# FewerJobs export - 100 curated jobs
Generated: 2026-09-26T16:20:44.423Z
Source: https://fewerjobs.com

## Filters applied
- **q**: Neural Magic
- **quality_floor**: default
- **match_401k_strict**: true
- **parental_strict**: true
- **non_birth_strict**: true
- **pto_strict**: true
- **include_older**: false
- **apply_url_verified**: false
- **page**: 3
- **per_page**: 100
- **sort**: relevance

## Jobs
### Mechanical Engineer, Implant - Neuralink
- Location: Austin, Texas, United States (unspecified)
- Salary: $120K-$224K
- Posted: 2024-12-18
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/6304285003?gh_jid=6304285003
- Excerpt: Mechanical Engineer, Implant Austin, Texas, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products. Job Description and Responsibilities: As a Mechanical Engineer at Neuralink, you will own the design and production of hardware solutions for our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and depth of first principles in mechanical engineering, manufacturing engineering, and test engineering. You will collaborate closely with other engineers (e.g., electrical engineers, chip designers, software engineers, robotics engineers) as well as neuroscientists, neurosurgeons, clinicians, animal care specialists, and other industry experts. You may own a major product from early concept to production, while also diving deep into smaller but essential manufacturing problems to unblock production. Responsibilities will include: - Exploring early device architectures and downselecting to drive design and company direction - Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation - Performing market research and gathering feedback from our users (e.g., patients, surgeons, animal care team) to inform product

### Automation Sales Specialist - Neural Magic
- Location: Remote US VA (remote)
- Salary: Not disclosed
- Posted: 2026-05-20
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-VA/Automation-Sales-Specialist_R-054706
- Excerpt: Automation Sales Specialist Remote US VA posted: Posted 23 Days Ago

### Electrical Engineer, Implant Embedded Systems - Neuralink
- Location: Austin, Texas, United States; South San Francisco, California, United States (unspecified)
- Salary: $110K-$238K
- Posted: 2026-04-16
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/7702524003?gh_jid=7702524003
- Excerpt: Electrical Engineer, Implant Embedded Systems Austin, Texas, United States; South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: We build the electrical systems that make high-bandwidth brain-computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration-all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems. Job Responsibilities : - Utilize electrical engineering fundamentals and best system design practices to deliver high-performant, reliable, and manufacturable extremely size-constraint systems - Contribute to all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification - Help conduct R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger - Work cross functionally to ensure successful systems integration - Contribute to system improvements that decrease latency and increase battery life, reliability, and safety - Design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality

### Training Services Account Specialist 3 - Neural Magic
- Location: 6 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-NY/Training-Services-Account-Specialist-3_R-057558
- Excerpt: Training Services Account Specialist 3 6 Locations posted: Posted Today

### Senior Principal Software Engineer - Neural Magic
- Location: Bangalore - Carina (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Senior-Principal-Software-Engineer_R-057386-1
- Excerpt: Senior Principal Software Engineer Bangalore - Carina posted: Posted 25 Days Ago

### Research Engineer, Voice - Inflection AI
- Location: Palo Alto, California, United States (unspecified)
- Salary: $225K-$325K
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/inflectionai/jobs/4681124006?gh_jid=4681124006
- Excerpt: Research Engineer, Voice Palo Alto, California, United States About Inflection AI Inflection AI is a Public Benefit Corporation empowering people with human-centered, emotionally intelligent AI. We're shaping the future of AI by combining emotional intelligence (EQ) and raw intelligence (IQ) to elevate people's potential. Inflection AI created Pi, the world's first emotionally intelligent AI, to help people work through decisions, emotions, and challenges. Pi is a personal AI agent powered by Inflection AI's foundation model, proving that AI can be personal, empathetic, and contextually aware. About the Role We're looking for a Member of Technical Staff (MTS), Research Engineer focused on voice and audio to help advance the spoken intelligence behind Pi. In this role, you'll work at the intersection of research and production-developing, training, and shipping neural models across the full spectrum of voice: speech synthesis, recognition, audio generation, and real-time spoken dialogue. You'll collaborate closely with ML engineers, product teams, and infrastructure to turn cutting-edge ideas in areas like neural audio codecs, diffusion-based TTS, and multimodal foundation models into the natural, expressive voice experiences that millions of Pi users interact with every day. What You'll Do - Research, develop, and optimize neural models for voice and audio-including text-to-speech, automatic speech recognition, audio generation, and spoken dialogue systems. - Build and maintain production-grade training and inference pipelines for voice models, with close attention to latency, naturalness, and scalability. - Run experiments end-to-end: data curation, model architecture design, training, evaluation, and ablation studies. - Collaborate with ML engineers, product teams,

### Software Development Manager - Compiler, AWS Neuron, Annapurna Labs - Amazon
- Location: Cupertino, California, USA (unspecified)
- Salary: $213K-$288K
- Posted: 2025-10-13
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3107270/software-development-manager-compiler-aws-neuron-annapurna-labs
- Excerpt: Software Development Manager - Compiler, AWS Neuron, Annapurna Labs Cupertino, California, USA The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, Neuron Kernel Interface (NKI) compiler, and runtime that natively integrates into popular ML frameworks, such as PyTorch and TensorFlow. Neuron Kernel Interface (NKI) is a bare-metal language and compiler for directly programming NeuronDevices available on AWS Trn/Inf instances. You can use NKI to develop, optimize and run new operators directly on NeuronCores while making full use of available compute and memory resources. AWS Neuron and Inferentia are used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is a responsible for building innovative silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and

### Cloud Architect - Puteaux, France - Neural Magic
- Location: Remote France (remote)
- Salary: Not disclosed
- Posted: 2026-05-15
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-France/OpenStack-Architect---Puteaux--France_R-052530-2
- Excerpt: Cloud Architect - Puteaux, France Remote France posted: Posted 28 Days Ago

### Staff Functional Safety Engineer, Robotics Compute, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $256K-$279K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckVL4OzqxwlIlGrjAkPdvjaG7a3X7jQt33zFyy9F38P0nEjsACxwdTMzGkws7oc-wAOvhhaRlxmUcaabwl75pcMCL-hwBC5OH9scZXEbcmNIiZcPNAWwSpd6_5oWpcg%3D%3D_V2&loc=US&title=Staff+Functional+Safety+Engineer
- Excerpt: Staff Functional Safety Engineer, Robotics Compute, DeepMind Mountain View, CA, USA At Google DeepMind Robotics we are pioneering bringing AI to the physical world. We are powering an era of physical agents, enabling robots to perceive, plan, think, use-tools, and act to better solve complex tasks. As a Staff Functional Safety Engineer, you will play a critical role in defining and implementing the functional safety architecture for high-performance robotics compute platforms. You will serve as a key bridge between high-level safety architectures and concrete deliverables. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $256000 - $279000 (USD) + 20% bonus target Learn more about benefits at Google . Design and implement hardware/firmware safety features, including safety islands and fallback mechanisms. Conduct FMEDA and fault injection campaigns to evaluate diagnostics. Lead testing and validation to ensure the entire hardware and software stack achieves strict certification against all targeted safety metrics and industry

### Senior Software Engineer -GCP - Neural Magic
- Location: 5 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-CO/Senior-Software-Engineer--GCP_R-053100
- Excerpt: Senior Software Engineer -GCP 5 Locations posted: Posted 18 Days Ago

### Applied Scientist, AWS Neuron Science Team - Amazon
- Location: Santa Clara, California, USA (unspecified)
- Salary: $172K-$222K
- Posted: 2025-12-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3139216/applied-scientist-aws-neuron-science-team
- Excerpt: Applied Scientist, AWS Neuron Science Team Santa Clara, California, USA The AWS Neuron Science Team is looking for talented scientists to enhance our software stack, accelerating customer adoption of Trainium and Inferentia accelerators. In this role, you will work directly with external and internal customers to identify key adoption barriers and optimization opportunities. You'll collaborate closely with our engineering teams to implement innovative solutions and engage with academic and research communities to advance state-of-the-art ML systems. As part of a strategic growth area for AWS, you'll work alongside distinguished engineers and scientists in an exciting and impactful environment. We actively work on these areas: - AI for Systems: Developing and applying ML/RL approaches for kernel/code generation and optimization - Machine Learning Compiler: Creating advanced compiler techniques for ML workloads - System Robustness: Building tools for accuracy and reliability validation - Efficient Kernel Development: Designing high-performance kernels optimized for our ML accelerator architectures A day in the life AWS Utility Computing (UC) provides product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Additionally, this role may involve exposure to and experience with Amazon's growing suite of generative AI services and other cloud computing offerings across the AWS portfolio. About the team AWS Neuron is the software of Trainium and

### Junior Technical Account Manager (Linux, Kubernetes)) - Neural Magic
- Location: Singapore (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Junior-Technical-Account-Manager--Graduate-FASTER-program-_R-054543
- Excerpt: Junior Technical Account Manager (Linux, Kubernetes)) Singapore posted: Posted Yesterday

### Analog IC Design and Verification Engineer - Neuralink
- Location: Fremont, California, United States (unspecified)
- Salary: $125K-$291K
- Posted: 2025-07-10
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/6644300003?gh_jid=6644300003
- Excerpt: Analog IC Design and Verification Engineer Fremont, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces SoC Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. Job Description and Responsibilities: The engineer will be responsible for analog and mixed-signal chip design, from circuit design to layout and verification. Other responsibilities include: - Design analog circuit building blocks and subsystems in transistor-level to achieve a variety of challenging noise, mismatch, distortion, power consumption, and cost requirements while satisfying top-level specifications - Works with layout teams to oversee block-level layout of multiple blocks - Planning and execution of analog verification plan for portion of IP or chip and runs complex simulations and analyses (e.g., power, performance, linearity, yield) on designs - Designs, programs, and runs complex tests and reviews tests of junior team members; ensures bugs and other issues are identified and appropriately analyzed - Consults with internal or external users and third-party vendors to guide implementation and ensure alignment with their needs and goals Required Qualifications: - Bachelor of Science degree and additional experience in a related technical field for

### Marketing Automation & Operations Lead - Neural Magic
- Location: Bangalore - Carina (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Marketing-Automation---Operations-Lead_R-056224-1
- Excerpt: Marketing Automation & Operations Lead Bangalore - Carina posted: Posted 30+ Days Ago

### Mechanical Engineering Intern, Brain Interfaces - Neuralink
- Location: Austin, Texas, United States (unspecified)
- Salary: Not disclosed
- Posted: 2025-04-16
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/6545426003?gh_jid=6545426003
- Excerpt: Mechanical Engineering Intern, Brain Interfaces Austin, Texas, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing of all mechanical systems in our implant and charger. Our team also develops test infrastructure to accelerate hardware development and manufacturing, designs electronics packaging for our charger and implant electronics, and creates tooling to interface the implant with the surgical robot. Job Description and Responsibilities: As a Mechanical Engineering Intern, you will support the design and production of hardware solutions for our brain-computer interface devices, including components for surgical robotics, automation, microfabrication, and more. You will have the opportunity to contribute to projects at various stages from concept through production, applying your mechanical engineering knowledge in the challenging field of brain-computer interfaces. Additionally, you will be expected to: - Design, build, test, and validate systems for the implant and related hardware components - Develop and improve manufacturing processes and equipment to support in-house production - Scope, design and iterate custom tooling and fixturing required for the implant assembly line - Work with Quality, Electrical Engineering, BCI Software, Microfabrication, and Surgery Engineering to define system requirements, verification and validation tests, and more - Adhere to aggressive project schedules and ensure timely completion from inception to implementation Required Qualifications:

### Senior Solution Architect - Public Sector - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Senior-Solution-Architect---Public-Sector_R-056164-1
- Excerpt: Senior Solution Architect - Public Sector Tokyo posted: Posted 30+ Days Ago

### Virtualization Architect - (Remote, UK) - Neural Magic
- Location: Remote UK (remote)
- Salary: Not disclosed
- Posted: 2026-05-13
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-UK/Virtualization-Architect----Remote--UK-_R-056257-1
- Excerpt: Virtualization Architect - (Remote, UK) Remote UK posted: Posted 30 Days Ago

### Senior or Principal Software Engineer - Red Hat Linux Virtualization (Brno Office, Czech Republic) - Neural Magic
- Location: Brno - Tech Park Brno - C (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brno---Tech-Park-Brno---C/Senior-or-Principal-Software-Engineer---Red-Hat-Linux-Virtualization--Brno-Office--Czech-Republic-_R-056275
- Excerpt: Senior or Principal Software Engineer - Red Hat Linux Virtualization (Brno Office, Czech Republic) Brno - Tech Park Brno - C posted: Posted 18 Days Ago

### Strategic Account Manager - Public Sector - Neural Magic
- Location: Singapore (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Strategic-Account-Manager---Public-Sector_R-053649
- Excerpt: Strategic Account Manager - Public Sector Singapore posted: Posted 30+ Days Ago

### Senior Software Engineer - Networking - Neural Magic
- Location: Bangalore - Carina (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Senior-Software-Engineer---Networking_R-055630
- Excerpt: Senior Software Engineer - Networking Bangalore - Carina posted: Posted 18 Days Ago

### Production Set Designer, Robotics, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $164K-$240K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckToBFj9a1tI4xgUva3yNY8xqVRnYC8_47dGkhcjp4dS6EjsACxwdTEvcNYO4CQ9BpPjFgDl7S9OiCxiVXUxpuZpqdkwuDsR9c76fAft3jAKm8awHZSz-JzT9PFS2PQ%3D%3D_V2&loc=US&title=Production+Set+Designer
- Excerpt: Production Set Designer, Robotics, DeepMind Mountain View, CA, USA Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $164000 - $240000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Architect and execute scene staging for robotic data collection. Focus on set design and deployment, applying high-end production standards to robotic integration. Act as the primary liaison between researchers defining data goals, engineering teams integrating robotic work cells, and production teams managing staging logistics. Coordinate scene layouts with robot work cell configurations. Ensure environments are optimized for high-quality data capture while maintaining safe, efficient robotic operations. Manage inventory, scheduling, and logistics for all set components, props, and equipment. Monitor scene performance and data quality to pinpoint friction points. Identify bottlenecks in set design or integration and implement iterative, systemic improvements. Minimum qualifications: Bachelor's degree or equivalent practical experience. Certification in 5S or Six

### Technical Account Manager - OpenShift/RHEL - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Jakarta---MSO/Technical-Account-Manager---OpenStack_R-053343
- Excerpt: Technical Account Manager - OpenShift/RHEL 2 Locations posted: Posted 3 Days Ago

### Advanced Technology: R&D Engineer - AI/ML, HPC - Cerebras Systems
- Location: Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-06
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7691343003
- Excerpt: Advanced Technology: R&D Engineer - AI/ML, HPC Sunnyvale, CA; Toronto, Ontario, Canada; Vancouver, British Columbia, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Team Cerebras builds wafer-scale AI processors-single chips delivering tens of PB/s of memory bandwidth and a dataflow architecture that accelerates at a granularity no multi-device system can match. The Advanced Technology Group (ATG) is Cerebras ' pathfinding organization. We work ahead of product to explore new architectures, demonstrate breakthrough performance on scientific and AI workloads, and shape the technical roadmap for future Cerebras hardware and software. Our work regularly appears at top-tier venues (Supercomputing,

### Solution Architect - Enterprise - Neural Magic
- Location: Bangkok - MSO - Gaysorn (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangkok---MSO---Gaysorn/Solution-Architect---Enterprise_R-052095
- Excerpt: Solution Architect - Enterprise Bangkok - MSO - Gaysorn posted: Posted 2 Days Ago

### Senior Account Solution Architect - Defence - Neural Magic
- Location: Canberra (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Canberra/Senior-Account-Solution-Architect_R-056392-1
- Excerpt: Senior Account Solution Architect - Defence Canberra posted: Posted 18 Days Ago

### Software Engineer, Next Gen - Neuralink
- Location: South San Francisco, California, United States (unspecified)
- Salary: $151K-$281K
- Posted: 2025-07-23
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/6658884003?gh_jid=6658884003
- Excerpt: Software Engineer, Next Gen South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. Job Description and Responsibilities: As a Software Engineer, you will write, test and deploy software that interacts with our neural interfaces and other data acquisition systems to decode and modulate brain activity. We are looking for hands-on engineers who are excited to own the end-to-end engineering of next-generation software systems for the control of neural stimulation, visual prosthesis (Blindsight) and medical imaging data pipelines. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency. The job responsibilities will include: - Developing, validating, testing, and deploying software systems - Writing algorithms to decode and modulate neural activity - Designing user experiences centered around neural control of devices - Mentoring others in achieving engineering excellence through code review, design review,

### ASIC Architect - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7753254003
- Excerpt: ASIC Architect Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Responsibilities - Translate high level architecture spec to micro-architecture feature requirements - Bring up new features in the performance/power model - Perform comprehensive PPA trade-offs for new architectural features - Extract insights for new features and micro-architecture power efficiency - Profile workloads, identify bottlenecks and project competition performance for benchmarking - Engage with SW teams for end-end application level modeling at cluster level - Identify kernel level HW acceleration level opportunities Qualifications - Masters/PhD in Electrical/Computer Engineering - 10+ years of experience across performance analysis and modeling across

### Senior Account Solution Architect - FSI - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Senior-Account-Solution-Architect---FSI_R-051257-2
- Excerpt: Senior Account Solution Architect - FSI Tokyo posted: Posted 30+ Days Ago

### Senior Machine Learning Engineer, AI Agent - Genies
- Location: Genies San Francisco, San Francisco, California, U.S, Genies LA (unspecified)
- Salary: $200K-$275K
- Posted: 2026-03-18
- Apply: https://jobs.ashbyhq.com/genies/ae03b525-fe3e-4c81-9832-be6405e7fd0a
- Excerpt: Senior Machine Learning Engineer, AI Agent Genies San Francisco, San Francisco, California, U.S, Genies LA Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. About the Role: We are seeking a highly motivated and passionate Senior Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Be Doing: - Research and implement state-of-the-art solutions using foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures, alongside classical machine learning techniques for a multi-modal AI chat product. - Architect, implement, and deliver scalable AI features and agentic systems

### Principal Software Engineer - Virtualization - Neural Magic
- Location: Bangalore - Carina (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Principal-Software-Engineer---Virtualization_R-052706-1
- Excerpt: Principal Software Engineer - Virtualization Bangalore - Carina posted: Posted 28 Days Ago

### Firmware Engineer, Robotics and Surgery Engineering - Neuralink
- Location: Austin, Texas, United States; South San Francisco, California, United States (unspecified)
- Salary: $138K-$300K
- Posted: 2024-06-11
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/6021322003?gh_jid=6021322003
- Excerpt: Firmware Engineer, Robotics and Surgery Engineering Austin, Texas, United States; South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team - a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals - collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience. Job Description and Responsibilities: This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass: - Developing and optimizing embedded software for robotic surgery applications - Streamlining our codebase by refining and, when necessary, retiring legacy embedded software - Rigorous testing and validation of software systems to meet the highest safety and reliability standards - Participating in peer code reviews - Writing drivers and applications to extend the functionality of our robotics - Specifying hardware and software choices as we develop future hardware platforms - Sharing your findings and progress with the team in a collaborative environment Required Qualifications: - Demonstrated track record of success in a science or engineering

### Senior Software Engineer - Sovereign Cloud - Neural Magic
- Location: Raanana (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raanana/Senior-Software-Engineer---Sovereign-Cloud_R-057113-1
- Excerpt: Senior Software Engineer - Sovereign Cloud Raanana posted: Posted 18 Days Ago

### Generative AI Inference Engineer - Stability AI
- Location: United States (unspecified)
- Salary: Not disclosed
- Posted: 2025-11-17
- Apply: http://stability.ai/careers?gh_jid=4712826101
- Excerpt: Generative AI Inference Engineer United States Generative AI Inference Engineer About the role: We are seeking passionate Machine Learning Engineers to join our Inference team, focusing on the creative applications of generative AI models. The ideal candidate will have substantial experience developing and running inference for multi-modal models. A deep understanding of diffusion model architectures and familiarity with workflow tools like ComfyUI are a big plus. You will be expected to leverage and push the boundaries of state-of-the-art inference optimization techniques for multi-modal generative models. This role offers the opportunity to work alongside top researchers and engineers, utilizing cutting-edge high-performance computing resources to make a significant impact in the rapidly evolving field of generative AI. Responsibilities: - Lead efforts to drive the design, development of customer-facing multi modal ML inference systems. - Work with the Platform and Inference teams on building inference systems for the next generation of models, where you will work on areas such as optimization, model tuning and deployment. - Partner with leading cloud providers to deliver hosted Stability AI inference solutions. - Be a strategic thought partner for leaders across the organization on driving business impact through machine learning - Be part of the team to bring new Stability models and pipelines into existence - Prototype and productionize inference platform improvements and new features Qualifications: - 7+ years working on productionizing machine learning systems, including inference pipeline development - Expert level knowledge on writing and running python services at scale - 5+ years working on python

### Security SWE - Cerebras Systems
- Location: Sunnyvale CA or Toronto Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-11
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7647319003
- Excerpt: Security SWE Sunnyvale CA or Toronto Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a frontend engineer on our AI cloud, you will work on our customer-facing inference, training, and admin consoles and API experiences. In this role, you will be responsible for designing and building responsive, user-friendly frontend interfaces that provide an optimal experience for our developers, handling high traffic and throughput efficiently. Your familiarity with the latest web development frameworks and best practices, coupled with a keen eye for design and user experience, will drive team success. We're looking for talented software engineers

### Strategic Account Director, Financial Services - Neural Magic
- Location: Melbourne (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Melbourne/Strategic-Accounts-Manager--FSI-_R-056840-1
- Excerpt: Strategic Account Director, Financial Services Melbourne posted: Posted 9 Days Ago

### Kernel Engineer - Cerebras Systems
- Location: Bengaluru, Karnataka, India (unspecified)
- Salary: Not disclosed
- Posted: 2025-10-06
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7486714003
- Excerpt: Kernel Engineer Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Kernel Engineer on our team, you will develop high-performance software solutions at the intersection of hardware and software, developing high-performance software for cutting-edge AI and HPC workloads. Your focus will be on implementing, optimizing, and scaling deep learning operations to fully leverage our custom, massively parallel processor architecture. You will be part of a world-class team responsible for the design, performance tuning, and validation of foundational ML and HPC kernels. This includes building a library of parallel and distributed algorithms that maximize

### Electrical Engineer Intern, Implant Embedded Systems - Neuralink
- Location: Austin, Texas, United States; South San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-16
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/7702527003?gh_jid=7702527003
- Excerpt: Electrical Engineer Intern, Implant Embedded Systems Austin, Texas, United States; South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: We build the electrical systems that make high-bandwidth brain-computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration-all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems. Job Description and Responsibilities: We are looking for an experienced, hands-on electrical engineer for implant electronics board design, integration with our custom chips, testing, and quality control. You will have the opportunity to contribute to advanced projects, not only work on incremental changes, and be an integral member of a small, fast-moving team. You will be working on all phases of board design (part selection, schematic design, layout, and bring-up) as well as collaborating closely with chip designers, firmware engineers, mechanical engineers, and microfabrication experts for system integration. - Utilize electrical engineering fundamentals and best system design practices to build on your ability to

### Consulting Services Account Specialist - Neural Magic
- Location: Brasilia - MSO (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Brasilia---MSO/Consulting-Services-Account-Specialist_R-056450-1
- Excerpt: Consulting Services Account Specialist Brasilia - MSO posted: Posted 30+ Days Ago

### Principal /Staff AI Engineer - Cortex Code Agentic System - Snowflake Inc.
- Location: US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-22
- Non-birth-parent leave: 12 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.ashbyhq.com/snowflake/ae43323e-8b10-4c01-b1af-987145191d01
- Excerpt: Principal /Staff AI Engineer - Cortex Code Agentic System US-CA-Menlo Park, Menlo Park, California, United States, US-WA-Bellevue At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset - who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role The Cortex Code team is building the future of coding agents for working with data. See our flagship product in action: Cortex Code in Action: Live Demos + AMA . As a Staff/Principal AI Engineer on Cortex Code , you will help define architect agent behavior at enterprise scale by building the agentic systems and methodology that make our users build cutting edge agentic systems that are efficient, repeatable, auditable, and shippable. You'll partner with modeling, platform, and product leadership to turn customer pain into golden scenarios, metrics, and experiment loops that the whole team can trust. Responsibilities: - Agent strategy & systems: Own major pillars of the quality stack: tuning agent behavior

### AI Trainer – Psychologists (CAN) - Prolific
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-07
- Apply: https://job-boards.eu.greenhouse.io/prolific/jobs/4761606101
- Excerpt: AI Trainer – Psychologists (CAN) Remote AI Trainer - Psychologists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Psychology experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing psychology-related content Judging the performance of AI on psychology, behavioural science, and human cognition prompts Improving cutting-edge AI models using your understanding of psychological theory and human behaviour What you'll bring Background in Psychology and ideally a degree in Psychology or a closely related field A solid understanding of psychological theory, research methods, and

### Sr Principal Software Engineer (Azure) - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Boston/Sr-Principal-Software-Engineer--Azure-_R-057225-1
- Excerpt: Sr Principal Software Engineer (Azure) 2 Locations posted: Posted Yesterday

### AI Engineer, Model Quality and Performance - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-15
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7735288003
- Excerpt: AI Engineer, Model Quality and Performance Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role You'll own model quality and performance for Cerebras' inference offerings. You will define what "good" looks like across the models we serve, building AI-driven systems to measure it at scale, and translating those signals into artifacts our customers and product team actually use. You'll use AI agents to spin up custom eval suites per customer use case, mine trajectories for representative test data, automate the repetitive parts of release qual, and help build performance datasets and benchmarking workflows for customer use

### Enterprise Principle Program Marketing Manager - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Enterprise-Principle-Program-Marketing-Manager_R-057325-1
- Excerpt: Enterprise Principle Program Marketing Manager Tokyo posted: Posted 3 Days Ago

### AI Coach - Multiverse
- Location: Remote (UK), UK, London (remote)
- Salary: Not disclosed
- Posted: 2026-05-18
- Apply: https://jobs.ashbyhq.com/multiverse/17a97d3e-6037-43e4-8224-306b1a81324b
- Excerpt: AI Coach Remote (UK), UK, London Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today's workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they've learned to improve productivity and measurable performance. In June 2022, we announced a $220 million Series D funding round co-led by StepStone Group, Lightspeed Venture Partners and General Catalyst. With a post-money valuation of $1.7bn, the round makes us the UK's first EdTech unicorn. But we aren't stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We're building a world where tech skills unlock people's potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. The Opportunity As an AI Cohort Coach you will be responsible for guiding the learning experience for apprentices and helping them reach their full potential. Your role will be focusing on personalised coaching, where you'll be supporting apprentices across multiple businesses to become the next generation of business leaders. Specifically, You Will - Guide apprentices to successful, timely completion of their programme. - Master group and individualised coaching techniques to enhance apprentice learning. - Adhere to coach quality frameworks to ensure a consistent level of quality for every coaching session and

### OpenShift Technical Account Manager - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Buenos-Aires/OpenShift-Technical-Account-Manager_R-051235-1
- Excerpt: OpenShift Technical Account Manager 2 Locations posted: Posted 18 Days Ago

### AI Systems, Training - Unconventional AI
- Location: Palo Alto, CA I US Remote (remote)
- Salary: Not disclosed
- Posted: 2026-04-15
- 401(k) match: listed (not source-backed)
- Apply: https://unconv.ai/careers/?gh_jid=4222286009
- Excerpt: AI Systems, Training Palo Alto, CA I US Remote About Unconventional Since 2022, AI has entered the mainstream, reshaping entire industries from education and software development to fundamental consumer behaviors. This revolution has created an unprecedented demand for computation - a demand that is now fundamentally limited by energy, not just in the datacenter, but at a global scale. At Unconventional, our mission is to solve this. We are rethinking computing from the ground up to build a new foundation for AI that is 1000x more efficient. We're doing this by exploiting the rich physics of semiconductors, mapping neural networks directly to the device physics rather than relying on layers of inefficient abstraction. The Role You will be a key contributor to our training ecosystem. Your goal is to build the next-generation ML model training platform tailored for a world where compute is no longer constrained by the digital abstraction. You will co-design and implement training systems alongside novel AI models and hardware platforms that push the boundaries of physics-based compute. What You'll Do - The Model Architectures: Build and maintain highly optimized, model-specific training stacks specifically tuned for state-of-the-art generative vision, language, and world models. - The Training Infrastructure: Design and scale multi-node distributed training systems, implementing elastic sharding and robust data streaming pipelines for fast, large-scale iteration. Implement and robust model checkpointing and recovery mechanisms. - Optimization & Benchmarking: Develop and optimize kernels using low-level programming models like CUDA andTriton. Design rigorous benchmarking suites to track Model Flops

### Senior Digital Marketing Strategist, APAC - Neural Magic
- Location: Singapore (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Senior-Digital-Strategist--APAC_R-055730
- Excerpt: Senior Digital Marketing Strategist, APAC Singapore posted: Posted 10 Days Ago

### Manager - Software Engineering - Virtualization - Neural Magic
- Location: Bangalore - Carina (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-09
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Manager---Software-Engineering---Virtualization_R-055464-1
- Excerpt: Manager - Software Engineering - Virtualization Bangalore - Carina posted: Posted 3 Days Ago

### Game Designer, Games, Inception, DeepMind - DeepMind
- Location: London, UK (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckXURblUQC5-b1JG9uq9UTetKyAH1pHU-qIO0sAHKS7ycEjsACxwdTKKrBkGxZ6yA-z-9OUvqYr8H0DuaBnR_folTXFs5W-H3LQzKAzganHUa_gmz4SblR7kKBnchwg%3D%3D_V2&loc=GB&title=Game+Designer
- Excerpt: Game Designer, Games, Inception, DeepMind London, UK DeepMind has long-established connections with gaming, whether through early AI-breakthroughs mastering Atari games or Starcraft, and more recent research with Genie and SIMA agents. We are looking for a Game Designer with a deep understanding of core systems, player psychology, and interactive storytelling to help us architect a new generation of breakthrough experiences. If you are a systems-thinker who views AI not just as technology, but as a brand-new design material, we want you on the team. Inception runs like a startup, balancing high energy idea generation with pragmatic, clear and regularly refined operations. This collaborative, multidisciplinary group is situated primarily in London and Mountain View with collaborators across the globe. It has a sizable and different portfolio of early stage, design focused projects, with a focus on breakthrough experiences that wouldn't be possible without AI. Your mission is to design core loops, mechanics, and gameplay systems that would be fundamentally impossible without AI. You will be the creative glue bridging the gap between machine learning research and player-facing fun. As a Game Designer, you will advocate a "show, don't tell" culture by translating abstract AI capabilities into tangible game prototypes. You will collaborate with cross-functional teams to define player agency, map out system dynamics, and steer creative ideation sessions that push the boundaries of modern game design. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on

### Electrical Engineer, Robotics Hardware - FieldAI
- Location: Boston, MA (unspecified)
- Salary: $70K-$300K
- Posted: 2026-06-05
- Apply: https://jobs.lever.co/field-ai/93042d45-ffe3-46a1-8eaf-e229ea228b06
- Excerpt: Electrical Engineer, Robotics Hardware Boston, MA Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Hardware Team: The Hardware Team at Field AI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We're a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Electrical Systems Role: As an Electrical Engineer on the Hardware Team at Field AI, you will contribute to the design and implementation of electrical systems that enable power and communications across the sense and compute packages. Your work will span across power systems, wire harnesses, PCB design, and communications networks with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full

### Senior Performance Engineer, Inference - Cerebras Systems
- Location: Sunnyvale, CA (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-13
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7698266003
- Excerpt: Senior Performance Engineer, Inference Sunnyvale, CA Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role We are hiring a Senior Performance Engineer to join our Product team. You are an expert on state-of-the-art inference performance and will serve as our resident expert on how Cerebras stacks up against alternative inference providers on both price and performance. This role sits at the intersection of performance benchmarking from first principles and competitive intelligence. The role has two core pillars: - Performance Benchmarking You will build, run, and maintain reproducible benchmarks that measure Cerebras inference performance for real customer workloads. This

### Consulting Services Account Specialist - Telco - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Consulting-Services-Account-Specialist_R-056047-1
- Excerpt: Consulting Services Account Specialist - Telco Tokyo posted: Posted 18 Days Ago

### Deep learning Engineer - STMicroelectronics
- Location: Greater Noida, India | Bangalore, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- 401(k) match: listed (not source-backed)
- Apply: https://stmicroelectronics.eightfold.ai/careers/job/563637172189717
- Excerpt: Deep learning Engineer Greater Noida, India | Bangalore, India

### Principal Software Engineer - OpenShift & Kubernetes - Neural Magic
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Principal-Software-Engineer---OpenShift---Kubernetes_R-056776-1
- Excerpt: Principal Software Engineer - OpenShift & Kubernetes 3 Locations posted: Posted Yesterday

### Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months) - SAP
- Location: Region Europe | Country Germany | Internal Posting Location St. Leon-Rot (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-12
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.sap.com/job/St_-Leon-Rot-Limited-employment-up-to-6-months-%28fmd%29-Neuro-Symbolic-AI-The-Next-Frontier-%286-Months%29-68789/1380904533/
- Excerpt: Limited employment up to 6 months (f/m/d) - Neuro-Symbolic AI: The Next Frontier (6 Months) Region Europe | Country Germany | Internal Posting Location St. Leon-Rot We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build As a Research Fellow in the Global Content Group (GCG) Engineering team, you will: Research and prototype neuro-symbolic AI approaches that combine the reasoning power of structured knowledge graphs with the generalization capabilities of large language and foundation models Develop methods to inject ontology-level knowledge - concepts, relationships, and constraints - directly into foundation models, enabling them to generate accurate, schema-aware SPARQL queries from natural language Design and evaluate knowledge-grounded question answering (Q&A) systems that go beyond retrieval-augmented generation, leveraging formal ontologies to improve precision, explainability, and faithfulness of model outputs Benchmark your approaches against existing text-to-SPARQL and semantic Q&A baselines on enterprise knowledge graphs Collaborate with a global team of software engineers, data scientists, and researchers on cutting-edge challenges at the intersection of symbolic AI and

### Principal Software Engineer - Virtualization - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-02
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Lowell/Principal-Software-Engineer---Virtualization_R-056736
- Excerpt: Principal Software Engineer - Virtualization 2 Locations posted: Posted 10 Days Ago

### Machine Learning: World Models - The Bot Company
- Location: San Francisco (unspecified)
- Salary: Not disclosed
- Posted: 2026-02-25
- Apply: https://jobs.ashbyhq.com/thebotcompany/6de29f3a-054f-4aa7-b606-ff2e48cf0b6e
- Excerpt: Machine Learning: World Models San Francisco The Bot Company We're building a helpful robot for every home. We're a small team of engineers, designers, and operators based in San Francisco. Our team comes from Tesla, Cruise, OpenAI, Google, Pixar, and many other great companies. In the past we've shipped to hundreds of millions of users and know what it takes to build amazing products and experiences. Our team is deliberately lean to promote rapid decision making and do away with bureaucracy and hierarchy. Everyone is an IC and is empowered with massive scope, radical ownership, and direct responsibility. We work across the stack with a culture built for rapid iteration and fast execution. What we look for in all candidates All roles at The Bot Company demand extreme sharpness and the ability to move fast in high-intensity environments. Throughout the process, we expect candidates to demonstrate: - Exceptional mental acuity: you think quickly, learn instantly, and reason across unfamiliar domains. - Engineering curiosity: you naturally dig into how systems work, even outside your specialty. - High performance mindset: you move fast, handle ambiguity, and excel when the environment is demanding. Machine Learning: World Models We are building neural simulators that understand the "grammar" of the physical world, including physics, causality, and long-term dynamics. You will develop video generation into controllable, large-scale world models. What You'll Do - Architect Neural Simulators: Design and train spatiotemporal models that move beyond short clips toward coherent, long-form world simulations. - Scale Training: Own the

### AI Field Engineer - AI Natives - Fireworks AI
- Location: New York, NY; Remote, USA; San Mateo, CA (remote)
- Salary: $200K-$260K
- Posted: 2026-06-09
- Apply: https://job-boards.greenhouse.io/fireworksai/jobs/4280748009
- Excerpt: AI Field Engineer - AI Natives New York, NY; Remote, USA; San Mateo, CA About Us: At Fireworks, we're building the future of generative AI infrastructure. Our platform delivers the highest-quality models with the fastest and most scalable inference in the industry. We've been independently benchmarked as the leader in LLM inference speed and are driving cutting-edge innovation through projects like our own function calling and multimodal models. Fireworks is a Series C company valued at $4 billion and backed by top investors including Benchmark, Sequoia, Lightspeed, Index, and Evantic. We're an ambitious, collaborative team of builders, founded by veterans of Meta PyTorch and Google Vertex AI. In the last few months alone we launched Fireworks Training, partnered with Microsoft Azure Foundry, and published research straight from our production systems. A few examples of what that looks like in practice: - Frontier RL is cheaper than the mega-cluster narrative suggests: we ran cross-region rollouts using 98% sparse weight deltas and published what we learned. ( blog ) - Open source agents with frontier advisors: matching frontier performance through training and harness engineering. ( blog ) - The fine-tuning bottleneck is not the algorithm: integration friction and iteration speed are what actually stall teams; we documented the patterns across dozens of customer engagements. ( blog) The Role: AI Field Engineers at Fireworks are the technical tip of the spear. You embed with our most ambitious customers and technology partners to turn complex AI problems into production systems, fast. The role sits

### Principal Software Engineer - Virtualization - Neural Magic
- Location: Bangalore - Carina (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-04
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Principal-Software-Engineer_R-057767-1
- Excerpt: Principal Software Engineer - Virtualization Bangalore - Carina posted: Posted 8 Days Ago

### Specialist Solution Architect - OpenShift and AppServices - Neural Magic
- Location: Singapore (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-03
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Specialist-Solution-Architect---OpenShift-and-AppServices_R-056512
- Excerpt: Specialist Solution Architect - OpenShift and AppServices Singapore posted: Posted 9 Days Ago

### Generative AI Applied Scientist, SIML - ISE - Apple
- Location: Cupertino, United States of America (unspecified)
- Salary: $147K-$272K
- Posted: 2026-06-09
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200632699/generative-ai-applied-scientist-siml-ise?team=MLAI
- Excerpt: Generative AI Applied Scientist, SIML - ISE Cupertino, United States of America Apple's System Intelligence and Machine Learning (SIML) team is seeking a senior Generative AI expert to pioneer the next generation of human-centric device interaction and multimodal scene understanding. You will be at the core of our efforts to develop multimodal LLMs that can perceive and understand complex scenes and nuanced human interactions, behaviors, and preferences. This is a unique opportunity to join a leading applied research group known for its foundational contributions to Apple Intelligence, where you will focus on the end-to-end lifecycle of generative models-from novel architecture design and large-scale training to final deployment. We are looking for a senior applied scientist with strong ML and Generative modeling skills who can design, train, and deploy multimodal GenAI technology. You will need to learn quickly and implement and demonstrate new user experiences using large foundation models. You will build novel and innovative technology, forge collaborations with cross-functional partners, and adapt and iterate your solutions in a dynamic environment. You will be expected to advance human interaction and scene understanding modeling across various fronts, from a system level to a core ML algorithm level. Some of the myriad challenges include understanding user behavior and preferences from interactions with the device and the environment, retrieving useful and nuanced information based on past interactions, handling deeply interleaved streaming inputs, reasoning over varying temporal contexts, developing memory systems to enable long-term adaptation, and generating semantically rich internal representations to enable open-ended downstream

### Senior Software Engineer - Openstack - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-05
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Senior-Software-Engineer---Red-Hat-Openstack-Engineering_R-056500-1
- Excerpt: Senior Software Engineer - Openstack 2 Locations posted: Posted 7 Days Ago

### Principal Deep Learning Engineer – Perception, Autonomous Driving - NVIDIA Corporation
- Location: US, CA, Santa Clara (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- 401(k) match: listed (not source-backed)
- Apply: https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Principal-Deep-Learning-Engineer---Perception--Autonomous-Driving_JR2014770
- Excerpt: Principal Deep Learning Engineer – Perception, Autonomous Driving US, CA, Santa Clara posted: Posted 30+ Days Ago

### Junior Consultant (Linux, Software development) - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-28
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Junior-Consultant_R-054538
- Excerpt: Junior Consultant (Linux, Software development) Tokyo posted: Posted 15 Days Ago

### ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs - Amazon
- Location: Seattle, Washington, USA (unspecified)
- Salary: $144K-$194K
- Posted: 2025-08-08
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3055108/ml-compiler-engineer-ii-neuron-kernel-interface-annapurna-labs
- Excerpt: ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing

### Enterprise Principal Program Marketing Manager - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/Enterprise-Principle-Program-Marketing-Manager_R-051171-2
- Excerpt: Enterprise Principal Program Marketing Manager Tokyo posted: Posted 30+ Days Ago

### Executive Policy Engagement Manager, DeepMind - DeepMind
- Location: London, UK (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-14
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckUIXkwOmb2u7F1xazHU2kCalZNTNSJqIAK3c0C4BFDDnEjsACxwdTPrreIL9ot0qdmXMb2jk1ko4pIjCv_N-cVkWxcsThkwaHJXvVO9QpuEkovnQ6yrH5ulU83_Mqg%3D%3D_V2&loc=GB&title=Executive+Policy+Engagement+Manager
- Excerpt: Executive Policy Engagement Manager, DeepMind London, UK In this role, you will drive the implementation of our executives' policy engagement strategies, develop briefings, manage complex international engagements, and prepare our leadership for high-profile global events. You are a dynamic professional working at the intersection of policy, communications, and executive management. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Collaborate with senior colleagues and executive offices to shape and drive the implementation of long-term policy engagement strategies for GDM executives. Draft briefing materials, talking points, and background notes. Brief executives ahead of critical engagements and provide on-the-ground support as part of a wider team. Develop tailored narratives and messaging to ensure all executive external communications are strategic, consistent, and highly impactful. Build and maintain an active network across government, think tanks, and industry partners to proactively support the delivery of the engagement strategy. Maintain the operational infrastructure including forward-planning, opportunity triage, and knowledge systems, while delivering concise, actionable updates on global policy and tech developments. Minimum qualifications: Bachelor's

### Senior Cloud Consultant - Defense - Neural Magic
- Location: Remote Netherlands (remote)
- Salary: Not disclosed
- Posted: 2026-06-09
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Netherlands/Senior-Cloud-Consultant---Defense_R-057180-1
- Excerpt: Senior Cloud Consultant - Defense Remote Netherlands posted: Posted 3 Days Ago

### Machine Learning Engineer: LLM Interpretability & Systems - CTGT
- Location: San Francisco | OnSite (onsite)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://jobs.ashbyhq.com/ctgt/c6916802-4158-4f24-b4b1-ac978157b6d9
- Excerpt: Machine Learning Engineer: LLM Interpretability & Systems San Francisco | OnSite ABOUT CTGT & THE MISSION Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence. Born out of Stanford University research, we provide the control plane that makes it possible. A lightweight, model-agnostic system that enforces policy, prevents drift, and produces auditable decisions in real time. While we sit on the edge of AI research, CTGT brings frontier intelligence into real-world environments. We apply cutting-edge theory directly in production to make large language models more reliable, controllable, and performant in practice. Our mission is to bring models to the level of performance and accountability required by the Fortune 500. By bridging the gap between LLM capabilities and domain-specific requirements, we unlock the true potential of generative AI to solve the most pressing problems in our world today. THE ROLE A new open-source model is released and you are compelled to reach inside and understand how it actually works. You instinctively try to push it beyond what most people say is already impressive. You observe model behavior and don't think, “What's a better prompt?”, but “How do I improve its fundamentals?” CTGT's Senior Machine Learning Engineer will operate deep within the model stack, working directly with weights, activations, and architectures to build the systems that make AI

### Cloud Sales Lead (Enterprise) - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-23
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Sydney/Cloud-Sales-Lead--Enterprise-_R-056718-1
- Excerpt: Cloud Sales Lead (Enterprise) 2 Locations posted: Posted 20 Days Ago

### Market Development Representative - ASEAN - Neural Magic
- Location: Kuala Lumpur (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-29
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Kuala-Lumpur/Market-Development-Representative---ASEAN_R-056381-1
- Excerpt: Market Development Representative - ASEAN Kuala Lumpur posted: Posted 14 Days Ago

### Model Behavior Tutor - Epistemic Rigor & Truthfulness - xAI
- Location: Remote (remote)
- Salary: $40-$70/hr
- Posted: 2026-01-08
- Apply: https://job-boards.greenhouse.io/xai/jobs/5017518007
- Excerpt: Model Behavior Tutor - Epistemic Rigor & Truthfulness Remote ABOUT xAI xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: You will ensure Grok reasons carefully, resists motivated reasoning, and communicates uncertainty and evidence proportionately. RESPONSIBILITIES: - Assess model outputs for factual accuracy, logical coherence, fallacious reasoning, and hidden assumptions. - Identify subtle ideological capture, statistical fallacies, and rhetorical sleights of hand. - Write exemplary reasoning that models intellectual honesty, source evaluation, nuanced weighing of primary and secondary sources, and scoping of confidence. - Construct adversarial examples and red-team prompts to expose remaining epistemic weaknesses. - Contribute to the definition and scaling of constitutional principles for truth-seeking behavior. BASIC QUALIFICATIONS: - Published analytical work and academic training in a high-rigor field. - Strong Forecasting track record (e.g., Metaculus, Good Judgment), rigorous analysis, or public updating on errors. - Deep knowledge in at least three of: philosophy of

### Customer Support Specialist - Japanese/Mandarin speaker - Neural Magic
- Location: Remote Australia (remote)
- Salary: Not disclosed
- Posted: 2026-06-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-Australia/Customer-Support-Specialist---Japanese-speaker_R-056669-1
- Excerpt: Customer Support Specialist - Japanese/Mandarin speaker Remote Australia posted: Posted Today

### Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind - DeepMind
- Location: Mountain View, CA, USA (unspecified)
- Salary: $262K-$365K
- Posted: 2026-06-10
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSZj4vQVVlRqYJFjCKGPwCSj_tMcXekh_jwuDtQbTsBTEjsACxwdTEgV-Px1nAPgC2Bkx8m_qii7QjhECMIwAtgr8qTSHXtS1oyLPTNRGlKhf0YqtaqMVouoXdyIQw%3D%3D_V2&loc=US&title=Senior+Staff+Research+Scientist
- Excerpt: Senior Staff Research Scientist, Gemini Safety Post-Training, DeepMind Mountain View, CA, USA As models become more agentic, executing long-horizon tasks, using tools, writing and running code, operating across multi-step workflows, the challenge of making them safe fundamentally changes. Surface-level safety methods (output filtering, refusal tuning, policy guardrails) were designed for single-turn interactions. They are not enough for agents that plan, act, and adapt over extended horizons. We are looking for a Senior Staff Research Scientist to rethink safety post-training for this new reality. You will bring frontier post-training expertise, to develop training methods that make Gemini models deeply safe and aligned, especially in agentic settings. This role sits in Gemini Safety and partners closely with the Artificial General Intelligence (AGI) Safety team and the Gemini post-training organization. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about

### ML Research Engineer (Inference) - Cerebras Systems
- Location: Bengaluru, Karnataka, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-04-08
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7694185003
- Excerpt: ML Research Engineer (Inference) Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role As a Research Engineer on the Inference ML team at Cerebras Systems, you will adapt today's most advanced language and vision models to run efficiently on our flagship Cerebras architecture. You'll work alongside ML researchers and engineers to design, prototype, validate, and optimize models, gaining end-to-end exposure to cutting-edge inference research on the world's fastest AI accelerator. You will focus on pushing the frontier of speculative decoding , large-model pruning and compression , sparse attention , and sparsity-driven techniques to deliver low-latency,

### Growth Territory Sales Executive - Neural Magic
- Location: Bangkok - MSO - Gaysorn (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangkok---MSO---Gaysorn/Growth-Territory-Sales-Executive_R-052521-2
- Excerpt: Growth Territory Sales Executive Bangkok - MSO - Gaysorn posted: Posted 30+ Days Ago

### Design Engineer - Braintrust
- Location: San Francisco, United States, New York City, Seattle (unspecified)
- Salary: Not disclosed
- Posted: 2024-10-09
- Apply: https://jobs.ashbyhq.com/braintrust/57487086-68ae-4c81-8c62-c6157c20e4ac
- Excerpt: Design Engineer San Francisco, United States, New York City, Seattle About the company Braintrust is the AI observability platform. By connecting evals and observability in one workflow, Braintrust gives builders the visibility to understand how AI behaves in production and the tools to improve it. Teams at Notion, Stripe, Zapier, Vercel, and Ramp use Braintrust to compare models, test prompts, and catch regressions - turning production data into better AI with every release. About the role We're looking for a design engineer who loves working on complex problems and designing products that power-users love to use on a daily basis. Our primary users are engineers and PMs at innovative tech companies who spend multiple hours a day using our product to run experiments, analyze user behavior, and try out new ideas, seamlessly shifting between their code and our UI. In this role, you will: - Play a significant role in developing the core user experience of our product. You will work across UI, API, and SDK, ensuring that Braintrust is a seamless tool in every AI engineer's work day. - Work closely with our users to deeply understand their needs and contribute to the product roadmap. You are comfortable owning the entire product lifecycle from gathering requirements to ideating, designing, and implementing. - Partner closely with our product and engineering teams. You'll work to establish and implement a design system that enables rapid product iteration. Ideal candidate credentials - You have experience designing zero to one B2B products with complex

### Principal Community Architect - FSI - Neural Magic
- Location: Remote US NY (remote)
- Salary: Not disclosed
- Posted: 2026-05-18
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-NY/Principal-Community-Architect---FSI_R-053092
- Excerpt: Principal Community Architect - FSI Remote US NY posted: Posted 25 Days Ago

### AI Platform Engineer, Capabilities - BrainCo
- Location: San Francisco Bay Area, San Francisco, California, United States (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-05
- Apply: https://jobs.ashbyhq.com/brainco/b9b965a7-39e8-4164-bfad-209fe7f5889b
- Excerpt: AI Platform Engineer, Capabilities San Francisco Bay Area, San Francisco, California, United States About Brain Co. Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. We are building AI applications for the world's most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. Our progress so far: - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work Company momentum: - Raised a $55M Series A from leading investors - Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. We are looking for leaders who want to help bring new technology into institutions that impact millions of people. About the Role: As a core backend engineer at Brain Co., you will build the shared technical capabilities that help us scale our AI products quickly, safely, and reliably. You will take ambiguous product and technical challenges, turn them into clear system designs, and ship robust platforms that support real-world AI applications for the world's most

### Lead Full Stack Machine Learning Engineer - Cerebras Systems
- Location: Bengaluru, Karnataka, India (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-10
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7767933003
- Excerpt: Lead Full Stack Machine Learning Engineer Bengaluru, Karnataka, India Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About T he Role This teams' principal responsibility is to rapidly bring up state-of-the-art open-source models, frameworks and data engineering. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications. Responsibilities - Contribute to the end-to-end bring up of frameworks for RL, inference serving, ML models on Cerebras CSX systems. -

### Senior Robot Perception Engineer - FieldAI
- Location: Irvine, CA (unspecified)
- Salary: $70K-$300K
- Posted: 2026-05-17
- Apply: https://jobs.lever.co/field-ai/1754d6f2-86a7-41d7-9c98-5121578910a0
- Excerpt: Senior Robot Perception Engineer Irvine, CA Who are We? Field AIis transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job At FieldAI, we're building autonomy for robots that operate in the real world, in harsh environments, and under challenging conditions where traditional sensing breaks down. We're looking for a Senior Robotics Perception Engineer to own and advance perception capabilities for our federal autonomy programs. In this role, you will lead development of the perception stack for robots operating in unstructured terrains, taking responsibility for performance, robustness, and deployment on new platforms and sensor configurations. You'll work hands-on across software and hardware for integrating LiDAR, RADAR and multispectral, and sensing into production autonomy systems and delivering capabilities that directly support customers. What You Will Do 1. Build and Maintain Perception Systems Design, implement, and maintain perception systems for autonomous robots operating in real-world environments. Develop robust localization and mapping capabilities that perform reliably in unstructured, off-road, and field conditions. Continuously evaluate and improve perception performance through testing, iteration, and field validation. 2. Develop and Integrate Sensor-Based Perception Implement perception algorithms that fuse data from multiple sensors such as LiDAR, cameras, RADAR and

### Senior Technical Account Manager - RHEL/OpenShift - Neural Magic
- Location: 3 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Jakarta---MSO/Senior-Technical-Account-Manager---OpenShift--RHEL--Middleware_R-043520-1
- Excerpt: Senior Technical Account Manager - RHEL/OpenShift 3 Locations posted: Posted 30+ Days Ago

### Mechanical Engineer, Robotics (CONVOY) - Neuralink
- Location: South San Francisco, California, United States (unspecified)
- Salary: $90K-$226K
- Posted: 2025-05-23
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/6587719003?gh_jid=6587719003
- Excerpt: Mechanical Engineer, Robotics (CONVOY) South San Francisco, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Convoy team, a specialized group within the Robot Mechanical Engineering team, is working on developing a first-of-its-kind brain-controlled assistive robotic arm (ARA). Our focus is on developing high-dimensional neural control of hardware, specifically robotic arms and hands. We design and integrate robotics systems, work directly with our clinical trial participants, and collaborate cross-functionally with hardware, software, electrical, and BCI engineers. We believe this work may be one of the best and most advanced paths to giving physical independence back to users with unmet medical needs. Job Description and Responsibilities: As a Mechanical & Robotics Engineer at Neuralink, you will design and produce hardware solutions for our assistive robotic arm. Your responsibilities may also include working on our brain-computer interface devices, surgical robotics, automation, microfabrication, and more. You will have the opportunity to own projects from concept to production, leveraging your mechanical engineering background in the challenging field of brain interfaces and human-robot interaction. Your responsibilities will include: - Designing and integrating robot mechanical and electrical components and assemblies with a heavy emphasis on usability and safety - Collaborating with clinical trial participants, neuroscientists, biologists, and engineers to establish design criteria - Rapidly and effectively building systems to meet project

### Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs - Amazon
- Location: Toronto, Ontario, CAN (unspecified)
- Salary: CAD 171K-286K
- Posted: 2025-06-11
- Parental leave: 6 weeks (not source-backed)
- Non-birth-parent leave: 6 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Fertility benefits: yes (not source-backed)
- Adoption assistance: yes (not source-backed)
- Mental health support: yes (not source-backed)
- Childcare support: yes (not source-backed)
- Apply: https://www.amazon.jobs/en/jobs/3006845/software-development-manager-ml-performance-tooling-and-benchmarking-aws-neuron-annapurna-labs
- Excerpt: Software Development Manager - ML Performance Tooling and Benchmarking, AWS Neuron, Annapurna Labs Toronto, Ontario, CAN The Product: AWS Machine Learning accelerators are at the forefront of AWS innovation. The Inferentia chip delivers best-in-class ML inference performance at the lowest cost in the cloud. Trainium will deliver the best-in-class ML training performance with the most teraflops (TFLOPS) of compute power for ML in the cloud. This is all enabled by a cutting edge software stack, the AWS Neuron Software Development Kit (SDK), which includes an ML compiler, runtime and natively integrates into popular ML frameworks, such as PyTorch, TensorFlow and MxNet. The Neuron SDK optimizes performance of complex neural net models executed on AWS Inferentia and Trainium. AWS Neuron is used at scale with customers and partners like PyTorch, Epic Games, Snap, AirBnB, Autodesk, Amazon Alexa, Amazon Rekognition and more customers in various other segments. The Team: The Amazon Annapurna Labs team is responsible for building innovation in silicon and software for AWS customers. We are at the forefront of innovation by combining cloud scale with the world's most talented engineers. Our team covers multiple disciplines including silicon engineering, hardware design and verification, software and operations. With such breadth of talent, there's opportunity to learn all of the time. We operate in spaces that are very large, yet our teams remain small and agile. There is no blueprint. We're inventing. We're experimenting. When you couple that with the ability to work on so many different products and services, it's a

### SEAP Compliance Specialist (Software Asset Management) - Neural Magic
- Location: Tokyo (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-01
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Tokyo/SEA-Compliance-Specialist_R-051667-1
- Excerpt: SEAP Compliance Specialist (Software Asset Management) Tokyo posted: Posted 11 Days Ago

### AIML - Machine Learning Engineer, MIND - Apple
- Location: Seattle, United States of America (unspecified)
- Salary: $140K-$258K
- Posted: 2026-03-11
- 401(k) match: listed (not source-backed)
- Apply: https://jobs.apple.com/en-us/details/200651341/aiml-machine-learning-engineer-mind?team=MLAI
- Excerpt: AIML - Machine Learning Engineer, MIND Seattle, United States of America As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations. As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation Minimum Qualifications: Proficient in Python and deep learning frameworks like PyTorch. Experience with training ML models including deep learning based models. Able to define metrics, evaluate ML models, and perform error analysis. Familiar with recent advances in deep learning. Bachelor's, Master's, or PhD or equivalent

### Red Hat Enterprise Linux Sales Specialist - Neural Magic
- Location: Melbourne (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-12
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Melbourne/Red-Hat-Enterprise-Linux-Sales-Specialist_R-055420
- Excerpt: Red Hat Enterprise Linux Sales Specialist Melbourne posted: Posted 30+ Days Ago

### Staff Software Engineer, Gemini Evals, GenAI, DeepMind - DeepMind
- Location: Mountain View, CA, USA; +1 more (unspecified)
- Salary: $207K-$301K
- Posted: 2026-06-04
- Parental leave: 18 weeks (not source-backed)
- Non-birth-parent leave: 18 weeks (not source-backed)
- 401(k) match: listed (not source-backed)
- Apply: https://www.google.com/about/careers/applications/signin?jobId=CiUAL2FckSKWOfGfWh2vaEmScS46ZHoHy9Cf3sn_abIPcM_sJJmaEjsACxwdTDaD6XZIeseek3i8xMMXsiUGMR9UiTw_5HZg_IT_xANAx-AnwEsjIt4TbMlm6BPu2lImmvGJ1A%3D%3D_V2&loc=US&title=Staff+Software+Engineer
- Excerpt: Staff Software Engineer, Gemini Evals, GenAI, DeepMind Mountain View, CA, USA; +1 more At Google DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20%

### Senior Product Security Engineer - Cryptography - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-27
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Senior-Product-Security-Engineer_R-053025-1
- Excerpt: Senior Product Security Engineer - Cryptography 2 Locations posted: Posted 16 Days Ago

### Automation Architect - Ansible (Saudi nationals) - Neural Magic
- Location: Riyadh - MSO (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-18
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Riyadh---MSO/Automation-Architect---Ansible--Riyadh--KSA-_R-055120-1
- Excerpt: Automation Architect - Ansible (Saudi nationals) Riyadh - MSO posted: Posted 25 Days Ago

### Member of Technical Staff - Edge Inference Engineer - Liquid AI
- Location: San Francisco, United States, Boston, Remote (remote)
- Salary: Not disclosed
- Posted: 2026-01-25
- 401(k) match: 4% (not source-backed)
- Apply: https://jobs.ashbyhq.com/liquid-ai/1ed0e32c-11f4-4f93-bfab-bdfac37f0b1b
- Excerpt: Member of Technical Staff - Edge Inference Engineer San Francisco, United States, Boston, Remote About Liquid AI Spun out of MIT CSAIL, we build general-purpose AI systems that run efficiently across deployment targets, from data center accelerators to on-device hardware, ensuring low latency, minimal memory usage, privacy, and reliability. We partner with enterprises across consumer electronics, automotive, life sciences, and financial services. We are scaling rapidly and need exceptional people to help us get there. The Opportunity Our Edge Inference team compiles Liquid Foundation Models into optimized machine code that runs on resource-constrained devices: phones, laptops, Raspberry Pis, and watches. We are core contributors to llama.cpp and build the infrastructure that makes efficient on-device AI possible. You will work directly with the technical lead on problems that require deep understanding of both ML architectures and hardware constraints. This is high-ownership work where your code ships to production and directly impacts model performance on real devices. While San Francisco and Boston are preferred, we are open to other locations. What We're Looking For We need someone who: - Works autonomously: Given a target device and performance goal, you figure out how to get there without hand-holding. You diagnose bottlenecks, prototype solutions, and iterate until you hit the target. - Thinks at the hardware level: You understand cache hierarchies, memory access patterns, and instruction-level optimization. You can reason about why code is slow before reaching for a profiler. - Bridges ML and systems: You understand how neural networks work mathematically (matrix operations,

### Analog IC Layout Engineer - Neuralink
- Location: Fremont, California, United States (unspecified)
- Salary: $83K-$139K
- Posted: 2026-04-28
- 401(k) match: listed (not source-backed)
- Apply: https://boards.greenhouse.io/neuralink/jobs/7718856003?gh_jid=7718856003
- Excerpt: Analog IC Layout Engineer Fremont, California, United States About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world. Team Description: The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. Job Description and Responsibilities: We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As an Analog IC Layout Engineer, your responsibilities will include: - Crafting state-of-the-art layouts for mixed-signal and analog circuits - Amplifiers - Filters - Switched capacitor circuits - Oscillators - Data converters - Power management circuits - Reviewing layout floorplans and analyzing high-fidelity circuits with circuit engineers - Physical verification of custom IC mask layouts (LVS,

### Senior Software Engineer - Linux Kernel - Neural Magic
- Location: 2 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-05-25
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Bangalore---Carina/Senior-Software-Engineer---Linux-Kernel_R-055241-1
- Excerpt: Senior Software Engineer - Linux Kernel 2 Locations posted: Posted 18 Days Ago

### Sales Account Manager L4 - Neural Magic
- Location: Remote US CO (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-CO/Sales-Account-Manager-L4_R-056913-2
- Excerpt: Sales Account Manager L4 Remote US CO posted: Posted 2 Days Ago

### Machine Learning Engineer, AI Agent (contract) - Genies
- Location: Remote (remote)
- Salary: Not disclosed
- Posted: 2026-06-03
- Apply: https://jobs.ashbyhq.com/genies/2034d3fa-cd5f-4cfc-9bdc-b43d060efe68
- Excerpt: Machine Learning Engineer, AI Agent (contract) Remote Genies is an AI avatar technology company powering the visual and embodiment layer for AI. Through the Genies SDK, their proprietary avatar framework brings AI to life as fully realized AI personas that look, think, behave, and play like living identities. Genies powers AI companion, NPC, and agent use cases across enterprise, consumer, creator, entertainment, and gaming. Genies has raised $200M from Silver Lake, BOND, and Bob Iger. Genies is built on the belief that every website, app, game, brand, and human will have an AI persona. We are seeking a highly motivated and passionate Machine Learning Engineer to join our core AI team in San Francisco, CA. This is a high-impact role where you will take end-to-end ownership of the research and development behind our core AI avatar chat systems. You will drive the technical roadmap that defines the intelligence, personality, and interactivity of millions of AI avatars. By tackling fundamental technical challenges, you will bring fun, autonomous, and inspiring AI companions to life. Working alongside a dedicated team of engineers and researchers, you will bridge the gap between cutting-edge AI research and real-world, consumer-facing product impact. What You'll Do ▸ Research and implement state-of-the-art AI solutions. You'll apply foundation models, prompt engineering, RAG, knowledge graphs, and multi-agent architectures - alongside classical ML techniques - to power a multimodal AI avatar product. ▸ Architect and deliver scalable agentic systems. You'll design and implement AI features within our backend, building agent infrastructure that

### Full Stack LLM Engineer - Cerebras Systems
- Location: Toronto, Ontario, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2025-07-18
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/6654277003
- Excerpt: Full Stack LLM Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About the Role We are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack. Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI

### Ecosystem Marketing Manager/Responsable Marketing d'Écosystème - Neural Magic
- Location: 8 Locations (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Raleigh/Ecosystem-Marketing-Manager-Responsable-Marketing-d-cosystme_R-057880
- Excerpt: Ecosystem Marketing Manager/Responsable Marketing d'Écosystème 8 Locations posted: Posted Yesterday

### Junior Solution Architect, Red Hat Enterprise Linux - Neural Magic
- Location: Singapore (unspecified)
- Salary: Not disclosed
- Posted: 2026-06-11
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Singapore/Junior-Solution-Architect--Red-Hat-Enterprise-Linux_R-054545
- Excerpt: Junior Solution Architect, Red Hat Enterprise Linux Singapore posted: Posted Yesterday

### ML Performance Benchmarking Engineer - Cerebras Systems
- Location: Toronto, Ontario, Canada (unspecified)
- Salary: Not disclosed
- Posted: 2026-03-18
- 401(k) match: listed (not source-backed)
- Apply: https://job-boards.greenhouse.io/cerebrassystems/jobs/7669166003
- Excerpt: ML Performance Benchmarking Engineer Toronto, Ontario, Canada Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs. Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras , to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The Role The Inference Core Platform group is at the heart of Cerebras' mission to deliver the world's fastest AI inference. Our team builds the foundational software and hardware infrastructure that powers low-latency, high-speed, high-throughput deployment on the Cerebras Wafer-Scale Engine (WSE). We are responsible for the full stack-from model compilation and scheduling down to custom hardware kernels and driver development. The ML Performance Benchmarking team plays a pivotal role in shaping the performance and scalability of AI inference on one of the most

### Technical Account Manager, OpenShift - Neural Magic
- Location: Remote US VA (remote)
- Salary: Not disclosed
- Posted: 2026-06-10
- Apply: https://redhat.wd5.myworkdayjobs.com/jobs/job/Remote-US-VA/Technical-Account-Manager--OpenShift_R-057673-1
- Excerpt: Technical Account Manager, OpenShift Remote US VA posted: Posted 2 Days Ago

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Source-backed benefit claims include source links; other benefit values are labeled separately.