Strong Compute jobs
3,027 matches, filter-driven and evidence-linked.
Filters
0 active
Remote, hybrid, onsite
State
Shift type
Weekend work
Country
Cover letter
Assessment
Salary type
Equity type
Family-building benefits
Benefit evidence
-
Sr. System Development Engineer, AWS Mainstream Compute
Amazon - Cupertino, California, USAIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 133 days agoWhy we showed this
Description: "strong"Description: "compute"+1
Unspecified Engineering From the posting source - Senior From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk $174K-$235K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedSr. System Development Engineer, AWS Mainstream Compute Cupertino, California, USA We are seeking an experienced Senior Systems Development Engineer to lead the development of automation software for our mainstream compute and bare metal network infrastructure. You will work across multiple teams and organizations to build scalable, reliable systems that power our distributed storage platform. The AWS Hardware Engineering team creates server designs for Amazon's innovative web services. Our designs are industry-leading in frugality and operational excellence, and are critical to the success of the AWS business and millions of customers who use AWS today. Our engineers solve challenging technology problems, and build architecturally sound, high-quality components to enable AWS to realize critical business strategies. The ideal candidate for this role will be an innovative self-starter. You are knowledgeable of the full technical stack - vertically from core platform compute and bare metal network server hardware up to the software in userland, and everything in the middle. You have tremendous interest in cloud scale and curious how systems and software decisions impact the user. You insist on highest-standards and are able to develop tactical solutions/tools to diagnose and fix issues. You are an excellent systems debugger - finding interaction issues between components on server systems. You are a leader with strong organizational, planning, and communication skills. You are a builder! Key job responsibilities You will be a technical leader solving complex architectural problems which may not defined before hand. You will manage a mix of software and system engineers that are
- posted 75 days ago
Why we showed this
Description: "compute"Role: semantic matchOnsite - 5d office From the posting source Engineering From the posting source - Mid From the posting source Salary not disclosed EquityMachine Learning Engineer San Francisco | OnSite Overview Pulse is tackling one of the most persistent challenges in data infrastructure: extracting accurate, structured information from complex documents at scale. We have a breakthrough approach to document understanding that combines intelligent schema mapping with fine-tuned extraction models where legacy OCR and other parsing tools consistently fail. We are a small, fast-growing team of engineers in San Francisco powering Fortune 100 enterprises, YC startups, public investment firms, and growth-stage companies. We are backed by tier 1 investors and growing quickly. What makes our tech special https://www.runpulse.com/blog/pulse-approach-to-document-intelligence is our multi-stage architecture: - Layout understanding with specialized component detection models - Low-latency OCR models for targeted extraction - Advanced reading-order algorithms for complex structures - Proprietary table structure recognition and parsing - Fine-tuned vision-language models for charts, tables, and figures If you are passionate about the intersection of computer vision, NLP, and data infrastructure, your work at Pulse will directly impact customers and shape the future of document intelligence. What we are looking for - 5 days in-office at our San Francisco office - Eager to learn and adapt quickly - Prior startup or founding experience is a plus About the Role Create the specialized vision and language models that power Pulse. You will have autonomy to train and fine-tune models and to ship improvements to production. Responsibilities - Train and fine tune OCR, layout, table, and vision-language models - Build evaluation, data curation, and active learning pipelines - Optimize inference, batching, and quantization
-
Senior Manager - AI Compute Infrastructure Software
Celestica Inc. - City Taipei | State/Province Taiwan | Country TaiwanIndexed from Successfactors Benefit evidence checked Jun 7, 2026posted 73 days agoWhy we showed this
Description: "strong"Description: "compute"+1
Remote From the posting source Engineering From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Manager - AI Compute Infrastructure Software City Taipei | State/Province Taiwan | Country Taiwan Req ID: 127197 Remote Position: Region: Country Taiwan State/Province: State/Province Taiwan City Taipei Summary The Senior manager will be responsible for leading and managing the team developing the firmware for cloud infrastructure products, ensuring timely delivery and highest quality standards. The manager will be playing a key role in driving the software development processes (such as Agile, Scrum, etc.) and complying with the product life cycle development (phase/gate deliverables). The candidates with prior experience in firmware development and strong leadership skills will enjoy this role. Detailed Description Leads the software team working on the lowest level drivers to higher layers of specialized stacks for AI Compute products Takes the lead in project planning and scheduling. Coaches and mentors the team Collaborates with cross-functional teams, including hardware design, other software teams, program and product management Sets yearly plans and goals for the team, give direction on expected performance, provide regular feedback, provide recommendations for continuous improvement. Works with the team to elevate technical skills and consistently apply best practices. Keeps up to date with the industry knowledge Knowledge/Skills/Competencies Required qualifications: ● Prior experience in managing the SW development teams in one or more of the below areas ○ LINUX Kernel/drivers, PCIe, BMC, BIOS/BSP ○ Data Networking ○ CPU/GPU based compute ○ AI work
-
Senior AI Full‑Stack Engineer
Manulife Financial Corporation - Waterloo, OntarioIndexed from Workdayposted 84 days agoWhy we showed this
Role: semantic matchSenior AI Full‑Stack Engineer Waterloo, Ontario posted: Posted 10 Days Ago
-
Compute System Architect
NVIDIA Corporation - China, ShanghaiIndexed from Workday Benefit evidence checked Jun 13, 2026posted 105 days agoWhy we showed this
Title: "compute"Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedCompute System Architect China, Shanghai posted: Posted 30+ Days Ago
-
Human Computer Interaction Engineer
MORSE Corp - Cambridge, MAIndexed from Greenhouse Comp disclosed in postingposted 166 days agoWhy we showed this
Description: "compute"Description: "strong"+1
Unspecified Engineering From the posting source - Mid From the posting source $90K-$210K From the posting source Equity Unknown provenance 401(k) reported US citizenship requiredHuman Computer Interaction Engineer Cambridge, MA MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding cutting-edge technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem. MORSE is seeking a Human Computer Interaction Engineer to conduct user research, design, prototype, and evaluate systems under development. As a Human Computer Interaction Engineer, you will assist in design efforts for novel, cutting edge mobile, web, and software applications in artificial intelligence, machine learning, test & evaluation, and aerospace. You may also do front end software development, Many of the systems we develop are the first of their kind and are highly specialized for the military personnel who use them. We strongly believe that user-centered design is the only methodology to properly develop these systems. This role will require superior communication and presentation skills. This person will be expected to conduct user research exercises to gain domain knowledge/insights and evaluate prototypes. This person must also be able to convey ideas/concepts to the rest of the development team and to stakeholders. This role requires a design background in some shape or form: either formal training or experience designing applications. Also, the ability to convey ideas visually through sketches, prototypes, or adobe tools is a necessity. Finally, this position requires candidates to have software development skills. Being able to implement designs (in
-
Senior AI Compiler Engineer - Applied Research
NVIDIA Corporation - 6 LocationsIndexed from Workday Benefit evidence checked Jun 13, 2026posted 75 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior AI Compiler Engineer - Applied Research 6 Locations posted: Posted Yesterday
- posted 293 days ago
Why we showed this
Description: "compute"Description: "strong"Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting Surrogacy assistance Inferred from posting Fertility benefits EquitySoftware Engineer - Edge Washington, D.C. A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline. As we adapt to solve their most pressing issues in latency, performance, and compute cost, we are building a team of software engineers relentlessly focused on low-level optimization and novel compute architectures. This is a team of developers creating software for the far-edge, including streaming ETL pipelines, inference platforms, and various timing critical applications. This role requires an experienced software engineer who is well versed in low-level development in compiled, native languages such as Rust and C/C++. A successful candidate can optimize software for constrained embedded devices or across large-scale distributed systems. You should have strong knowledge of computer architecture and OS internals. The Role Palantir is at the forefront of some of the most critical and challenging problems in the world. We develop alongside our customers everyday. Our customers span from the cloud to the frontline. As we adapt to solve their most pressing issues in latency, performance, and compute cost, we are building a team of software engineers relentlessly focused on low-level optimization and novel
-
Lead RTL Design Engineer
Cerebras Systems - Sunnyvale, CAIndexed from Greenhouse Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 284 days agoWhy we showed this
Description: "strong"Description: "compute"+1
Unspecified Engineering From the posting source - Senior From the posting source $175K-$275K From the posting source Equity Inferred from posting 401(k) reportedLead RTL Design Engineer 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 As a lead front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE). This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. The role also requires close collaboration and management of external ASIC vendor. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept
-
Associate Solutions Architect
Amazon - Sydney, New South Wales, AUSIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026posted 97 days agoWhy we showed this
Description: "compute"Description: "strong"Unspecified Engineering From the posting source - Entry From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk Salary not disclosed Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedAssociate Solutions Architect Sydney, New South Wales, AUS The Solutions Architects (SA) organization is a diverse team that focuses on helping customers build infrastructures and applications at scale using AWS solutions. We are passionate about technology and relish the chances to dive deep and wide within the AWS platform in our quest to delight customers. Are you a motivated technologist with a unique blend of curiosity, technical chops, and strong interpersonal skills? Do you want to help us build new things and evangelize use of AWS with customers? Do you enjoy being a guiding force, enabling customers to use best practices and design their applications and platforms for the cloud? As a Solutions Architect Graduate, you will receive AWS technical training, immerse yourself in cloud computing concepts, have the opportunity to develop business acumen. If this sounds exciting to you - come build the future with us! Key job responsibilities - Work with customers to understand their business requirements and technical challenges - Design cloud architecture solutions using AWS services and best practices - Support pre-sales activities by providing technical expertise during customer meetings - Deliver technical presentations and workshops to various audiences A day in the life 0 Basic Qualifications: - Degree in Computer Science, Computer Engineering, or other related science/technical fields. - Graduated within the past 24 months. - Experience with one of the programming languages - Java, Python, Ruby, Node.js, C#, C++, or other modern computing languages. - Experience with two or more of the following: networking
-
Software Dev Manager - AWS IAM, Control Plane - Propagation
Amazon - Vancouver, British Columbia, CANIndexed from Amazon Custom Benefit evidence checked Jun 7, 2026 Comp disclosed in postingposted 183 days agoWhy we showed this
Description: "compute"Description: "strong"Unspecified Engineering From the posting source - Mid From the posting source Resolvable source Verified parental leave: 6 wksource Inferred from posting Verified non-birth-parent leave: 6 wk CAD 171K-286K From the posting source Inferred from posting Adoption assistance Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support Equity Inferred from posting 401(k) reportedSoftware Dev Manager - AWS IAM, Control Plane - Propagation Vancouver, British Columbia, CAN We are looking for a strong Engineering Manager to lead the team responsible for building secure, scalable, and performant propagation components for the next generation IAM Control Plane architecture. AWS Identity and Access Management (IAM) enables customers to secure their workloads in the cloud by providing authentication and authorization mechanisms to all of AWS. We enable our customers to manage their credentials and access policies in the AWS cloud. We operate some of the largest distributed systems in the world, processing billions of transactions per second world-wide. The IAM Control Plane teams are working on the next generation architecture for IAM aiming to improve the scalability and availability of the system. This team will be responsible for designing, building, and delivering highly available, scalable, secure, resilient, and distributed propagation services that bridge the IAM control plane and the data plane. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new 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, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities
- posted 76 days ago
Why we showed this
Role: semantic matchUnspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting Unlimited PTOFull Stack Engineer USA (Phoenix) What Cognite is: Relentless to achieve Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership Are you a visionary Full Stack Engineer eager to architect, build, and lead the development of intuitive user experiences and robust backend systems that transform industrial operations? At Cognite, we're not just building software; we're pioneering the future of industrial data with our award-winning Cognite Data Fusion® platform, recognized as the 2022 Technology Innovation Leader for Global Digital Industrial Platforms. Our Product team is at the core of developing Cognite Data Fusion® into a robust and scalable platform for solving critical industrial data problems. This work is central to transforming asset-intensive industries - making them safer, more sustainable, and more profitable. Cognite Data Fusion® makes operational data available at scale, adding immense value through advanced data
-
Senior Machine Learning Engineer - Physical AI and Synthetic Data Generation
NVIDIA Corporation - US, CA, Santa ClaraIndexed from Workday Benefit evidence checked Jun 13, 2026posted 105 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Salary not disclosed Equity Inferred from posting 401(k) reportedSenior Machine Learning Engineer - Physical AI and Synthetic Data Generation US, CA, Santa Clara posted: Posted 30+ Days Ago
- posted 188 days ago
Why we showed this
Description: "compute"Description: "strong"Unspecified Engineering From the posting source - Mid From the posting source Inferred from posting 20 wk non-birth leave Salary not disclosed Inferred from posting Childcare support Inferred from posting Fertility benefits Inferred from posting Mental health support EquitySoftware Engineer 2 Dublin We are seeking passionate and driven individuals with a strong foundation in computer science to join our team. In this role, you'll have the opportunity to design, build, and test software that enhances MongoDB products while solving complex technical challenges. You'll collaborate with cross-functional teams, balance innovation with delivery, and contribute to features that empower our global community of users. Join us in a supportive and inclusive environment that values your unique perspective and fuels your growth. We are looking to speak to candidates who are based in Dublin for our hybrid working model. What we are looking for in you - In the process of receiving or having received a Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field - Recent graduates (including Summer 2026) or professionals with up to 18 months of experience. - Have a foundation in computer science theory, with competencies in data structures, algorithms, and software design - Proficient in one of our commonly used languages which include C++, Go, Ruby, Python, Java, Javascript, Node.js, or comparable high level programming languages - Experience writing and testing software whether as part of an internship, in a personal project, in a coding competition, or for research What you'll find at MongoDB - Writing and testing software in commonly used high level programming languages, such as C++, Go, Ruby, Python, Java, Javascript, Node.js - Identifying, designing, testing, and supporting new features in MongoDB products, particularly utilizing competencies in data structures,
-
AI Senior Engineer
Bain & Company - Location not specifiedIndexed from Avature Benefit evidence checked Jun 7, 2026posted 75 days agoWhy we showed this
Role: semantic matchUnspecified Data From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedAI Senior Engineer
-
Autonomy Engineer Intern - Computer Vision/Deep Learning Fall 2026
Skydio - San Mateo, California, United States, San Mateo, California, United StatesIndexed from Ashby Comp disclosed in postingposted 252 days agoWhy we showed this
Description: "strong"Description: "compute"+1
Unspecified Engineering From the posting source - Entry From the posting source $47-$53/hr From the posting sourceAutonomy Engineer Intern - Computer Vision/Deep Learning Fall 2026 San Mateo, California, United States, San Mateo, California, United States Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision and deep learning team with researchers who have pushed the state of the art in academia and industry. We are looking for interns for our Fall program. As a Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact: - Enable rapid research and development
-
Commercial Customer Success Manager
Sigma Computing - San Francisco, CAIndexed from Greenhouse Comp disclosed in postingposted 75 days agoWhy we showed this
Description: "strong"Description: "compute"Onsite - 5d office From the posting source Customer Success From the posting source - Senior From the posting source $100K-$125K From the posting source EquityCommercial Customer Success Manager San Francisco, CA We're looking for a Customer Success Manager with a deep understanding of analytics and business intelligence to join our team. This role is critical for ensuring our customers maximize the value they derive from our platform, with a direct focus on improving Net Dollar Retention (NDR) through strategic account management and growth initiatives. This is an in-office role based out of the San Francisco office. Key Responsibilities: - Strategic Account Management: Build and maintain strong relationships with decision-makers and influencers within our customer base, with a focus on high-value accounts. - Analytics Expertise: Leverage your deep understanding of analytics and business intelligence to guide customers in optimizing their use of Sigma Computing's platform. Help them understand their data and gain actionable insights. - NDR Growth: Develop and implement strategies aimed at maximizing NDR. This includes identifying opportunities for upselling and cross-selling, as well as reducing churn through proactive engagement and solution-oriented support. - Customer Advocacy: Serve as the bridge between our customers and our product team. Advocate for features, enhancements, and integrations that will drive customer satisfaction and retention. - Success Plans: Collaborate with customers to develop and execute success plans that align Sigma Computing's capabilities with the customer's business goals and objectives. - Educational Initiatives: Design and deliver training sessions, webinars, and workshops to increase product knowledge, adoption, and engagement among our user base. Required Skills / Experience: - Bachelor's or Master's degree in Business, Analytics, Computer Science, or a related field.
- posted 283 days ago
Why we showed this
Role: semantic matchUnspecified Product From the posting source - Staff Plus From the posting source Salary not disclosed EquityAI Growth Architect San Francisco, California, United States Hilbert is a scalable, data science-first growth engine that gives B2C teams predictive clarity into user behavior, revenue drivers, and the actions that drive sustainable growth. Fully agentic by design, Hilbert shrinks months-long decision cycles to minutes. From Fortune 10 enterprises to beloved brands like FreshDirect, Blank Street, and Levain Bakery, operators run their growth on Hilbert. We're also co-building alongside leading AI companies. A small, select group of growth operators sit at the core of our company. These minds shape how Hilbert's intelligence layer evolves, how customers grow, and how the company goes to market. THE ROLE Your responsibilities look like those of a founding operator embedded simultaneously inside a high-stakes product and commercial organization. You run Hilbert on real problems: you are expected to be its most demanding internal user, finding where the product's reasoning breaks down, challenging its outputs, and feeding that back into the intelligence layer as structured improvement input. Core Responsibilities - Run Hilbert on live growth problems, identify where its reasoning can do better, and translate those findings into structured input for the intelligence layer in coordination with product and tech teams - Translate hard-won B2C growth experience into the patterns, failure modes, and counter-intuitive signals that shape how the product detects, reasons, and acts - Work with Account Executives to turn Hilbert's output into concrete growth strategies for key accounts, from cohort analysis to LTV intervention to channel reallocation - Follow customer's growth with Hilbert,
-
PhD Autonomy Engineer Intern - Deep Learning or Computer Vision
Skydio - San Mateo, California, United States, San Mateo, California, United StatesIndexed from Ashby Comp disclosed in postingposted 169 days agoWhy we showed this
Description: "compute"Description: "strong"+1
Unspecified Engineering From the posting source - Entry From the posting source Salary not disclosed From the posting sourcePhD Autonomy Engineer Intern - Deep Learning or Computer Vision San Mateo, California, United States, San Mateo, California, United States Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users, from utility inspectors to first responders , soldiers in battlefield scenarios , and beyond . - About the role: The core of our system is the computer vision algorithms that allow drones to understand the world around them. You will architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision team with researchers who have pushed the state of the art in academia and industry. We look for interns year around (Fall, Spring, Summer) in our program. As a PhD Research Intern, you will be paired up with one or more members of our core software development team, assuming direct ownership of a project that meaningfully advances the capabilities of our team and products. If you have a strong foundation in math, theory, and software development with relevant research and you are interested in directly contributing to the development of the next generation of autonomy algorithms and pushing them into real products, we would love to hear from you. How you'll make an impact:
- posted 75 days ago
Why we showed this
Role: semantic matchOnsite - 5d office From the posting source Operations From the posting source - Senior From the posting source Salary not disclosedStrategic Project Lead San Francisco | OnSite ABOUT ABUNDANT As the need for scaling data becomes the core bottleneck to progress, moving from general knowledge to domain expertise, and from chatbots to agents. Abundant is solving this by designing and operating simulation infrastructure where next-generation models learn to reason and solve complex problems. Our team is composed of high-impact former founders, ML engineers, roboticists, and data leads from companies like Waymo and Google, with experience deploying models at 1B user scale. We partner with a majority of the top AI labs, frontier startups, and F500 enterprises to enable AGI, ASI, and physical intelligence. THE ROLE Own end-to-end execution of Abundant's most critical projects and owning the relationships internally/externally. Translate ambiguous research requirements into structured workflows, manage distributed expert teams, and deliver flawless results under tight timelines. This is a founding-level operations role with outsized ownership. WHAT YOU'LL DO - Own project delivery end-to-end - scoping, design, contributor ops, QA, and handoff to AI lab partners - Build and manage relationships with researchers at frontier labs - Recruit, scale, and run distributed teams of domain experts - sourcing, performance, quality, engagement - Partner closely with Talent Acquisition (TA) and the scale team to develop and execute sourcing and hiring strategies for distributed expert teams. - Drive project-specific research scoping - Collaborate with AI lab partners and internal researchers to define project boundaries and strategic direction. - Operationalize ambiguous research requirements - Translate frontier lab needs into structured workflows and scalable execution
-
Senior Technical Program Manager – AI Infrastructure, Site Operations
Cerebras Systems - Sunnyvale, CAIndexed from Greenhouse Benefit evidence checked Jun 7, 2026posted 251 days agoWhy we showed this
Description: "strong"Description: "compute"+1
Unspecified Operations From the posting source - Senior From the posting source Salary not disclosed Inferred from posting 401(k) reportedSenior Technical Program Manager – AI Infrastructure, Site Operations 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 This Sr. TPM role owns site and data center operations programs supporting Cerebras' AI Cloud and customer deployments. The position sits at Sunnyvale HQ and works closely with Hardware Engineering, Inference Engineering, and Operations leadership to ensure Cerebras systems are reliably deployed, operated, and scaled. This is a highly technical, execution-focused TPM role with strong emphasis on operational readiness, cross-functional coordination, and metrics/KPIs. Responsibilities - Own end-to-end technical programs for data center and site operations - Act as
-
Research Engineer - Brain Computer Interface Models
Zyphra - San Francisco, California, United StatesIndexed from Ashbyposted 161 days agoWhy we showed this
Description: "compute"Description: "strong"+1
Unspecified Engineering From the posting source - Mid From the posting source Salary not disclosed Inferred from posting Unlimited PTOResearch Engineer - Brain Computer Interface Models San Francisco, California, United States Zyphra is an artificial intelligence company based in San Francisco, California. The Role: As a Research Engineer - Brain Computer Interface Models , you will be a core contributor to Zyphra's BCI work, building the next generation of open-source EEG and brain-computer interface models. You will be involved across the full model lifecycle, from data collection and preprocessing to designing novel architectures and training methodologies. You'll Work Across: - Large-scale EEG model training runs and evaluation - Architecture and training methodology ablations and innovations - Dataset collection and preprocessing for EEG and other BCI modalities - Performance optimization of the training stack - Integration of models into real-world BCI applications What We're Looking For / Requirements: - Organized, methodical researcher who can take ownership of a project component, communicate their process clearly, and deliver a working module - Excellent communication and collaboration skills, with clean and concise coding practices - Strong implementation and prototyping skills, with comfort working across both research and engineering at scale - Ability to learn new domains quickly, orient oneself in the academic literature, and implement new ideas, creatively borrowing concepts from other modalities and applying them to EEG domain - Interest in neural data such as EEG, MEG, fMRI as well as building foundation models in a much less explored space - Proficiency with PyTorch and Python Qualifications / Additional Skills: - Experience with VAEs, GANs, diffusion models, and contrastive learning - Familiarity
-
Senior Software Engineer, Full-Stack – Scale GP
Scale AI - San Francisco, CA; New York, NYIndexed from Greenhouse Comp disclosed in postingposted 261 days agoWhy we showed this
Description: "strong"Role: semantic matchUnspecified Engineering From the posting source - Senior From the posting source $216K-$270K From the posting source EquitySenior Software Engineer, Full-Stack – Scale GP San Francisco, CA; New York, NY Scale GP (Scale Generative AI Platform) is an enterprise-grade Generative AI platform providing APIs for knowledge retrieval, inference, evaluation, and more. We are seeking a strong Senior Full-Stack Engineer to help us build, scale, and refine our rapidly growing product. The ideal candidate is deeply grounded in software engineering best practices and experienced in developing and scaling modern web applications end-to-end. You will work across the stack-from React/TypeScript frontends to Python-based backends-while integrating with LLMs and machine learning systems. You will solve complex challenges in scalability, reliability, and product experience while owning significant product areas in a fast-paced environment. What You'll Do - Own major full-stack product areas , driving features from design through production deployment. - Build modern frontend experiences using React and TypeScript, ensuring performance, usability, and responsiveness. - Develop reliable backend services in Python, working with distributed systems, data pipelines, and ML/LLM components. - Integrate with LLMs, vector databases, and AI infrastructure to power intelligent product experiences. - Deliver experiments and new features quickly , maintaining high quality and tight feedback loops with customers. - Collaborate across product, ML, and infrastructure teams to shape the direction of Scale GP. - Adapt quickly -learning new technologies, frameworks, and tools as needed across the stack. Ideal Experience - 5+ years of full-time engineering experience , post-graduation. - Strong experience developing full-stack applications using React, TypeScript, and Python . - Experience scaling or shipping products at high-growth
- posted 80 days ago
Why we showed this
Description: "compute"Description: "strong"Datacentre Operations Engineering Paris Saclay About Us We're a fast-growing GPU-as-a-Service provider, delivering scalable, high-performance compute infrastructure purpose-built for AI and HPC workloads. Operating across global data centres, we run mission-critical environments where uptime, throughput, and ultra-low latency are non-negotiable. Role Overview We are seeking a deeply technical, hardware-passionate Datacentre Operations Engineer to execute on-the-ground operations for our Paris-Saclay deployment-Radiant's premier, cuttingedge AI infrastructure site in Europe. This role focuses on delivering precise, repeatable physical practices-including advanced smart-hands support, complex cabling, and hands-on operation of advanced liquid cooling and ultra-high-density compute systems-to guarantee world-class SLAs on next-generation hardware architecture. Working closely with Infrastructure (HPC) SRE, Network Engineering, and Datacentre Strategy teams, you will uphold uncompromising standards on the data centre floor. You will live and breathe the hardware, maintaining elite facility reliability through hands-on deployment, proactive maintenance, rapid incident response, and structured break/fix execution across advanced liquid cooling systems, busbar-based high-density power distribution, and next-generation GPU compute platforms. The role centres on technical execution and optimised output. You will turn global engineering standards into flawless, repeatable daily routines, continually honing on-the-ground practices to keep our most advanced hardware running at peak performance. Experience with NVIDIA NVL72- class or busbar/high-density compute is strongly valued; candidates who can demonstrate a strong aptitude and clear willingness to train to operational proficiency on these platforms are equally welcome. As Radiant expands its EMEA footprint, your relentless drive for hardware perfection and proven field expertise with high-density environments will serve as the operational blueprint to
Take this list with you
Download the 3,027 matching jobs in any format - read offline, archive, or hand to an AI assistant with your resume to find the best fits.
Or email it to me instead
The AI-ready prompt is a pre-written question you can paste into Claude, ChatGPT, Gemini, or Perplexity along with your resume. We never see your resume; this happens in your AI client of choice.
AI agent reading directly? Same data lives at /api/jobs.json?page=15&q=Strong+Compute.
See /llms.txt and /api/openapi.json for the full schema.