Neuralink jobs

Manufacturing Technician 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: Implant technology and our ability to manufacture high-quality implants in volume at low cost are at the core of creating the future of brain-computer interfaces. The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing of all mechanical systems in our implant and charger. Job Description & Responsibilities: As a Manufacturing Technician, you will be responsible for manufacturing our implants and accessories. The implanted device contains micron-scale electrode threads and an electronics assembly containing the battery, chips, and circuit boards. You will be engaged with many day-to-day responsibilities, including flip-chip bonding, part cleaning and preparation, electronics potting, mounting implants to the surgical mechanisms, as well as component and assembly-level testing of the electronics. Additional responsibilities include: - Perform mechanical/electrical assembly of implant and charger components, subassemblies, and integration of final assemblies - Build small implant subassemblies involving custom micron-scale electrode arrays and SoC with high precision - Operate equipment, such as flip-chip bonders and laser welders - Execute equipment maintenance and calibration - Package final products for delivery - Maintain parts inventory - Run functional testing of built hardware, including setup, instrumentation, and test execution - Ensure product quality and conformance to design requirements - Keep a clean, organized, and

Software Engineer Intern, BCI Applications 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 Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. In addition,the team is also working on restoring speech to mute individuals, this will also open the option for direct and natural silent communication with AI agents. The team works closely with the PRIME clinical study patients which allows them fast and direct feedback about new features from users. The work in the team is multidisciplinary and team members have diverse backgrounds in software engineers, design engineering, ML engineering and neuro-engineering. Job Description and Responsibilities: As a Software Engineer Intern in the BCI team, you will collaborate with our users, specifically clinical trial participants, to comprehend their requirements and engineer brain-computer interface software systems that deliver exceptional user experiences. You will take the lead in creating innovative applications, implementing new features, and resolving existing issues to enhance the overall functionality of the software. Additionally, you will be expected to: - Develop, test, and validate software systems - Work with cross-functional teams to design new BCI functionalities

Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

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

Machine Learning Engineer, Express AI Foundations San Jose posted: Posted 30+ Days Ago

Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

Machine Learning Engineer Belfast - 20 Adelaide Street posted: Posted 30+ Days Ago

Sr AI Machine Learning Engineer 4 Locations posted: Posted Today

Principal Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

Sr. Machine Learning Engineer 4 2 Locations posted: Posted 4 Days Ago

Machine Learning Engineer - II 2 Locations posted: Posted 30+ Days Ago

Machine Learning Engineer Remote-Germany posted: Posted 10 Days Ago

Machine Learning Engineer (AI Foundations) 2 Locations posted: Posted 7 Days Ago

Machine Learning Services Engineer - Firefly Bucharest posted: Posted 30+ Days Ago

Oliver Wyman - Machine Learning Engineer, Generative AI & Unstructured Data - Lisbon Lisbon - Antonio posted: Posted Yesterday

Senior Deep Learning Engineer 5 Locations posted: Posted 30+ Days Ago

Founding GPU Kernel Engineer San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're looking for a Founding GPU Kernel Engineer who lives right at the boundary between hardware and software. Someone who thinks in warps, occupancy, and memory hierarchies, and can squeeze every last FLOP out of a GPU. Your job is to go deeper than anyone else. You'll hand-tune kernels to figure out what's actually possible on the hardware, and then turn that knowledge into compiler optimization passes that help every model we compile. WHAT YOU'LL DO

Staff Machine Learning Engineer Pune, India posted: Posted Yesterday

Founding Product Engineer San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're searching for a Founding Product Engineer who'll own the entire user-facing surface of our training platform: everything from the daily interfaces our users interact with to the systems that make it all run. This role requires taking vague features and shipping them from start to finish. We care just as much about how the product feels to use as whether it technically works. If you're someone who gets genuinely annoyed by janky animations, sloppy spacing, or

Machine Learning Engineer, Asia 2 Locations posted: Posted Today

Founding Research Engineer, AI-Driven Compilation San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're building a next-generation AI compiler that uses machine learning to optimize machine learning. As a Founding Research Engineer focused on AI-driven compilation, you'll develop the agentic and reinforcement learning systems that guide our compiler's optimization decisions. This is a research-heavy role right at the intersection of compilers and ML. You'll design learned systems that can explore huge optimization spaces, discover new code transformations, and keep improving compilation quality over time. WHAT YOU'LL DO -

Machine Learning Engineer 2 Locations posted: Posted 30+ Days Ago

Founding GPU Compiler Engineer San Francisco | OnSite ABOUT SF TENSOR At The San Francisco Tensor Company, we believe the future of AI and high-performance computing depends on rethinking the entire software and infrastructure stack. Today's developers face bottlenecks across hardware, cloud, and code optimization that slow progress before ideas can reach their full potential. Our mission is to remove those barriers and make compute faster, cheaper, and universally portable. We are building a Kernel Optimizer that automatically transforms code into its most efficient form, combined with Tensor Cloud for adaptive, cross-cloud compute and Emma Lang, a new programming language for high-performance, hardware-aware computation. Together, these technologies reinvent the foundations of AI and HPC. SF Tensor is proudly backed by Susa Ventures and Y Combinator, as well as a group of angels including Max Mullen and Paul Graham as well as founders and executives of NeuraLink, Notion and AMD. We are partnering with researchers, engineers, and organizations who share our belief that the next breakthroughs in AI require breakthroughs in compute. ABOUT THE ROLE We're hiring a Founding GPU Compiler Engineer to build the core compilation infrastructure for our AI compiler. That means taking models from PyTorch, JAX, and TensorFlow and turning them into highly optimized binaries for large-scale AI pre-training. You'll own the entire compiler stack, from ingesting StableHLO all the way to backend code generation, and you'll work across targets like NVIDIA, AMD, Trainium, and TPU. You'll help shape our architecture, tooling, and overall engineering culture from the

Full Stack Software Engineer San Francisco, United States Overview Zelos is building the data platform for mission-critical systems, helping teams observe, control, and test their systems on a collaborative platform - from prototype to production. Founded by Tesla and Neuralink engineers, backed by YC and Human Capital. As a Full Stack Software Engineer, you'll be responsible for building up the cloud feature set. This is an opportunity to create scalable systems that bridge the gap between embedded devices, test systems, and collaborative engineering workflows. You'll enable teams to debug, develop, and manage physical systems at scale through innovative cloud solutions. What we're looking for - Strong proficiency in JavaScript/TypeScript, with frameworks like React - Proficiency with backend languages (Golang, Rust) for building scalable services - Proven track record working with cloud-native solutions on AWS, Azure, or GCP - Experience with modern build and deployment tooling (NixOS, Docker, Kubernetes) - Experience with time-series databases (InfluxDB, TimescaleDB) and visualization platforms (Grafana, Prometheus) What to expect You'll join a team of seasoned engineers building cutting-edge solutions for the next generation of connected systems. We value first-principles thinking, hands-on problem solving, and collaborative engineering. As a startup, you'll have significant influence over our technical direction and the opportunity to build systems that directly impact how teams develop and deploy mission-critical hardware. We understand that no one individual knows everything. We will all learn together and from each other. We strive to build a collaborative, enriching environment conducive to personal, technical, and career growth. Compensation