Team Description:

For Neuralink's Information Technology team, the corporate environment is production. It is where our groundbreaking research and development takes place and hosts our assembly lines, neural recording training and processing, and many other functions. The team builds critical systems and processes that safely accelerate our progress along the company's critical path.

Job Description and Responsibilities:

Neuralink is looking for a hands-on IT Systems Administrator to own the day-to-day technology experience for every employee at the company. You will be responsible for endpoint management, identity and access management, security policy enforcement, and front-line technical support across a diverse user base — from highly technical engineers to non-technical scientists and clinicians. The ideal candidate is empathetic, resourceful, and thrives in a fast-paced environment where reliable systems and excellent customer service are critical to the company’s mission.

• Provide expert end-user technical support across macOS, Windows, and Linux environments as part of a tier-1 support rotation.
• Deploy, configure, and manage endpoint devices using MDM platforms (e.g., Jamf, Intune, Kandji), including application deployment, configuration profiles, and policy enforcement.
• Administer identity provider (IDP) and IAM systems including Microsoft Entra, Google Workspace, Okta, or similar; manage user lifecycle from onboarding through off-boarding.
• Implement and enforce security policies across endpoints, SaaS applications, and corporate systems; conduct regular audits and remediation.
• Administer and maintain SaaS applications such as Google Workspace, Slack, Zoom, and other business-critical tools.
• Perform L1 and L2 network troubleshooting including connectivity issues, VLAN assignments, and Wi-Fi connectivity diagnostics.
• Manage endpoint hardware inventory including procurement, asset tagging, deployment, and lifecycle tracking.
• Develop automation and tooling using scripting (Bash, Python, PowerShell) to streamline repetitive IT operations tasks.
• Ensure compliance with HIPAA, PII handling requirements, and internal security policies through robust endpoint and access controls.
• Create and maintain documentation for systems, processes, and procedures to support knowledge sharing and business continuity.

Required Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, Information Systems, or a related technical field or equivalent practical experience. 
• 3–5 years of experience providing expert-level end-user support across macOS, Windows, and Linux environments, ideally as part of a structured tier-1 support rotation
• Hands-on experience administering at least one enterprise MDM platform (Jamf, Intune, or Kandji), including application deployment, configuration profiles, and policy enforcement at scale
• Demonstrated experience administering an enterprise IDP/IAM platform (Microsoft Entra, Okta, or Google Workspace) including full user lifecycle management, SSO configuration, MFA enforcement, and access reviews
• Experience implementing and enforcing security policies across endpoints and SaaS applications, with working knowledge of HIPAA requirements, PII handling, and the ability to conduct regular audits and remediations

Preferred Skills & Qualifications: 

• Working knowledge of identity and access management protocols including SAML, SCIM, OAuth, and 802.1x.
• Familiarity with endpoint security tools, zero-trust architectures, and certificate-based authentication (TLS, X.509, U2F, WebAuthn).
• Understanding of networking fundamentals: TCP/IP, DNS, DHCP, ARP, VLANs, and basic wireless troubleshooting.
• Experience with IaC and automation tools such as Terraform, Ansible, or Cloud-Init.
• Experience maintaining and troubleshooting legacy AV equipment such as conference room displays, projectors, video conferencing systems, and audio hardware.
• Comfort supporting a diverse user base including non-technical colleagues; strong empathy and communication skills.
• Experience in regulated environments (HIPAA, SOC 2, or similar).

COMPLIANCE & DATA PRIVACY

Neuralink handles sensitive patient health information and personally identifiable information (PII). All employees are expected to understand and comply with HIPAA regulations and Neuralink’s data privacy policies. This role may involve access to protected health information (PHI) and requires a demonstrated commitment to confidentiality, data security, and responsible handling of sensitive information.

We are seeking a software-engineering intern who learns rapidly, has strong programming fundamentals, and can pick up projects spanning surgical robotics, implant communication, manufacturing automation, cloud infrastructure, and BCI software.

If you have clear evidence of exceptional ability, strive in a hardcore environment, and crave ownership over technology that is changing lives, join us.

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 control

Note: The team is hiring electrical engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications:

• Bachelor’s degree in Electrical Engineering or equivalent experience
• Strong electrical engineering and physics fundamentals, with demonstrated ability to apply them under real-world constraints (noise, power, size, non-ideal interfaces)
• Proven ability to independently design, bring up, debug, and verify complex PCBAs operating under tight power and size constraints, including mixed-signal circuits, sensitive sensor interfaces, and embedded compute
• Experience debugging systems where issues span multiple domains (analog, digital, RF, power) and root causes are not immediately obvious
• Deep familiarity with lab instrumentation (oscilloscopes, power supplies, spectrum analyzers, VNAs) and the ability to extract meaningful insight from imperfect measurements

Preferred Qualifications:

• Experience shipping highly integrated, size- and power-constrained devices (e.g., wearables, implantables, compact wireless systems)
• Experience with wireless systems and RF design tradeoffs (BLE, Wi-Fi, antenna design, coexistence)
• Experience supporting hardware through manufacturing at scale, including yield, test, and failure analysis
• Experience in safety-critical or regulated environments, where reliability and risk must be explicitly managed
• Familiarity with mechanical integration constraints (CAD tools, packaging, stack-ups)
• Experience with electromagnetic simulation and antenna validation (FEM/FDTD or equivalent)

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, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. 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 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.

• Develop, test, and validate software systems
• Work with cross-functional teams to design new BCI functionalities and novel computer user interfaces
• Work with study participants to iterate on and further refine the software
• Mentor others in achieving engineering excellence and be a catalyst on the team through code review, design review, and technical presentations
• Write algorithms to decode brain activity
• Design user experiences centered around brain control

Note: The team is hiring software engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications: 

• Strong experience with full-stack development; experience with native (desktop/ Android/ iOS) preferred 
• Strong experience in operating system knowledge in low latency concurrency programming, memory management and networking
• Fluent in programming languages such as Swift, Objective-C, Kotlin or Java
• Experience in architecting elegant, maintainable, performant and reliable user facing software applications 
• Evidence in delivering high-impact projects to users or businesses with clear metrics and fast iteration cycle
• Evidence of exceptional ability in engineering
• Strong understanding of engineering first principles
• You are resourceful, flexible, and adaptable; no task is too big or too small
• Excellent communication and collaboration skills
• Bachelor’s degree in Computer Science or a related field or equivalent experience

Fast forward to 37:43 to learn more about software and UI:

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 field, evidenced by outstanding projects, innovations, or advanced problem-solving
• Proven experience in software development, preferably with exposure to embedded systems

Preferred Qualifications:

Embedded Software Development:

• 2+ years of experience with embedded systems
• Proficient with common communication protocols (SPI, UART, I2C, etc.)
• Comfortable/working knowledge of more advanced protocols such as PCIe, MIPI CSI/DSI, USB, and 802.3
• Proficient in at least one embedded language such as C, C++, or Rust
• Proficient with embedded toolchains and workflow
• Experience building and bringing-up MCUs or FPGAs
• Experience with embedded stacks for ARM cores
• Experience developing on embedded Linux platforms
• Experience with embedded Linux kernel configuration and device tree setup
• Experience with kernel driver development
• Experience with ARM bootloaders
• Experience coding drivers for actuators and sensors
• Experience with high speed data acquisition and processing

Electrical Engineering:

• Foundational understanding of MCU architectures and peripheral integration
• Solid knowledge in electrical engineering and DSP
• Ability to interpret electrical schematics and datasheets, along with proficiency in using lab equipment

Team Description:

The Facilities team is the operational backbone that ensures our buildings and infrastructure run safely, efficiently, and reliably—so our innovators can stay focused on creating the future. This role offers a dynamic playground for those passionate about mechanical and electrical systems and are eager to expand their hands-on knowledge across a wide range of building operations. From HVAC and plumbing to electrical systems and advanced BMS controls, we keep the environment optimized and responsive. Our team includes skilled technicians, electricians, plumbers, HVAC specialists, security personnel, and administrative support—each playing a critical part in maintaining seamless operations. Success in this team requires strong collaboration, the ability to prioritize effectively, and adaptability in a fast-paced, evolving setting. If you’re driven to solve real-world problems and keep the systems behind the scenes running at their best, you’ll feel right at home here. 

Job Description and Responsibilities:

• Installs new electrical wiring or equipment according to current NEC codes
• Installs and troubleshoots commercial lighting, receptacles, panels, circuits, and controls
• Performs new installation of power distribution, transformers, lighting, temporary construction power, and electrical equipment up to 240VAC
• Performs installation, maintenance, troubleshooting, and repair of industrial electrical systems, devices, equipment and components including generators, automatic transfer switches, and surge protection devices
• Maintains and assists in repairing equipment and systems
• Troubleshoots concerns or issues and performs root-cause analysis to determine cause of issues or concerns
• Interprets and understands electrical, architectural, and MEP prints and schematics 
• Performs other related duties, as assigned, to ensure an efficient and effective work environment

Required Qualifications:

• Current journeyman-level electrician experience 
• 3+ years of experience as a licensed electrician 
• Proficiency in handling low to high voltage up to 240 VAC
• Knowledge in sizing breakers, transformers, and wire
• Experience in designing and installing electrical systems
• Skill in identifying and correcting electrical hazards
• Ability to interpret electrical prints and schematics
• Comprehensive knowledge of electrical and facility safety (OSHA)
• Experience testing equipment and circuit wiring with multimeters and/or oscilloscopes
• Flexibility to undertake tasks outside core competencies as required

Preferred Qualifications:

• Proficiency in handling low to high voltage up to 480 VAC
• Capability to review and redline drawings for work performed
• Possession of a Journeyman Electrician License
• Knowledge of workplace electrical safety standards (NFPA 70E)
• Experience with documenting maintenance activities and managing service records within a CMMS platform such as Qualer, Upkeep, etc

Physical Requirements:

• Ability to lift 50 lbs

Computer Skills:  

• Basic computer skills and proficiency in Google Docs, Google Drive, and Gmail

Work Environment:  

• Laboratory, vivarium, office, cleanroom, and manufacturing space

Expected Compensation:

At Neuralink, your base pay is one part of your total compensation package. The anticipated hourly rate for this position is expected to be within the below range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training.

California Hourly Range:
$27 — $45/Hr USD

Team Description:

Join the Materials Engineering Team at Neuralink and be part of an elite and diverse team of materials engineers, chemists, and device engineers working on high-performance, biocompatible materials for the next-generation of brain-computer interfaces. We are looking for a materials/mechanical engineer capable of both building realistic mechanical models of material behaviors and performing  materials  testing  with in-house instrumentation. You will be an integral member of a small, fast-moving team with the opportunity to work closely with mechanical engineers and microfabrication experts on system integration and packaging solutions.

Job Description and Responsibilities:

The Materials Intern will be contributing to the development of high-density, reliable neural interfaces that are at the ground level of brain-computer-interfaces. This is a unique opportunity to work closely with a multi-disciplinary team in an environment where you will have direct impact on the next-gen product. The job responsibilities will include:

• Build, refine, and use Finite Element Analysis (FEA) models to predict mechanical response, model material behavior under stress, and support material optimization.
• Use computational models to identify design weaknesses, optimize material selection and geometry, and reduce the need for physical prototyping.
• Evaluate and test the mechanical properties of implant materials under various adverse conditions to determine their performance and longevity.
• Operate high-precision testing instruments, including dynamic mechanical analyzers (DMA) and mechanical oscillators
• Assemble, calibrate, and operate components for Accelerated Lifetime Testing (ALT) systems.
• Collaborate with interdisciplinary teams to design custom fixtures and develop high-throughput testing equipment, incorporating accelerated aging and mechanical fatigue testing.

Required Qualifications: 

• Hands-on experience with mechanical assembly, fabrication, or building and calibrating test equipment.
• Experience with mechanical design (Solidworks or similar CAD software, etc).
• Familiarity with the scientific principles of  Finite Element Analysis (FEA) involved in analyzing mechanical tests.
• Experience with the standard mechanical testing equipment (tensile tester, DMA, etc), user interfaces and familiarity with associated test standards (ASTM, etc).
• 2+ years of hands-on experience with mechanical testing.

Preferred Qualifications: 

• Direct experience with FEA software (e.g., COMSOL, Abaqus, ANSYS) to model mechanical behavior.
• Experience with DMA, TMA, and/or other mechanical-related testing equipment.
• Experience calibrating and troubleshooting lab instrumentation for mechanical, electrochemical analysis.
• Experience with instrument operational software in addition to hardware for mechanical testing equipment.

Pay Transparency:

Based on California law, the following details are for California individuals only:

California Hourly Rate: 

$35/hr USD

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. As a Neuroengineer on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. 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.

Job Description and Responsibilities:

• Develop computational models of, and design encoding strategies for, electrical stimulation
• Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
• Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
• Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
• Present results in a collaborative setting

Required Qualifications: 

• Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
• 4+ years of academic or industry experience
• A strong understanding of the scientific method and engineering first principles
• Fluency with Python for data analysis

Preferred Qualifications: 

• Experience with modern statistical inference and machine learning, including for machine vision applications
• Experience with neural stimulation
• Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
• Experience modeling electric fields using finite element modeling (FEM)
• Experience building and programming experimental instrumentation 
• Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface

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. To accelerate our pathway to human ready brain-computer interfaces, you will have the opportunity to partner with our electrical, microfabrication, chip designers, neuro and mechanical engineers.

Job Responsibilities:

We are looking for Analog and Mixed-Signal IC Design Engineer Interns who are interested in architecting and implementing innovative solutions with high energy-efficiency and compact silicon footprint and who thrive with the autonomy to propose creative approaches to problems. 

Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals with different skill sets and perspectives, and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

The Analog and Mixed-Signal IC Design Engineer Intern will be responsible for analog and mixed-signal chip design, from circuit design to layout and verification. 

• Define and implement innovative and optimal analog and mixed signal circuit architectures and transistor-level circuit solutions to achieve a variety of challenging noise, mismatch, distortion, power consumption, and cost requirements
• Defines verification plan for a 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 other team members; ensures bugs and other issues are identified and appropriately analyzed

Key Qualifications:

• Minimum 1 years of experience in analog/mixed-signal integrated CMOS circuit design for a specific area (e.g., delta-sigma ADC, SAR ADC, DAC, VCO, PLL, DLL, Audio CODEC and Class D audio amplifier, high speed PHY & SERDES) with a successful track record of silicon validation
• Minimum 3 months experience of application of technical skills outside of the classroom (examples: laboratory, research, extracurricular project teams, open source contributions, volunteering, personal projects or prior internship/work experience)
• The ideal candidates are people who get excited about building things, are highly analytical, and enjoy tackling new problems regularly

Preferred Qualifications:

• Skills in scripting and automation for complex simulation scenarios
• Experience in lab testing of high-precision analog and mixed-signal ICs
• Functional modeling experience and logic verification with Verilog AMS and SystemVerilog
• Experience in design and layout with advanced CMOS FinFET technologies
• Experience with design for high-volume production

Team Description:

The Robot Manufacturing Software team allows Neuralink to build neurosurgical robots at a scale that has never been done before. Every robot that ships was tracked, assembled, calibrated, and verified through the software you'll build. This is the backbone of how we scale from early production to meeting real clinical demand.

We're a small, tightly knit team - and this role is the first dedicated owner of the robot manufacturing software stack. As the company scales, so will the complexity, and you'll be the one designing and building the systems that make all of that possible.

We operate as a tight, high-trust team. You'll have direct ownership and the autonomy to solve hard problems, but also high expectations.

We're moving fast to meet clinical demand and keep up with deployments. 60-hour weeks are not uncommon, and there are stretches where the pace is high. This isn't for everyone.

Job Description and Responsibilities:

As a Software Engineer on the Robot Manufacturing Team,  you'll work directly with robot engineers and surgical engineers to understand what they need, then build it. You won't be handed a spec doc from a product manager three layers removed from the problem. 

Some days you're heads-down writing code all day. On another day, you might spend a morning pairing with a robot engineer to understand a new calibration process, then spend the afternoon building the tracking system for it. The constant is that you're close to the problem and shipping solutions quickly. Projects you will work on: 

• Inventory and warehouse management systems that track every component going into a neurosurgical robot - from raw materials through final assembly
• Lifecycle management software that engineers use to build, calibrate, verify, and maintain robots throughout their entire lifespan
• Whatever else needs building. The scope of problems here is wide and constantly evolving. You'll have real ownership over the direction this stack grows

Required Qualifications: 

• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
• You've built software that real people use
• You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
• You take ownership. When your software breaks on the floor, you fix it
• You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device

Team Description:

The Brain Interfaces Software Team is responsible for the end to end software stack that manages implant communication, verification, manufacturing and monitoring. We own client side SDKs and full-stack platforms that are used by various divisions within the company. We are looking for versatile engineers who are interested in architecting and implementing elegant software solutions and who thrive with the autonomy to propose creative approaches to problems. 

Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

Job Responsibilities:

As a Software Engineer on the Brain Interfaces Software Team, your responsibilities will encompass:

• Developing and improving Neuralink’s Implant and Charger SDK
• Maintaining Neuralink’s brain interface software and firmware build tooling
• Developing and improving Neuralink’s Implant manufacturing line acceptance software
• Maintaining Neuralink's Implant design control verification testing software
• Developing and improving Neuralink’s Implant recorder system
• Developing and improving Neuralink’s Implant monitoring system

Required Qualifications:

• Fluent in Python and C or Rust (don’t get hung up on this—being an exceptional software engineer matters above all)
• Experience (and comfortable) with the Linux/Unix systems and command line
• Evidence of exceptional ability in engineering, mathematics, or computer science
• Strong understanding of engineering first principles
• Strong intuition for what matters in a production system (vs. research-grade)

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

• You find large challenges exciting and enjoy discovering and defining problems as much as solving them
• You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end, you know that what matters is delivering reliable solutions. (Our ultimate aim is to help people; the “right” solution doesn’t always achieve that)
• You are mission-driven and goal-oriented in your approach to solving problems
• You feel a sense of urgency to get things done sooner rather than later—because there is so much we, as people, can contribute to the world and accomplish in this life, it’s a shame to waste time
• You are resourceful, flexible, and adaptable; no task is too big or too small

Team Description:

The Data Engineering Team works closely with other teams—neuroscientists, physicists, roboticists, chip designers, pathologists, and mechanical engineers—to build Neuralink’s centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to microfabrication manufacturing data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup – rapidly prototyping and building software that solves problems for the company. If you are obsessed with smooth user experience and love to iterate rapidly on software, you may be a good fit for this role!

 See a talk on our data platform, Neuralake, below:

Job Description and Responsibilities:

As a Software Engineer on the Data Engineering Team, you will have the opportunity to impact engineering and experimentation at Neuralink. You will fully own and drive projects, from interfacing with stakeholders and gathering requirements, to delivering exceptional software. Our ideal candidate has accomplished a record of outstanding achievement in software engineering. Additionally, you will be expected to:

• Build end-to-end data systems to facilitate the easy querying of data
• Build and maintain low-latency pipelines and batch data processing jobs
• Create easy-to-use dashboarding platforms for internal data sharing
• Work directly and iteratively with stakeholders to grow MVPs into mature solutions
• Own the design, development, and testing of software development projects
• Deliver results. You may enjoy thoughtful conversations about problems and perfecting designs, but in the end, you know that what matters is delivering a solution that works
• Be a cross-disciplinary team member. You are excited to work with and learn from software, mechanical, electrical, materials, and biological engineers, as well as neuroscientists. You are comfortable communicating across teams.
• Be resourceful, flexible, and adaptable; no task is too big or too small

Jobs at Neuralink are highly dynamic; depending on your skills and our needs, you may work across a wide range of projects, from interpreting neural data to analyzing histology, developing surgical tools, or creating brand-new BCI approaches. Successful candidates will be highly adaptable, able to deploy core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Required Qualifications: 

• Most important: Demonstrated leadership in delivering a product or feature, either as a team leader or key contributor
• Evidence of exceptional ability in software engineering
• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• 1-2 years of experience leading teams and owning the success of a product
• Excellent written and verbal communication skills
• Experience understanding requirements and delivering in an interactive manner
• Experience understanding requirements and delivering iteratively

Preferred Qualifications:

• Experience with building data platforms
• Experience with Python and Rust
• Experience with data analytics systems such as Clickhouse, Delta Lake, Apache Spark, Hadoop, or Snowflake

Note: You do not need to have any of these preferred qualifications in order to be considered for this role! Any exceptional software engineer is encouraged to apply.

Team Description:

The Brain Interfaces Software Team is responsible for the end to end software stack that manages implant communication, verification, manufacturing and monitoring. We own client side SDKs and full-stack platforms that are used by various divisions within the company. We are looking for versatile engineers who are interested in architecting and implementing elegant software solutions and who thrive with the autonomy to propose creative approaches to problems. 

Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

Job Responsibilities:

As a Software Engineer Intern on the Brain Interfaces Software Team, your responsibilities will encompass:

• Developing and improving Neuralink’s Implant and Charger SDK
• Maintaining Neuralink’s brain interface software and firmware build tooling
• Developing and improving Neuralink’s Implant manufacturing line acceptance software
• Maintaining Neuralink's Implant design control verification testing software
• Developing and improving Neuralink’s Implant recorder system
• Developing and improving Neuralink’s Implant monitoring system

Required Qualifications:

• Fluent in Python and C or Rust (don’t get hung up on this—being an exceptional software engineer matters above all)
• Experience (and comfortable) with the Linux/Unix systems and command line
• Evidence of exceptional ability in engineering, mathematics, or computer science
• Strong understanding of engineering first principles
• Strong intuition for what matters in a production system (vs. research-grade)

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

• You find large challenges exciting and enjoy discovering and defining problems as much as solving them
• You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end, you know that what matters is delivering reliable solutions. (Our ultimate aim is to help people; the “right” solution doesn’t always achieve that)
• You are mission-driven and goal-oriented in your approach to solving problems
• You feel a sense of urgency to get things done sooner rather than later—because there is so much we, as people, can contribute to the world and accomplish in this life, it’s a shame to waste time
• You are resourceful, flexible, and adaptable; no task is too big or too small

Team Description:

The Microfabrication Team, a division of the Brain Interfaces Hardware Department, designs, manufactures, and verifies the thin-film microelectrode array that records and relays neural signals to the body of the implant. The team operates at an in-house cleanroom facility in Fremont, with operations expanding to Austin in the near future. 

Job Description and Responsibilities:

The Microfabrication Engineer at Neuralink will be responsible for the development of micro-fabricated medical devices including thin-film microelectrode arrays used in preclinical and clinical studies within Neuralink. This includes developing process modules to push design and fabrication limits; performing metrology to monitor, test, and characterize in-process progress; and providing detailed documentation of process steps, changes, and measurements.

• Design and physically realize next-generation thin-film microelectrode arrays.
• Develop and deploy advanced process integration schemes for thin-film fabrication within production environments.
• Execute benchtop experiments to characterize the relationship between fabrication parameters, design, and product performance (e.g., impedance and longevity).
• Utilize statistical analysis on experimental data to drive data-informed product improvement decisions.
• Sponsor in vivo studies to validate the physiological performance of novel designs and processes.
• Author comprehensive SOPs and technical documentation to standardize process activities across the team.
• Provide technical training and mentorship to team members on specialized study activities.
• Manage data collection and retention strategies to ensure high-quality reporting and documentation at study completion.
• Contribute to the completion of study reports.
• Work with external vendors to align product requirements and communicate technical specifications.

Required Qualifications:

• Evidence of exceptional ability in an engineering or physical science field
• Bachelor's degree in an engineering discipline or physical science  
• 3+ years of academic or industry experience working with microfabrication technology
• Experience in experimental design, data collection and analysis, and scientific communication
• Comfortable working closely with hazardous substances and sensitive electronic devices in research and production environments
• Experience with analytic and microfabrication process equipment

Preferred Qualifications:

• Masters or PhD in electrical engineering, mechanical engineering, chemical engineering, materials science, physics, or other related fields
• Experience with microfabricated device layout design 
• Experience with  working in high-volume production environments

Additional Requirements and Competencies:

• Ability to travel to/from and work in Fremont or Austin

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 Responsibilities and Description: 

The Physical Design and Verification Engineer will be responsible for RTL to GDSII Physical Design Implementation, including Synthesis, Placement, Clock Tree Synthesis, Detailed Routing and Optimization, in addition to Physical Signoff Verification. 

Required Qualifications: 

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience.
• Minimum 5 years of experience in digital physical design and verification.
• Excellence in complete RTL to GDSII flow with strong experience in the usage of industry-standard Electronic Design Automation (EDA) tools for both physical design and timing signoff.
• Deep knowledge on industry standards and practices in physical design including physically-aware synthesis flow, floor-planning, and place & route, metal fill, chip finishing, signal integrity checks, and dynamic EMIR-Drop analysis, and formal ESD verification.
• Experience in Signoff ECO flow to fix timing, noise, IR-Drop and EMIR violations.
• Experience in physical design verification to debug LVS/DRC/PERC issues at the chip/block level using industry standard tools.
• Experience in developing automation flow and scripts using Python, Perl, Makefile, Tcl and UNIX shell.

Preferred Qualifications: 

• Master of Science (M.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience.
• Experience working on physical design and implementation of complex ASIC systems at advanced technology nodes, preferably 16nm and below. 
• Experience in DFT (Design For Test) flows and ATPG.
• Experience in I/O design flow in multi-voltage power domain.
• Experience in building chip floor-plan including pin placement, partitions and power grid.
• Experience in hierarchical synthesis, place-and-route and design closure to meet timing, area, and UPF-driven low power constraints.
• Experience with build tools such as CMake and Bazel.
• Experience with code coverage and regression setup.

Team Description:

For Neuralink's Information Technology team, the corporate environment is production. It is where our groundbreaking research and development takes place and hosts our assembly lines, neural recording training and processing, and many other functions. The team builds critical systems and processes that safely accelerate our progress along the company's critical path.

Job Description and Responsibilities:

Neuralink is looking for a hands-on Network & Systems Engineer with deep expertise in data center design, build, and operations. You will own the end-to-end lifecycle of our compute and network infrastructure — from site buildout and hardware procurement through deployment, automation, and day-to-day operations. The ideal candidate brings equal comfort on the data center floor and at the keyboard, thrives in a fast-paced high-stakes environment, and has a passion for building reliable, scalable systems from the ground up. The job responsibilities will include:

• Design, build, and operate data center environments including power infrastructure (PDUs, UPS, generators), cooling systems (CRAC/CRAH, liquid cooling), and scalable racking solutions
• Procure, rack, cable, and commission server and network hardware; perform BIOS/firmware tuning and integration testing
• Own the full server lifecycle — from hardware selection and vendor coordination through deployment, maintenance, and decommission
• Administer and manage HPC clusters, storage systems, and high-speed networksAutomate server provisioning using PXE/HTTP boot, scripting (Bash, PowerShell, Python), and configuration management tools such as Terraform, Ansible, and Puppet
• Administer Linux and Windows server environments including OS deployment, patching, and performance tuning
• Deploy, maintain, and monitor campus network infrastructure including switching, routing, wireless, and NAC; respond aggressively to incidents to maintain uptime
• Plan and coordinate maintenance windows, upgrades, and expansions; maintain 24/7 on-call readiness
• Ensure all systems comply with HIPAA, PII handling requirements, and applicable cybersecurity standards (ISO, NIST)
• Author and maintain documentation including network topology, systems design, runbooks, and SOPs
• Manage network and server hardware inventory

Required Qualifications:

• Hands-on experience with Cisco Catalyst, Arista, and enterprise wireless technologies
• Experience building and supporting HPC or high-density compute environments: GPU clusters, high-performance storage, 
• Working knowledge of routing protocols and network technologies: BGP, OSPF, ECMP, eBPF, SFLOW, TCP/IP, DNS, DHCP, SNMP, NTP, PTP, ARP, CDP, LLDP
• Familiarity with DCIM tools and infrastructure monitoring (Prometheus, Grafana, or similar)
• Experience with firewalls, SDWAN, and enterprise security technologies

Preferred Qualifications:

• Familiarity with Wave Division Multiplexing, Fiber Optics, GPON, and FTTH
• Familiarity with cluster resource managers (Slurm, LSF, PBS)
• Experience with virtualization platforms (VMware/Hyper-V) and storage ecosystems (NAS/SAN, NFS/iSCSI)
• Exposure to real-time systems and industrial telemetry networks
• Industry certifications such as CCNA, CCNP, or equivalent data center certifications

Team Description:

The Robot Software Team builds software that enables scalable neurosurgery that allows safe implantation of the N1 device, ranging from core control, sensors and perception, autonomy, surgery analytics, and more. This role tightly integrates with the robot hardware team, surgery engineering team, as well as the BCI applications team which rely on us to deliver safe and effective implantation of the N1 device. 

Neuralink strives to be a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out, and we believe the best solutions emerge and the best teams are created when you assemble high-performing individuals and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us.

Job Description and Responsibilities:

As a Software Engineer Intern on the Robot Software Team, you will be responsible for writing software and making sure your code works on an actual surgical robot, not just simulation. Our robotics integrate actuated devices with microelectromechanical systems as well as novel surgical procedures. These applications place strong emphasis on high-precision, high-repeatability mechanical motion, as well as high reliability and fail-safe design. You will be expected to:

• Develop safety-critical software for the robot; you are responsible for contributing directly to surgery-ready software as an intern
• Take ownership of a project that is integral to robot functioning from design to implementation under the guidance of a robot software team member
• Jump on problems when they arise with a strong bias for action to support robot operation by non-software teams
• Work across different engineering disciplines; your software may involve interactions with the mechanical, electrical, biological, and neuroscience teams

Required Qualifications: 

• Evidence of exceptional ability in engineering or computer science
• Experience in writing performant applications in a system language like C, C++, and Rust
• Ability to work on mission-critical and safety-critical systems
• Strong bias for action and first principles thinking

Preferred Qualifications: 

• Hands-on experience with robotics or high-reliability systems
• Experience coding in Linux and debugging on Linux systems
• Experience in computer vision
• Experience in kinematics and motion planning
• Experience working on medical robots
• Experience working in a high-precision environment

Pay Transparency:

Based on California law, the following details are for California individuals only:

California Hourly Rate:

$35/hr USD

Team Description:

Recruitment is the driving force behind Neuralink’s growth and is responsible for cultivating exceptionalism by finding top talent and hiring experts for our interdisciplinary teams, all while providing an all-around great candidate experience. The Recruiting Team members have come from diverse industries, forming a group of experts in Hardware, Software, Research, and G&A hiring. Our team collaborates closely and believes communication is the key to success. 

Job Description and Responsibilities:

As a Recruiting Coordinator, you will play an essential role on the recruiting team. You will support recruiters as we guide candidates through the stages of the interview process. Your attention to detail, sense of urgency, and positive attitude will enable you to create an exceptional experience for our candidates and hiring teams. Additionally, you will be responsible for:

• Scheduling multiple stages of the interview process including assessments and on-site interviews
• Coordinating candidate travel, meals, and interview materials
• Hosting candidates while they’re visiting us on-site
• Reliably partnering with all employees who participate in the interview process
• Troubleshooting scheduling issues

Required Qualifications:

• 1+ year of experience in recruiting/HR coordination and/or project management/calendar management
• Attention to detail, sees tasks through to completion, and a passion for creating processes
• Strong work ethic and sense of urgency
• Excellent customer service skills and a team-oriented mindset
• Flexible and willing to adapt to change
• Organized and able to manage multiple priorities simultaneously

Preferred Qualifications:

• Success operating in a fast-paced, start-up environment with autonomy
• Experience using Greenhouse, G Suite, and Excel
• Ability to build strong relationships with both hiring managers and candidates

Expected Compensation:

At Neuralink, your base pay is one part of your total compensation package. The anticipated hourly rate for this position is expected to be within the below range. Your actual base pay will be determined by your job-related skills, experience, and relevant education or training.

California Hourly Range:
$21 — $35/Hr USD

Team Description:

The Pathology and Digital Imaging team enables the rigorous preclinical studies our devices go through before reaching a user. Testing is precise; analyzing tissue to understand exactly what happened at the cellular level. This team is crucial for proving  safety, improving our  device, and pushing  science forward.

Histological analysis has shown that Neuralink's threads preserve 98% of neurons at the implant interface. The Pathology and Digital Imaging Team makes these kinds of analyses possible.

This is a small, tightly knit team, and you'll work directly with pathologists, technicians, and neuroscientists. You'll watch them use your software, hear what's slow, see what's confusing, and ship fixes and features fast. The feedback loop is measured in hours, not sprints.

Job Description and Responsibilities:

As a Software Engineer on the Pathology and Digital Imaging Team,  you'll own the software stack that powers Neuralink's pathology and histology operations. This spans the full lifecycle - from the moment tissue is collected at necropsy, through processing, staining, and imaging.

You’ll build the software that makes this analysis scalable: tracking thousands of tissue specimens from collection through microscopic analysis, giving scientists the tools to analyze billion-pixel images, and building AI tools to auto-analyze tissue response. Projects you will work on: 

• Tissue specimen tracking systems that follow samples, organ blocks, and slides through every step of the histology workflow
• A high-performance whole-slide image viewer that renders billion-pixel microscopy images in the browser
• Annotation and analysis tools that let scientists draw regions of interest, score pathology findings, and compare serial sections with image alignment and overlay
• ML annotation pipelines where model predictions are surfaced to scientists for validation, accelerating the analysis of large tissue datasets

Required Qualifications: 

• A bachelor’s degree in Computer Science or equivalent demonstrated work experience
• Strong full-stack engineering skills. Our stack is Ruby on Rails and React/TypeScript, but we care more about your ability to learn and ship than your resume matching our package.json
• You've built software that real people use
• You can talk to users, understand their problems, and translate that into well-built software. This role is deeply collaborative
• You take ownership. When your software breaks on the floor, you fix it
• You're comfortable with ambiguity. Manufacturing at this scale hasn't been done before for this kind of device

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:

• Currently pursuing a Bachelor’s or Master’s degree in Mechanical Engineering or a related field
• 6+ months of relevant academic coursework or project experience
• 9+ months of experience applying technical skills outside the classroom (e.g., personal projects, prior internships, or work experience)
• 1+ years of Mechanical Design experience
• Strong understanding of engineering first principles
• Effective written and verbal communication skills

Preferred Qualifications: 

• 1+ years of mechanical engineering industry experience, including owning products from concept to production
• Familiarity with machining and rapid prototyping technologies
• Experience with precision design and manufacturing
• Exposure to medical device design and manufacturing

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 a Digital IC Design Engineer Intern, your responsibilities will include:

• Micro-architecture design and RTL implementation of: 
• Low-power digital signal processors
• Low-power general-purpose hardware accelerators
• Low-power graphics processing units
• Low-power radio MAC/PHY
• Low-power serial link MAC/PHY
• Design and implementation of hardware/software interface with firmware engineers
• Application-specific architecture optimization including:
• Complex system modeling for energy and performance benchmarks
• Workload analysis and modeling
• Leveraging architecture-level design trade-offs with process technology and workload type
• Balancing energy efficiency and performance under manufacturing process variation 
• Complex system-on-chip verification
• Behavioral level modeling and model equivalence check
• FPGA emulation
• Analog mixed-signal co-simulation
• Design for testability 
• Collaboration on silicon bring-up tests with silicon validation engineers 

Required Qualifications:

• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• 2+ years of experience in digital design
• Proficient in SystemVerilog, C/C++, Python
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications:

• Experience in architecture optimization with process technology customization
• Experience in the verification of complex digital systems, using industry standard tools
• Experience in the physical design of complex digital systems, using industry standard tools
• Experience testing and debugging digital system-on-a-chips
• Functional modeling experience and logic verification with SystemVerilog, SystemC/C++, or UVM 
• Experience automating tool flows
• Experience with embedded design
• Experience in processor instruction set architecture design
• Experience in compiler back-end design and customization
• Experience designing PCBs or writing firmware.

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

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 and novel computer user interfaces
• Work with study participants to iterate on and further refine the software
• Design and implement algorithms to decode brain activity
• Design user experiences centered around brain control

Required Qualifications:

• Strong experience with full-stack development 
• Fluent in programming languages such as Swift, Objective-C, Kotlin or Java
• Experience in architecting elegant, maintainable, performant and reliable user facing software applications 
• Evidence in delivering high-impact projects to users or businesses with clear metrics and fast iteration cycle
• Evidence of exceptional ability in engineering
• Strong understanding of engineering first principles
• You are resourceful, flexible, and adaptable; no task is too big or too small
• Excellent communication and collaboration skills
• Currently pursuing a Bachelor’s degree in Computer Science or a related field 

Preferred Qualifications:

• Experience with native (desktop/ Android/ iOS) preferred 
• Strong experience in operating system knowledge in low latency concurrency programming, memory management and networking

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 & Responsibilities: 

Our Digital IC Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

• Micro-architecture design and RTL implementation of: 
• Low-power digital signal processors
• Low-power general-purpose hardware accelerators
• Low-power graphics processing units
• Low-power radio MAC/PHY
• Low-power serial link MAC/PHY
• Design and optimization of hardware/software interface with firmware engineers
• Application-specific architecture optimization including:
• Complex system modeling for energy and performance benchmarks
• Workload analysis and modeling
• Energy/performance profiling and analysis
• Leveraging architecture-level design trade-offs with process technology and workload type
• Balancing cost and performance under manufacturing process variation 
• Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• 5+ years of experience in digital design
• Expertise in SystemVerilog, C/C++, Python
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

• Experience in architecture optimization with process technology customization
• Experience in the verification of complex digital systems, using industry standard tools
• Experience in the physical design of complex digital systems, using industry standard tools
• Experience testing and debugging digital system-on-a-chips
• Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
• Experience automating tool flows
• Experience with embedded design
• Experience in processor instruction set architecture design
• Experience in compiler back-end design and customization

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 at least 5 years after receiving the BS degree
• Minimum 5 years of experience in analog/mixed-signal integrated CMOS circuit design for a specific area (e.g., delta-sigma ADC, SAR ADC, DAC, VCO, PLL, DLL, Audio CODEC and Class D audio amplifier, high speed PHY & SERDES) with a successful track record of silicon validation
• The ideal candidates are people who get excited about building things, are highly analytical, and enjoy tackling new problems regularly

Preferred Qualifications:

• Masters or PhD in electrical engineering, physics, or other related fields
• Experience with design for high-volume production
• Experience in lab testing of high-precision analog and mixed-signal ICs
• Functional modeling experience and logic verification with Verilog AMS and SystemVerilog
• Experience in design and layout with advanced CMOS FinFET technologies
• Skills in scripting and automation for complex simulation scenarios

Team Description: 

The Infrastructure Team builds the foundation that enables the company to operate safely, robustly, and move at light-speed. We run a mixture of cloud-based and on-prem systems and have a user base spanning from highly technically proficient engineers to non-technical scientists and doctors; but all of them need solid systems, rugged networking, and bullet-proof software to do their jobs. This role will integrate tightly with teams across the company, and span all layers of the work environment stack, from deployment of physical hardware on the manufacturing line, to custom tooling to stream neural recordings from implants.

Tech Stack:

• Rust, Python
• Terraform
• Bazel and Nix
• Kubernetes
• GitLab CI
• AWS
• Ubuntu, Fedora

Focus:

• Developing the foundations for teams to build the software and systems required for record-breaking BCI experiences.
• Enhancing developer experience with robust tooling and build-system infrastructure.
• Building foundational infrastructure for HITL (hardware in the loop) testing across firmware, BCI, and robot teams.
• Ground-up infrastructure of on-premise solutions as well as cloud architecture.
• Foundational software engineering with a focus on serving internal software teams.

Qualifications: 

• Experience using IAC tools such as Terraform, Docker, Packer, Ansible, Cloud-Init, Kickstart.
• Working knowledge of compiled languages, ideally Rust, Go, or C/C++.
• Working knowledge of major cryptographic protocols and authentication schemes such as TLS, x509, 802.1x, U2F, SAML.
• Familiarity with modern Linux boot process, UEFI, TPM measured boot, Secure Boot, Systemd.
• Systems administration experience on Windows, macOS, and Linux.
• In-depth understanding of modern networking and common protocols.
• Ability to architect, build, and ship 0 to 1 infrastructure quickly and efficiently.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Field Clinical  Engineer, you will be on the front lines of Neuralink’s clinical programs, working directly with participants, clinicians, and internal teams to translate cutting-edge neurotechnology into meaningful functional outcomes. This role is ideal for individuals with a background in PM&R, occupational therapy, or physical therapy who also have experience in medical devices and thrive in dynamic clinical environments.

You will play a critical role in bridging clinical care, engineering, and research by supporting device use, optimizing participant performance, and ensuring high-quality data collection in both clinical and home settings.

This role requires someone who is hands-on, clinically grounded, technically curious, and able to adapt quickly. You should be comfortable working with participants with significant neurological impairments and motivated by improving independence and quality of life.

In this role, you will:

• Work directly with study participants to support device use, training, and optimization during clinical sessions and at home
• Apply principles of rehabilitation (PM&R, OT, PT) to maximize participant outcomes and functional performance with the system
• Collaborate closely with surgeons, investigators, and site staff to ensure seamless clinical execution across all phases of the study
• Serve as the primary interface between participants and the technology, troubleshooting issues in real time and escalating when needed
• Support surgical and post-operative workflows, including intraoperative and early post-implant sessions where applicable
• Ensure high-quality, protocol-compliant data collection by aligning participant activities with study endpoints and data capture requirements
• Partner with clinical, engineering, and data teams to translate real-world use into actionable insights for product and algorithm development
• Identify trends in participant performance, usability challenges, and safety signals, and communicate clearly to cross-functional teams
• Contribute to development and refinement of training protocols, user workflows, and clinical best practices
• Support site onboarding, training, and ongoing engagement to ensure consistency and scalability across clinical sites
• Assist in preparation for regulatory inspections and ensure activities are conducted in compliance with GCP, protocol requirements, and internal procedures
• Travel to clinical sites as needed to support study execution and participant care

The ideal candidate:

• Has a clinical background in PM&R, occupational therapy, or physical therapy, with hands-on experience working with neurological populations (e.g., SCI, ALS, stroke)
• Has experience working with medical devices in a clinical or field-based role
• Is highly adaptable, proactive, and comfortable operating in a fast-paced, evolving environment
• Is technically curious and able to engage with engineers to troubleshoot and improve system performance
• Communicates clearly and builds trust with participants, clinicians, and cross-functional teams
• Is detail-oriented and understands the importance of protocol adherence and data integrity in clinical research

Required Qualifications: 

• Clinical training and hands-on experience in PM&R, occupational therapy, or physical therapy, with a focus on neurological populations (e.g., SCI, ALS, stroke)
• 3+ years of experience in a clinical, field-based, or medical device–adjacent role (rehab, neuromodulation, assistive technology, or similar)
• Demonstrated experience working directly with patients and clinicians in dynamic care environments
• Strong problem-solving skills with the ability to troubleshoot clinical and technical issues in real time
• Ability to interpret participant performance, functional outcomes, and device behavior to inform next steps
• Comfort working with technology, including basic data review and interaction with software-driven systems (no need to be a coder, but not afraid of one either)
• Working knowledge of clinical research principles, including protocol adherence, endpoint-driven activities, and data quality expectations
• Familiarity with Good Clinical Practice (GCP) and general clinical study conduct
• Ability to collaborate effectively across clinical, engineering, and operations teams
• Strong communication skills, with the ability to engage both participants and highly technical teams
• High attention to detail, with the ability to manage multiple participants, sites, and priorities simultaneously
• Willingness to travel frequently to support clinical sites and participants

Preferred Qualifications:

• Degree or formal training in bioengineering, biomedical engineering, or a related field, with exposure to neurotechnology or implantable systems
• Experience working with neuromodulation, brain-computer interfaces, or other neurorehabilitation technologies
• Prior experience in a clinical field engineer, clinical specialist, or applications role within a medical device company
• Experience supporting surgical procedures, intraoperative environments, or early post-implant programming and troubleshooting
• Familiarity with signal-based systems (e.g., neural data, EMG, EEG) and comfort interpreting system performance in real time
• Exposure to rehabilitation technology integration, including assistive devices, digital interfaces, or adaptive control systems
• Experience supporting multi-site clinical studies or working directly with investigators and study coordinators
• Comfort working with data systems (e.g., EDC platforms, basic data visualization tools) to review participant performance and study metrics
• Understanding of usability, human factors, and patient-centered design principles
• Prior involvement in training clinicians or participants on device use and workflows
• Experience working in early-stage or rapidly evolving clinical programs where processes are still being defined

Team Description:

The BCI Applications Team is responsible for building Telepathy.app—software which enables people with paralysis to use computing devices with precision and ease, via thought alone. Our team spans a wide range of disciplines, from neuroscience and machine learning to software engineering and interface design.

Job Description:

We’re looking for an experienced UI Design Engineer to conceptualize, prototype, and ship novel computing interfaces tailored for BCI. Our ideal candidate will possess the following qualities:

• Passion to explore an open-ended, multi-disciplinary, constrained space where design choices are informed by neural structure, model architecture, radio bandwidth, and more. For instance, a slight difference in an animated spring coefficient can change perceptual response time, shifting the alignment of labels and the performance of our decoders. You will actively collaborate with domain experts within and outside the team to understand these constraints and design your way around them
• An intuitive sense for what level of fidelity to reach for when navigating this space, be it a conversation, a rough sketch, or a testable prototype
• Excitement to work within and push the boundaries of an entirely new medium of interaction without the traditional sensory feedback of existing physical input devices (e.g., the kinetic friction of glass along the surface of a trackpad, or the resistive pressure of a spring during a keypress)
• The ability to empathize with and design for people with a sensory experience that differs from your own, and ambition to build something that feels magical, beyond the local minima of that which “works.” You’ll do whatever it might take to deliver that experience, be it a highly optimized vertex shader or a custom property animator, while maintaining an extremely high bar for fluidity and detail throughout
• A strong point-of-view, without ego—you may occasionally pursue a hunch that not everyone on the team agrees with, but are relentless about testing, deleting, and learning from ideas that don’t work

Job Responsibilities:

• Design, prototype, build, and ship novel computing interfaces for BCI
• Work with study participants to iterate on and further refine these interfaces
• Collaborate with domain experts in neuroscience, machine learning, and implant engineering to maximize the precision and fluidity of these interfaces within our constraint-space

Required Qualifications:

• Bachelor’s degree in Computer Science, Human-Computer Interaction, or related field; or equivalent experience
• A portfolio of demonstrated experience designing and shipping features end-to-end (i.e., initial conceptualization → nth prototype → initial release → nth iteration)
• Proficiency in Apple frameworks (i.e., SwiftUI, UIKit/AppKit, and/or Metal) or an equivalent and transferable stack (i.e., React, Three.js, WebGPU). 
• Familiarity with Objective-C, C, and/or C++

Job Summary

We are seeking a talented Signal Processing Engineer to design, develop, and optimize advanced digital signal processing (DSP) algorithms for on-chip and embedded implementation. In this role, you will create efficient, hardware-friendly algorithms that run directly on custom SoCs, enabling real-time processing with constraints on power, latency, area, and throughput. You will collaborate closely with the SoC, Firmware, and Machine Learning teams to translate high-level signal processing needs into production-ready solutions.

Key Responsibilities

• Design and develop signal processing algorithms for sensing neural activity in the cortex (e.g. spike detection), monitoring cortical electrode health, and more.
• Design and develop numerical algorithms, such as custom data compression to increase radio throughput.
• Develop fixed-point or quantized versions of algorithms optimized for constrained hardware.
• Implement and verify algorithms in high-level languages and transition them to hardware-friendly representations.
• Perform algorithm-to-architecture mapping: analyze trade-offs between accuracy, latency, power, and resource utilization on the SoCs.
• Collaborate with the digital design team to define micro-architectures for custom on-chip processing pipelines, including dataflow, pipelining, and parallelization.

Required Qualifications

• Education: BS, MS or PhD in Electrical Engineering, Computer Engineering, Signal Processing, or a related field.
• Experience: 3+ years in digital signal processing algorithm development or real-world products, with a focus on embedded or hardware-constrained implementations.
• Fluent in signal processing fundamentals (both analog and digital) and strong numerical capabilities.
• Familiarity with fixed-point arithmetic, quantization effects, and numerical precision trade-offs.
• Proficiency in Python and C for algorithm prototyping and simulation.

Preferred Qualifications

• Hands-on experience with Verilog/VHDL, or transitioning algorithms to RTL.
• Experience with dedicated DSP cores or accelerators.
• Track record of optimizing for power/area/latency in resource-constrained environments.

Base Salary Range:

 $121,000 - $230,500

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, DRC, ERC)

Required Qualifications:

• 2+ years of experience in analog and mixed-signal IC layout design
• 1+ year experience with FinFET technologies
• Ability to identify the best approach to solving problems

Preferred Qualifications:

• Programming/scripting knowledge in SKILL, TCL, Shell, C/C++, and/or Python
• Proven expertise in implementing analog and mixed-signal layout designs, achieving tight matching, low noise, and low power consumption
• Understanding on failure-prone circuit and layout structures
• Experience with analog DFM standards
• Experience with layout P-cell design and implementation
• Experience with layout automation 

Team Description:

Join the Brain Interfaces Embedded Systems Team and be part of an elite team of engineers working on high-performance, safety-critical embedded systems for the next-generation brain-computer interfaces. You will have the opportunity to work closely with chip designers, electrical engineers, and software engineers on a small, fast-moving team.

Job Description and Responsibilities: 

We are looking for experienced, hands-on engineers who are interested in exploring what's possible in highly powered and latency-constrained environments. Firmware is the kernel of operation for the implant, and you have the chance to define and implement features that have a significant impact on the product’s capabilities. As an Embedded Software Engineer, you will be expected to:

• Own complex challenges from definition to solution
• Utilize your ability to work cross functionally to deliver safety critical systems while considering power, radio, and thermal requirements
• Take ownership of products and/or core features; from planning and design to execution and testing
• Build on your fundamental understanding of hardware while contributing to bare-metal firmware
• Embrace a fast-paced iterative environment that prioritizes shipping manufacturable solutions 

Note: The team is hiring embedded engineers at all levels, both junior and senior. What matters most is evidence of exceptional abilities and a drive to succeed.

Required Qualifications: 

• Bachelor’s degree in computer science, electrical engineering, related field, or equivalent experience 
• 1+ years of experience with embedded systems (including internships)
• Proficient in embedded C or Rust
• Ability to design bare-metal embedded systems in highly constrained environments
• Strong Electrical Engineering fundamentals 
• Signal processing fundamentals 
• You find enormous challenges exciting and enjoy discovering and defining problems as much as solving them
• You deliver. You may enjoy thoughtful conversations about problems and perfecting design, but in the end, you know that delivering reliable manufacturable solutions matters
• You are a cross-disciplinary team member. You are excited to work with and learn from chip designers to neuroscientists

Preferred Qualifications: 

• Experience with embedded stacks for ARM cores
• Experience with safety-critical systems
• Experience with FPGA development and testing
• Experience with RF, BLE, TCP/IP stacks from a practical embedded perspective
• Prior work or experience with applied cryptography and embedded systems security

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 deliver high-performant, reliable, and manufacturable extremely size-constraint systems
• Gain understanding of all phases of system and board design, from system definition to part selection, schematic design, layout, bring up, and design verification
• Contribute to R&D investigations and experiments to demonstrate feasibility of new technology for the implant and the charger
• Gain experience working cross functionally to ensure successful systems integration
• Contribute to system improvements that decrease latency and increase battery life, reliability, and safety
• Develop ability to design and deploy systems for implant-charger hardware in the loop testing, and manufacturing line quality control

Required Qualifications: 

• Strong EE fundamentals
• Experience designing PCBs for low power and size constrained applications
• Experience with PCB CAD tools (Altium, Eagle, KiCad, Allegro)
• Experience with sensors, power management, and signal/power integrity
• Comfortable with common communication protocols (SPI, UART, I2C, etc.)
• Comfortable with lab equipment (oscilloscope, VNA, etc.)
• Basic C and Python programming skills

Preferred Qualifications:

• Experience with firmware development for embedded systems (C/C++)
• Experience with wireless systems (BLE, WIFI, Zigbee)
• Experience building and bringing-up MCUs or FPGA
• Proficiency with ME CAD tools (Solidworks, AutoCAD)
• Experience with analog circuit design

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

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 & Responsibilities: 

Our Hardware/ Software Co-Design Engineer will be responsible for delivering micro-architecture and register-transfer level (RTL) implementation of digital IPs and systems with a focus in high-throughput low-power digital signal processor (DSP) and general-purpose hardware accelerators towards realizing state-of-the-art brain-computer interfaces. Relevant product development experience in micro-architecture design for low-power processors, on-chip bus and network interfaces, audio/video compression processors, AI/ML accelerators, and communication PHY/MAC will be preferred.

• Micro-architecture design and RTL implementation of: 
• Low-power digital signal processors
• Low-power general-purpose hardware accelerators
• Low-power graphics processing units
• Low-power radio MAC/PHY
• Low-power serial link MAC/PHY
• Design and optimization of hardware/software interface with firmware engineers
• Application-specific architecture optimization including:
• Complex system modeling for energy and performance benchmarks
• Workload analysis and modeling
• Energy/performance profiling and analysis
• Leveraging architecture-level design trade-offs with process technology and workload type
• Balancing cost and performance under manufacturing process variation 
• Collaboration on silicon bring-up tests with verification engineers 

Required Qualifications:

• Bachelor of Science (B.S.) degree in Electrical Engineering and/or Computer Science or a related field, or equivalent experience
• Evidence of exceptional ability in electrical engineering, computer science, or computer engineering
• Experience designing and implementing embedded software in C or Rust
• Expertise in SystemVerilog, C/C++, Python
• Experience designing and implementing  emulation models, transactors, and test environments to replicate hardware behavior
• Experience working on complex digital systems from architecture, microarchitecture, and RTL, using industry standard tools
• Experience in designing digital signal processing pipelines, from algorithm to RTL

Preferred Qualifications: 

• Experience in architecture optimization with process technology customization
• Experience in the verification of complex digital systems, using industry standard tools
• Experience in the physical design of complex digital systems, using industry standard tools
• Experience testing and debugging digital system-on-a-chips
• Functional modeling experience and logic verification with SystemVerilog, SystemC/C++
• Experience automating tool flows
• Experience in processor instruction set architecture design
• Experience in compiler back-end design and customization

About the Team:

The BCI team develops the software and systems that communicate with the brain. These systems decode raw neural signals into useful actions, such as moving a cursor, typing, or actuating a robotic arm. Additionally, real-world data, such as video feeds, can be encoded into neural data to project images into the visual cortex. We also work closely with users to gather feedback, make improvements, and fundamentally reshape the user experience and interface of the BCI.

About the Role:

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop state-of-the-art neural encoders and decoders. No prior knowledge of neuroscience is required; we value simple solutions grounded in first principles.

Neuralink designs all hardware in-house, from custom ASICs to thin-film arrays. There is no part of the technical design that cannot change. Learnings from your work will directly influence next-generation device architecture.

Job Responsibilities:

• Telepathy Product: Develop and refine models that decode neural data, enabling individuals with paralysis to reliably type at 35 words per minute or control robotics arms for activities of daily living.
• Blindsight Product: Formulate research questions to guide the development of neural networks and signal processing algorithms that will restore vision to those affected by blindness.
• Utilize your fundamental understanding of neural networks and data science to develop models that serve as the foundation for machine learning applications for BCI.
• Lead the team by performing at a high standard, setting the bar for how we build and operate our systems.
• Inform our hardware roadmap by understanding users and identifying the product features that would have the greatest impact on their quality of life.

About You:

• Experience writing production-level C/C++/Rust and Python
• Proven track record of designing, building, and shipping real-time ML products
• Strong foundation in signal processing, algorithms, and software engineering principles
• Bachelor’s degree in relevant field or equivalent experience

Fast forward to 40:32 to learn more about neural decoding:

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. As a Mechanical engineering Intern on this team you will contribute across a wide range of projects, from designing novel benchtop experiment setups to test the next generation of implants. 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.

Job Description and Responsibilities:

As a Mechanical Engineering Intern, you will design and build versatile benchtop test setups for evaluating next-generation brain-computer interface (BCI) implants. These setups will enable rapid algorithm iteration and system level validation. You will collaborate closely with the Next-Gen team to define requirements and implement best practices for scalable, reusable test hardware. Specifically, you will:

• Design and build custom benchtop fixtures and electrical/mechanical assemblies to test implant prototypes and related hardware
• Develop setups that mimic neural environments, including spiking-activity emulators, saline or tissue-like baths, and controlled noise sources to replicate in-vivo signal conditions
• Establish and document SOPs for assembly, calibration, and routine testing to ensure repeatability and reliability
• Integrate electrical and mechanical components to support algorithm development, automated data collection, and noise characterization
• Collaborate across disciplines to translate experimental needs into robust solutions
• Iterate and generalize test platforms for future implant designs and evolving experimental requirements

Required Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Mechanical Engineering, Biomedical Engineering, Materials Science, or a related field 6+ months of relevant academic coursework or project experience
• 9+ months of experience applying technical skills outside the classroom (e.g., personal projects, prior internships, or work experience)
• 1+ years of mechanical design experience
• Strong understanding of engineering first principles
• Effective written and verbal communication skills

Preferred Qualifications: 

• 1+ years of mechanical engineering industry experience, including owning products from concept to production
• Familiarity with machining and rapid prototyping technologies
• Experience with electrical engineering, data acquisition modules

Team Description:

The Materials Engineering Team at Neuralink develops and qualifies high-performance, biocompatible materials for next-generation brain-computer interfaces. The team owns material characterization, hermetic packaging reliability, accelerated lifetime testing, and predictive simulation for implantable neural devices. We operate at the intersection of physical testing and computational modeling, closing the loop between experiment and simulation to drive design decisions.

Job Description and Responsibilities:

We are looking for a Mechanical Engineer who owns the full simulation-to-test loop for implant mechanical reliability. This person will build explicit dynamics FEA models, design and run physical tests, calibrate material models against experimental data, and validate predictions. You will work closely with materials engineers, microfabrication, and cross-functional reliability teams to ensure the implant meets impact, fatigue, and seal integrity requirements.

• Build, refine, and validate explicit dynamics Finite Element Analysis (FEA) models (LS-DYNA, Abaqus/Explicit) to predict mechanical response under high-strain-rate impact loading.
• Own the in-house mechanical testing pipeline end-to-end: design fixtures, prepare specimens, run tests (servo-hydraulic, drop tower, DIC), and correlate results to simulation using quantitative metrics (CORA, force-displacement overlay, DIC contour comparison).
• Translate physical test data into constitutive model inputs: calibrate material cards, optimize parameters, and deliver validated simulation files.
• Coordinate test projects (SHPB, DMA, abuse testing) and own data quality from external sources.
• Extend validated impact models to adjacent reliability domains: burst/cyclic pressure testing, vibration fatigue, and seal interface simulation.
• Support cross-functional reliability programs including thermal modeling, RH/leak modeling, and accelerated lifetime testing as needed

Required Qualifications:

• MS or PhD in Mechanical Engineering, Materials Science, or related field.
• 2+ years of hands-on experience with explicit dynamics FEA (LS-DYNA, Abaqus/Explicit, or similar) - not static/modal only.
• 2+ years of hands-on experience with mechanical testing (tensile testers, DMA, servo-hydraulic frames, or similar equipment).
• Experience with polymer or composite material characterization, including rate-dependent and temperature-dependent behavior.
• Hands-on experience with mechanical assembly, fabrication, or building and calibrating test equipment.
• Proficiency in mechanical design (SolidWorks or similar CAD software).
• Familiarity with relevant test standards (ASTM, IEC).
• Ability to work autonomously: define test plans, build fixtures, run tests, analyze data, and present conclusions

Preferred Qualifications:

• Direct experience with high-strain-rate testing (SHPB, drop tower).
• Experience with Digital Image Correlation (DIC) or full-field strain measurement.
• Experience with constitutive model calibration and parameter optimization (fitting test data to LS-DYNA material cards such as MAT_SAMP-1, MAT_024, or cohesive zone models).
• Medical device or aerospace reliability background (DV/V&V, FDA regulatory context).
• Python for data processing and automation.
• Experience correlating simulation to physical test data using quantitative metrics (CORA, force-displacement overlay, DIC contour comparison).
• Experience calibrating and troubleshooting lab instrumentation.

Team Description:

The internal apps team works closely with other teams — neuroscientists, physicists, chip designers, pathologists, and mechanical engineers — to build Neuralink's centralized data aggregation and analysis platform. This data platform collects, organizes, and visualizes a diverse set of data ranging from neural signal recordings and brain histology images to experimental and operational data. Our team owns projects that drive engineering and experimentation at Neuralink.

We operate like an internal startup — rapidly prototyping and building software that solves problems for the company. This usually takes the form of full-stack tools, but can be any tech stack.

We operate as a tight, high-trust team. You'll have direct ownership and the autonomy to solve hard problems, but also high expectations.

We're moving fast to meet clinical demand and keep up with deployments. 60-hour weeks are not uncommon, and there are stretches where the pace is high. This isn't for everyone.

Job Description and Responsibilities:

This is a high-autonomy, high-ownership internship. You will work directly alongside engineers and scientists to build software that has immediate, tangible impact on Neuralink's mission. Some days you're heads-down writing code all day. Other days you're pairing with engineers across the company to understand a new workflow and figure out how to build the right tool for it.

We are looking for versatile software engineers who are interested in architecting and implementing elegant software solutions and thrive with the autonomy to propose creative approaches to problems. 

As an intern, you will work on applications to make Neuralink 100x faster, such as:

• Data platforms to collect, organize, and visualize a diverse set of data ranging from neural signal recordings, device telemetries, surgery recordings, to experimental data
• Lab Systems software, our digital collaboration hub for all teams within the company
• ERP software that orchestrates and tracks everything involved in designing brain-computer interfaces
• DevOps and infrastructure to increase developer productivity

Neuralink strives to be, as much as possible, a meritocratic environment: we require honest and transparent communication to ensure the best ideas win out. Additionally, we believe the best solutions emerge and the best teams form when you assemble high-performing individuals with different skill sets and perspectives, and allow them to engage in rigorous and thoughtful inquiry. We want to work with exceptional people, and, to the extent that you excel, we want you to take on more responsibility and help all of us succeed. If this speaks to you, come join us!

Required Qualifications:

• Demonstrated experience shipping a product that has been actively used, regardless of tech stack or domain
• Full-stack engineering capability (Ruby on Rails and React/TypeScript preferred, though adaptability matters more)
• Ability to design and implement simple and elegant software solutions
• Strong communication and collaborative problem-solving abilities
• Ownership mentality and comfort with ambiguity
• Understanding of how software works at a fundamental level