Team Description:

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems related to the implant and charger. Our projects involve electrical and mechanical test systems, custom jigs and fixtures used in manufacturing and assembly, electronics packaging, and tooling at the interface  between the implant and the surgical robot.

Job Description and Responsibilities:

As an Engineering Lab Manager, you will be instrumental in creating and maintaining an environment that empowers our engineering and manufacturing teams to innovate and deliver groundbreaking medical devices. You will go beyond managing equipment and facilities; you will be a key enabler of technical and operational success, ensuring that the lab spaces are designed for efficiency and collaboration. You will play a pivotal role in supporting the company’s growth by facilitating innovation, streamlining operations, and optimizing resource utilization. Additionally, you will be expected to:

• Collaborate with stakeholders in the design and optimization of spaces to meet the evolving needs of the engineering and manufacturing teams
• Continuously improve lab capabilities and operations by implementing new technologies, optimizing space for better workflow, or renovating existing facilities
• Maintain and manage inventory of all lab equipment, including tools, chemicals, and consumables
• Proactively implement maintenance strategies and deliver systems for lab organization and cleanliness as well as train users accordingly
• Build prototypes, run tests and experiments, and provide hands-on technical support to engineers, leveraging expertise in engineering, prototyping, and lab operations
• Ensure spaces comply with safety regulations and industry standards

Required Qualifications:

• Meticulous attention to detail and exceptional organizational skills
• Strong understanding of engineering principles and familiarity with R&D lab equipment
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams 
• Thrives in a fast-paced environment where flexibility and innovation are essential
• Hands-on experience with prototyping, testing, and lab operations

Preferred Qualifications:

• Knowledge of regulatory standards relevant to medical device development
• Experience with inventory management systems and quality control processes

Team Description:

Designing and building facilities and infrastructure is key to enabling Neuralink to scale. The EPC team is responsible for all aspects of engineering, procurement, and construction ranging from greenfield site developments to tenant improvements of our existing facilities. We regularly interface with cross-functional teams to identify their short- and long-term needs, plan, and deliver purpose-built spaces.This position requires an outgoing and highly organized mindset, an ability to perform at a high level on a consistent basis, a desire to work on multi-disciplinary projects, and an excitement to work at Neuralink!

Job Description and Responsibilities:

As part of the construction team, an EPC Engineer is responsible for ensuring that the output of Neuralink construction projects meets the technical requirements and specifications created during design development. When a challenge arises during construction, an EPC Engineer is expected to identify the roadblock, determine potential solutions, assemble stakeholders, and ensure that the solution is implemented as per design specifications or create a design that can be used to implement a solution. An EPC Engineer:

• Leads: 
• Inspections and quality control during construction
• Contractor scheduling to ensure projects meet deadlines
• Responding to or sourcing responses for RFIs related to constructability or deviations from construction drawings or manufacturer specifications
• Negotiating and managing contracts with vendors, contractors, consultants, and other third parties as needed
• Preparing purchase orders while following appropriate pricing and scope evaluations
• Reviewing and approving invoices for contractors and materials Neuralink sources
• Is a contributor to:
• Attending regular meetings between trades on site, and between contractors and the internal EPC team, in order to address technical construction questions
• Collaborating with architects, engineers, contractors, and other stakeholders to deliver constructable plansets
• Vetting and selecting contractors
• Understanding and implementing the processes of end users to ensure that their design intent is met in new construction or tenant improvements
• Generates:
• Construction review meetings and reports with internal stakeholders at major milestones during construction
• Quality control reviews and reports to document the quality of constructed items
• RFIs and Submittals for the design team to review and approve during construction projects

Required Qualifications:

• Bachelor’s degree in civil, mechanical, architectural or similar engineering discipline
• 3+ years of relevant experience

Preferred Qualifications:

• Experience in site civil design including grading, roadway, pavements, utilities, stormwater management plans (flood control and stormwater quality), erosion and sediment control plans, project sites with multi-users and modes of transportation, and industrial construction and operations
• Experience commissioning and startup of Mechanical and Electrical Equipment
• Has passed the FE exam or has the ability to pass it within 6 months of starting
• Experience with structural engineering, deep and shallow foundation designs, steel, concrete, and other building materials is preferred
• Experience managing external consultants and contractors through full scopes

Job 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, electrical, and building automation systems and are eager to expand their hands-on knowledge across a wide range of building operations. Success on this team requires strong collaboration, effective communication, the ability to prioritize, 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.

Qualifications

• High school diploma or equivalency certificate
• Valid driver’s license
• Ability to work all shifts and available for overtime, weekends and holidays as needed
• Lifting, standing, climbing, bending, grasping, sitting, pulling, pushing, stooping, stretching, and carrying are generally required to perform the functions of this position
• Ability to work at elevated heights, including the use of a ladder
• Ability to lift 50lbs

Responsibilities

• Perform routine building maintenance tasks to systems including HVAC, plumbing, electrical, and/or carpentry
• Follow standard operating procedures (SOP) or maintenance plans in order to perform preventative maintenance
• Conduct site-wide maintenance to our facilities, including painting, patching walls, replacing ceiling/flooring tiles, and carpet
• Aid janitorial and hospitality staff with general requests for support, including moving furniture, racks/equipment, disposing of garbage using forklifted dumpster bins, and set-up and tear down of special event areas
• Manage other site-wide operations and maintenance programs as assigned by facilities management
• Operate forklifts, scissor lifts, and boom lifts as needed
• Open, track, and resolve work orders on a CMMS
• Understanding and adherence to electrical and mechanical safety

Preferred Skills and Experience

• Experience in a professional trade that demonstrates a basic understanding of tools and their uses; ability to apply those fundamentals
• Ability to read and understand technical documentation
• Good written and verbal communication skills
• Willingness to learn and apply new skills
• Self-motivated, works well with others and autonomously

Texas Hourly Range: 

$20.67 - 30.10/hr USD

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:

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:

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 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 Intern, 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:

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 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

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.

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 Machine Shop team within Neuralink’s hardware organization is responsible for delivering ultra-precision mechanical components that go into our implants, surgical robots, electrode arrays, wireless chargers, and associated consumables. This includes CNC machining and rapid prototyping operations in a fast-paced, low-to-mid-volume, high-mix environment where every part must meet the stringent quality, biocompatibility, and reliability standards required for life-changing medical devices. Our team combines manufacturing expertise with rapid iteration to support both R&D prototypes and scalable production.

Job Description and Responsibilities:

As Machine Shop Operations Manager at Neuralink, you will lead day-to-day production operations of CNC machining and other rapid prototyping methods that support complex precision components for brain-computer interfaces, surgical tools, and implant hardware across our Austin, Texas and San Francisco, California facilities. This role blends operational oversight and execution with industrialization and manufacturing engineering to ensure that design execution, quality frameworks, and shop processes remain synchronized with the organization’s high-level objectives. This hands-on leadership role serves as the primary interface between the machine shop and cross-functional teams (Design Engineering, Manufacturing Engineering, Quality, Supply Chain, Finance), driving manufacturability and production readiness across our programs.The position will require frequent travel between machine shop sites (expectation monthly).

• Leading day-to-day operations and execution in our expanding CNC machine shop across two locations, including staffing, work assignments, and production prioritization
• Supervising CNC programmers/machinists, setup technicians, and machine operators to ensure safe, efficient, and high-quality execution
• Maintaining technical oversight of machining processes including setups, tooling strategy, and troubleshooting to ensure quality and efficiency
• Troubleshooting machining issues related to tooling, machine performance, workholding, dimensional variation, and downtime
• Ensuring all work adheres to technical drawings, controlled documentation, and medical-device traceability standards
• Driving shop performance through metrics-based monitoring of safety, quality, yield, and operational efficiency
• Maintaining readiness of machines, tooling, fixtures, gauges, and materials needed to support production
• Supporting hiring, onboarding, and skills development for machine shop personnel
• Partnering with Design Engineering, Manufacturing Engineering, Quality, Supply Chain and Production Leadership to drive end-to-end production readiness, ensuring processes, schedules, and resources meet business goals
• Supporting rapid prototyping and quick-turn machining operations to enable fast design iteration and aggressive development timelines
• Supporting early design for manufacturability (DFM) initiatives to allow designs to best be built for cost, quality, and scalability
• Driving process development and industrialization from prototype through production, including routing, cycle time, and process capability improvements
• Developing and managing capacity planning and capital equipment strategy aligned with product roadmap, executing against planned timelines and budgets
• Establishing and monitoring process capability (Cp/Cpk), yield, and first-pass quality metrics
• Implementing structured manufacturing practices such as PFMEA, control plans, and work instructions where appropriate
• Driving continuous improvement using Lean, root cause analysis (8D, 5-Why), and data-driven problem solving

Required Qualifications:

• Bachelor's degree in Industrial Engineering, Manufacturing Engineering, Operations Management, or a related technical field
• Minimum of 7+ years of experience in a manufacturing environment, with at least 3 years in a management or senior supervisory role overseeing production operations.
• Proven experience in manufacturing, industrialization, or operations engineering within a fast-paced production environment
• Ability to read and interpret blueprints, engineering drawings, GD&T, and process documentation
• Strong problem-solving, communication, and organizational skills
• Ability to lead in a fast-paced production environment with shifting priorities
• Ability to triage and prioritize shop issues and workloads, track key performance metrics, and develop and manage budgets
• Knowledge of precision manufacturing processes (e.g., CNC machining, EDM, or similar), with ability to engage technically without requiring deep hands-on machining expertise
• Willingness and ability to travel occasionally between the two locations

Preferred Qualifications:

• 5+ years of CNC machining and other rapid prototyping methodology experience in a production environment
• Experience in medical-device, aerospace, defense, or high-precision electromechanical manufacturing
• Familiarity with ISO 13485, ISO 10993, 21 CFR, traceability, and configuration control requirements
• Experience with multi-axis CNC mills, lathes, and secondary machining operations
• Experience with CAM programming and manufacturing software (Mastercam, ESPRIT, or equivalent)
• Experience with Siemens and FANUC controls
• Experience collaborating with CNC programmers and manufacturing engineers to optimize machining strategy, tooling, and process flow
• Experience machining medical/aerospace-grade materials such as titanium, stainless steel, aluminum, PEEK, and other biocompatible polymers
• Knowledge of lean manufacturing principles and continuous improvement methods
• Experience in low-volume, high-mix or prototype-to-production manufacturing environments
• Strong understanding of rapid prototype methodologies and experience balancing high-velocity R&D prototyping with production requirements

Team Description:

As part of the Surgery & Robot Hardware Department, the Surgical Consumables Team is responsible for producing a wide range of critical mechanical devices that enable our life-changing surgical procedures. Balancing immediate needs with long-term scalability, we drive innovation with precisely engineered tools that ensure safety, reliability, and high-quality surgical execution.

Job Description and Responsibilities:

We’re looking for a Manufacturing Engineer to help scale the manufacturing of consumables used in our robotic surgeries. These consumables include the Needle Cartridge (the end effector that inserts electrodes into the cortex) as well as other complex mechanical assemblies and surgical proxies, like the one being assembled here.

In this role, you will help expand our team’s capabilities by supporting the build-out of a new manufacturing site in Texas while sustaining production at existing sites. You’ll work hands-on to troubleshoot manufacturing issues, analyze data, improve processes, and design fixtures. You will collaborate closely with hardware designers, machinists, quality engineers, and the surgery team to ensure parts are built correctly, released on time, and delivered where they’re needed. 

You will contribute to technical solutions for complex manufacturing problems and help design processes that scale as production ramps. This role is well suited to someone who enjoys working closely with hardware, learning how products move from development to production, and operating in a fast-paced environment. The Manufacturing Engineer will:

• Support day-to-day production to meet consumables demand across the company
• Provide manufacturability input as products move into more mature lifecycle stages
• Design, test, and implement production fixtures, tooling, workstations, and assembly aids
• Troubleshoot manufacturing issues, perform root cause analysis, and implement corrective actions
• Support quality control activities in compliance with Design Control requirements, cGMP, FDA regulations, and internal policies
• Generate and maintain manufacturing documentation, including work instructions, Device Master Records (DMRs), and Design History Files (DHFs)
• Conduct risk assessments and support mitigation efforts to ensure product safety and reliability
• Drive continuous improvement efforts focused on yield, throughput, and process robustness

Required Qualifications:

• Strong interest in manufacturing small, safety-critical assemblies where precision and quality are paramount
• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Biomedical Engineering, or a related field, or equivalent experience
• 1+ year of experience in manufacturing engineering or engineering design
• Experience in Solidworks (preferred), OnShape, Creo, or an equivalent CAD program
• Demonstrated ability to execute on hardware-focused projects
• Hands-on experience physically building hardware (machining, fabrication, soldering, assembly, prototyping, etc.); personal projects are a plus
• A genuine interest in manufacturing and passion for learning

Preferred Qualifications:

• Experience working in a manufacturing environment
• Familiarity with ISO 13485, FDA 21 CFR Part 820, or other regulated manufacturing standards
  
  

Additional Requirements and Competencies:

• This role will initially require frequent travel to Fremont, CA, which is expected to decrease over time

Team Description:

The Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products.

Job Description and Responsibilities:

As a Manufacturing Engineer at Neuralink, you will be responsible for the design, development, and optimization of manufacturing processes and hardware from the ground up. This will include maintaining and supporting existing products and processes, troubleshooting failures, implementing updates, and ensuring long-term reliability. You will focus on creating efficient, scalable systems for producing brain interfaces, emphasizing innovation and quality assurance. Note that that ideal candidate is a mechanical engineer who loves to focus on manufacturing. Responsibilities will include:

• Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
• Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
• Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
• Identifying key vendors and developing/maintaining relationships to expand our capabilities
• Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
• Identifying and tackling manufacturing rate limiters and yield hitters
• Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
• Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
• Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
• Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
• Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies

Required Qualifications:

• Bachelor’s Degree in Mechanical Engineering or related field, or equivalent experience and ability
• 3+ years of mechanical engineering industry experience
• Strong grasp of engineering's first principles
• Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing 
• Proficiency in CAD (SolidWorks preferred)

Preferred Qualifications:

• Experience in the design and manufacturing of implantable electromechanical medical devices
• Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
• Experience scaling complex low to mid-volume production lines

Team Description:

As part of the Surgery & Robot Hardware, the Robot Manufacturing Team is responsible for producing and scaling the precisely engineered robotic systems and custom hardware that enable our life-changing surgical procedures. Balancing immediate production needs with long-term scalability, we drive manufacturing innovation to ensure the safety, reliability, and high-quality execution of every surgical implant.

Job Description and Responsibilities:

The Robot Manufacturing Intern will contribute directly to the production and scaling of Neuralink's advanced surgical robotic systems. This role provides hands-on experience in a fast-paced, high-precision manufacturing environment, focusing on developing processes, improving efficiency, and ensuring the quality and reliability of critical hardware used in our surgical procedures

• Manufacturing Process Support: Assist the team in the assembly, testing, and documentation of robotic components and systems.
• Process Improvement: Identify and implement improvements to existing manufacturing workflows to increase throughput, reduce errors, and enhance product quality.
• Documentation and Control: Help create and maintain detailed manufacturing work instructions, process flow diagrams, and standard operating procedures (SOPs) to ensure compliance with quality systems.
• Tooling and Fixture Design: Work on the design and fabrication of jigs, fixtures, and production aids to streamline assembly and inspection tasks.
• Quality Assurance: Perform in-process quality checks and contribute to failure analysis and root cause investigations for non-conforming materials or devices.
• Data Analysis: Collect, analyze, and report on manufacturing data to track key performance indicators (KPIs) and support data-driven decisions.

Required Qualifications:

• Currently pursuing a Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Biomedical Engineering, or a closely-related engineering field.
• Demonstrated passion and aptitude for hands-on technical work, manufacturing, or robotics, evidenced by relevant coursework, technical clubs, or personal projects.
• Strong foundational understanding of physics and mathematics relevant to engineering principles.
• Proven ability to be highly detail-oriented and organized in a high-precision environment.
• Excellent written and verbal communication skills for creating clear documentation and collaborating with a technical team.
• Must be able to commit to a full-time intern schedule.

Preferred Qualifications:

• Prior hands-on experience in a manufacturing or lab environment related to robotics or high-precision assembly
• Proficiency with SolidWorks or similar CAD software for designing production aids and tooling
• Familiarity with regulated environments (e.g., medical device, ISO 13485) and Quality Management Systems (QMS) documentation

Pay Transparency:

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

California Hourly Range: 

$25.00/hr USD

Team Description:

Implant technology and our ability to manufacture high-quality implants in volume at low cost are at the core of creating the future of brain-computer interfaces. The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing of all mechanical systems in our implant and charger. 

Job Description & Responsibilities:

As a Manufacturing Technician, you will be responsible for manufacturing our implants and accessories. The implanted device contains micron-scale electrode threads and an electronics assembly containing the battery, chips, and circuit boards. You will be engaged with many day-to-day responsibilities, including flip-chip bonding, part cleaning and preparation, electronics potting, mounting implants to the surgical mechanisms, as well as component and assembly-level testing of the electronics. Additional responsibilities include:

• Perform mechanical/electrical assembly of implant and charger components, subassemblies, and integration of final assemblies
• Build small implant subassemblies involving custom micron-scale electrode arrays and SoC with high precision
• Operate equipment, such as flip-chip bonders and laser welders
• Execute equipment maintenance and calibration
• Package final products for delivery
• Maintain parts inventory
• Run functional testing of built hardware, including setup, instrumentation, and test execution
• Ensure product quality and conformance to design requirements
• Keep a clean, organized, and thoroughly maintained workspace

Required Qualifications:

• High school diploma or equivalent
• Excellent verbal and written communication
• Resourceful, flexible, and adaptable; no task is too big or too small
• Strong self-discipline and integrity
• Ability to work reliably with small and delicate components where precision is critical
• Ability to maintain a clean and organized workspace
• Ability to follow strict SOPs, safety protocols and quality standards
• Ability to thrive in a dynamic and constantly changing environment
• Ability to work effectively in a team environment 
• Excellent attention to detail
• Basic familiarity with Google Suite (e.g., documents, spreadsheets, presentations)

Preferred Qualifications:

• Experience in a manufacturing environment
• Demonstrated ability to read, interpret, and work from drawings and work instructions
• Experience with small and delicate assemblies where precision is critical
• Demonstrated ability to visually detect defects and repair them in a fast-paced environment, and report them when necessary
• Demonstrated ability to use electronic tools and basic software to document, communicate, identify, and resolve quality issues and defects

Additional Requirements: 

• Ability to work within a cleanroom, including adhering to gowning and PPE requirements (e.g., masks) and spending long periods standing and walking
• Ability to lift and transfer up to 25 pounds
• Willing to work extended hours and weekends, as needed

Pay Transparency:

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.

Hourly Rate:
$25/hr - $31/hr

Team Description:

As part of the Surgery & Robot Hardware Department, the Surgical Consumables Team is responsible for producing a wide range of critical mechanical devices that enable our life-changing surgical procedures. Balancing immediate needs with long-term scalability, we drive innovation with precisely engineered tools that ensure safety, reliability, and high-quality surgical execution

Job Description and Responsibilities:

As a Manufacturing Technician at Neuralink, you will be responsible for manufacturing our surgical robot’s consumables, including the needle cartridge, which is a critical component used to insert the electrodes of our brain-computer interface device. Manufacturing the needle cartridge involves working with lasers, digital optics, lenses, sonication machines, welding machines, and pressurized air/gasses. You will work alongside the robotics mechanical engineering team to tackle mission-critical projects, by assembling production devices as well as prototypes for research and development. You'll also drive efforts like troubleshooting, data analysis, process improvement, and designing/building new fixtures. Your projects will immediately impact quality and rate of progress. Additionally, you will be expected to:

• Assemble a range of high-precision medical devices for both testing and final use
• Manage inventory, stockpiles, and order requests to facilitate studies and tests across the organization 
• Develop processes and procedures to improve quality, efficiency, and traceability 
• Work closely with hardware engineers to support testing and issue resolution

Required Qualifications:

• 2+ years of experience in a regulated manufacturing environment
• Strong desire to work with small, safety-critical assemblies where precision is critical and quality is paramount
• Solid understanding of basic physics and chemistry
• Resourceful, flexible, and adaptable; no task is too big or too small=

Preferred Qualifications:

• Experience with Qualification and Acceptance Testing
• Experience with production tools/best practices such as work orders, issue tracking, inventory management systems, Lean Manufacturing, and Six Sigma
• Experience supervising, leading, or mentoring a team
• Experience in a cleanroom environment

Additional Requirements and Competencies:

• This role will initially require frequent travel to Fremont, CA, which is expected to decrease over time

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.

Texas Hourly Range:
$26.44/Hr USD -- $40/Hr USD

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 Brain Interfaces Mechanical Engineering team is responsible for the mechanical and manufacturing systems related to our implant, microfabricated thin-film electrodes, wireless charger, and associated accessories. This includes product design, electronics packaging integration, manufacturing line and facility design, test infrastructure design, and related activities for these core products. 

Job Description and Responsibilities:

As a Mechanical Engineer at Neuralink, you will own the design and production of hardware solutions for our brain-computer interface devices. Projects will be highly varied, leveraging both breadth and depth of first principles in mechanical engineering, manufacturing engineering, and test engineering. You will collaborate closely with other engineers (e.g., electrical engineers, chip designers, software engineers, robotics engineers) as well as neuroscientists, neurosurgeons, clinicians, animal care specialists, and other industry experts. You may own a major product from early concept to production, while also diving deep into smaller but essential manufacturing problems to unblock production. Responsibilities will include:

• Exploring early device architectures and downselecting to drive design and company direction
• Scoping projects and requirements, large and small, to hit aggressive project schedules and ensure timely completion from inception to implementation
• Performing market research and gathering feedback from our users (e.g., patients, surgeons, animal care team) to inform product direction
• Detailed designing of 3D CAD and 2D drawings with a heavy focus on DFX, and integration onto the manufacturing line
• Rapid prototyping with existing technologies, and developing or sourcing expanded capabilities
• Identifying key vendors and developing/maintaining relationships to expand our capabilities
• Developing, maintaining, and executing test plans and electro-mechanical test systems for verification and validation of products ranging from components to sub-assemblies, full consumer electronics products, or production environments
• Identifying and tackling manufacturing rate limiters and yield hitters
• Working with data acquisition systems and control systems to continually improve in-test and in-process data recording and system useability
• Providing insight into the design of tooling and equipment from development to full-volume production including poka-yoke, controls, and standardization of componentry
• Developing requirements for, sourcing, and pitching major equipment purchases to expand manufacturing and test capabilities; becoming the subject matter expert for this equipment and training other engineers and technicians
• Developing knowledge of and implementing compliance with relevant federal regulations (e.g., GxP, 21 CFR) as they pertain to medical device design and manufacturing
• Writing and maintaining design and manufacturing documentation for internal reference and submission to regulatory bodies

Required Qualifications: 

• Bachelor’s Degree in Mechanical Engineering or related field, or equivalent experience and ability
• 5+ years of mechanical engineering industry experience, owning products from concept to production 
• Strong grasp of engineering's first principles
• Experience with DFX, conventional machining, rapid prototyping technologies, and precision design + manufacturing 
• Proficiency in CAD (SolidWorks preferred)

Preferred Qualifications: 

• Experience in the design and manufacturing of implantable electromechanical medical devices
• Knowledge of ISO 13485, ISO 10993, 21 CFR, and related standards
• Experience scaling complex low to mid-volume production lines

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:

The Preclinical Team is responsible for designing, conducting, documenting, analyzing, and reporting preclinical studies. Our team provides a means for ensuring the safe, effective, and robust implantation of Neuralink devices into animals and, ultimately, humans.

Job Description and Responsibilities:

The Study Coordinator provides critical operational and project management support to the Study Director in GLP-regulated preclinical studies for Neuralink devices. This role handles the majority of day-to-day coordination, scheduling, data compilation, and administrative tasks, enabling the Study Director to focus on scientific oversight, data interpretation, and regulatory compliance. The Study Coordinator acts as a key liaison across the preclinical team, technical staff, and cross-functional groups to ensure studies progress smoothly, on time, and in compliance with protocols and SOPs. The Study Coordinator will:

• Support the Study Director in developing study protocols, amendments, and related documentation.
• Facilitate cross-functional communication, establish and track study timelines, and prepare/lead study milestone meetings.
• Identify and help eliminate roadblocks that could delay study progress.
• Assist with implementation of test methods and practices described in the study protocol and SOPs.
• Help ensure all experimental data, including observations of unanticipated responses of the test system, are accurately recorded and verified.
• Manage the study schedule, alerting the Study Director and team to critical data collection points or deadlines.
• Support the documentation and addressing of self-reported or QAU-generated deviations that may affect study quality.
• Compile data, organize contributing scientist reports, and assist in preparing the final study report so it accurately reflects study results.
• Maintain organized study files, track communications, and support archiving of data, documentation, protocols, specimens, and reports per GLP.
• Coordinate day-to-day study activities with technical staff, veterinary teams, and external partners (e.g., CROs if applicable).
• Contribute to internal tracking systems, meeting minutes, and status updates for the Preclinical Team.

Required Qualifications:

• Bachelor’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Minimum 1 year of experience in preclinical research support, study coordination, or project management (academic experience applies).
• Solid understanding of GLP regulations (21 CFR Part 58), basic knowledge of ISO 10993, and familiarity with in vivo animal studies.
• Strong organizational and project management skills with proven ability to manage timelines and multiple priorities.
• Excellent attention to detail and proficiency in data compilation, documentation, and Microsoft Office (or equivalent) tools.
• Experience working in or supporting animal research facilities with IACUC protocols.

Preferred Qualifications:

• Master’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Direct experience with neural device implantation studies or neurosurgical models.
• Background in a CRO or medical device preclinical setting.
• Familiarity with electronic data capture systems or GLP-compliant documentation platforms.

Additional Requirements and Competencies:

• Willingness to work in an animal research facility environment (with required training and PPE).
• Flexibility in schedule to support critical study timepoints.

Team Description:

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems related to the implant and charger. Our projects involve electrical and mechanical test systems, custom jigs and fixtures, electronics packaging and tooling at the interface between the implant and the surgical robot.

Job Description and Responsibilities:

As our Prototype & Design Specialist, you will be instrumental in creating and maintaining an environment that enables our engineering and manufacturing teams to innovate and deliver groundbreaking medical devices. You will go beyond managing equipment and facilities; you will be a key enabler of technical and operational success, ensuring that the R&D lab spaces are designed for efficiency and collaboration. You will play a pivotal role in supporting the company’s growth by facilitating innovation, streamlining operations, and optimizing resource utilization. Additionally, you will be expected to:

• Engineering Lab Design and Operations:
• Design and build lab spaces to meet the evolving needs of the engineering and manufacturing teams
• Continuously improve lab capabilities and operations by implementing new technologies and optimizing space for faster and more efficient workflows
• Own and maintain inventory of all lab equipment, including tools, chemicals, and consumables
• Implement systems for lab organization and cleanliness, and train users accordingly
• Ensure spaces comply with safety regulations and industry standards
• Prototyping and Fabrication:
• Provide hands-on technical support to engineers and technicians by building prototypes, setting up stations and running tests 
• Utilize various fabrication methods, including additive and subtractive manufacturing, to produce high-quality prototype parts.
• Operate and maintain a range of machines and power/hand tools necessary for prototyping
• Manage multiple projects simultaneously, prioritizing tasks to meet tight deadlines and production schedules

Required Qualifications:

• Meticulous attention to detail and exceptional organizational skills
• Eye for aesthetic design and organization
• Familiarity with R&D lab equipment, tools and workflows
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams 
• Thrives in a fast-paced environment where flexibility and innovation are essential
• Hands-on experience with prototyping, model making, fabrication, testing, and lab operations
• Experience planning and building out labs and R&D workspaces

Preferred Qualifications:

• Previous experience in a prototyping environment
• Part design experience
• Experience programming and operating laser cutters, 3D printers, and CNC machines
• Knowledge of regulatory standards relevant to medical device development
• Experience with inventory management systems and quality control processes

Team Description:

The Brain Interfaces Team is responsible for the design, manufacturing, and testing of all systems related to the implant and charger. Our projects involve electrical and mechanical test systems, custom jigs and fixtures, electronics packaging and tooling at the interface between the implant and the surgical robot.

Job Description and Responsibilities:

As our Prototyping Lab Engineer & Manager, you will be instrumental in creating and maintaining an environment that enables our engineering and manufacturing teams to innovate and deliver groundbreaking medical devices. You will go beyond managing equipment and facilities; you will be a key enabler of technical and operational success, ensuring that the R&D lab spaces are designed for efficiency and collaboration. You will play a pivotal role in supporting the company’s growth by facilitating innovation, streamlining operations, and optimizing resource utilization. Additionally, you will be expected to:

• Engineering Lab Design and Operations:
• Design and build lab spaces to meet the evolving needs of the engineering and manufacturing teams
• Continuously improve lab capabilities and operations by implementing new technologies and optimizing space for faster and more efficient workflows
• Own and maintain inventory of all lab equipment, including tools, chemicals, and consumables
• Implement systems for lab organization and cleanliness, and train users accordingly
• Ensure spaces comply with safety regulations and industry standards
• Prototyping and Fabrication:
• Provide hands-on technical support to engineers and technicians by building prototypes, setting up stations and running tests 
• Utilize various fabrication methods, including additive and subtractive manufacturing, to produce high-quality prototype parts.
• Operate and maintain a range of machines and power/hand tools necessary for prototyping
• Manage multiple projects simultaneously, prioritizing tasks to meet tight deadlines and production schedules

Required Qualifications:

• Meticulous attention to detail and exceptional organizational skills
• Eye for aesthetic design and organization
• Familiarity with R&D lab equipment, tools and workflows
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams 
• Thrives in a fast-paced environment where flexibility and innovation are essential
• Hands-on experience with prototyping, model making, fabrication, testing, and lab operations
• Experience planning and building out labs and R&D workspaces

Preferred Qualifications:

• Previous experience in a prototyping environment
• Part design experience
• Experience programming and operating laser cutters, 3D printers, and CNC machines
• Knowledge of regulatory standards relevant to medical device development
• Experience with inventory management systems and quality control processes

Team Description:

Join our innovative Equipment Quality Team, a dynamic collective of experts dedicated to maintaining the precision and efficacy of high-tech equipment in preclinical and manufacturing domains. Engage with the latest in biomedical devices, industrial instrumentation, and high-end technologies like lasers and RF systems. As pioneers who've crafted a robust equipment program from scratch, we champion creative problem-solving and strive to set industry benchmarks. Immerse yourself in a mission-critical role that propels safety and regulatory compliance to new heights, and become part of a collaborative force driving the future of biomedical quality.

Job Description and Responsibilities:

Neuralink is seeking an Equipment Quality Technician with a strong knowledge of applied metrology. This technician will calibrate, repair, and perform preventative maintenance on equipment in the quality program. In addition, they will troubleshoot and repair instruments and systems. This role requires participation in cross-functional teams and some travel. Additionally, you will be expected to:

• Calibrate and perform preventive maintenance on any instrument or device in the equipment quality program with little to no supervision
• Provide the technical expertise for assisting management in developing work procedures and protocols
• Assist in the design, fabrication, check-out, start-up, and acceptance of new or modified equipment
• Determine and requisition parts required for maintenance repairs
• Adhere to cGxP guidelines, SOPs, and safety rules/regulations
• Assist management with determining work schedules and project costs
• Work closely with cross-functional team members  in regards to continuous improvement activities, solving problems, and improving overall product quality
• Explain calibration issues and processes to equipment custodians and management

Required Qualifications:

• Ability to comprehend and apply manuals and schematics for maintenance and troubleshooting
• Proficiency in using hand tools, physical/dimensional test instruments, and electronic test instruments
• Able to work in a dynamic, fast-paced environment
• Strong interpersonal skills: ability to work with colleagues and cross-functional teams in a professional and organized manner
• Competence in operating computing hardware and standard software
• Minimum of 1 year of experience related industrial instrumentation/calibration experience and/or training; or equivalent combination of education and experience
• Willingness to assist with other Quality Engineering activities such as facilities, equipment, and facilities validation

Preferred Qualifications:

• Experience in PMEL, TMDE, Metrology, Calibration, Instrumentation, Validation, or Biomedical Equipment
• Associates or Bachelors Degree in Science, Technology, Engineering, Mathematics or military training in calibration
• Relevant experience working in a highly regulated (e.g., GMP, GCP, GLP) environments

Team Description:

Join the Quality Systems Team, where our mission is to ensure compliance with applicable regulatory standards by designing scalable, efficient, and automation-driven systems. We focus on embedding compliance directly into engineering workflows rather than treating it as a manual or reactive function.

We are a team of industry-experienced professionals who apply systems thinking and creative problem-solving to build a durable compliance infrastructure that supports rapid development. Our vision is to establish internal design and quality systems that exceed FDA expectations while enabling fast iteration and deployment of complex, safety-critical software products.

Job Description and Responsibilities:

As a Quality Systems Engineer (dedicated towards Design Controls), your primary responsibility will be to design, implement, and continuously improve software-focused design control systems with regulatory compliance embedded into their architecture.

You will build systems that eliminate ambiguity, reduce manual effort, and enable rapid and reliable development of regulated medical device software. These systems will support the full software lifecycle, from requirements definition through verification, validation, risk management, and release.

You will continuously optimize these systems to improve speed, traceability, and audit readiness while supporting aggressive development timelines and frequent design changes. Your responsibilities include, but are not limited to:

• Design and implement scalable software design controls systems aligned with IEC 62304 and FDA design control requirements (21 CFR 820.30)
• Develop and maintain end-to-end traceability frameworks linking:
• User needs
• Software requirements
• Risk controls
• Design outputs (code, architecture)
• Verification and validation evidence
• Integrate software risk management into design controls, ensuring alignment with ISO 14971 principles
• Build change control mechanisms capable of supporting:
• Rapid iteration
• Parallel development
• Same-day deployment
• Partner closely with software engineering teams to embed:
• Compliance with CI/CD pipelines
• Automated evidence generation
• Controlled release processes
• Own subsets of the Quality System related to software design controls, including but not limited to:
• Software Design Control processes
• Software Risk Management
• Software Change Control
• Software Verification & Validation traceability

Required Qualifications: 

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field
• Demonstrated experience designing or maintaining structured engineering or compliance systems
• Familiarity with software development lifecycles in regulated or safety-critical environments
• Working knowledge of:
• Design Controls
• Software requirements management
• Proficiency in basic scripting, automation, or querying (e.g., Python, SQL, or equivalent)
• Excellent written and verbal communication skills
• Strong problem-solving mindset with the ability to think in systems rather than silos

Preferred Qualifications:

• Familiarity with IEC 62304 (Medical Device Software Lifecycle Processes)
• Familiarity with FDA Design Controls (21 CFR 820.30)
• Familiarity with Design Risk Management (ISO 14971 principles)
• 1–3 years of experience in:
  • Design Controls
  • Software Quality
  • Regulated software development

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 Robot Optics Team is passionate about shaping the future of operating rooms. We are responsible for all optical engineering aspects of Neuralink surgeries, including working on our surgical robotics, supporting operating room equipment, and manufacturing custom consumables. The core device we work on is the robotic system that performs implant insertions. Key subsystems include 2D and 3D machine vision cameras, optical coherence tomography, and surgical site illuminators.

Our team oversees the entire product lifecycle of all optical subsystems across multiple robot versions, from ideation and design through production, testing, and maintenance. We also design hardware for producing and inspecting consumables, such as laser-machined needle cartridges. As we manufacture a significant portion of our hardware in-house, our core activities include bring-up testing, designing hardware acceptance testers, and overseeing manufacturing processes. 

Job Description and Responsibilities:

As a Robot Optics Intern at Neuralink, you will build, characterize, and calibrate optical and optomechanical systems used directly in our surgical robots and associated consumables manufacturing systems. These systems are responsible for everything from sub-micron conventional imaging to laser scanning imaging to non-imaging optical power delivery. In this role, you will be expected to:

• Design and simulate optical imaging systems
• Test, verify, and maintain vision systems in robots
• Repair and troubleshoot existing optical subassemblies
• Test and verify optics consumables
• Develop image acquisition and processing software
• Conduct preliminary tests of new imaging technologies for robotic surgeries
• Collaborate with engineering teams to evaluate and implement process improvements
• Prepare relevant documentation and standard operating procedures (SOPs) for robot optics

Required Qualifications:

• Familiarity with basic optics fundamentals such as aberrations, transmission/reflection, light polarization, Gaussian beams, etc.
• Experience with visible and IR optical equipment (e.g., fiber splicers, light sources, beam profilers, power meters, resolution targets)
• 1+ years of optical engineering experience, including simulation and design of optics in Zemax or equivalent software
• 1+ years of relevant industrial experience with assembly, precision alignment, and integration of complex optomechanical systems
• 1+ years of experience with benchtop testing, performance characterization, and metrology benchmarking of optical systems
• Experience documenting and following procedures in the optical design pipeline (e.g., assembly, characterization, verification) with a high level of detail

Preferred Qualifications:

• Strong understanding of engineering first principles
• Education in an engineering-related field
• Experience with data analysis and image processing
• Experience with optics alignment and optics bench testing
• Experience with fiber optics fabrication
• Mechanical engineering and CAD skills
• Experience with optical simulation and design software (e.g., Zemax, CodeV, OSLO, LightTools)
  

Additional Requirements and Competencies:

• Ability to travel to and work in Fremont, CA
• Basic computer skills and proficiency in Google Docs, Google Drive, and Gmail
• Software engineering experience in developing scripts for instrument testing
• Comfortable working in laboratory and vivarium environments as needed

Team Description:

The Robot Reliability and Test Team is directly responsible for ensuring the surgical robot and its subassemblies are rigorously tested during both the design and production cycles. The team designs testing infrastructure, writes and provides guidance on test descriptions and outputs, and ensures the surgical robot is reliable and ready for use in human surgeries. Providing safe, effective, and smooth surgical procedures allows Neuralink to move at a rapid pace and reach more individuals who need this life-changing technology.

Job Description and Responsibilities:

As a Test Engineer, you’ll be responsible for transforming our surgical robot from an experimental medical device to a robust system capable of doing tens of thousands of surgeries. We’re looking for engineers with experience designing complex hardware systems, developing tests and fixtures to validate hardware, or debugging complex systems (or all three!). You will identify and resolve key reliability issues while designing and implementing test infrastructure to enhance the robot's engineering development and validation as well as the reliability of both the robot and its associated surgical tools. Furthermore, you will be expected to:

• Drive resolution and preventative actions for non-conforming robots
• Provide guidance on design controls and transfer processes
• Analyze data trends and debug hardware & software failures
• Define maintenance and calibration schedules

If you’re excited about solving new problems every day, or if you are passionate about test and fixture design, we would love to hear from you!

Required Qualifications:

• Bachelor’s Degree in mechanical/electrical engineering, or equivalent in experience and ability
• 1+ years of engineering experience in testing and making systems reliable (whether that's in school clubs or industry)
• Strong understanding of engineering first principles

Preferred Qualifications:

• Experience designing hardware in the loop test systems
• Proficiency interfacing with sensors, motors, etc.
• Coding experience in Python

Team Description:

The EPC team is responsible for all aspects of engineering, procurement, and construction ranging from greenfield site developments to tenant improvements at existing facilities at Neuralink. We regularly interface with cross-functional teams to identify their short and long term needs and provide purpose-built spaces for the future growth of our research and engineering teams.

We are looking for high-energy individuals who are comfortable working in a rapidly changing environment, who like to promote a culture of teamwork and clear honest communication, and have a genuine passion for design and construction. This position requires a highly organized mindset, an ability to perform at a high level on a consistent basis, a desire to work on multi-disciplinary projects, and an excitement to work at Neuralink!

Job Description and Responsibilities:

As a part of the design team, the senior mechanical engineer will create and optimize facilities by bringing conceptual designs to life, producing cutting-edge detailed designs of HVAC, hydronic (chilled water and heating water), plumbing, and process utility systems that are fully integrated with facilities and manufacturing processes. Work includes design of new construction and upgrades and alterations to existing facilities and infrastructure. This position supports construction, facilities, and cross-functional departments in ensuring optimally designed infrastructure systems to support all company functions.

• Scope, create conceptual designs, and produce final designs for a variety of project types for our offices, laboratory, clean room, manufacturing facility, warehouse, data center, vivarium, and animal care facilities
• Create high-quality BIM (REVIT) models, engineering drawings, and one-line diagrams for all mechanical, plumbing, and process systems
• Design HVAC, hydronic, plumbing, and process utility systems that are code-compliant, cost-effective, and to meet quality and schedule requirements.
• Build full construction drawing packages that include details, specifications, and sequences of operations
• Produce BAS and DDC controls documents, scopes of work, and vendor quotes
• Develop specifications, data sheets, and procurement RFPs for long lead mechanical and plumbing equipment
• Utilize relevant codes to ensure designs are code-compliant based on location-specific AHJ requirements
• Actively lead collaborative design efforts that include interfacing with architects and engineers across multiple disciplines
• Interface with the Neuralink construction team for constructability reviews
• Generate high-level cost estimates with material takeoff information
• Review and respond to contractor-generated RFIs and submittals

Required Qualifications: 

• Bachelor’s degree in mechanical engineering
• 5+ years of mechanical engineering industry experience
• Evidence of exceptional ability
• Professional Engineering License: Current possession of a Texas and/or California license, or the ability to obtain a Texas and/or California license within six months
• Expert Knowledge of AutoCAD and/or REVIT MEP
• Experience designing a cleanroom

Preferred Qualifications: 

• Experience in designing offices, laboratories, manufacturing facilities, and in the development of site infrastructure
• Working knowledge of industry software, such as Microsoft products, COMcheck, Carrier HAP, Trane Trace, Navisworks, and Bluebeam
  

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 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:

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 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:

Join the Brain Interfaces Software Team and be part of a team of remarkable and driven engineers accelerating our pathway to human ready brain-computer interfaces. We are a small, but fast-moving team that collaborates with other exceptional teams of mechanical, electrical, and firmware engineers.

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 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 & Responsibilities:

We are looking for a versatile Software Engineer who is passionate about architecting and implementing elegant software solutions and thrives with autonomy to propose creative approaches to problems. You will be responsible for writing software to interact with Neuralink’s implant, as well as building systems for manufacturing and testing the device. Additionally, you will be expected to:

• Develop and improve Neuralink’s implant manufacturing line acceptance software and station
• Develop and improve Neuralink's implant design verification testing software
• Optimize and maintain Neuralink’s implant software build infrastructure
• Develop and improve Neuralink’s implant SDK

Required Qualifications:

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

Additional Requirements and Competencies:

• 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 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.

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:

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 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 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

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:

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 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 Surgery Engineering team is responsible for developing and managing custom hardware and processes for neurosurgical procedures, excluding the R1 Robot and Operator Station. Their responsibilities encompass the entire surgical process, including patient positioning, incision, craniectomy, precise implant placement, robotic thread insertion success, surgical site irrigation, implant installation, and closure. Additionally, the team ensures safe explantation and upgrade procedures for implants. They also provide mechanical engineering support to the animal care, histology, and BCI teams, contributing to the success of complex neurosurgical procedures and related research activities.

Job Description and Responsibilities:

You will design hardware and processes for use in human neurosurgery. Responsibilities include:

• Design ownership from clean sheet through production
• Verification and validation testing
• Root cause analysis and implementation of corrective actions
• Surgical process optimization
• Technical writing for regulatory approval

Required Qualifications:

• Bachelor's Degree in Mechanical Engineering or equivalent experience
• 3-10 years of mechanical design experience, including internships

Preferred Qualifications:

• Master's Degree in Mechanical Engineering
• Class III Medical Device experience or familiarity with operating rooms
• Machining experience
• Industrial engineering experience
• Industrial design experience

Additional Requirements and Competencies:

• Some work-related travel will be required

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++

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 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 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:

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 critical  in translating Neuralink’s BCI technology for clinical use!

Job Description and Responsibilities:

As a Clinical Program Manager, you will be the primary architect of Neuralink’s human clinical trial operations, transforming high-level strategy into rigorous, executable clinical programs. We are seeking a high-autonomy leader who thrives on ambiguity and drives projects to completion with surgical precision. In our hyper-dynamic environment, you aren't just managing timelines—you are building the infrastructure for the future of neurotechnology. You will be expected to:

Strategic Oversight & Relationship Management

• Act as the Principal Lead for complex clinical programs, owning end-to-end delivery and ensuring all milestones align with broader organizational objectives.
• Cultivate High-Stakes Partnerships across internal engineering and regulatory teams, as well as external vendors, strategic partners, and world-class clinical research sites.
• Champion Stakeholder Readiness by overseeing the training and credentialing of cross-functional teams, ensuring every contributor is equipped to operate within the trial’s rigorous requirements.

Operational Excellence & Scalability

• Engineer Scalable Frameworks to expand clinical operations across diverse global geographies, prioritizing safety, quality, and regulatory compliance at every inflection point.
• Lead Commercial & Financial Negotiations with trial sites, driving contract execution, budget optimization, and long-term financial planning to maximize trial efficiency without compromising site engagement.
• Drive Data Intelligence by leading the synthesis and analysis of clinical data to provide actionable insights for program refinement.

Compliance & Regulatory Stewardship

• Navigate Global Regulatory Landscapes to secure study approvals and maintain impeccable standing with Institutional Review Boards (IRB), Research Ethics Committees (REC), and relevant governing bodies.
• Enforce Rigorous Quality Standards, maintaining an expert-level command of Good Clinical Practices (GCP), international regulatory requirements, and site-specific Standard Operating Procedures (SOPs).
• Foster a Culture of Accountability, proactively identifying operational risks and implementing mitigation strategies to ensure the integrity of the clinical program.

Required Qualifications: 

Strategic Leadership & Clinical Expertise

• Extensive Industry Tenure: 7+ years of progressive leadership experience in clinical research, specifically within Class III medical devices, neurology, or high-complexity life sciences.
• Clinical Architecture: Advanced proficiency in clinical study design, endpoint selection, and the development of robust data analysis plans for first-in-human or pivotal trials.
• Regulatory Mastery: Deep technical knowledge of Global Good Clinical Practice (GCP) and international regulatory standards (e.g., ISO 14155, MDR, FDA 21 CFR Part 812).

Data Intelligence & Analytical Rigor

• Quantitative Fluency: Professional experience leveraging statistical methods or programming languages (Python, R) to drive data-led decision-making and trial optimization.
• Complex Problem Solving: Proven track record of interpreting multi-dimensional datasets and translating complex scientific findings into executive-level strategy.
• Meticulous Precision: A high-level of organizational rigor with the ability to manage competing high-priority workstreams in a fast-paced, high-stakes environment.

Communication & Interdisciplinary Integration

• Cross-Functional Catalyst: Demonstrated success leading integration between neural engineering, clinical neurosurgery, and regulatory affairs to achieve unified program goals.
• Scientific Diplomacy: Exceptional written and verbal communication skills, with the ability to distill complex technical and clinical concepts for diverse audiences, from internal engineers to external ethics committees.
• Operational Autonomy: A self-starting leader who initiates critical workstreams independently and maintains a relentless focus on deadline accuracy and operational efficiency.

Mission-Critical Mindset

• High-Stakes Resilience: A documented history of thriving in high-pressure, rapidly evolving environments where pivots are frequent and the margin for error is razor-thin.
• Advocacy & Influence: Strong presence and "scientific diplomacy" skills, with the ability to represent Neuralink’s clinical vision to world-class neurosurgeons, key opinion leaders (KOLs), and global health authorities

Preferred Qualifications: 

Advanced Academic & Technical Background

• Advanced Degree: PhD, MD, or Master’s degree in a relevant field (e.g., Neuroscience, Biomedical Engineering, Clinical Research, or Biological Sciences).
• Neurotech Specialization: Direct experience managing clinical trials for Class III active implantable medical devices (AIMDs), specifically Brain-Computer Interfaces (BCI) or Neuromodulation systems.
• Computational Fluency: Advanced proficiency in Python or R for automated data visualization, clinical dashboarding, or sophisticated statistical modeling.

Strategic Clinical Leadership

• First-in-Human (FIH) Mastery: Proven success in leading Early Feasibility Studies (EFS) and navigating the unique safety and ethical rigors of pioneering human trials.
• Global Expansion Experience: Experience scaling clinical operations across international jurisdictions, including familiarity with O-US regulatory bodies and localized clinical trial infrastructure.
• Financial Stewardship: Demonstrated expertise in multi-million dollar budget management, including sophisticated resource allocation and vendor contract optimization.

Innovation & Process Design

• Clinical Systems Architecture: Experience implementing and optimizing Clinical Trial Management Systems (CTMS), Electronic Data Capture (EDC), and eTMF platforms for high-growth environments.
• Agile Clinical Operations: Ability to apply "lean" or "agile" methodologies to clinical trial workflows, reducing cycle times while maintaining absolute compliance.
• Interdisciplinary Synthesis: A rare ability to translate high-level engineering specifications into clinical protocols that are both scientifically rigorous and operationally feasible for surgical teams.

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 Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

Team Description:

Join the Quality Systems Team, where our mission is to ensure compliance with applicable regulatory standards by designing scalable, efficient, and automation-driven systems. We focus on embedding compliance directly into engineering workflows rather than treating it as a manual or reactive function.

We are a team of industry-experienced professionals who apply systems thinking and creative problem-solving to build a durable compliance infrastructure that supports rapid development. Our vision is to establish internal design and quality systems that exceed FDA expectations while enabling fast iteration and deployment of complex, safety-critical software products.

Job Description and Responsibilities:

Please note, this is a duplicate posting for the "Quality Systems Engineer" role. We are testing titling to see which attracts the most qualified candidates. Please only apply to one of the postings. 

As a Design Controls Engineer, your primary responsibility will be to design, implement, and continuously improve software-focused design control systems with regulatory compliance embedded into their architecture.

You will build systems that eliminate ambiguity, reduce manual effort, and enable rapid and reliable development of regulated medical device software. These systems will support the full software lifecycle, from requirements definition through verification, validation, risk management, and release.

You will continuously optimize these systems to improve speed, traceability, and audit readiness while supporting aggressive development timelines and frequent design changes. Your responsibilities include, but are not limited to:

• Design and implement scalable software design controls systems aligned with IEC 62304 and FDA design control requirements (21 CFR 820.30)
• Develop and maintain end-to-end traceability frameworks linking:
• User needs
• Software requirements
• Risk controls
• Design outputs (code, architecture)
• Verification and validation evidence
• Integrate software risk management into design controls, ensuring alignment with ISO 14971 principles
• Build change control mechanisms capable of supporting:
• Rapid iteration
• Parallel development
• Same-day deployment
• Partner closely with software engineering teams to embed:
• Compliance with CI/CD pipelines
• Automated evidence generation
• Controlled release processes
• Own subsets of the Quality System related to software design controls, including but not limited to:
• Software Design Control processes
• Software Risk Management
• Software Change Control
• Software Verification & Validation traceability

Required Qualifications: 

• Bachelor’s degree in Electrical Engineering, Computer Science, or a related technical field
• Demonstrated experience designing or maintaining structured engineering or compliance systems
• Familiarity with software development lifecycles in regulated or safety-critical environments
• Working knowledge of:
• Design Controls
• Software requirements management
• Proficiency in basic scripting, automation, or querying (e.g., Python, SQL, or equivalent)
• Excellent written and verbal communication skills
• Strong problem-solving mindset with the ability to think in systems rather than silos

Preferred Qualifications:

• Familiarity with IEC 62304 (Medical Device Software Lifecycle Processes)
• Familiarity with FDA Design Controls (21 CFR 820.30)
• Familiarity with Design Risk Management (ISO 14971 principles)
• 1–3 years of experience in:
  • Design Controls
  • Software Quality
  • Regulated software development