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:

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 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:

We build the electrical systems that make high-bandwidth brain–computer interfaces possible. This includes neural signal acquisition and stimulation to wireless power delivery, embedded processing, and system integration—all within devices small enough to be implanted in the human body and efficient enough to operate under strict thermal and power constraints. Our work sits at the intersection of analog, RF, digital, and biological systems. Many problems in this space do not present clean abstractions or clear failure modes. Success often depends on careful measurement, iteration, and engineering judgment across multiple interacting systems.

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

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

Team Description: 

The Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-machine interface applications. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future. 

Job Description & Responsibilities: 

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

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

Required Qualifications:

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

Preferred Qualifications: 

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

Team Description:

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

Tech Stack:

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

Focus:

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

Qualifications: 

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

Team Description:

The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. The team works closely with the PRIME clinical study patients which allows them fast and direct feedback about new features from users. The work in the team is multidisciplinary and team members have diverse backgrounds in software engineers, design engineering, ML engineering and neuro-engineering.

Job Description and Responsibilities:

As a Software Engineer in the BCI team, you will collaborate with our users, specifically clinical trial participants, to comprehend their requirements and engineer brain-computer interface software systems that deliver exceptional user experiences. You will take the lead in creating innovative applications, implementing new features, and resolving existing issues to enhance the overall functionality of the software.

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

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

Required Qualifications: 

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

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

Team Description:

At Neuralink, we're engineering the future of automated surgeries, focusing on the safe and effective implantation of our groundbreaking Neuralink implant. Our team — a cross-functional mix of roboticists, engineers from various disciplines, and medical professionals — collaborates on developing a surgical flow from first principles. In this critical role, you'll straddle the cutting-edge worlds of robotics, software, and neuroscience.

Job Description and Responsibilities:

This is a new and foundational role for our team that will allow you to create new embedded systems from scratch while challenging and refining the old. As a Firmware Engineer, your responsibilities will encompass:

• Developing and optimizing embedded software for robotic surgery applications
• Streamlining our codebase by refining and, when necessary, retiring legacy embedded software
• Rigorous testing and validation of software systems to meet the highest safety and reliability standards
• Participating in peer code reviews
• Writing drivers and applications to extend the functionality of our robotics
• Specifying hardware and software choices as we develop future hardware platforms
• Sharing your findings and progress with the team in a collaborative environment

Required Qualifications:

• Demonstrated track record of success in a science or engineering field, evidenced by outstanding projects, innovations, or advanced problem-solving
• Proven experience in software development, preferably with exposure to embedded systems

Preferred Qualifications:

Embedded Software Development:

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

Electrical Engineering:

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

Team Description:

The 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:

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:

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

Job Description and Responsibilities: 

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

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

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

Required Qualifications: 

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

Preferred Qualifications: 

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

Team Description: 

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:

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

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

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

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

Job Description and Responsibilities:

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

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

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

Required Qualifications: 

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

Team Description:

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

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

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

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

Team Description:

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

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

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

Job Description and Responsibilities:

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

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

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

Required Qualifications: 

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

Preferred Qualifications:

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

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

Team Description:

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

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

Job Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

• Prior experience developing software for safety-critical systems
  

About You:

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

Team Description:

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

Job Description and Responsibilities:

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

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

Required Qualifications:

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

Preferred Qualifications:

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

Expected Compensation:

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

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

Team Description:

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

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

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

Job Description and Responsibilities:

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

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

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

Required Qualifications: 

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

Team Description:

The Brain Interfaces Mechanical Engineering Team is responsible for the design, build, and testing of all mechanical systems in our implant and charger. Our team also develops test infrastructure to accelerate hardware development and manufacturing, designs electronics packaging for our charger and implant electronics, and creates tooling to interface the implant with the surgical robot.

Job Description and Responsibilities:

As a Mechanical Engineering Intern, you will support the design and production of hardware solutions for our brain-computer interface devices, including components for surgical robotics, automation, microfabrication, and more. You will have the opportunity to contribute to projects at various stages from concept through production, applying your mechanical engineering knowledge in the challenging field of brain-computer interfaces. Additionally, you will be expected to:

• Design, build, test, and validate systems for the implant and related hardware components
• Develop and improve manufacturing processes and equipment to support in-house production
• Scope, design and iterate custom tooling and fixturing required for the implant assembly line
• Work with Quality, Electrical Engineering, BCI Software, Microfabrication, and Surgery Engineering to define system requirements, verification and validation tests, and more
• Adhere to aggressive project schedules and ensure timely completion from inception to implementation

Required Qualifications:

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

Preferred Qualifications: 

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

Team Description:

The 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 Brain Interfaces Soc Department delivers chip architecture and silicon implementation of neural recording and stimulation system-on-chip (SoC) for high-bandwidth brain-computer interfaces. We have crafted a team of exceptional engineers whose mission is to push the frontiers of what is possible today and define the future.

Job Description and Responsibilities:

We are looking for experienced and hands-on engineers with a creative and initiative mindset, who are interested in exploring the next-generation chip design with advanced architectures and hardware accelerators with a goal of enhancing the energy efficiency, information entropy, and scalability of our wireless brain-computer interfaces towards the physical limit of silicon technology. The ideal candidates are energetic people who get excited about building things, are highly analytical, and enjoy tackling new problems. You will have the opportunity to collaborate closely with chip designers, electrical engineers, algorithms engineers, and software engineers on a small, agile team. As a Digital IC Design Engineer Intern, your responsibilities will include:

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

Required Qualifications:

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

Preferred Qualifications:

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

Expected Compensation:

The anticipated hourly rate for this position is listed below.

California Hourly Flat Rate:
$35/Hr USD

Team Description:

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