Jobs at Neuralink

Design, prototype, build, and ship novel computing interfaces for brain-computer interfaces. Collaborate with study participants and experts in neuroscience, machine learning, and implant engineering to refine interface precision, fluidity, and usability. The role requires end-to-end product design, rapid prototyping, implementation, and iterative testing within technical and neural constraints.

Designs and coordinates mechanical systems for campuses and facilities, producing code-compliant plans and 3D models. Leads design development, BIM coordination, permitting, construction documentation, bid packages, submittal and RFI reviews, constructability assessments, and field walks. Collaborates with engineering, architecture, construction, contractors, and company leadership across office, laboratory, cleanroom, manufacturing, warehouse, data center, vivarium, healthcare, and animal care projects.

Own end-to-end software projects for Neuralink’s centralized data platform, including requirements gathering, architecture, full-stack development, data engineering, testing, and deployment. Collaborate with neuroscientists and multidisciplinary engineering teams to build tools for neural data, histology, manufacturing, and experimentation. Lead projects, conduct design and code reviews, iteratively improve MVPs, and deliver polished user experiences in ambiguous, rapidly changing environments.

Own end-to-end simulation for Neuralink’s surgical robot, including dynamics, sensors, actuators, interfaces, automated testing, fault injection, deterministic CI runs, and hardware failure reproduction. Test real robot software and firmware against simulated hardware, debug integration failures, and iterate with users. The role requires strong Rust and Python skills, robotics or physics simulation experience, concurrent systems knowledge, hardware interfaces, RPC, telemetry, and integration testing expertise.

As a Software Engineer, collaborate with clinical trial participants to develop and enhance brain-computer interface software systems, leading application creation and feature implementation.

Administer and optimize SOLIDWORKS and PDM infrastructure for mechanical engineering teams. Build CAD automation and CI workflows, integrate PDM with design-control and manufacturing systems, automate BOMs and build routes, secure on-premise equipment, support 3D printing and machine-shop tooling, and establish company-wide CAD and tooling standards.

Provide day-to-day end-user IT support and endpoint management across macOS, Windows, and Linux. Administer MDM and IAM/IDP systems, enforce security and HIPAA/PII compliance, manage SaaS apps and hardware inventory, perform L1/L2 network troubleshooting, and automate IT tasks via scripting. Maintain documentation and support a diverse user base in a fast-paced production environment.

Designs, builds, and operates data center, server, storage, HPC, and GPU infrastructure. Responsibilities include hardware procurement and lifecycle management, power and cooling design, bare-metal provisioning, automation, Linux and Windows administration, monitoring, capacity planning, maintenance coordination, incident response, compliance, and technical documentation. The role requires hands-on work across both data center operations and infrastructure engineering, including 24/7 on-call readiness.

Build and operate a robotic test fleet for Neuralink’s surgical robots. Develop component test rigs, fixtures, sensing, logging, and automated verification and validation workflows. Diagnose failures across mechanics, electronics, firmware, and software; collaborate with simulation and HIL engineers; and convert failures into repeatable regression tests. The role requires hands-on robotics experience, hardware troubleshooting, test automation, instrumentation, and disciplined evidence-based release judgment.

Own Neuralink’s robot Hardware-in-the-Loop test system, including automated integration, timing, fault, and bring-up testing. Build CI pipelines combining software-in-the-loop, HIL, and hardware acceptance tests with reproducible logs and traces. Define coverage and release criteria, debug failures across software and firmware, reproduce escaped defects, and close verification gaps for surgical robots.

The Software Engineer Intern will develop and validate brain-computer interface software, collaborate with users, and implement new features.

Own EMC compliance strategy, testing, debugging, and documentation for implantable electronics, surgical robots, wireless charging systems, and manufacturing equipment. The role develops test capabilities, leads pre-compliance and formal testing, investigates failures, defines design mitigations, manages ESD controls, and partners with engineering, quality, regulatory teams, and certification laboratories. Responsibilities also include maintaining protocols, reports, risk assessments, traceability, and regulatory submission data while promoting EMC-by-design practices.

Source, interview, and manage pipelines for technical, clinical, and other roles. Partner with hiring managers on requisitions, hiring strategies, interview feedback, and candidate evaluation. Develop sourcing and engagement strategies, identify exceptional talent, provide recruiting metrics and insights, drive process improvements, and build strong relationships across Neuralink’s hiring teams and talent networks.

As an Embedded Software Engineer, you will develop firmware for brain-computer interfaces, collaborating cross-functionally on safety-critical embedded systems and delivering manufacturable solutions.

Design and implement micro-architecture and RTL for low-power DSPs and hardware accelerators, optimize hardware/software interfaces, model and profile energy/performance trade-offs, collaborate on silicon bring-up and verification, and develop emulation models and test environments.

The Software Engineer Intern will develop safety-critical software for robotic systems, collaborating with various engineering teams to ensure functionality and reliability.

The Digital IC Design Engineer will develop micro-architecture and RTL for low-power processors and hardware accelerators in brain-computer interfaces, collaborating with teams on optimization and testing.

Develop machine learning models for brain-computer interfaces, focusing on decoding neural data and signal processing for improved user interaction.

Design and produce hardware solutions for brain-computer interface devices, manage projects, collaborate with engineers and industry experts, and ensure compliance with regulations.

As a Software Engineer Intern, you will develop software solutions, data platforms, and lab systems, focusing on improving user experience and productivity.