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Neural Interface Engineer Jobs in California (NOW HIRING)

OSI Engineering, Inc.

Lead Sensor Engineer

Palo Alto, CA · On-site

$300K - $400K/yr

Lead Sensors Engineer / Sensor Architect You'll own sensor architecture and sensing system ... neural interface platform. In this role, you will lead the development of the wearable sensing ...

Woven

Founding Electrical Engineer

San Francisco, CA · On-site

$170K - $200K/yr

Design and develop custom electronics for neural interfaces, including analog front‑ends, and ... Proficiency in embedded systems programming (C/C++) and embedded Linux development. * Experience ...

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Neural Interface Engineer information

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

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Infographic showing various Neural Interface Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Software Engineering Manager - Neural Interface ML Infra

Burlingame, CA

Meta
Internet and IT • 10K+ employees
Learn more about Metaexternal

$184K/yr

Full-time

Posted 26 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

Job description

Lead a team at the intersection of AI, distributed systems, and hardware architecture. The role drives ML model efficiency and scalability, infrastructure costs, and enables embedded AI capabilities. Directly supporting Meta's ability to train and serve AI models for wearable products.
Software Engineering Manager - Neural Interface ML Infra Responsibilities:
  • People Leadership: Build/retain an engineering team
  • provide coaching, mentorship, and performance management
  • Technical Leadership: Engage in design reviews, architecture decisions, and technical trade-offs
  • define technical vision with Tech Leads
  • Execution: Drive complex hardware-software co-design projects to completion
  • manage roadmaps, timelines, and risk mitigation
  • Cross-Functional Partnership: Collaborate with AI Infra, Hardware Engineering, Product, and Research
  • represent the team to leadership

Minimum Qualifications:
  • 3+ years managing software engineering teams with a track record of delivering measurable outcomes
  • Technical background in at least two of: AI/ML systems, distributed/HPC systems, software tooling and infrastructure or model optimization with GPUs/accelerators
  • Demonstrated ability to engage deep in technical work and guide decisions
  • Proven track record growing engineers
  • Experience communicating technical strategy and influencing cross-functional stakeholders through written proposals and presentations

Preferred Qualifications:
  • M.S. or Ph.D. in CS, EE, or related field
  • Prior Tech Lead, TLM, or IC experience before management
  • Experience building teams in ambiguous, exploratory domains
  • Track record of maintaining team engagement, retention, and consistent delivery outcomes
  • Experience managing AI infrastructure and capacity including GPU/CPU used for training, benchmarking and inference
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience with PyTorch, TensorFlow, or equivalent AI frameworks
  • Familiarity with AI compilers, high-performance kernel development, or hardware enablement
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Background in performance optimization/profiling
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$184,000/year to $257,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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