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Neural Interface Engineer Jobs in Everett, WA (NOW HIRING)

Hive

Machine Learning Engineer

Seattle, WA · On-site

$120K - $180K/yr

... neural net models and launching these models into production. We value hard workers who have no ... Interface closely with the Backend and DevOps teams as well as with our internal data labeling ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

... neural net models and launching these models into production. We value hard workers who have no ... Interface closely with the Backend and DevOps teams as well as with our internal data labeling ...

Divensi

Full Stack Developer

Redmond, WA · On-site

Every engineer is involved in the entire software development lifecycle (SDLC), everything from ... interface or an API • Know best practices for web development and RESTful web services • ...

Divensi

Full Stack Developer

Redmond, WA · On-site

Data Science Business Intelligence and Data Warehousing Big Data Analytics Test Engineering UX & UI ... AI Bots, and Neural Networks Direct Client: Microsoft (no layers and no implementation partners ...

Armada

Director of Product, AI

Bellevue, WA · On-site

$261K - $273K/yr

Required : • Bachelor's degree in computer science, Engineering, or a related field (Master's or ... neural nets, deep learning, generative AI. • Strong B2B Enterprise experience, and experience ...

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All JobsNeural Interface Engineer JobsNeural Interface Engineer Jobs in Everett, WA

Neural Interface Engineer information

See Everett, WA salary details

$12.2K

$117.6K

$234.7K

How much do neural interface engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for neural interface engineer in Everett, WA is $117,572.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,300.00 and $226,500.00 per year, depending on experience, location, and employer.

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.

What are popular job titles related to Neural Interface Engineer jobs in Everett, WA?

For Neural Interface Engineer jobs in Everett, WA, the most frequently searched job titles are:

What job categories do people searching Neural Interface Engineer jobs in Everett, WA look for?

The top searched job categories for Neural Interface Engineer jobs in Everett, WA are:

Neural Interface Engineer jobs near you

Software Engineering Manager - Neural Interface ML Infra

Meta

Redmond, WA

$184K/yr

Full-time

Posted 5 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

138th of 245 rated software companies

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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