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Neural Interface Engineer Jobs (NOW HIRING)

Neuralink

Machine Learning Engineer

Austin, TX

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... You will have access to the most cutting-edge neural interface hardware and develop ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

About the Role: Engineers on the BCI team utilize signal processing and machine learning to ... You will have access to the most cutting-edge neural interface hardware and develop ...

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$212.5K

How much do neural interface engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for neural interface engineer in the United States is $106,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $205,000.00 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.

More about Neural Interface Engineer jobs
What cities are hiring for Neural Interface Engineer jobs? Cities with the most Neural Interface Engineer job openings:
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Neural Interface Engineer jobs near you
Infographic showing various Neural Interface Engineer job openings in the United States as of June 2026, with employment types broken down into 7% Internship, 41% Full Time, 11% Part Time, 6% Temporary, 32% Contract, and 3% Nights. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $106,432 per year, or $51.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Neuralink

Austin, TX

Other

Posted 13 days ago

Job description

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

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