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Neural Engineering Jobs in Berkeley, CA (NOW HIRING)

roamlabs

Staff Engineer, Neural Rendering

San Francisco, CA · On-site

$300 - $500/hr

# Staff Engineer, Neural RenderingShip the production neural rendering and reconstruction pipeline ... Set engineering practices for the perception org.## Qualifications* Staff-level experience shipping ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

Waabi

Research Engineer, Neural Rendering

San Francisco, CA · On-site +1

$134K - $235K/yr

To learn more visit: www.waabi.ai As a Research Engineer in Neural Rendering, you will create the ... engineering fundamentals. You write efficient and maintainable code in Python and PyTorch, as well ...

Neuralink

Software Engineer, Next Gen

Austin, TX

Designing user experiences centered around neural control of devices * Mentoring others in achieving engineering excellence through code review, design review, and technical presentations

Neuralink

Software Engineer, Next Gen

Austin, TX · On-site

$151K - $281K/yr

Designing user experiences centered around neural control of devices * Mentoring others in achieving engineering excellence through code review, design review, and technical presentations

Oura

Senior Algorithm Scientist

San Francisco, CA · On-site

$107K - $147K/yr

PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field * 3+ years of ...

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How much do neural engineering jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for neural engineering in Berkeley, CA is $23.65, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $25.62 per hour, depending on experience, location, and employer.

What is neural engineering?

Neural engineering is a multidisciplinary field that combines engineering, neuroscience, and computational approaches to understand, repair, enhance, or interface with the nervous system. Neural engineers develop devices such as brain-computer interfaces, neural prosthetics, and neurostimulation systems to restore or improve neural function. This field plays an important role in advancing treatments for neurological disorders and in creating technologies that bridge the gap between machines and the human brain.

What are jobs in neural engineering?

Jobs in neural engineering focus on helping research and design biomedical devices like prosthetic limbs and artificial organs. In these roles, you may determine the best way to implement designs for each situation, figure out the best way to link mechanical systems to the human brain, and find the most cost-effective ways to build devices. Neural engineering differs from engineering regular prosthetic limbs in that they receive instructions directly from the brain and often send information back, rather than simply being attached to the body. This often involves programming specialized software and figuring out how to make devices that can teach the brain how to use them. In recent years, neural engineering has started to move out of the medical realm, and there may be more jobs of that nature in the future. Neural engineering is a specific type of biomedical engineering, but should not be confused with jobs in the broader category.

What are the key skills and qualifications needed to thrive as a neural engineer, and why are they important?

To thrive as a Neural Engineer, you need a strong background in neuroscience, biomedical engineering, and signal processing, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as MATLAB or Python), neuroimaging tools, and hardware platforms used for neural interfacing is essential. Excellent problem-solving skills, collaboration, and clear communication set standout professionals apart in this multidisciplinary environment. These skills are crucial for developing innovative neural technologies and translating research into effective clinical or commercial solutions.

What are some common interdisciplinary challenges faced by neural engineers when collaborating with clinicians and data scientists?

Neural engineers frequently work on teams that include clinicians, data scientists, and hardware specialists, which can present unique interdisciplinary challenges. Effective communication is essential, as team members often have different technical backgrounds and priorities—clinicians focus on patient outcomes, while data scientists emphasize analytical accuracy. Bridging the gap between clinical needs and technical feasibility requires adaptability, openness to feedback, and a willingness to learn new concepts. Building strong collaborative relationships and participating in regular cross-functional meetings can help ensure that project goals are clearly understood and met by all stakeholders.

How much do neural engineers make?

Neural engineers typically earn a median annual salary of around $80,000 to $120,000, depending on experience, education, and location. Advanced skills in neurotechnology, programming, and biomedical engineering can lead to higher compensation, especially in research or industry roles.

Is neural engineering a good career?

Neural engineering is a growing field that combines neuroscience, engineering, and technology to develop medical devices and brain-computer interfaces. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The career can be rewarding for those interested in innovation and interdisciplinary work.

What can you do with a neural engineering degree?

A neural engineering degree prepares individuals for careers in developing brain-computer interfaces, neuroprosthetics, and neural signal processing. Graduates often work in research, healthcare, or industry settings, utilizing skills in neuroscience, engineering, and programming tools like MATLAB or Python. Opportunities include roles in biomedical device development, neural data analysis, and clinical applications.
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What are the most commonly searched types of Neural Engineering jobs in Berkeley, CA?

The most popular types of Neural Engineering jobs in Berkeley, CA are:

What are popular job titles related to Neural Engineering jobs in Berkeley, CA?

For Neural Engineering jobs in Berkeley, CA, the most frequently searched job titles are:

What cities near Berkeley, CA are hiring for Neural Engineering jobs?

Cities near Berkeley, CA with the most Neural Engineering job openings:

Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Berkeley, CA as of August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $49,191 per year, or $23.6 per hour.

Staff Engineer, Neural Rendering

roamlabs

San Francisco, CA • On-site

$300 - $500/hr

Other

Posted 8 days ago

Job description

# Staff Engineer, Neural RenderingShip the production neural rendering and reconstruction pipeline that powers Roam's centimeter-accurate spatial index.Team: Perception & NeRFLocation: San Francisco, CAType: full timeBase salary range: $300k – $500k baseApply by EmailBack to all roles## About the roleYou'll own the neural-rendering pipeline end-to-end: from raw multi-sensor ingestion through semantic geometry to the queryable spatial index that customers' robots, AR apps, and dashboards read from. The bar is production-grade — under 30 ms p95 query latency, under 5 cm median localization error, dual-region failover. Small team, deep ownership, no committees.## Responsibilities* Own the reconstruction pipeline from raw point clouds and images to semantic 3D geometry.* Drive p95 query latency under 30 ms and median localization error under 5 cm.* Ship the multi-session alignment and change-detection systems.* Partner with the SFM team to bring foundation-model capabilities into production.* Set engineering practices for the perception org.## Qualifications* Staff-level experience shipping high-throughput vision systems in production.* Deep knowledge of multi-view geometry, SLAM, and neural rendering (NeRF / 3DGS).* Strong systems engineering: latency budgets, GPU efficiency, multi-region.* Have shipped something an external customer pays for.## Nice to have* Experience with point-cloud processing (PCL, Open3D, COLMAP).* Experience with robotics localization stacks.## ApplySend a short note and your most relevant work to hello@roamlabs.ai. Salary range is $300k – $500k base for this role; recruiters calibrate within the band based on level and prior compensation. #J-18808-Ljbffr

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