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Neural Engineering Jobs in Boston, MA (NOW HIRING)

Delsys

Electrical Engineer (FT)

Natick, MA · On-site

$85K - $105K/yr

Delsys embraces a cross-disciplinary approach towards engineering and is focused on developing flexible wearable constructs that fuse multi-sensing modalities, which include neural/EMG sensing ...

Delsys

R&D Software Engineer (FT)

Natick, MA · On-site

$90K - $110K/yr

... neural interface technologies. The position requires expertise in developing signal processing and ... Requirements • Currently enrolled in or completed a BS or MS in computer engineering, computer ...

RA Capital Management, LLC

AI Engineer

Boston, MA · Hybrid

... professional software engineering experience * Healthcare and/or finance industry experience ... Extensive knowledge of neural networks and deep learning frameworks (PyTorch) * Proven expertise ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation ... Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

Work with large datasets and perform data preprocessing, feature engineering, and model evaluation ... Deep Learning * Neural Networks * Natural Language Processing (NLP) * Computer Vision

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for neural engineering in Boston, MA is $20.98, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $22.74 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 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.

Is neural engineering a good career?

Neural engineering is a growing interdisciplinary field that combines neuroscience, engineering, and computer science to develop technologies like brain-computer interfaces and neural prosthetics. It offers opportunities in research, healthcare, and industry, often requiring advanced degrees and technical skills. The field is expected to expand as neurotechnology advances and healthcare needs increase.

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 technology companies, utilizing skills in neuroscience, engineering, and programming to innovate medical devices and neural systems.

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 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.
More about Neural Engineering jobs
What are the most commonly searched types of Neural Engineering jobs in Boston, MA? The most popular types of Neural Engineering jobs in Boston, MA are:
What are popular job titles related to Neural Engineering jobs in Boston, MA? For Neural Engineering jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Neural Engineering jobs in Boston, MA look for? The top searched job categories for Neural Engineering jobs in Boston, MA are:
What cities near Boston, MA are hiring for Neural Engineering jobs? Cities near Boston, MA with the most Neural Engineering job openings:
Neural Engineering jobs near you
Infographic showing various Neural Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 5% Internship, 77% Full Time, and 18% Contract. Highlights an 93% In-person, and 7% Hybrid job distribution, with an average salary of $43,645 per year, or $21 per hour.

Lead Product Manager - Physics-AI & Thermal-Mechanical Systems

Flexcompute Inc.

Watertown, MA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 27 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory
Requirements
  • The Domain Expert: You have a deep understanding of thermal and structural simulation (FEA/CFD). You know the limitations of the current status quo and are frustrated by how slow traditional tools are.
  • The Strategist: You have 5-10 years of experience in Product Management, ideally in CAE, EDA, or high-performance computing (HPC).
  • Technically Fearless: You hold a degree in Mechanical Engineering, Physics, or a related field. You are comfortable discussing GPU architectures, solver convergence, and neural network latencies with PhD-level researchers.
  • Future-Oriented: You believe that the future of engineering is AI-accelerated and are eager to build the platform that makes that a reality.

The Role
  • Market Discovery: Identify and prioritize high-impact use cases for our thermal-mechanical solvers. You will look beyond 3D-ICs to thermal management in data centers, electric drivetrains, and satellite systems.
  • Product Roadmap: Own the product lifecycle from inception to launch. You will define the features, UI/UX requirements, and API capabilities that allow engineers to harness the world's fastest solver seamlessly.
  • AI Product Strategy: Define how our Physics AI Foundation Models translate into tangible value for end-users. How does an engineer interact with a "neural" simulation? You will answer that question.
  • Strategic Partnerships: Collaborate with industry leaders to pilot new technologies, ensuring our product solves real-world pain points like package warpage, thermal-mechanical fatigue, and high-flux cooling.
  • Competitive Moat: Position Flexcompute against legacy incumbents by highlighting our advantage in speed, accuracy and scale, and our unique ability to scale first-principles physics into AI.

Benefits
  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.

Apply