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Remote Neural Engineer Jobs in Washington, DC (NOW HIRING)

ASSYST, Inc.

Software Developer

Sterling, VA · Remote

Proficiency in data science, deep learning, and neural networks. * Ability to travel to local ... Remote work is not permitted. ASSYST Benefits: We are proud to offer a robust benefits package ...

Platinum Technologies

AI Engineer

Washington, DC · On-site +1

Your focus will include Machine Learning, Natural Language Processing, Neural Networks, Large ... This role is remote/hybrid in the VA/MD/DC area. There may be occasional travel to client site in ...

Spear AI

Machine Learning Engineer

Washington, DC · On-site +1

... * We're remote - Work from wherever you want. We collaborate in real time on Slack or ... Expertise in PyTorch for building and training neural networks * Experience training and serving ...

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Team Velocity

Senior Data Scientist

Herndon, VA · On-site +1

$160K - $190K/yr

The role partners with Product, Data Engineering, Software Engineering, Analytics, and business ... This is a full-time, salaried, remote position. Candidate must reside within the Continental U.S.

Analytica

Data Scientist - NLP

Washington, DC · Remote

The role will apply statistical programming, modeling, visualization techniques, data mining, and ... This position is fully remote. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Train, evaluate, and optimize deep neural network models on overhead imagery, including ...

Analytica

Data Scientist - NLP

Washington, DC · On-site +1

The role will apply statistical programming, modeling, visualization techniques, data mining, and ... This position is fully remote. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

Analytica

Data Scientist - NLP

Washington, DC · Remote

The role will apply statistical programming, modeling, visualization techniques, data mining, and ... This position is fully remote. Analytica has been recognized by Inc. Magazine as a fastest-growing ...

All JobsNeural Engineer JobsRemote Neural Engineer JobsRemote Neural Engineer Jobs in Washington, DC

Remote Neural Engineer information

See Washington, DC salary details

$67.4K

$126.4K

$229.9K

How much do remote neural engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for remote neural engineer in Washington, DC is $126,434.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $150,100.00 per year, depending on experience, location, and employer.

What is a Remote Neural Engineer?

A Remote Neural Engineer is a professional who designs, develops, and maintains neural engineering systems—such as brain-computer interfaces or neural prosthetics—while working remotely. They often collaborate with multidisciplinary teams to create solutions that interface with the nervous system, using expertise in neuroscience, biomedical engineering, and software development. Remote Neural Engineers may work from home or distributed locations, utilizing digital tools to analyze neural data, develop algorithms, and contribute to research or product development in the neural technology field.

What are the key skills and qualifications needed to thrive as a Remote Neural Engineer, and why are they important?

To thrive as a Remote Neural Engineer, you need a solid background in neuroscience, biomedical engineering, or electrical engineering, often supported by a relevant degree or advanced certification. Proficiency with neural signal processing software, programming languages like Python or MATLAB, and brain-computer interface (BCI) systems is typically required. Strong problem-solving skills, attention to detail, and effective virtual communication are vital soft skills in this role. These skills and qualities are essential for developing, analyzing, and troubleshooting complex neural systems while collaborating with teams remotely.

What engineers make $300,000 a year?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $300,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech environments. Such roles often require advanced degrees, certifications, and a strong portfolio of research or projects.

How do Remote Neural Engineers typically collaborate with cross-functional teams while working off-site?

Remote Neural Engineers frequently use digital collaboration tools such as video conferencing, shared code repositories, and project management platforms to stay connected with colleagues in neuroscience, software development, and data science. Regular virtual meetings and asynchronous communication help ensure alignment on project goals, data analysis, and protocol development. This structure allows for flexibility, but also requires proactive communication and strong organizational skills to manage complex, interdisciplinary tasks from a distance.

What engineers make $500,000?

Senior neural engineers or specialized AI and machine learning engineers in high-demand industries can earn $500,000 or more annually, especially with extensive experience, advanced skills in deep learning, and working in competitive tech sectors. Compensation often includes base salary, bonuses, and stock options, particularly at leading tech companies or startups with significant funding.

What is the difference between Remote Neural Engineer vs Remote Data Scientist?

AspectRemote Neural EngineerRemote Data Scientist
Required CredentialsDegree in neuroscience, biomedical engineering, or related fields; knowledge of neural interfacesDegree in computer science, statistics, or related fields; proficiency in data analysis
Work EnvironmentResearch labs, tech companies, healthcare institutions with focus on neural dataTech firms, finance, healthcare, analyzing large datasets
Industry UsageNeuroscience, biomedical engineering, neurotechnologyTechnology, finance, healthcare, research
Common Search/ComparisonYesYes

Remote Neural Engineers focus on developing and implementing neural interfaces and understanding neural systems, often requiring knowledge of neuroscience and biomedical engineering. Remote Data Scientists analyze large datasets to extract insights, typically with skills in statistics and programming. While both roles involve technical expertise and data analysis, Neural Engineers are more specialized in neural technologies, whereas Data Scientists have a broader application across industries.

Is neuroengineering a good career?

Neuroengineering is a growing 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 career can be rewarding for those interested in innovative medical solutions and interdisciplinary work.

Can you work remotely as an AI engineer?

Remote work is common for AI engineers, including those specializing in neural engineering, as many companies offer remote positions that involve programming, data analysis, and model development. Successful remote AI engineers typically have strong communication skills, proficiency with tools like Python and TensorFlow, and a reliable internet connection. However, some roles may require on-site presence for hardware setup or collaboration, depending on the company's policies.
What are the most commonly searched types of Neural Engineer jobs in Washington, DC? The most popular types of Neural Engineer jobs in Washington, DC are:
What are popular job titles related to Remote Neural Engineer jobs in Washington, DC? For Remote Neural Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Neural Engineer jobs in Washington, DC look for? The top searched job categories for Remote Neural Engineer jobs in Washington, DC are:
Remote Neural Engineer jobs near you

AI Infrastructure Engineer

Bright Vision Technologies

Ashburn, VA • Remote

$100K - $150K/yr

Full-time

Posted 4 days ago

Job description

AI Infrastructure Engineer- Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. 
 
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. 
Job Title: AI Infrastructure Engineer
Location: 100% Remote (United States)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. 
Job Summary
We are seeking an AI Performance Optimization Engineer to focus on extracting maximum throughput, minimizing latency, and reducing cost across training and inference workloads for large neural network systems. The role spans the full stack from low-level kernel optimization to distributed system tuning, requiring deep understanding of GPU architecture, model parallelism, memory management, and compiler-level optimization. The ideal candidate has demonstrated an impact on production of AI workloads, with strong instrumentation and measurement discipline that enables rigorous, data-driven optimization decisions. In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.
Required Qualifications
  • Bachelor\'s or master\'s degree in computer science, Computer Engineering, or related field.
  • Six or more years of experience in performance engineering, ML systems, or HPC.
  • Strong proficiency in Python and C++.
  • Hands-on experience optimizing deep learning workloads on modern GPUs.
  • Deep understanding of distributed training and inference techniques.
  • Experience with profiling tools across CPU, GPU, and distributed systems.
  • Familiarity with model compression techniques and their accuracy implications.
  • Strong grasp of memory hierarchies, communication primitives, and parallelism strategies.
  • Excellent measurement, debugging, and analytical reasoning skills.
  • Strong communication and collaboration skills.
Preferred Qualifications
  • Experience optimizing LLM inference at production scale.
  • Contributions to vLLM, TensorRT-LLM, DeepSpeed, or similar projects.
  • Familiarity with custom kernel authoring in Triton or CUTLASS.
  • Experience with FinOps for AI workloads.
  • Publications or talks on AI systems performance.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to boon@bvteck.com or contact us at (908) 650-6699. Learn more about Bright Vision Technologies at www.bvteck.com. 
 
Bright Vision Technologies is an Equal Opportunity Employer. 
 

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

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