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Neural Engineer Jobs in Virginia (NOW HIRING)

Skyline Scientific Inc

Software Engineer, Senior

Mclean, VA · On-site

$124K - $163K/yr

Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and ...

Skyline Scientific Inc

Software Engineer, Senior

Mclean, VA

$124K - $163K/yr

Skyline Scientific is looking for a strong Python software engineer who is excited to work on machine learning-enabled sensor-data workflows, neural network training pipelines, automation tools, and ...

BWXT

Nuclear Engineering Data Scientist

Lynchburg, VA · Hybrid

Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.

BWXT

Nuclear Engineering Data Scientist

Lynchburg, VA · Hybrid

Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.

BWXT

Nuclear Engineering Data Scientist

Lynchburg, VA · On-site

$86K - $136K/yr

Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.

BWXT

Nuclear Engineering Data Scientist

Lynchburg, VA · Hybrid

Develop and deploy machine learning models, including deep neural networks (DNNs), convolutional neural networks (CNNs), and Bayesian neural networks (BNNs), to solve nuclear engineering problems.

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How much do neural engineer jobs pay per year?

As of Jun 29, 2026, the average yearly pay for neural engineer in Virginia is $110,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $131,400.00 per year, depending on experience, location, and employer.

What jobs can you do with neural engineering?

Neural engineers can work in research and development roles focused on brain-computer interfaces, neural prosthetics, and neurotechnology devices. They often work in healthcare, biotech, or academic settings, applying skills in signal processing, neuroscience, and engineering design to develop innovative solutions for neurological disorders and brain-machine communication.

What does a neural engineer do?

A neural engineer designs and develops technologies to interface with the nervous system, such as brain-computer interfaces, neural implants, and signal processing algorithms. They often work with neuroscience, biomedical engineering, and programming tools to create solutions for medical, research, or prosthetic applications.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High-paying engineering positions often require advanced degrees, certifications, and expertise in high-demand areas or management responsibilities.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What types of projects and collaborations can a Neural Engineer expect to be involved in?

As a Neural Engineer, you may work on projects ranging from designing brain-computer interfaces and neural prosthetics to analyzing complex neural signals for clinical or research applications. Collaboration with neuroscientists, clinicians, software developers, and hardware engineers is common, ensuring a multidisciplinary approach to solving neurological challenges. Your daily responsibilities might include data analysis, prototyping, testing devices, and presenting findings to your team. This role offers opportunities to influence cutting-edge research and directly contribute to advancements in healthcare and neurotechnology.

What does a Neural Engineer do?

A Neural Engineer applies principles from neuroscience, engineering, and computer science to develop technologies that interface with the nervous system. This includes designing brain-computer interfaces, neuroprosthetics, and medical devices for treating neurological disorders. They work with signal processing, machine learning, and biomedical hardware to understand and manipulate neural activity. Their work has applications in healthcare, rehabilitation, and human augmentation.

What are the key skills and qualifications needed to thrive in the Neural Engineer position, and why are they important?

To thrive as a Neural Engineer, you need a strong background in biomedical engineering, neuroscience, and signal processing, often supported by an advanced degree in a related field. Proficiency with tools like MATLAB, Python, neural data acquisition systems, and familiarity with medical device regulations or certifications are commonly required. Problem-solving abilities, interdisciplinary teamwork, and effective communication set standout candidates apart. These skills and qualities are crucial for innovating and safely developing neural devices and technologies that bridge engineering and neuroscience.

What are the most commonly searched types of Neural Engineer jobs in Virginia? The most popular types of Neural Engineer jobs in Virginia are:
What are popular job titles related to Neural Engineer jobs in Virginia? For Neural Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Neural Engineer jobs in Virginia look for? The top searched job categories for Neural Engineer jobs in Virginia are:
Neural Engineer jobs near you
Senior Staff Research Engineer, Neural Network Video Coding

Senior Staff Research Engineer, Neural Network Video Coding

Ofinno

Reston, VA • On-site

$108K - $149K/yr

Full-time

Retirement, PTO

Posted yesterday

Key responsibilities

  • Own the technical direction for neural network-based video coding from research framing to standards-ready proposals.

  • Collaborate across teams to integrate tool interactions and improve shared infrastructure such as testing pipelines, scripts, datasets, and configurations.

  • Communicate research findings and technical insights to clients, partners, and industry audiences, representing the company in video compression.

Job description

Senior Staff Research Engineer, Neural Network Video Coding
About Ofinno:
Ofinno is a leading research and development lab headquartered in Reston, Virginia, specializing in advancing communication and media standards. Our team's innovative work has led to significant contributions to technologies such as 5G cellular, Wi-Fi, and media compression. Ofinno holds strategic partnerships and licensing agreements with several of the world's leading technology companies that use such technologies. At Ofinno, we foster an environment of collaboration and excellence, where researchers can focus on delivering breakthroughs that shape the future of technology.
Position Overview:
As a Senior Staff Research Engineer in the Advanced Media Lab, you will serve as the tech stack owner for our neural network-based video coding (NNVC) efforts and lead related standardization activities. You will set the research direction with cross-team impact, turning neural coding ideas into reproducible evidence, standards-ready proposals, and patentable inventions.
Key Responsibilities:
As a Senior Staff Research Engineer in NNVC, you will:
  • Own NNVC technical direction end-to-end, from research framing to standards-ready proposals.
  • Collaborate cross-team to remove blockers, integrate tool interactions, and improve shared infrastructure (e.g., testing pipelines, scripts, datasets, and configurations).
  • Communicate research findings and technical insights to clients, partners, and industry audiences, representing the company's expertise in video compression.
  • Drive standards contributions by authoring technical proposals, defending results, and working with delegates/partners to align test conditions, baselines, and conclusions.
  • Invent and develop patentable solutions that improve compression efficiency and/or complexity, and support the full IP process- from invention disclosure through filing.
  • Implement and optimize GPU-accelerated training and/or inference workflows for NNVC tools, including profiling and performance tuning for latency, throughput, and memory.
  • Mentor and multiply team output through code reviews, technical coaching, interview participation, and onboarding others to NNVC methodology and best practices.

Qualifications:
Minimum:
  • M.S. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
  • Prior delegate or active contributor experience in video coding standardization bodies, including JVET, MPEG, or AOM.
  • Deep expertise in video compression plus strong capability in machine learning for vision/video (model design, training, evaluation, and failure analysis).
  • Solid understanding of at least one modern video coding standard, including HEVC/H.265, VP9, VVC/H.266, AV1, AV2, or ECM.
  • Proven ability to act as an architect/tech stack owner: make sound technical decisions, set direction, and drive execution through measurable outcomes.
  • Strong implementation skills across the stack: PyTorch (or equivalent) for training/inference workflows and C/C++ for codec prototyping and/or production integration.
  • Strong written and verbal communication skills, including the ability to represent the company in standards meetings and industry events.
  • Track record of technical impact through peer-reviewed publications, patents, and/or standards contributions.
Preferred:
  • Ph.D. (EE/CS or related) with 7+ years of relevant research and/or product experience in video compression and/or NNVC.
  • Hands-on experience in one or more video coding tool areas, including neural in-loop filtering, neural prediction, learned transforms, or end-to-end neural video compression.
  • Hands-on experience with GPU acceleration, including performance tuning and deployment considerations.
  • Familiarity with the patent filing process and collaborating with patent attorneys.

What else you should know
Our people are our business. We know you have to see it to believe it, but here are some of the perks you can count on:
  • 401(K) matching -- We help you plan and save for retirement with a 401(K) matching program that's available on day one.
  • Free healthcare plans -- Ofinno covers full premiums for you are your family on select healthcare plans, including employer HSA contributions if applicable.
  • Free Food -- Our kitchen is always fully stocked, including lunch, protein bars, fruit, sodas, coffee, and tea.
  • Unlimited Paid Time Off -- Our lives are enriched by family time, vacations, and personal time. We offer unlimited paid time off and sick leave.
  • On-campus gym -- Unwind, reduce stress and feel great - even when you're at work.
  • Other benefits, too long to list -- Please discuss with our great People Ops team about additional benefits offered.
What Now?
What are you waiting for? We hope you will click on the link and forward your credentials to us today. All your information will be kept confidential according to EEO guidelines.

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