If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science ... Have classroom or professional experience conducting research on connectomics, neural interfaces ...
If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science ... Have classroom or professional experience conducting research on connectomics, neural interfaces ...
Mid-Level Software Engineer (Full Stack Focus) with Security Clearance
Columbia, MD · On-site
$148K - $177K/yr
Custom Media Operations Developer Join the Custom Media Operations team at Neural Solutions ... Extensive experience building applications using JavaScript (node.js, TypeScript), UI frameworks ...
Mid-Level Software Engineer (Full Stack Focus) with Security Clearance
Columbia, MD · On-site
$148K - $177K/yr
Custom Media Operations Developer Join the Custom Media Operations team at Neural Solutions ... Extensive experience building applications using JavaScript (node.js, TypeScript), UI frameworks ...
Modify existing software to correct errors, to adapt it to new hardware, or to upgrade interfaces ... Familiarity with machine learning algorithms and tools such as naïve-bayes, decision trees, neural ...
Modify existing software to correct errors, to adapt it to new hardware, or to upgrade interfaces ... Familiarity with machine learning algorithms and tools such as naïve-bayes, decision trees, neural ...
Senior Full Stack Software Engineer with Security Clearance
Columbia, MD · On-site
$204K - $247K/yr
Design and create reliable, intuitive user interfaces and workflows. * Develop cutting-edge ... and DevOps), and a willingness to use any necessary technology to achieve the solution.
Senior Full Stack Software Engineer with Security Clearance
Columbia, MD · On-site
$204K - $247K/yr
Design and create reliable, intuitive user interfaces and workflows. * Develop cutting-edge ... and DevOps), and a willingness to use any necessary technology to achieve the solution.
Integration Engineer Senior-Level 112-053
Chantilly, VA · On-site
$106K - $143K/yr
... and determining integration/interface requirements. Provides services for engineering and ... Neural Network, etc.). Duties include : * Provides a total systems perspective including a ...
Integration Engineer Senior-Level 112-053
Chantilly, VA · On-site
$106K - $143K/yr
... and determining integration/interface requirements. Provides services for engineering and ... Neural Network, etc.). Duties include : * Provides a total systems perspective including a ...
Integration Engineer (Senior-Level) 112-061
Chantilly, VA · On-site
$106K - $143K/yr
... and determining integration/interface requirements. Provides services for engineering and ... Neural Network, etc.). Duties include : * Provides a total systems perspective including a ...
Integration Engineer (Senior-Level) 112-061
Chantilly, VA · On-site
$106K - $143K/yr
... and determining integration/interface requirements. Provides services for engineering and ... Neural Network, etc.). Duties include : * Provides a total systems perspective including a ...
Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) * Establish and ... Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) * Implement ...
Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) * Establish and ... Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) * Implement ...
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA · On-site
$116K - $140K/yr
Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) * Establish and ... Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) * Implement ...
Artificial Intelligence / Machine Learning Data Engineer
Fairfax, VA · On-site
$116K - $140K/yr
Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) * Establish and ... Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) * Implement ...
Artificial Intelligence / Machine Learning Data Engineer with Security Clearance
Fairfax, VA · On-site
$117K - $140K/yr
Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) * Establish and ... Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) * Implement ...
Artificial Intelligence / Machine Learning Data Engineer with Security Clearance
Fairfax, VA · On-site
$117K - $140K/yr
Develop conversational AI interfaces using open-source LLMs (Llama, Mistral, etc.) * Establish and ... Optimize AI workloads for embedded platforms (Jetson, Intel Neural Compute Stick) * Implement ...
Lead AI / ML Engineer (TS/SCI)
Washington, DC · On-site
$115K - $152K/yr
... interface between data scientists, software engineers, DevSecOps teams, and mission analysts to ... neural networks or predictive statistical modeling into production software. • Proven experience ...
Lead AI / ML Engineer (TS/SCI)
Washington, DC · On-site
$115K - $152K/yr
... interface between data scientists, software engineers, DevSecOps teams, and mission analysts to ... neural networks or predictive statistical modeling into production software. • Proven experience ...
Junior Software Developer (backend focus) with Security Clearance
Columbia, MD · On-site
$138K - $163K/yr
Software Engineer This role will be on a fast-moving software engineering team supporting a ... Nice to Have: * Full stack experience including UI development with JavaScript (Vue.js)
Junior Software Developer (backend focus) with Security Clearance
Columbia, MD · On-site
$138K - $163K/yr
Software Engineer This role will be on a fast-moving software engineering team supporting a ... Nice to Have: * Full stack experience including UI development with JavaScript (Vue.js)
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
AI-ML Developer
Ashburn, VA · On-site
$144K - $219K/yr
Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...
Quick apply
AI-ML Developer
Ashburn, VA · On-site
$144K - $219K/yr
Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...
Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...
Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
... neural networks, NLP, LLMs, SLMs, model fine-tuning, prompt engineering, RAG) and hands-on ... Interface and collaborate with other Anduril and customer engineering teams, and strategic partners.
AI-ML Developer
Ashburn, VA · On-site
$144K - $219K/yr
Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...
AI-ML Developer
Ashburn, VA · On-site
$144K - $219K/yr
Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual ... Solid understanding of deep learning architectures such as CNNs (Convolutional Neural Networks ...
Lead AI / ML Engineer (TS/SCI)
Washington, DC · On-site
$116K - $152K/yr
Serve as the primary technical interface between data scientists, software engineers, DevSecOps ... neural networks or predictive statistical modeling into production software. * Technical Domain ...
Lead AI / ML Engineer (TS/SCI)
Washington, DC · On-site
$116K - $152K/yr
Serve as the primary technical interface between data scientists, software engineers, DevSecOps ... neural networks or predictive statistical modeling into production software. * Technical Domain ...
Lead AI / ML Engineer (TS/SCI) with Security Clearance
Washington, DC · On-site
$116K - $153K/yr
Serve as the primary technical interface between data scientists, software engineers, DevSecOps ... neural networks or predictive statistical modeling into production software. * Technical Domain ...
Lead AI / ML Engineer (TS/SCI) with Security Clearance
Washington, DC · On-site
$116K - $153K/yr
Serve as the primary technical interface between data scientists, software engineers, DevSecOps ... neural networks or predictive statistical modeling into production software. * Technical Domain ...
Neural Interface Engineer information
See Washington, DC salary details
$12.5K - $33.2K
0% of jobs
$42.4K is the 25th percentile. Wages below this are outliers.
$33.2K - $54K
56% of jobs
$54K - $74.7K
0% of jobs
$74.7K - $95.4K
0% of jobs
$95.4K - $116.2K
0% of jobs
$116.2K - $136.9K
0% of jobs
$136.9K - $157.7K
14% of jobs
$169.4K is the 75th percentile. Wages above this are outliers.
$157.7K - $178.4K
8% of jobs
$178.4K - $199.2K
0% of jobs
$199.2K - $219.9K
0% of jobs
$219.9K - $240.7K
21% of jobs
$12.5K
$120.5K
$240.7K
How much do neural interface engineer jobs pay per year?
As of Jul 15, 2026, the average yearly pay for neural interface engineer in Washington, DC is $120,544.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $232,200.00 per year, depending on experience, location, and employer.
What does an interface engineer do?
A neural interface engineer designs and develops systems that connect the human nervous system with electronic devices, often working on brain-computer interfaces or neural implants. They use skills in neuroscience, electrical engineering, and programming, and may work with specialized tools like signal processing software and biocompatible materials. Their work involves testing, troubleshooting, and ensuring safety and functionality of neural interface technologies.
What engineer makes $500,000 a year?
Neural interface engineers, especially those with advanced expertise in neurotechnology, machine learning, and biomedical engineering, can reach or exceed a $500,000 annual salary, often in senior or specialized roles within biotech or tech companies. High compensation typically reflects extensive experience, advanced degrees, and leadership responsibilities in cutting-edge research or product development.
What jobs can you do with neural engineering?
Neural engineers can work in roles such as neural interface developer, biomedical engineer, research scientist, or neurotechnology specialist. These jobs often involve designing brain-computer interfaces, developing neural signal processing algorithms, and working in research labs or medical device companies, requiring skills in neuroscience, engineering, and programming tools like MATLAB or Python.
What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?
| Aspect | Neural Interface Engineer | Brain-Computer Interface Developer |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Neuroscience, Biomedical Engineering, or related fields | Bachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering |
| Work Environment | Research labs, medical device companies, biotech firms | Tech startups, research institutions, healthcare companies |
| Industry Usage | Develops hardware/software for neural data acquisition and processing | Designs algorithms and interfaces for translating neural signals into commands |
| Common Search/Comparison | Often compared due to overlapping skills in neural data and hardware development | Related 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.
What jobs make $3,000 a month without a degree?
Neural Interface Engineers typically require a relevant degree due to the specialized nature of the work; however, entry-level roles in tech support, sales, or manufacturing related to neural technology may pay around $3,000 monthly without a degree. Skills in electronics, programming, or technical troubleshooting can help qualify for such positions, often requiring certifications or on-the-job training.
What are popular job titles related to Neural Interface Engineer jobs in Washington, DC? For Neural Interface Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Neural Interface Engineer jobs in Washington, DC look for? The top searched job categories for Neural Interface Engineer jobs in Washington, DC are:
2026 PhD Graduate - Neural and Cognitive Engineering Researcher
Laurel, MD • On-site
Full-time
Medical, Dental, Vision, Life, Retirement, PTO
Re-posted 29 days ago
Johns Hopkins Applied Physics Laboratory rating
9.9
Based on 5 frontline employees who took The Breakroom Quiz
1st of 59 rated research
Job description
Description
Are you passionate about designing systems or algorithms using what we know about the mind and brain?
Do you want to help invent the future of how people interact with intelligent systems?
If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related subject area, we'd love to have you join our team!
We are seeking a researcher to contribute to and lead pioneering work in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. We are a large multidisciplinary team of engineers and scientists engaged in groundbreaking research in applied neuroscience, artificial intelligence, robotics, and complex systems. We are looking for a motivated and collaborative teammate to support research and development of intelligent systems as a strategic advantage for the nation.
As a Neural and Cognitive Engineering Researcher...
Qualifications
You meet our minimum qualifications for the job if you...
You'll go above and beyond our minimum requirements if you...
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
Are you passionate about designing systems or algorithms using what we know about the mind and brain?
Do you want to help invent the future of how people interact with intelligent systems?
If you are graduating with a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related subject area, we'd love to have you join our team!
We are seeking a researcher to contribute to and lead pioneering work in connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research. We are a large multidisciplinary team of engineers and scientists engaged in groundbreaking research in applied neuroscience, artificial intelligence, robotics, and complex systems. We are looking for a motivated and collaborative teammate to support research and development of intelligent systems as a strategic advantage for the nation.
As a Neural and Cognitive Engineering Researcher...
- Your primary role will be developing algorithms and/or systems in domains spanning connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research.
- You will make an impact as an emerging leader on a multi-disciplinary research team, collaboratively leading and conducting pioneering research with government and commercial partners.
- You will collaborate with engineers and scientists to design and perform human subjects research, machine learning, software development, and/or biomedical signal processing.
- You will communicate key findings both internally across teams and externally to sponsors, including in proposal development.
Qualifications
You meet our minimum qualifications for the job if you...
- Have a PhD in Biomedical Engineering, Neuroscience, Cognitive Science, Computer Science, or a related discipline
- Have classroom or professional experience developing software and/or data analysis scripts
- Have classroom or professional experience conducting research on connectomics, neural interfaces, neurally-inspired artificial intelligence, and/or neurobehavioral research
- Are able to obtain a final Secret level security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
You'll go above and beyond our minimum requirements if you...
- Have classroom or professional experience developing and/or implementing machine learning algorithms applied to biomedical data, including but not limited to neurophysiological data
- Have experience working on a fast-paced government-funded effort (e.g., DARPA project).
- Have a Secret level security clearance or above.
About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually
What Johns Hopkins Applied Physics Laboratory employees say
Pay
Hours and flexibility
Workplace
Get the full story on Breakroom
About Johns Hopkins Applied Physics Laboratory
Sourced by ZipRecruiter
Industry
Manufacturing
Company size
5,001 - 10,000 Employees
Headquarters location
Laurel, MA, US