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Brain Machine Interface Jobs in Gaithersburg, MD

Devyantram

Lead Photonics Engineer

Ashburn, VA · On-site

$150K - $170K/yr

Strongly Preferred • Optical or holographic computing. • Unconventional or non-von-Neumann computing. • Brain-machine interfaces or neural probes. • Advanced research lab or deep-tech startup ...

Devyantram

Lead Biohybrid Systems Engineer

Ashburn, VA · On-site

$145K - $165K/yr

... brain-machine interfaces. • Experience bridging wet-lab, hardware, and robotics teams. A Successful Candidate Will Be Measured By • Stability, function, and learning capacity of the neural ...

Devyantram

Lead Bioengineer

Ashburn, VA · On-site

$145 - $165/hr

... brain in both its living and engineered, materials‑based forms; the bioelectronic interface that ... Molecular machines or programmable matter. * Experience bridging wet‑lab, hardware, and robotics ...

All JobsBrain Machine Interface JobsBrain Machine Interface Jobs in Gaithersburg, MD

Brain Machine Interface information

See Gaithersburg, MD salary details

$15

$24

$33

How much do brain machine interface jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for brain machine interface in Gaithersburg, MD is $24.66, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $27.55 per hour, depending on experience, location, and employer.

What is a brain machine interface?

A Brain Machine Interface (BMI) job involves developing technologies that connect the human brain with computers or external devices. Professionals in this field work on designing, testing, and improving neural interfaces to restore lost sensory or motor functions, enhance cognitive abilities, or enable direct brain communication with machines. Roles may include neuroscientists, engineers, and software developers collaborating to advance BMI applications in healthcare, assistive technology, and neuroprosthetics.

What are the typical daily responsibilities of someone working in a brain machine interface position?

Professionals in Brain Machine Interface roles usually divide their time between designing experiments, analyzing neural data, developing and testing interface prototypes, and collaborating with cross-disciplinary teams such as neuroscientists, engineers, and clinicians. They may also be involved in writing technical documentation, participating in regulatory compliance activities, and keeping up with the latest scientific literature. Depending on the project, work can flow between laboratory research and computational tasks, requiring flexibility and an eagerness to learn new techniques. The environment is often collaborative and research-focused, providing ample opportunities to contribute to exciting advancements in neurotechnology.

What are the key skills and qualifications needed to thrive in the brain machine interface position, and why are they important?

To thrive in a Brain Machine Interface (BMI) role, you need a strong background in neuroscience, biomedical engineering, computer science, or a related field, often supported by advanced degrees or specialized training. Proficiency with signal processing software (such as MATLAB or Python), brain imaging tools, and hardware prototyping is typically required, along with familiarity with regulatory standards. Strong problem-solving skills, collaboration, and attention to detail help individuals excel in multi-disciplinary teams working at the intersection of biology and technology. These competencies are crucial for developing safe, effective interfaces and driving innovation in this fast-evolving field.

What are the most commonly searched types of Brain Machine Interface jobs in Gaithersburg, MD?

The most popular types of Brain Machine Interface jobs in Gaithersburg, MD are:

What are popular job titles related to Brain Machine Interface jobs in Gaithersburg, MD?

For Brain Machine Interface jobs in Gaithersburg, MD, the most frequently searched job titles are:

What job categories do people searching Brain Machine Interface jobs in Gaithersburg, MD look for?

The top searched job categories for Brain Machine Interface jobs in Gaithersburg, MD are:

Brain Machine Interface jobs near you
Infographic showing various Brain Machine Interface job openings in Gaithersburg, MD as of August 2026, with employment types broken down into 79% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $51,287 per year, or $24.7 per hour.

Lead Photonics Engineer

Devyantram

Ashburn, VA • On-site

$150K - $170K/yr

Full-time

Re-posted 18 days ago

Job description

Devyantram is building a unified platform of bionic robots, from nanoscale to humanoid, powered by a bionic brain system that fuses biotechnology, nanotechnology, and AI to tackle global challenges in climate, medicine, and defense.
Role Summary
You will lead the design and development of Devyantram's photonic intelligence hardware supporting the CEREBRION bionic brain platform. You are responsible for architecting intelligence-substrate hardware, not just building individual components.
Key Responsibilities
Photonics Engineering
• Design and simulate photonic circuits, waveguides, resonators, and interferometers.
• Develop optical interconnects and signal-routing subsystems.
• Work on optical memory and optical compute elements.
• Target high-bandwidth sensing, low-latency communication, and energy-efficient computation.
• Own photonics fabrication, testing, and characterization.
Compute Hardware
• Contribute to unconventional, brain-inspired photonic compute hardware.
• Translate cognitive and AI requirements into physical implementations.
• Co-design with the bioengineering, mechatronics, and controls teams.
IP & Technical Leadership
• Generate foundational IP across photonics.
• Lead invention disclosures and support patent strategy with counsel.
• Define the long-term photonic hardware roadmap.
• Mentor junior researchers and engineers.
Required Qualifications
• MS or PhD in Applied Physics, Electrical Engineering, Materials Science, or a related field.
• 8+ years of demonstrated expertise in photonics engineering.
• Strong experience in nanofabrication.
• Proven ability to bridge theory, fabrication, and system-level integration.
Strongly Preferred
• Optical or holographic computing.
• Unconventional or non-von-Neumann computing.
• Brain-machine interfaces or neural probes.
• Advanced research lab or deep-tech startup experience.
A Successful Candidate Will Be Measured By
• Functionality and performance of the compute hardware.
• Successful design and fabrication of photonics systems.
• Reliability of hardware integration across subsystems.
• Strength, novelty, and defensibility of generated core IP.
The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
The pay range for this role is:
150,000 - 170,000 USD per year (Ashburn, VA)

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