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Neural Engineering Jobs in Baltimore, MD (NOW HIRING)

Graphics Software Engineer

College Park, MD · On-site

$138K - $171K/yr

... neural rendering, generative medical visualization, real-time inference, and data-driven ... Infrastructure and platform engineering: Design, scale, and harden the institute's advanced XR ...

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Neural Engineering information

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How much do neural engineering jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for neural engineering in Baltimore, MD is $19.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $20.77 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.

What are the most commonly searched types of Neural Engineering jobs in Baltimore, MD?

The most popular types of Neural Engineering jobs in Baltimore, MD are:

What are popular job titles related to Neural Engineering jobs in Baltimore, MD?

For Neural Engineering jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Neural Engineering jobs in Baltimore, MD look for?

The top searched job categories for Neural Engineering jobs in Baltimore, MD are:

Infographic showing various Neural Engineering job openings in Baltimore, MD as of August 2026, with employment types broken down into 5% Internship, 77% Full Time, and 18% Contract. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $39,919 per year, or $19.2 per hour.

Graphics Software Engineer

University of Maryland

College Park, MD • On-site

$138K - $171K/yr

Full-time

Re-posted 26 days ago


University Of Maryland, Baltimore rating

7.7

Company rating: 7.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

260th of 618 rated colleges and universities


Job description

Job Description Summary
Organization's Summary Statement:
The University of Maryland Institute for Health Computing (IHC) merges the computational expertise, clinical expertise, biomedical innovation, health data and academic resources of the University of Maryland, College Park; the University of Maryland, Baltimore; and the University of Maryland Medical System to innovate health care delivery and support the Montgomery County life science community.
Job Summary:
We are building next-generation intelligent, immersive, high-performance tools for healthcare, and are looking for a highly motivated, performance-oriented software engineer to own the full development stack. This position requires passion for real-time XR programming on cutting-edge hardware while closely integrating AI/ML for neural rendering, generative medical visualization, real-time inference, and data-driven enhancements. Expect to do deep dives in C++/C#/Python coding, low-latency optimizations, GPU expertise, and developing massively parallel software to run on IHC's state-of-the-art supercomputer, while shipping production-grade immersive applications that transform surgical planning, training, clinical workflows, and diagnostics.
This is a builder-first role with over 80% time devoted to hands-on coding, software architecture, optimization, deployment, and iteration in a fast-moving, interdisciplinary environment. This position involves mentoring junior talent, maintaining mission-critical infrastructure, and collaborating with computer scientists and clinicians to build and deploy visual computing tools to revolutionize healthcare. This position is in a supportive, mission-driven, research-lab environment with mentorship from senior scientists, engineers, researchers, and professors, access to top-tier hardware, and opportunities for rapid professional development while contributing to health computing. This position is fully onsite and requires presence at the IHC office in North Bethesda.
Responsibilities/Duties:
• Hands-on architect, developer, and optimizer: Architect, code, profile, and ship high-performance XR + AI visualization systems - including real-time neural rendering (Gaussian splatting, NeRF variants), AI-enhanced volume rendering, generative modeling, multi-modal data fusion, Unity/Unreal pipelines, and edge-deployed inferencing. Own end-to-end implementation from prototype to polished product, targeting 90+ FPS on XR hardware.
• Infrastructure and platform engineering: Design, scale, and harden the institute's advanced XR + GPU-accelerated ML compute ecosystem for real-time visual computing pipelines, cross-platform deployment, and performance tooling.
• Mentor, Accelerate, Learn, and Collaborate: Work closely with senior team members, contribute to code reviews, mentor undergrads as you level up in modern XR + AI workflows. Hands-on experiential teaching of specialized classes, and more informal hands-on instruction for faculty/users at IHC.
• High-impact flex work on emerging priorities, keeping pace with
Minimum Qualification:
Education: Bachelor's Degree in Computer Science, Computer Engineering, or a closely related field.
Experience: Strong academic record with relevant coursework in real-time graphics, computer vision, XR development, or AI-integrated systems.
Knowledge, Skills, and Abilities:
• Foundational AI/ML knowledge: PyTorch/TensorFlow basics, computer vision/graphics concepts.
• Solid C++ proficiency (performance-oriented coding) with working knowledge of C#.
• Comfortable Python usage for ML prototyping, scripting, data handling, and rapid experimentation.
• Familiarity with Windows, Linux, macOS, and mobile platforms.
• Strong communication skills for both technical and non-technical audiences.
• Excellent problem-solver who enjoys debugging, profiling, troubleshooting, and making programs
run smoothly.
• Ability to work collaboratively in a team environment and independently when needed.
• Strong analytical skills and attention to detail.
• Genuine excitement to code interactive, intelligent, and immersive tools that advance healthcare.
Preferences:
• Master's Degree in Computer Science, Computer Engineering, or a closely related field.
• Experience with AR/VR/XR devices.
• Understanding of modern graphics APIs (Vulkan preferred, DirectX 12, Metal, or OpenGL) with real-time rendering experience.
• Basic GPU optimization awareness, CUDA, compute shaders.
• Hands-on experience building XR prototypes/apps in Unity3D and/or Unreal Engine
• Familiarity with 3D capture/reconstruction (multi-camera, light fields, SLAM) + ML preprocessing.
Licenses/ Certifications: N/A
Physical Demands: N/A
Additional Job Details
Required Application Materials: Cover Letter, CV and List of References (minimum of 3)
Best Consideration Date: April 3, 2026
Posting Close Date: N/A
Open Until Filled: Yes
Financial Disclosure Required
No
For more information on Financial Disclosure, please visit Maryland's State Ethics Commission website.
Department
CMNS-College of Computer, Math & Natural Sciences
Worker Sub-Type
Faculty Regular
Salary Range
$100,000 - $110,000
Benefits Summary
For more information on Regular Faculty benefits, select this link.
Background Checks
Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment Eligibility
The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO Statement
The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University's Equal Employment Opportunity Statement of Policy.
Title IX Non-Discrimination Notice
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