Job Description Summary
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

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.