Graphics Software Engineer

University of Maryland•College Park, MD

3d•$100,000 - $110,000•Onsite

About The Position

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. 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.

Requirements

Bachelor's Degree in Computer Science, Computer Engineering, or a closely related field.
Strong academic record with relevant coursework in real-time graphics, computer vision, XR development, or AI-integrated systems.
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.

Nice To Haves

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.

Responsibilities

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