Nvidia Senior Software Engineer - Isaac Healthcare 

Poland 

309818651

What you’ll be doing:

• Design and implement high‑performance soft‑tissue simulation modules for Isaac for Healthcare, targeted at real‑time and near real‑time use cases.

• Develop and integrate SOTA algorithms spanning FEM and MPM variants; build on top of Newton, our newest physics simulation engine, and evaluate trade‑offs between accuracy, stability, and performance for surgical interactions (contact, friction, cutting/tearing, suturing, cautery, tool‑tissue coupling).

• Prototype and productize GPU‑accelerated kernels (e.g., with NVIDIA Warp; CUDA knowledge a plus) and optimized C++ backends with clean Python bindings for Isaac workflows.

• Prototype workflows with the latest deep-learning frameworks for Physics AI models in simulation environments (PhysicsNeMo).

• Integrate simulation components with Isaac Sim and Isaac Lab for closed‑loop robotics/RL training, data generation, and hardware‑in‑the‑loop evaluation.

• Collaborate with robotics, perception, and product teams to translate clinical/surgical requirements into simulation features and APIs.

• Build and contribute examples, docs, and tutorials; raise code quality via reviews, CI, and reproducible builds/releases.

• Mentor junior engineers and work with external partners (research labs, device makers) to validate models against experimental or clinical data.

What we need to see:

• Bachelor’s degree (or equivalent experience) in Computer Science, Robotics, Mechanical/ Biomedical Engineering, Applied Math, or related field.

• 7+ years building physics‑based simulation software or real‑time graphics/robotics systems.

• Strong proficiency in C++ and Python.

• Solid foundation in numerical methods, linear algebra, and continuum mechanics relevant to deformable bodies.

• Hands‑on experience delivering production‑quality features: profiling, debugging, testing, and shipping products that meet QA standards.

• Excellent collaboration and communication skills; ability to translate research prototypes into maintainable, documented components.

Ways to stand out from the crowd:

• Prior work with Isaac Sim and/or Isaac Lab (sensors, articulation, RL pipelines, USD/Omniverse workflows).

• Deep experience with FEM (e.g., corotational, nonlinear, solid mechanics) and/or MPM (e.g., MLS‑MPM/APIC) for soft tissue; familiarity with PBD/XPBD or hybrid schemes.

• Background with physics engines or frameworks (PhysX, SOFA, MuJoCo, Bullet, Taichi, etc.) anddifferentiable/learning‑in‑the‑loopsimulation.

• Familiarity with surgical robotics or medical imaging pipelines (e.g., mesh generation from DICOM/NIfTI, domain randomization for perception).

• Contributions to open‑source simulation/robotics projects, publications, or public GitHub repositories demonstrating mastery.