Computer Vision Engineer V, Senior ; Rendering and Simulation

About the Role

We are looking for a motivated engineer to join our team and take ownership of our in‑house rendering engine, which is the core tool that generates synthetic, radio metrically accurate scenes for testing and validating our computer vision solutions. In this role you will extend and enhance the engine to meet the demanding performance, fidelity, and hardware‑constraint requirements of space‑borne platforms.

• Quickly get up to speed with the current codebase, architecture, and data pipelines, identifying improvement opportunities and documenting key components.
• Accelerate rendering with GPU compute. Design and implement CUDA‑based kernels to achieve real‑time or faster‑than‑real‑time performance for ray‑traced scene generation.
• Implement high fidelity camera models. Collaborate with optical engineers to translate sensor characteristics into accurate simulation environments.
• Work with and update the C++ API, maintaining, updating, and documenting it for downstream simulation pipelines.
• Integrate and validate. Work hand‑in‑hand with algorithm developers to embed the rendering engine into their testing workflows, ensuring generated data meets the strict accuracy and performance requirements of space‑borne platforms.
• Define test cases, compare simulation results against analytical/ground‑truth data, document V&V evidence, and support formal review packages.
• Debug computer vision algorithm performance in the simulation by diagnosing issues in the underlying code using visualizations.
• Collaborate with embedded‑hardware, optics, and systems teams to ensure the simulation reflects actual hardware behavior and integrates smoothly with downstream tool chains.

• 8+ years of related experience; post‑secondary degree or substantial professional experience in a related discipline.
• Proficiency in modern C++ (C++14/17/20).
• Demonstrated ability to develop CUDA kernels; hands‑on experience writing and debugging CUDA (or equivalent) kernels.
• Experience with implementing computer graphics algorithms.
• Familiarity with GPU architectures, GPU memory hierarchies, and trade‑offs between compute and memory bandwidth.
• Experience with GPU performance‑profiling tools such as NVIDIA Nsight or visual profiler.
• Experience with github or gitlab.
• Knowledge of physically‑based rendering techniques, material models, and radiometric accuracy.
• Experience with ray‑tracing engines and rendering pipelines for synthetic imagery.
• Familiarity with camera optics and sensor modeling.
• Experience with containerization (Docker).
• U.S. Citizenship required; eligibility to obtain and maintain TS/SCI for long‑term employment is required.

Medical, dental, vision, life insurance, short‑term disability, long‑term disability, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, holidays. Additional information regarding PTO and holidays provided for Washington state applicants and others.

Annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC: $156,400 - $275,655.

Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics.