
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 7 minutes ago
🏄 California, Washington – Remote
💵 $152k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
Where this job comes from
Posted on NVIDIA's careers page, not through a job board
First seen by Remote Rocketship 7 minutes ago

10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Build and own core online world model and context fusion software running in vehicles, from architecture through deployment • Write production C++ for real-time embedded systems • Design software architecture, interfaces, and data flows across vehicle programs within CPU, memory, and latency budgets • Profile pipelines, identify bottlenecks, and improve CPU utilization, memory usage, and end-to-end latency on NVIDIA DRIVE Orin and Thor • Develop benchmarks and performance regression tests • Use CUDA GPU parallelism for compute-heavy mapping components • Integrate mapping algorithms into NVIDIA’s autonomous-vehicle stack • Develop to ASIL-B/D automotive safety standards with static analysis, safety-oriented coding guidelines, and rigorous unit and integration testing • Achieve 100% line and branch coverage • Build robust software for varied vehicle operating conditions and failure modes • Contribute to code reviews and uphold quality and safety expectations
• PhD with 1+ year, MS with 3+ years, or BS with 5+ years of relevant experience in Computer Science, Electrical or Computer Engineering, or a related field, or equivalent experience • 5+ years of experience building robust, production-quality software • 3+ years of professional modern C++ development • Strong grasp of memory management, concurrency, and performance • Experience profiling and optimizing CPU utilization, memory consumption, and latency using profilers and benchmarks • Understanding of algorithms and data structures and their performance impact • Experience designing software architecture and APIs for large, long-lived codebases • Experience with static analysis, unit testing, and high-coverage test strategies • Ability to work with algorithm developers and understand their work • Software development on embedded, real-time, or automotive platforms, including RTOS experience, functional safety standards and processes, MISRA or AUTOSAR C++ guidelines, and safety-qualified toolchains • GPGPU programming (CUDA) and GPU performance tuning • Cache-aware data layouts, memory allocation optimization, multithreading, or SIMD/vectorization • Experience with 3D geometry and graphics • Experience building efficient, reusable APIs and frameworks for complex systems
• Equity • Benefits
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