
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.
🕒 August 7
🏄 California – Remote
💵 $224k - $431.3k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 1%
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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.
• Optimize system software for NVIDIA automotive performance platforms with Safe RTOS • Collaborate with Hardware Architecture, DriveOS, Power, and Test teams to track boot and runtime performance benchmarks • Supervise micro benchmarks and industry-standard benchmarks across IPs • Develop innovative features in automotive profiling tools with AI assistance • Benchmark the hypervisor and minimize overhead on ARM systems • Collaborate with the ADAS/AV team to optimize the next-generation NVIDIA stack on Tegra platforms
• Master’s degree in computer science, Engineering, or a related field, or equivalent experience • Minimum 12 years of proven experience in systems or software performance • Solid C/C++ programming abilities • Previous experience in the automotive sector • Proficiency in Linux and QNX • Knowledge of Android is advantageous but not mandatory • Understanding of benchmarking, boot time optimization, compiler optimizations, and runtime performance improvements • Knowledge of hypervisors, virtualization, and overhead analysis • Experience with profiling utilities to improve system software efficiency • AI/ML experience is highly desirable
• Competitive salaries • Comprehensive benefits package • Equity • Benefits for employees and their families
Apply Now🕒 August 7
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