Senior System Software Engineer, Automotive Performance

🕒 May 19

🏄 California – Remote

🏄 California – Remote

💵 $224k - $431.3k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

Artificial Intelligence • Gaming • Automotive

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.

📋 Description

• Play a key role in optimizing system software for Nvidia automotive performance platforms with Safe RTOS. • Collaborate closely with Hardware Architecture, DriveOS, Power, and Test teams to track key boot & runtime performance benchmarks. • Ensure the software and hardware meet projected targets by closely supervising micro benchmarks and industry-standard benchmarks across IPs. • Contribute to developing innovative features in automotive profiling tools with AI assistance. • Benchmark the hypervisor and ensure the lowest overhead on ARM systems. • Collaborate with the ADAS/AV team in optimizing the next-gen stack from NVIDIA on Tegra platforms.

🎯 Requirements

• Master’s degree in computer science, Engineering, or a related field, or equivalent experience • A minimum of 12 years of proven experience in systems or software performance • Solid C/C++ programming abilities accompanied by previous experience in the automotive sector • Proficiency in Linux and QNX; Knowledge of Android is advantageous but not mandatory • Solid understanding of Benchmarking, boot time optimization, compiler optimizations and runtime performance improvements • Knowledge of hypervisors, virtualization, and overhead analysis • Experience working with profiling utilities to improve system software efficiency • AI/ML experience is highly desirable.

🏖️ Benefits

• Competitive salaries • Comprehensive benefits package • Equity eligibility