About The Position

NVIDIA is a leading artificial intelligence computing company, and we are paving the way with innovations in self-driving cars, machine learning, supercomputing, gaming, and visualization. We give automakers, tier-1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Our unified computing architecture enables training deep neural networks in the data center, and then seamlessly runs them on NVIDIA DRIVE Platforms inside the vehicle. The Hypervisor and RTOS Team within NVIDIA DRIVE Software plays a critical role in NVIDIA's expansion into the world of artificial intelligence and autonomous vehicles. Our job is to facilitate the sharing and separation of system resources while achieving real-time, safety, and security requirements. We develop Hypervisor and RTOS with a strong focus on automotive quality, safety and security needed for the real-time, highly available system level components of world-class Autonomous Vehicles. We are making extensive use of formal methods to automate our workflow and increase the quality of our SW. We are hiring now for the position of Senior System Software Engineer for Hypervisor and RTOS

Requirements

  • BS, MS in CS/CE/EE or a related engineering field or equivalent experience
  • 8+ years of experience
  • Proficiency in C, C++
  • Experience in development of core virtualization software features
  • Strong understanding of operating systems and computer architecture
  • Experience on ARM 64-bit architecture
  • Clear, concise communication skills

Nice To Haves

  • Experience with performance analysis and optimization of virtualization software
  • Knowledge of Automotive quality standards, ASPICE, ISO 26262, ISO 21434
  • Hands-on experience with formal verification methods and tools, such as Ada/SPARK and TLA+

Responsibilities

  • Develop software features that improve system performance, make effective use of hardware-assisted virtualization capabilities to minimize virtualization software overhead.
  • Develop micro benchmarks to measure and improve the cost of frequent virtualization operations
  • Design and implement core virtualization features
  • Perform WCET analysis to meet safety availability requirements
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