Senior Systems Software Engineer - Autonomous Vehicles Platform

Our Autonomous Vehicles Platform team is searching for engineers to develop and bring NVIDIA's automotive platform out to the world.

You will participate in a focused effort to develop and productize ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars.

You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving DRIVE SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines.

You'll find the work is exciting, fun, and very meaningful.

We have deadlines, customers, and competition.

What you'll be doing:

• Develop embedded real time system software responsible providing safety services for Advance Driver Assistance System
• Optimize solution to meet all product, safety and system level requirements and satisfy key performance indicators
• Adhere to development rigor that insures achieving the overall product safety goals and develop supporting work-products that align with functional safety process
• Collaborate with software, hardware, and integration teams to derive and drive system level architecture and requirements
• Regularly engage with customer teams directly to customize, integrate, and productize
• Analyze sophisticated technical issues and independently drive resolution across multiple teams
• Work in an environment which involves RTOS, Classic AUTOSAR, QNX/Linux OS, Real time embedded environment

What we need to see:

• BS, MS in CS/CE/EE, or equivalent experience
• 8+ years in a related field
• Must have detailed experience with Classic Autosar Software Stack and associated development tools
• Excellent C and C++ coding skills along with proficiency in Scripting languages
• Master of software debugging tools: software debuggers, analyzers, trace loggers
• Deep understanding of SoC principles, general systems architectures, operating systems, device drivers, memory management, multithreading, and real-time scheduling
• Excellent communication and organization skills, with a logical approach to problem solving, good time management and task prioritization

Ways to stand out from the crowd:

• Prior experience in Automotive field and usage of AUTOSAR Stack
• Background with Real time embedded environments, RTOS and tools
• Prior experience working with CAN and tools, RADAR, LiDAR is a plus
• Experience with onsite and offsite customer support

You will also be eligible for equity and benefits .

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.