Nvidia Senior System Software Engineer 

India, Karnataka, Bengaluru 

581967461

What you’ll be doing:

• Design and develop safety (ISO26262) and security (ISO21434) compliant system software for NVIDIA DRIVE platform for autonomous vehicles

• Design simple and creative solutions for complex system problems, by decomposing the problem into smaller problems.

• Design Real Time System Software solutions for NVIDIA Tegra SOC

• Perform development & bring-up activities for next-generation Tegra SOC hardware

• Work with the ASIC teams to enhance virtualization support in the SOC

• Design debugging solutions and tooling to improve developer experience on DRIVE platform

• Learn to harness maximum and consistent system software performance and develop workflows and tools to measure performance

• Handle complex issues requiring interactions between components partitioned across the large software stack

• Extensively use Formal Methods to develop high integrity software, benefiting from enhanced toolchain automation.

What we need to see:

• Bachelors/Masters or equivalent experience in Computer Science from a reputable engineering college

• 8+ years of experience in System Software development on real time embedded systems

• Strong understanding of computer architecture and operating system fundamentals

• Strong C/C++ and/or Ada/SPARK programming and debugging skills

• Hands-on experience with debugging tools like gdb, valgrind

• A dedicated, action-oriented, strong teammate, who’s self-motivated with excellent analytical and interpersonal skills

Ways to stand out from the crowd:

• In-depth knowledge of embedded systems and real time operating systems, like QNX and RT Linux skills

• Good understanding of ARM architecture and writing low level software for ARM v8 based SOCs

• Experience in taking features from inception to the product following Software Development Life Cycle (SDLC) practices

• Hands-on experience with performance analysis tools, such as gprof, perf, system analyzer tools

• Hands-on experience with formal methods, especially using TLA+ and Ada/SPARK toolchains.