NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are searching for a creative and highly motivated engineer with expertise in system software to join the Tegra System Software organization. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.
What you will be doing:
Design, develop and test key aspects of our GPU kernel driver and embedded firmware with a focus on enabling best-in-class power, performance, security and safety that will be used across Linux, QNX and Android.
Work closely with multi-functional teams such as Hardware and Software teams to understand requirements for new hardware, SW APIs and implement solutions ranging from low level hardware abstraction layers to SW utilizing OS Kernel SW.
Perform Safety, Security analysis of the design and implement mechanisms to stay in sync with product specific safety/security requirements.
What we need to see:
BS/MS degree in Electronics/Computer Engineering, Computer Science, or related degree (or equivalent experience).
5+ years of relevant software development experience.
Hands on technical experience and demonstrated excellence in an environment with complex software and hardware designs.
Strong understanding of Multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers and real-time programming.
Outstanding C programming and low-level driver experience.
Experience with ARM based processor architecture.
Ways to stand out from the crowd:
Previous experience in architecting and developing GPU kernel driver.
Understanding of GPU software stack across user space, kernel and firmware.
Previous experience with system architecture involving virtualization
Experience in Pre-Silicon/Post-Silicon bring up of complex SoCs.
You can design simple systems that work optimally without needing much support.
We are widely considered to be one of the technology world’s most desirable employers, and as a result have some of the most forward-thinking and hardworking people in the world working for us. So if you're resourceful, creative, and driven, we'd love to have you join the team.