We’re looking for an Autonomous Vehicle Performance Architecture Engineer. NVIDIA MMPLEX PVA team is designing the state-of-art programmable vision accelerator (PVA) which targets the automotive and robotic area. We are responsible for the architecture modeling, designing and verifying. We also deliver most high-performance/efficient computer vision applications and kernels to the world-wide customers.
What you'll be doing
- Work on delivering most efficient software on PVA for Autonomous Driving solutions
- Analyze, prototype and optimize key applications for both existing and new architectures for PVA
- Build model to predict performance, power and reliability on future architectures and propose and evaluate new architecture features
- Be involved in crafting tools to analyze, simulate, validate and verify application performance and energy consumption
- Collaborate with different teams to improve the PVA architecture to extend the state of the art in performance, efficiency, reliability and programmability
What we need to see
- Master's or PhD (or equivalent experience)
- 3+ years of experience equivalent experience in relevant discipline (CE, CS&E, CS, AI)
- Excellent C/C++ programming and software design skills
- Strong background in computer architecture, high performance computing
- Performance modelling, profiling, debug, and code optimization or architectural knowledge of CPU and DSP
Ways to stand out from the crowd
- DSP programming, performance analysis, modelling and optimization experience (GPU programming experience is a plus)
- Autonomous vehicle software development experience
- Expertise in characterizing and modeling system-level performance, executing comparison studies, and documenting and publishing results
- Experience in deep learning, computer vision and self-driving car domain