NVIDIA
Full TimeDesign and optimize computer vision applications for NVIDIA's programmable vision accelerator targeting autonomous vehicles and robotics. The role involves performance modeling, architecture analysis, and prototyping on existing and future hardware, plus building tools to predict performance and power consumption. You'll need a Master's degree or equivalent experience, 3+ years in computer architecture or high-performance computing, and strong C/C++ skills. DSP programming, deep learning, and autonomous vehicle software experience are valued.
Written from this posting by Neural Jobs AI. The full description is below.
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
Sign in and we will show how your role, experience, salary and location line up against what this employer asked for.
Check my match
NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
China
Search by role, company, or anything a posting mentions.
