NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
The NVIDIA Edge AI systems, including DRIVE and JETSON, are the world's leading platform for physical AI, autonomous machines, robotics, edge computation, industrial, and other embedded applications. NVIDIA is driven to deliver the best possible performance which allows researchers and scientists to do more world-changing work than ever before.
What you'll be doing:
Report, guide, and advise NVIDIA Jetson & DRIVE marketing teams to boost customer engagement using competitive data analysis and set the industry performance bar for Embedded & Automotive applications.
Develop, run, and automate performance and power benchmarks across Jetson, DRIVE, and competitive platforms in both manual and CI environments.
Configure lab systems and DUTs, including wiring to power measurement equipment (e.g., Agilent/NI DAQs) and preparing software stacks.
Develop, scale, and maintain benchmarking and test automation tools; integrate third-party tools into the software infrastructure.
Compile, configure, and validate Embedded and Automotive Artificial Intelligence frameworks and SDKs; integrate and debug within an evolving test infrastructure.
Analyze benchmark data, build dashboards/visualizations, and deliver clear reports and guidance to engineering and marketing teams.
Identify, triage, and resolve performance/power bottlenecks with Edge AI software/hardware and product teams; tune systems for maximum efficiency.
Translate customer requirements into test plans and methodologies; supply insights that influence next-gen SoC and toolchain design.
What we need to see:
A Bachelor’s degree or Master’s degree (or equivalent experience in a technical field).
2+ years of significant industry experience (performance engineering and software development preferred).
Advanced knowledge of Linux (debugging and configuring) and proficient in compiling software from source.
Excellent programming and debugging skills in a scripting language such as Python and/or Unix Shell.
Background with performance/power testing or optimizations.
Experience with lab equipment such as DMMs, Agilent DAQs, National Instrument DAQs.
Knowledge of benchmarking fundamentals, performance analysis, and data comparisons.
Familiarity with writing technical reports, data analysis, and comparison charts
Ways to stand out from the crowd:
Eager and passionate about joining NVIDIA.
Familiarity with NVIDIA GPU products and technologies.
Experience using GPU accelerated deep learning frameworks such as Caffe, Torch, TensorRT, or TensorFlow
Comprehension of CUDA, CUDNN, OpenCL, or other GPU/Graphics libraries
Proven understanding of JETSON, DRIVE, Embedded systems, SoCs, or ASICS.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 108,000 USD - 184,000 USD for Level 2, and 136,000 USD - 212,750 USD for Level 3.You will also be eligible for equity and benefits.