Performance Engineer, Embedded – Edge AI

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Today NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. 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.

Responsibilities

• 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 AI 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.

Requirements

• 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 proficiency 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 (preferred)

• 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.

Compensation & Benefits

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 (see https://www.nvidia.com/en-us/benefits/).

Additional information

Applications for this job will be accepted at least until November 30, 2025.

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. We do not discriminate in our hiring and promotion practices on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.