NVIDIA · 1 month ago
Performance Engineer, Embedded – Edge AI
US, CA, Santa Clara
Full-time
Onsite
Entry, Mid Level
$108K/yr - $184K/yr
2+ years expNVIDIA is a leader in computer graphics and AI technology, seeking a Performance Engineer for their Embedded systems. In this role, you will analyze performance data, develop benchmarking tools, and guide marketing teams to enhance customer engagement in Embedded & Automotive applications.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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 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
Qualification
Required
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
Preferred
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
Benefits
Equity
Benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
GlobeNewswire
2026-01-13
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