Performance Engineer, Embedded – Edge AI at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Embedded Systems, Automotive, RoboticsIndustries

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 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

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

Skills

Key technologies and capabilities for this role

JetsonDRIVEperformance benchmarkspower benchmarksCI automationDAQbenchmarking toolstest automationAI frameworksSDKsdata analysisdashboardsvisualizationsEmbedded LinuxAutomotive AI

Questions & Answers

Common questions about this position

What education and experience are required for this Performance Engineer role?

A Bachelor’s degree or Master’s degree (or equivalent experience in a technical field) is required, along with 2+ years of significant industry experience in performance engineering and software development preferred.

What key technical skills are needed for this position?

Advanced knowledge of Linux (debugging and configuring), proficiency in compiling software from source, excellent programming and debugging skills in Python and/or Unix Shell, and experience with performance/power testing or optimizations are required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position, or is there a location requirement?

This information is not specified in the job description.

What is the company culture like at NVIDIA?

NVIDIA offers a diverse, supportive environment where everyone is inspired to do their best work, fueled by innovation and great technology.

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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