Senior Manager, Robotics Quality Assurance at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Robotics, AI, TechnologyIndustries

Requirements

B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field (or equivalent experience)
12+ overall years aligned Hardware Engineering experience with 3+ years of demonstrable experience in QA involving Robotics or Hardware Engineering
5+ years of leading a team
Proficiency with AI Tools such as Cursor, Github Copilot, Perplexity, and ChatGPT
Experience with ML and training/testing Robotics Models
Fleet management, telemetry and debug, along with managing demos
Engage closely with a range of cross functional teams including project management, hardware and software developers, and routinely share statistical data reports with all customers, including Top-5
Ability to translate organizational goals to QA deliverables
Strong problem solving and analytical skills with excellent communication skills
Ways to stand out from the crowd
Incorporating Vision-Language Models (VLMs) - Designing, developing, and deploying robots that can understand and respond to both visual and linguistic inputs, enabling them to perform complex tasks through natural language commands and visual scene interpretation
Teleoperation – Manipulation and setting up data collection labs
Fluent in scripting in Python

Responsibilities

Define and drive the overall test engineering strategy for robotics products, establishing an engineering-focused approach to quality encompassing design for scalable test frameworks, tools, and methodologies and lead product testing and engineering efforts across a full-stack robotics solution
Deliver test automation development for “On-Robot Hardware & Software” and embedded software running on NVIDIA Jetson AGX Thor platform encompassing sensor integration validation, real-time performance, and low-level control systems
Architect and implement rigorous test plans to validate “AI Foundation models”, like Isaac GR00T, focused on performance, safety, and reliability in real-world scenarios, including testing model outputs, identifying edge cases, and ensuring robustness
Build and maintain the test infrastructure within “Simulation & Digital Twins” environments, Isaac Sim and Isaac Lab, developing automated tests verifying physics engine accuracy and the transferability of learned policies from simulation to the real robot
Oversee test automation development for the full “Robotics Software Stack”, including Isaac ROS, and its integration with other robotic components
Architect, build, and maintain the test infrastructure for a humanoid reference platform showcasing the power of NVIDIA's technology and develop testing methodologies bridging the "sim-to-real" gap, creating a continuous feedback loop between virtual and physical testing
Lead design of complex test scenarios in Isaac Sim/Lab that use generative AI to stress-test robot policies, ensuring that models trained in simulation (using Isaac GR00T) perform reliably on real physical hardware

Skills

Key technologies and capabilities for this role

Test AutomationEmbedded SoftwareJetson AGX ThorSensor IntegrationReal-time PerformanceLow-level Control SystemsIsaac GR00TIsaac SimIsaac LabIsaac ROSSim-to-Real TestingDigital TwinsGenerative AIPhysics EngineROS

Questions & Answers

Common questions about this position

What experience level is required for this Senior Manager role?

The role requires 12+ years of overall Hardware Engineering experience, with 3+ years in QA involving Robotics or Hardware Engineering, and 5+ years of leading a team.

What education is needed for this position?

A B.S. or equivalent experience in Mechanical/Electrical/Computer Engineering or related field is required.

What specific skills and tools are required?

Proficiency with AI tools such as Cursor, Github Copilot, Perplexity, and ChatGPT is required, along with experience in ML and training/testing Robotics Models, fleet management, telemetry, debug, and managing demos.

Is this a remote position or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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