Senior Software Engineer – Test, Autonomous Vehicles

NVIDIA

. Design, develop, improve and maintain metrics and test sets that support large-scale KPIs and performance measurements for autonomous driving systems .

Posted 9/21/2026full-timeUnited StatesSenior💰 $152,000 - $287,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in software engineering and data analysis, particularly in simulation and autonomous systems, with a strong focus on Python programming and test-driven development. Capable of mentoring junior engineers and driving improvements in test solutions and simulation infrastructure.

Highest-signal resume keywords

Python ProficiencySoftware Engineering PracticesSimulation FrameworksAI/ML Systems ExperienceTechnical Troubleshooting

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Hard Skills

Software EngineeringData AnalysisTest-Driven DevelopmentSimulation InfrastructureKPI Performance MeasurementAutonomous SystemsRoboticsArtificial IntelligenceProblem-SolvingAnalytical Skills

Soft Skills

Communication SkillsCollaboration SkillsCuriosityMentoringProblem Solving

Certifications & Qualifications

BS in Engineering or ScienceMS in Engineering or SciencePhD in Engineering or Science

Industry Keywords

Autonomous DrivingSimulationAI-Native SystemsRobotics SolutionsPerformance Reliability

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Design, develop, improve and maintain metrics and test sets that support large-scale KPIs and performance measurements for autonomous driving systems
Collaborate across engineering, infrastructure, test engineering, and release to build and scale test solutions that address gaps in coverage and frameworks and mitigate risks to the project
Build and drive improvements to tools that automate and scale test sets through metrics, data quantity, quality, and diversity, enabling a culture of test-driven development across the company
Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving
Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of KPIs and simulation frameworks
Build robust and scalable simulation infrastructure to test and validate self-driving technology over millions of virtual miles
Integrate work across vehicle subsystems into NVIDIA's AV software platform while achieving or exceeding NVIDIA and automotive standards and guidelines

Requirements

What you’ll need

BS (or equivalent experience), MS, or PhD in Engineering or Science field
5+ years of software engineering and data analysis experience, preferably in simulation, autonomous systems, robotics, artificial intelligence or related areas
Proficiency in Python and a deep understanding of software engineering practices
Excellent problem-solving, analytical skills, and technical troubleshooting skills
Strong communication and collaboration skills
Demonstrated ability to perform in situations with high ambiguity and competing priorities
Curiosity and a desire to “get into the weeds” of a problem
Background with scaling the use of autonomous vehicles simulation frameworks
Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems
Experience in large-scale simulation for hardware or software validation of any robotics solution

Benefits

Comp & perks

Equity
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