NVIDIA

3 weeks ago

Senior Test Engineer - Autonomous Driving

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 36 minutes agoStatus: Live

Job Summary

Lead testing strategy and validation for L2–L4 autonomous driving systems, defining vehicle platform test plans, KPIs, and end-to-end test campaigns. Collaborate across engineering, safety, and product teams to ensure functional, safety, and performance requirements are met, while driving data-driven issue resolution and establishing a systems engineering approach.

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Develop test strategy and use cases/scenarios for L2+, L3 & L4 Autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines
•Define test strategy and execution plan on Vehicle Platform
•Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements
•Close collaboration with different stakeholders to define the KPIs and evaluate the product progress by closing the loop with test data/results
•Establish strong multi-functional relationships with collaborators across engineering, safety, and product teams

Key Requirements

•MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience)
•8+ years proven experience in ADAS Technology, Vehicle Testing, system analysis, data analysis, and software architecture
•Proficiency in programming languages commonly used in AV development and testing (e.g., Python, C++) and familiarity with data query and analysis tools
•Awareness of functional safety (ISO 26262), Safety of the Intended Functionality (SOTIF / ISO 21448), and V-model validation methodologies
•Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations

Experience:8+ yearsAutonomous drivingADASVehicle testingData analysisAV development

Education:Master's

Skills:LeadershipCommunicationProblem-solving

Tech Stack:PythonC++ISO 26262SOTIFV-modelADASLiDARRadarCamera

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

3 weeks ago

Senior Test Engineer - Autonomous Driving

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 36 minutes agoStatus: Live

Job Summary

Location: Munich

Workplace: Onsite

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Develop test strategy and use cases/scenarios for L2+, L3 & L4 Autonomous driving products based on customer needs, traffic regulations, certification standards, and industry guidelines
•Define test strategy and execution plan on Vehicle Platform
•Formulate test cases and define critical performance metrics to ensure compliance with functional and safety requirements
•Close collaboration with different stakeholders to define the KPIs and evaluate the product progress by closing the loop with test data/results
•Establish strong multi-functional relationships with collaborators across engineering, safety, and product teams

Key Requirements

•MS or PhD in Engineering, Physics, Computer Science, or a related field (or equivalent experience)
•8+ years proven experience in ADAS Technology, Vehicle Testing, system analysis, data analysis, and software architecture
•Proficiency in programming languages commonly used in AV development and testing (e.g., Python, C++) and familiarity with data query and analysis tools
•Awareness of functional safety (ISO 26262), Safety of the Intended Functionality (SOTIF / ISO 21448), and V-model validation methodologies
•Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations

Experience:8+ yearsAutonomous drivingADASVehicle testingData analysisAV development

Education:Master's

Skills:LeadershipCommunicationProblem-solving

Tech Stack:PythonC++ISO 26262SOTIFV-modelADASLiDARRadarCamera

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor