NVIDIA

3 months ago

Senior Software Test Engineer, L3 and L4 - Autonomous Driving

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Develop test strategy and use cases for L3/L4 autonomous driving products, define vehicle-plant test plans, and establish KPI-driven validation. Collaborate with engineering, safety, and product teams to drive test data-driven decisions, mentor junior engineers, and lead end-to-end vehicle integration and retesting to accelerate testing schedules.

Location: Munich

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Develop test strategy and use cases/scenarios for L3 and 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).
•10+ years proven experience in ADAS, system analysis, data analysis, and software architecture.
•3+ years of experience driving the mass-production launch of autonomous driving products, including supervised FSD, urban NOA, or equivalent features.
•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.

Experience:ADASAutonomous drivingData analysisSoftware architecture

Education:Master's

Skills:PythonC++Data analysisIS0 26262SOTIFV-modelADASAutonomous drivingTestingLeadership

Languages:English

Tech Stack:PythonC++Data analysis toolsISO 26262SOTIFV-model

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 months ago

Senior Software Test Engineer, L3 and L4 - Autonomous Driving

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Munich

Workplace: Hybrid

Employment Type: Full time

Job Function: QA, Test & Release Engineering

Key Responsibilities

•Develop test strategy and use cases/scenarios for L3 and 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).
•10+ years proven experience in ADAS, system analysis, data analysis, and software architecture.
•3+ years of experience driving the mass-production launch of autonomous driving products, including supervised FSD, urban NOA, or equivalent features.
•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.

Experience:ADASAutonomous drivingData analysisSoftware architecture

Education:Master's

Skills:PythonC++Data analysisIS0 26262SOTIFV-modelADASAutonomous drivingTestingLeadership

Languages:English

Tech Stack:PythonC++Data analysis toolsISO 26262SOTIFV-model

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