NVIDIA

3 weeks ago

Senior Software Engineer, World Model Systems Engineering - Autonomous Vehicles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Help productize autonomous-vehicle perception solutions by defining system requirements, performance budgets, validation plans, and success metrics. Analyze data to model scenarios, establish dashboards, and ensure verification and validation of world-model stacks. Partner with hardware engineering, safety, software developers, and product teams to deliver perception and mapping/localization capabilities that meet NVIDIA and automotive standards.

Location: Santa Clara, United States

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop perception, mapping, and localization system requirements from use cases and customer requirements.
•Perform analysis to define performance requirements and allocate performance budgets.
•Plan validation by formulating test cases and critical metrics to ensure compliance with requirements.
•Analyze data and develop dashboards to support system performance evaluation.
•Collaborate with hardware engineering, safety, developers, and product teams to build the right product.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•MS or PhD in Engineering, Physics, Computer Science, Data Science, or related field (or equivalent experience).
•8+ years systems engineering experience on complex systems, including systems analysis, data analysis, and statistical analysis.
•Experience with verification and validation of world model stacks.
•Proficiency with SQL and Python or C++.
•Knowledge of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition.

Experience:8+ yearsAutonomous vehiclesMachine learningComputer visionSystems engineering

Education:Master's in Engineering, Physics, Computer Science, Data Science

Skills:LeadershipInterpersonal skillsAlignmentAnalysis

Tech Stack:SQLPythonC++Fault Tree Analysis (FTA)MTBF

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 Software Engineer, World Model Systems Engineering - Autonomous Vehicles

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Santa Clara, United States

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Develop perception, mapping, and localization system requirements from use cases and customer requirements.
•Perform analysis to define performance requirements and allocate performance budgets.
•Plan validation by formulating test cases and critical metrics to ensure compliance with requirements.
•Analyze data and develop dashboards to support system performance evaluation.
•Collaborate with hardware engineering, safety, developers, and product teams to build the right product.

Pay and Benefits

Salary: USD 184,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•MS or PhD in Engineering, Physics, Computer Science, Data Science, or related field (or equivalent experience).
•8+ years systems engineering experience on complex systems, including systems analysis, data analysis, and statistical analysis.
•Experience with verification and validation of world model stacks.
•Proficiency with SQL and Python or C++.
•Knowledge of failure analysis methodologies such as Fault Tree Analysis (FTA) and MTBF decomposition.

Experience:8+ yearsAutonomous vehiclesMachine learningComputer visionSystems engineering

Education:Master's in Engineering, Physics, Computer Science, Data Science

Skills:LeadershipInterpersonal skillsAlignmentAnalysis

Tech Stack:SQLPythonC++Fault Tree Analysis (FTA)MTBF

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