Senior Autonomous Driving Systems Engineer (L3/L4)

NVIDIA

United States

On-site

USD 184,000 - 357,000

Full time

5 days ago
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Job summary

NVIDIA is seeking a Senior Systems Engineer for autonomous driving in the United States. You will develop use cases and system requirements for L3/L4 products, perform system-level analysis, allocate performance budgets, and drive test strategies at vehicle and component levels.

Ideal candidates have 8+ years in safety-critical systems engineering, a strong software background (Python, SQL, C++), and an MS/PhD in Engineering, Physics, or CS.

Qualifications

  • MS or PhD in Engineering, Physics, Computer Science, or related field (or equivalent experience).
  • 8+ years of experience in safety-critical systems engineering and related areas.
  • Strong software development background with coding skills.
  • Experience with ISO 21448 and ISO 26262 standards.
  • Ability to lead and align large organizations across teams.

Responsibilities

  • Develop use cases and system requirements for L3/L4 autonomous driving products.
  • Perform system-level analysis to define performance requirements.
  • Define test cases and metrics to ensure safety and functionality.
  • Define and drive online and offline test strategies at vehicle and component levels.
  • Collaborate with Data Analytics, Test Engineering, and System Integration teams.
  • Ensure datasets cover sufficient scenarios and requirements.
  • Promote a systems engineering approach and cross-functional collaboration.

Skills

8+ years exp
Safety-critical
System analysis
Data analysis
Software architecture
Python
C++
Leadership

Education

MS or PhD in Engineering/Physics/CS

Tools

Python
SQL
C++

Job description

NVIDIA is seeking a Senior Systems Engineer for autonomous driving in the United States. You will develop use cases and system requirements for L3/L4 products, perform system-level analysis, allocate performance budgets, and drive test strategies at vehicle and component levels.

Ideal candidates have 8+ years in safety-critical systems engineering, a strong software background (Python, SQL, C++), and an MS/PhD in Engineering, Physics, or CS.

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