As an experienced Systems Engineer joining NVIDIA’s Autonomous Driving team, you will develop use cases and system requirements for L3 and L4 autonomous driving products, ensuring compliance with customer needs, traffic regulations, and industry standards. Your day-to-day responsibilities include performing system-level analysis to allocate performance budgets across subsystems, defining test cases, and establishing a robust test strategy at both vehicle and component levels. You will collaborate closely with Data Analytics, Test Engineering, and System Integration & Test teams to ensure comprehensive coverage of critical scenarios and metrics. The ideal candidate has an MS or PhD in a relevant field, 8+ years of experience in safety-critical systems engineering, and proficiency in Python, SQL, and C++. Hands-on experience with SOTIF analysis, functional safety standards, and large-scale datasets is essential, as you will drive innovation in requirements decomposition and verification processes while fostering a strong systems engineering approach across the organization.
Develop use cases and system requirements for L3 and L4 autonomous driving products.
Perform system-level analysis to define performance budgets across subsystems.
Formulate test cases and critical performance metrics for compliance.
Define and execute online and offline tests at vehicle and component levels.
Partner with Data Analytics, Test Engineering, and System Integration teams.
Drive innovation in requirements decomposition and verification processes.
Establish strong multi-functional relationships with engineering and safety teams.
What we're looking for
MS or PhD in Engineering, Physics, Computer Science, or related field with 8+ years of safety-critical systems engineering experience.
Proven expertise in SOTIF analysis, functional safety standards (ISO 21448, ISO 26262), and multi-functional architectural trade-offs.
Strong software development background with coding skills in Python, SQL, and C++.
Experience leading and driving alignment across large organizations in autonomous vehicle programs.
Hands-on experience with AI safety validation for ML-based systems and large-scale datasets.
Market check
Salary context
This
$184,000–$287,500
range sits above
85%
of similar postings on FindRole.
Peer median band
$139,000–$234,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$146,287–$235,750
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
802 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 798 roles with salary data.
Us, Ca, Santa Clara, US65 days ago
$184,000–$287,500
C++
CUDA
ROS
Radar
Lidar
Camera
Ultrasonic sensors
Data association algorithms
Sensor fusion
Multi-view geometry
Occupancy grid tracking
CI/CD
Git
Linux