Senior Systems Engineer - ADAS DRIVE
As a Senior Systems Engineer within the ADAS DRIVE organization, you will lead and manage the development and integration of embedded AV/ADAS features for next-generation vehicles. You will serve as an end-to-end capability owner, defining feature-level requirements, developing validation test plans, and ensuring performance meets expectations through both vehicle testing and simulation. Your daily work involves collaborating with software and hardware teams to integrate complex electro-mechanical systems while navigating agile development cycles. To succeed, you must possess a deep technical understanding of ADAS features, the ability to read code for root cause analysis, and proficiency in Python or other shell scripting. You will also utilize computer-based tools to analyze large amounts of data, triage test results, and manage risks related to system integration and performance within the automotive domain.
What does a Systems Engineer earn?
Median $154916 from 223 postings across 34 companies.
Define and manage feature-level requirements for embedded AV/ADAS features.
Lead technical solutions and negotiate requirements with internal and external stakeholders.
Act as the end-to-end capability owner to test and integrate systems in vehicles and simulations.
Triage and analyze test data from simulation and vehicle testing to guide development priorities.
Create test cases that trace back directly to specific feature requirements.
Identify system integration risks and develop effective mitigation strategies.
Mentor junior engineers and foster a culture of technical excellence within the team.
What we're looking for
Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Systems Engineering, or a related technical discipline.
Minimum of 5 years of technical/engineering experience with complex electro-mechanical systems in automotive, robotics, or embedded industries.
In-depth technical understanding of ADAS features and the ability to read code to root cause and triage problems.
Ability to use computer-based tools to collect and analyze data while managing multiple priorities.
Strong technical and non-technical communication skills to collaborate with multi-functional teams.
Master’s degree in Engineering (preferred).
Experience with automotive safety/convenience features, ADAS systems, or performance integration and validation (preferred).
Hands-on programming experience with Python or shell scripting; experience with virtualization, simulation development, and mentoring others (preferred).
Systems Engineering
Agile
Requirements Management
System Modeling
Software Integration
verification, and validation
AI
Fire Control Systems
Documentation Management