Vehicle Integration Engineer

Sustainable Talent

Santa Clara, CA

JOB DETAILS
SALARY
$60–$67 Per Hour
SKILLS
Analysis Skills, Audiovisual, Automotive Automation, Automotive Engineering, Automotive Industry, Automotive Repair and Maintenance, Autonomous Driving Systems, Command Line, Communication Skills, Communications Protocols, Computer Games, Computer Graphics, Customer Support/Service, Debugging Skills, Electrical Engineering, Electronics, Emerging Technology, Ethernet, Forestry and Logging Machinery, GPS (Global Positioning System), IP (Internet Protocol), Identify Issues, Interpersonal Skills, Light Detection and Ranging (LiDAR)\Laser Detection and Ranging (LADAR), Linux Operating System, Problem Solving Skills, Root Cause Analysis, System Integration (SI), Systems Maintenance, Testing
LOCATION
Santa Clara, CA
POSTED
30+ days ago

 

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Vehicle Integration Engineer to support our client's AV Operations Team in Santa Clara, CA.  This is a W-2 full-time, short term contract role. We offer competitive pay $60-$67/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

 

In this role, you will be working with the automotive technicians and senior engineers responsible for developing and maintaining our autonomous driving platform (incl. sensors like cameras, LiDAR, radar, USS, GPS and others). We focus on reported vehicle platform issues, and you will triage those in the vehicle. You will help build, test and maintain the system and make it work flawlessly and safely on our driving platform. You are encouraged to have strong communication, interpersonal, and analytical skills. Previous hands-on experience installing, fixing, and updating (autonomous) vehicle hardware as well as in-depth experience fixing automotive bus systems (e.g. CAN, Ethernet) is a requirement. Experience with autonomous vehicle sensor suite hardware and automotive mechanical and electrical systems is highly valued! Must have the flexibility to work night and/or weekend shifts as needed.

 

What you'll be doing:

Debug/maintain and integrate systems into vehicle platforms

Triage reported in-vehicle issues (that could be related to sensors, vehicle ECUs, vehicle communication, data logging equipment, software and more)

Solve vehicle communication issues, design solutions and raise incidents where necessary

Be hands-on (incl. disassembling) in vehicles to determine root causes of reported issues

Be the "first responder" for vehicle issues

Raise suggestions for improvements to avoid reoccurring issues with the platform

 

 

What we need to see:

Hands-on experience in diagnosing automotive bus systems and working on vehicles (disassembling and assembling parts of the vehicle) and the ability to demonstrate high proficiency in these areas

Bachelor in Engineering field (Automotive, electric, IT, or similar) or equivalent experience

In-depth experience with ECU communication/protocols/technologies (e.g. CAN, FlexRay, Ethernet)

Experience with diverse automotive sensors incl. radars, cameras, ultrasonic and LiDAR

Must possess a good technical problem solving ability and attitude

Extended computer (ECU flashing, IP/Ethernet, Linux command line experience) and excellent communication skills required

Flexibility to work weekend shifts and/or evening shifts

 

 

Ways to stand out from the crowd:

Computer-savvy, ideally experience with scripting languages and Linux OS

Excellence in trouble shooting and problem solving of Automotive Electronics installations

Experience with state-of-the-art automotive bus analyzing tools (e.g. Vector CANoe/CANalyzer)

Worked with latest sensor technology for autonomous driving platforms incl. sensor calibrations

 

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

 

About the Company

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Sustainable Talent