NVIDIA
Automotive
SoftwareEngineer–AutonomousDriving(FixedTerm)
Neural analysis suggests this role is
optimal for Mid candidates.
“Software Engineer – Autonomous Driving (Fixed Term) at NVIDIA. Skills: C/C++, Control theories, Autonomous driving. Support customers in integration and adaptation. Adapt and tune Controller and Planner”
What You'll Achieve.
Meet individual vehicle dynamics KPIs
Industry & Context.
Logical approach to problem solving
Willingness to travel around Europe, Fixed Term length: 12 months
What They're Looking For.
Must Have
BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Engineering Cybernetics, Computer Science or equivalent experience, Knowledge and hands-on application background in advanced control theories (classical control, nonlinear control, MPC, optimal control, …), Minimum 2 years of experience in software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems, Understanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests, Good communication and organization skills, logical approach to problem solving, good time management and task prioritization skills, Proactive “can do” attitude, ability to work with a minimum of supervision, Willingness to travel around Europe to support NVIDIA partners
Nice to Have
Experience as control software engineer at an automotive Tier 1 or OEM, Experience in NCAP and ADAS functions testing and validation, Understanding of vehicle architecture and communication protocols (CAN, LIN, Ethernet), Driving experience in Europe, ideally certified test driver
What You'll Do.
Support customers in integration and adaptation
Adapt and tune Controller and Planner
tuning and debugging controller performance
Provide feedback for system design
Collaborate closely with teams
Influence design of next-generation architectures
Investigate impact on application performance
How You'll Work.
Team & Collaboration
Collaborate closely with the architecture, tools and system software teams
Communication Scope
Good communication skills
Process & Methodology
Good time management, Task prioritization skills
Full Job Description
NVIDIA is looking for a highly motivated Planning and Control Software Engineer to join its dynamic, collaborative and fast-paced customer delivery organization. In this role, you will become part of the organization’s efforts to extend the functionality of NVIDIA’s autonomous driving software stack. You will support the design, development and adaptation of advanced automotive control algorithms and software. This position requires solid software development skills (C/C++). Prior knowledge about trajectory planning, vehicle control, vehicle ECU, Drive-by-Wire systems, and in-vehicle network and autonomous vehicles are highly valued. Fixed Term length: 12 months **What you'll be doing: ** * Support customers in the integration and adaptation of NVIDIA's in-vehicle solutions, making sure that Controller and Planner are adapted and tuned to meet the individual vehicle dynamics KPIs. * Testing, tuning and debugging the controller performance on various platforms (different vehicle types, test campaign, simulation, …). * Provide feedback for overall system design to product level: system architecture, failure mode, system redundancy, etc. * Collaborate closely with the architecture, tools and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models by investigating impact on application performance and development productivity. **What we need to see: ** * BS, MS, or higher degree in Mechanical Engineering, Electrical Engineering, Engineering Cybernetics, Computer Science or equivalent experience * Knowledge and hands-on application background in advanced control theories (classical control, nonlinear control, MPC, optimal control, …). * Minimum 2 years of experience in software development with C/C++ for real-time embedded control systems, such as vehicle ECU systems. * Understanding of test and verification methodologies for automotive software, know-how in writing unit and system level tests.
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