Nvidia Senior Platform Safety Analysis Engineer DRIVE 

United States, Texas 

658925860

What you'll be doing:

• Work closely with other teams of safety engineers both at NVIDIA and our customers to derive Compute Platform Safety Requirements through analysis of Technical Safety Requirements and the capabilities of the underlying hardware and software.

• Analyze and refine the safety architecture down the left side of the V-Model by establishing requirement traceability from the Application to the DRIVE Platform.

• Develop technical safety concepts (TSC, TSRs, SSRs) for Platform software functions such as state management, error and degradation, graph execution, sensor processing, and start-up / shutdown functionalities.

• We will look to you to ensure the integration of the Autonomous Driving Applications and the underlying platform services meet all defined safety goals.

• Find opportunities for innovation and automation to improve efficiency.

What we need to see:

• BS, MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience

• 5+ years (or equivalent) experience in systems architecture or related fields.

• We seek technically strong engineers who bring experience in safety analysis of embedded systems at low level and can find the right level of abstraction adapted to the tasks in hand.

• Experience with safety analysis methods (e.g. FMEA, FTA) for complex software and hardware platforms.

• Familiarity with safety standards (ISO 26262, IEC 61508, ISO/PAS 21448)

• Experience in the redaction of safety requirements and/or other safety collateral such as safety manuals and safety reports in an agile environment

Ways to stand out from the crowd:

• Hands-on experience with systems engineering methodologies such as model-based approaches, peer review processes, risk management, requirements verification and traceability, validation and verification, and architectural decomposition.

• Strong background in software & hardware automotive ECU architecture. Experience in development of safety architectures for Sensor subsystems (Camera, LIDAR, Ultrasonics, Radar)

• Ability to understand and perform high-level, safety orientated, analysis of modern C++ codebases and API specifications at different levels

• Knowledge of embedded operating systems (e.g. QNX) is especially valued.

• Track record of adaptation of common safety standards to AI-based and high complexity systems.