Nvidia Senior Director Engineering - AV Infrastructure 

United States, California 

427754409

What you'll be doing:

• Lead and deliver a complete platform debugging environment including recording, telemetry, OTA to the AV function and customer teams

• Deliver data collection platform to support dense data campaigns

• Maintain and support the car and bench fleet with regression free platform updates and direct engineering support when platform issues occur

• Achieve egomotion and dynamic calibration AV function

• Delivering production car non-driving functions including production recorders, parking damage recorders, scenario recorders/shadow mode, diagnostics, etc

• Implement selected cockpit features including DMS/OMS and advanced visualization such as surround view

• Scale the AV platform to multiple car models and multiple customers includingdeveloping/optimizingthe architecture and abstraction layers which enable this scaling

• Fulfill DriveWorks middleware for Drive OS customers independent of AV function.

• Foster innovation, trust and excellence within your organization and the broader AV unit

• Grow managers and senior ICs into NVIDIA leaders

What we need to see:

• BS, MS, or PhD or equivalent experience in Computer Science, Computer Engineering, Mathematics, Physics, or related field

• 8+ or more years of experience in leading/managing a software development team in car platforms to AV functional layers

• 15+ or more overall years of relevant experience in software design, including debugging, performance analysis, and testing designs

• Set objectives, strategies and monitor execution and KPIs to deliver above

• Work with AV management team on roadmap and strategy planning

• Work with HW and product teams on next generation platform designs

• Excellent communication skills and the ability to lead multi-functional efforts

• Develop and maintain a high-performance management team

• Deep software background focusing on premise Infrastructure as well as CSPs

• Must have owned and operated one or more things at scale

• Ideally can speak deeply from “layer 2 to 7” with ease

• Autonomous Vehicles and embedded software experience a big plus

• Hands on experience with the AI development loop for a robot, ideally has either fully owned or been a significant part of that loop

• Proven leadership of cross functional and matrixed teams

• Operational and metrics mindset, KPI and SLA driven

• Adaptable and innovative, flourishes in a startup-like environment, can handle ambiguity with intention