Software Engineering Manager, Test Engineering

Key Skills

Aartificial intelligence, AI Robotic systems, Docker, Jenkins, KPIs, Leadership Skill, Machine learning techniques, Planning and organization

Job Description

The Automotive Vehicles Test Engineering team is searching for a creative and experienced Software Engineering Manager in Test Engineering to help us bring NVIDIA's autonomous vehicle solution out to the world. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition.

We are at the forefront of technology, transforming the future of transportation through our commitment to developing self-driving vehicles.

What you'll be doing:

• Technically lead and manage a team that will create and manage simulation and log replay testing.

• Lead and manage a team that will identify, triage, and resolve system-level issues that affect our AV performance and test infrastructure.

• Working with development, systems engineering, release management & other AV teams to test the upcoming releases and ensure that they are at a sufficient quality level without regressions.

• Drive the automation of dataset curation and GT labeling processes to bolster development of critical end-to-end product KPIs

• Drive the analysis, health, accuracy and monitoring of product KPIs, understand the current state of our software and inform product priorities.

• Lead high priority activities and programs across teams, driving issues to resolution, rapidly prototyping and executing on processes to drive solutions.

What we need to see:

• BS, MS, or higher degree, in Mechanical Engineering, Electrical Engineering, or Computer Science or equivalent experience.

• 5+ overall years of software engineering and data analysis experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.

• 4+ years managing a team.

• Prior experience managing managers in a fast-paced environment, delivering complex software products.

• Well-rounded knowledge of how an autonomous vehicle stack works, and practical experience dealing with the challenges in this area.

• Strong leadership, interpersonal, and communication skills, with the ability to drive consensus and alignment across large organizations.

• Demonstrated ability to perform in situations with high ambiguity and competing priorities.

Ways to stand out from the crowd:

• Experience with scaling the use of autonomous vehicles simulation frameworks.

• Prior experience with Bazel, Docker, Jenkins.

• Knowledge of AI/ML systems, or a background in working with AI-native systems.

• Prior experience in large-scale simulation for hardware or software validation of any robotics solution.