Nvidia Senior System Software Engineer Infrastructure - Autonomous Vehicles 

United States, California 

740576550

What you will be doing:

• Develop the services, tools to orchestrate behavioral tests at substantial scale for Autonomous Vehicles software validation.

• Embed in Autonomous Vehicle teams and cloud platform teams and deeply understand AV needs on a technical level. Use this expertise to onboard NVIDIA partners onto the AV platforms.

• Craft solutions for the next generation of software development and debugging platforms using real and synthetic / simulated datasets for autonomous driving.

• Collaborate with different AV software groups and design teams to understand and build software tools for analyzing errors, metrics, and other relevant data.

• Analyze complex technical issues and build, develop, and deploy reusable, generalized, and customized solutions that integrate our AI platform.

• Deliver rapid iterations of software based on user feedback and metrics.

• Build scalable distributed systems, compute and data pipelines, metrics ingestion pipelines that help index, mine, transform, analyze, develop, and debug deep learning datasets and applications.

• Collaborate across org boundaries with a diverse set of hardware and software engineers.

• Showcase your creativity and technical excellence to realize the future of self-driving cars!

What we need to see:

• Bachelors or master's in computer architecture, Computer Science, Electrical Engineering, Mathematics, or related field (or equivalent experience).

• 8+ years of proven experience in designing and developing production level and enterprise scale software that includes distributed backend systems and web application development.

• 8+ years of prior experience deploying, upgrading, migrating, and driving user adoption of sophisticated enterprise scale systems.

• Possess advanced programming skills to build debug and tune distributed storage and compute systems, Linux internals, backend services, microservices, web technologies.

• Strong programming skills with hands-on coding expertise.

• A specialist programmer in Go, Python, C++ or equivalent.

• Exposure to job/workflow execution systems like temporal, Apache Airflow, Flyte, Kubeflow or similar.

• Proven software and solutions development background and proven ability demonstrate complex new technologies.

• Strong problem solving and debugging skills.

• Strong programming background that incorporates methodologies like data structures, design patterns, OOP, and test driven development.

• Well versed in agile methodology.

• Comfortable with a customer focused and high paced environment that includes dealing with ambiguity and agility.

• Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects and coordinate effectively across organizational boundaries and geographies.

Ways to stand out from the crowd:

• Experience with autonomous vehicles software stack, relay and testing loops.

• Exposure to workflow/job execution systems like Temporal, Airflow, Flyte, Kubeflow or similar.

• Experience in working with complex software systems on Linux.

• Strong understanding of orchestration systems such as Kubernetes, slurm etc.

• Enthusiasm to collaborate and build supporting development infrastructure like CI/CD and DevOps.

• Distributed system, design skills and ETL mechanism in distributed system