Senior System Software Engineer, Infrastructure - Autonomous Vehicles

US, CA, Remote

NVIDIA

NVIDIA erfindet den Grafikprozessor und fördert Fortschritte in den Bereichen KI, HPC, Gaming, kreatives Design, autonome Fahrzeuge und Robotik.

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We are looking for senior distributed systems engineers at NVIDIA. Your role will involve developing services, tools, and infrastructure. This is to support the creation of a scalable job execution framework for behavioral tests and validating the Autonomous Vehicle software stack.

Our team is embedded into the AV Infrastructure and deep learning platform teams building a cloud platform. Together, with Autonomous Vehicles teams, we help advance NVIDIA's capacity to deploy solutions for one of the most exciting problems of our time: autonomous vehicles!

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
     

With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. Our company has very hardworking and dedicated employees. Our engineering teams are rapidly developing in brand-new areas like Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a real passion for distributed systems and autonomous driving, we want to hear from you.

The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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Category: Engineering Jobs

Tags: Agile Airflow Architecture Autonomous Driving CI/CD Computer Science Data pipelines Deep Learning DevOps Distributed Systems Engineering ETL Kubeflow Kubernetes Linux Mathematics Microservices OOP Pipelines Python Testing

Perks/benefits: Career development Competitive pay Equity / stock options

Regions: Remote/Anywhere North America
Country: United States

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