NVIDIA

Senior Distributed Systems Engineer, AI Infrastructure

NVIDIA

June 10, 2021


We are now looking for a Senior Distributed Systems Engineer. NVIDIA is hiring senior distributed systems for solution engineering to work on our AI infrastructure and deep learning platform team. Our team is building a software 2.0 developer platform for autonomous vehicles with a focus on debugging solutions. Together, we will help advance NVIDIA's capacity to build and deploy leading solutions for a broad range of AI based applications such as autonomous driving, robotics, healthcare, virtual reality, graphics engines and visual computing.
What you will be doing:

  • Design and build sophisticated scalable distributed systems, compute and data pipelines, and web applications that help index, mine, transform, analyze, develop, and debug deep learning datasets and applications.

  • Architect and craft solutions for the next generation of software 2.0 development and debugging platform using real and synthetic / simulated datasets for autonomous driving.

  • Enable deep insights and end-to-end traceability into autonomous vehicle development, triage, debug, and performance metrics.

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

  • Spend a majority of the time hands-on writing code and peer reviewing high performance, high quality, and well tested and well architected code.

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

  • Regularly engage with customers directly to provide technical support and productize AI and DRIVE platforms. Document requirements, designs, and solutions, organize training sessions, demonstrate new technologies, and drive adoption across teams working on autonomous driving.

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

What we need to see:

  • Masters in Computer Architecture, Computer Science, Electrical Engineering or equivalent experience.

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

  • Proven experience deploying, upgrading, migrating, and driving user adoption of sophisticated enterprise scale systems.

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

  • Strong problem solving and debugging skills.

  • You possess advanced programming skills to build debug distributed storage and compute systems, backend services, microservices, and web technologies.

  • A specialist programmer in Go, Scala, Angular, React, C/C++, or equivalent.

  • 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.

  • 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 standout from the crowd:

  • Experience with full stack web based visualization technologies to help provide data insights.

  • Background with Python SDKs, Python packaging, cross language bindings (C++/Python) and/or the Bazel build system.

  • Experience with autonomous vehicles' domain, standards, and processes.

  • Exposure to working with complex software systems on Linux.

  • Experience with structured data such as Avro, Parquet, Protobuf, Thrift, and concepts like schema evolution.

  • A go getter attitude to dive deeper and understand technical requirements.

  • Strong understanding of Docker and orchestration systems such as Kubernetes.

With highly competitive salaries and a comprehensive benefits package, Nvidia is widely considered to be one of the technology industry's most desirable employers. We have some of the most brilliant and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: 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.
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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