NVIDIA | Hiring | Principal Systems Engineer, AI Infrastructure – Autonomous Vehicles | Santa Clara, CA | BigDataKB.com | 5 Oct 2022

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Job Location: Santa Clara, CA

We are now looking for a Principal Distributed Systems Engineer to build the data processing, serving, and management platform to accelerate AI system development. Nvidia is hiring principal distributed systems engineers and architects to develop and scale its AI and deep learning platforms. Together, we will build the software 2.0 cloud platform for autonomous vehicles, robotics, virtual reality, health care, genomics, data science and more. If you are looking to solve one of today’s most complex engineering challenges, see the results in self-driving cars, and make a positive impact in the world, come and join us.
What you’ll be doing:
  • Use the latest cloud technologies to design, implement, and test scalable distributed data services and applications in the cloud.
  • Build and support a petabyte-scale data platform and provide powerful foundations for our tools and services. Ensure scalable and reliable data ingestion and management; development of fast, robust, and spike-resistant data serving, and data processing tools for the entire company.
  • Power the next generation AI data infrastructure to develop AI systems.
  • Partner with AI developers and leaders to build future-proof infrastructure.
  • Own projects from start to finish, plan the team’s product roadmap, and be responsible for major technical decisions. Actively participate in team’s planning, code reviews and design discussions.
  • Lead multiple work streams of engineers to ship products end-to-end.
  • Coordinate projects across multiple teams. Work together with partner teams to achieve cross-departmental goals and satisfy broad requirements.
  • Champion engineering excellence by continuously improving our development processes.
  • Conduct technical interviews with company standards and help in recruiting activities. Effectively mentor and onboard junior engineers.
What we need to see:
  • You have a Masters in Computer Science, Electrical Engineering or related field (or equivalent experience)
  • 12+ years of work or research experience in distributed systems and big data tools (such as Kafka, Hive, Flink, Spark, and Presto)
  • Experience building scalable infrastructure on the cloud with Golang, Python or Java (or similar).
  • Experience working with relational and NoSQL databases.
  • Solid technical foundation and a deep understanding of cloud technologies, distributed storage and compute systems, and data pipelines.
  • Ability to craft technical design requirements and architecture in an agile environment to deliver production grade systems at scale.
  • Attention to detail and a passion for truth.
  • A track record of efficiently solving complex problems.
  • Highly motivated with strong interpersonal skills, ability to work successfully with multi-functional teams, principals and architects and coordinate effectively across organizational boundaries and geographies.
Ways to stand out from the crowd:
  • Advanced programming expertise in Scala or C++.
  • Experience with Kubernetes, Docker, Envoy, or Istio.
  • Enthusiasm to collaborate and build supporting development infrastructure like CI/CD and DevOps.
  • Proficiency in writing SQL queries for analytic purposes.
  • Relevant publications.
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 talented 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 and autonomous computer scientist with a real passion for distributed systems and parallel computing, we want to hear from you.
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 talented 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 and autonomous computer scientist with a real passion for distributed systems and parallel computing, we want to hear from you.

The Colorado Equal Pay for Equal Work Act requires that NVIDIA provide the compensation range and benefits offered for this position if performed in Colorado. The base salary range for this position in Colorado is $230,400.00 – 316,800.00 USD.

NVIDIA also offers a comprehensive benefits package. We provide health care coverage, dental and vision, 401(K), including company matching and after tax contributions, Employee Stock Purchase Program (ESPP), Employee Assistance Program (EAP), company paid holidays, paid sick leave, vacation leave, professional time off, life and disability protection. Employees in eligible sales and positions may also be eligible for commission.
Base pay is based on market location and may vary based on factors including experience, skills, education, and other job-related reasons.

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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