Nvidia is hiring a
Principal Distributed Systems Engineer, AI Infrastructure
We are now looking for a Principal Distributed Systems Engineer.
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 one of the most exciting problems of our time: autonomous vehicles! Then we will apply it to other AI applications such as robotics, virtual reality, healthcare, genomics, data science, and more.
What you'll be doing:
Architect and build scalable and distributed services that will help power the AI infrastructure for deep learning platforms.
Design and build infrastructure and microservices that help index, mine, transform, and compose PB sized deep learning datasets.
Design the next generation of dataset management services for real and synthetic / simulated datasets.
Enable smart data selection - one of the key ingredients for successful machine learning!
Be a technical leader on various projects across the platform, and be a hands-on major contributor of the entire platform's architecture.
Collaborate with multiple AI product teams to understand their data and compute requirements (cars, healthcare, etc.) and build support infrastructure that improve productivity.
Collaborate with AI applied researchers and leaders to build future-proof infrastructure.
What we need to see:
Masters or equivalent experience in Computer Architecture, Computer Science, Electrical Engineering or related field with 14+ years of Work or Research Experience in distributed systems development and design.
Strong programming background that incorporates methodologies like data structures, design patterns, OOP, and test driven development.
Solid technical foundation and a deep understanding of cloud technologies, distributed compute systems, and distributed systems and microservices architecture.
Advanced programming skills to build distributed storage and compute systems, backend services, microservices, and web technologies.
Strong programming skills with hands-on coding expertise.
A specialist programmer in Go and C/C++.
Ability to craft technical design requirements and architecture in an agile environment to deliver production grade at scale systems.
A track record of successful technical leadership and large-scale architecture that impacted critical projects.
Switch effectively between long-term strategic management and near-term tactical management.
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:
Advanced programming expertise in Scala.
Experience with Kubernetes and Docker.
Enthusiasm to collaborate and build supporting development infrastructure like CI/CD and DevOps.
A go getter attitude to dive deeper and understand technical requirements.
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 base salary range is $268,000 - $414,000. 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.
Please mention that you found the job on ARVR OK. Thanks.