Senior Software Engineer, Distributed Systems...

NVIDIA is building a new category of products, by intersecting our prowess in deep learning and computing, with industry-leading technologies. You will harness groundbreaking technologies, and build a highly efficient factory to power how NVIDIA builds and validates NIMs for inferencing all the way through deployment in heterogeneous hardware and software environments. You will influence and drive technical advances in NVIDIAs workflows and build the infrastructure that strives to accelerate the delivery of every AI model on NVIDIA’s GPUs anywhere. We are looking for technical talent to design and build our factory capabilities, including the underlying infrastructure, pipelines, backends, Docker build, test harness, metrics, performance engineering, log ingestion, and more.

What you’ll be doing:

• Develop a factory pipeline that will take an AI model in and produce a deployable service that is validated across Cloud, On-prem and Kubernetes environments. With the team, define and deliver rapid iterations on the group’s technical strategies and roadmaps to deliver and improve the NIM factory. You will be designing interfaces, data modeling and schema design, and expanding observability over the factory pipeline and its compute infrastructure.

• Work with technical leaders designing and developing scalable and reliable factory components. You will collaborate with multiple AI model teams to understand their requirements to build an efficient infrastructure that improves every teams’ productivity.

• Define metrics and drive improvements based on user feedback. You will mentor and collaborate throughout the team and with other teams to grow your colleagues and yourself. You will have a history of learning and growing your skills and those around you.

• A history of using your advanced programming skills to build distributed and compute systems, backend services, microservices and cloud technologies.

• Effective experience working with multi-functional teams, principals and architects, across organizational boundaries.

• Mentorship, growing teams and team members, and the flexibility to ability to adjust your direction and expectations given the needs of our customers.

• Deep technical expertise in distributed containerize applications using technologies such as Docker, K8s, Cloud Endpoints, Helm, and Prometheus.

• Passion for building rich, microservice applications build and test automation pipeline.

• Excellent interpersonal skills and the ability to lead multi-functional efforts

• Proven experience debugging and analyzing the performance of distributed microservices or cloud systems.

• BS or MS in Computer Science, Computer Engineering or related field (or equivalent experience)

• 8+ years of shown experience developing performant microservice, cloud software and/or tooling roles

Ways to stand out from the crowd:

• Experience delivering event-driven applications using various services such as Temporal, Kafka, Redis or others and a demonstrable ability to discuss the pros and cons of these choices.

• A history of building and deploying containers for Microservices, Cloud and On-prem deployments, and their associated CI/CD pipelines

• Prior experience in working with large scale full stack development

We are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and creative people in the world working for us. If you’re creative and autonomous with a real passion for technology we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.