Senior Systems Software Engineer

3 weeks ago

Santa Clara, California, United States NVIDIA Full time

NVIDIA is seeking a senior engineer to design and build a factory automation pipeline for NVIDIA Inference Microservices (NIMs). The right person for this role brings technical drive and creativity to change the way NVIDIA optimizes and serves performant inferencing for every AI model.

The NIM offerings are easy to use, highly performant, and tested in all deployment scenarios, in the cloud, on customer's self-hosted infrastructure, and locally on all NVIDIA GPUs.

You will apply your deep technical expertise to design an efficient, scalable, and reliable automation factory pipeline that will take AI models to become NIMs that are validated for best-in-class performance and accuracy.

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 NVIDIA's 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.

Key Responsibilities:

  • Develop, analyze, and optimize factory infrastructure 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.
  • Develop harness, automate hardware acceptance, analyze benchmarks, data gathering, and statistical analysis of systems health and performance analysis of NIMs.
  • Work with technical leaders designing and developing scalable and reliable factory acceptance and performance tuning of hardware platforms.
  • Collaborate with multiple AI model teams to understand their requirements to build an efficient infrastructure that improves every team's productivity.

Requirements:

  • A history of using advanced programming skills to build tooling and automation for hardware system characterization and benchmarking.
  • Proven experience debugging and analyzing performance of compute applications and systems.
  • Deep technical expertise working with system software and platform layers, including Kernel, device driver, memory, storage, networking, and PCIe devices.
  • Passion for building platform engineering components and automation of system benchmarking and characterization.
  • Excellent interpersonal skills and the ability to lead multi-functional efforts.
  • Experience working with hardware clusters, distributed systems, networking, GPU interconnects (PCIe, NVlink), node, and cluster interconnect (Infiniband).
  • BS or MS in Computer Science, Computer Engineering, or related field (or equivalent experience).
  • 6+ years of shown experience developing performant microservices, cloud software, and/or tooling roles.

Preferred Qualifications:

  • Experience delivering optimized system engineering environment for inference applications in data center and consumer-grade hardware platforms.
  • A history of building and deploying automated benchmarking solutions in Cloud and On-prem environments, and their associated CI/CD pipelines.
  • Prior experience in working with large-scale compute infrastructure solutions.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate 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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