System Engineer Datacenter GPU

  • Austin, TX
  • Posted 2 days ago | Updated moments ago

Overview

On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 12+ mo(s)

Skills

no skills

Job Details

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: System Engineer Datacenter GPU

Location(s): Austin, TX

Client is looking for a System Engineer Datacenter GPU to work in IPP (Infrastructure, Planning and Process) Sanity Engineering. IPP is a core software infrastructure organization within Client. This group works with various other groups within Client Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the productivity of thousands of Client software engineers worldwide.

The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both Client GPUs and Tegra Processors. Are you passionate about distributed infrastructure and looking for a sophisticated workspace and are ready to build the next generation of cloud services for chip bringups, design creative solutions, mine through data to uncover real problems and fix them? We are looking forward to onboard a fun-loving person like you.

What you'll be doing

  • Develop framework and scripts to automate workflows and deployments in the private cloud environment.
  • Have a thorough understanding of Client GPU hardware and driver stack, SBIOS, VBIOS and should be able to enhance automation for farm wide updates.
  • Solve complex problems involving multi site distributed infrastructure scaling, leading GPU product bringups (PCIe & Enterprise) in infrastructure, integrating GPU test suites to infrastructure harness etc.
  • Deploy and maintain a large farm of machines using world-class Configuration Management & Infrastructure Automation (IaC) tools like Chef, Ansible, Terraform
  • Develop extensive monitoring dashboards systems to have fast, reliable and real-time pulse of the various infrastructure subsystems using state of the art telemetry.
  • Will be leading a service charter completely, and will be essentially a responsible pilot in charge for the development, monitoring and automation of that infrastructure.
  • Automation and performance tuning of regression test frameworks, creation of self healing/automated recovery solutions for multi-geo regression farms.
  • Assist in roll-out and deployment of new development features aimed at supporting the latest Client hardware and technologies.

What we need to see

  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent demonstrable experience.
  • 10+ years of relevant experience .
  • Ability to analyze and debug source code to triage, root cause and resolve issues in the infrastructure. Collaborate with the development teams in improving the build and test infrastructure.
  • Familiar with maintenance and setup of Linux, Windows hosts and popular open source applications such as Nginx, Apache HTTP, Apache Tomcat and MySQL server.
  • Hands-on programming experience with any including but not limited to Python (preferred), JAVA etc.
  • Unix & TCL shell proficiency is expected.
  • Experience in MySQL/No-SQL(plus), should be able to write complex queries.
  • Experience with version control systems like Perforce, GIT.
  • Demonstrable experience working in large scale enterprise production systems. 5+ years of operational experience required.

Ways to stand out from the crowd

  • Background with automating bare metal and VM provisioning.
  • Prior knowledge of VM isolation for GPUs and Client Confidential Computing is a plus.
  • Experience with public clouds (AWS, Google Cloud Platform, Azure), VM and container virtualization technologies like VMware, KVM, Docker and Kubernetes Clusters.
  • Experience with debugging GPU performance issues, embedded device software development and automation, software driver development and CUDA/TensorRT applications.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

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