Performance Infrastructure Engineer- Data Center GPU

Advanced Micro Devices, Inc.
Santa Clara, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 192K

Job location

Santa Clara, United States of America

Tech stack

Artificial Intelligence
Automation of Tests
Bash
Profiling
Code Review
Computer Engineering
Continuous Integration
Data Centers
Software Debugging
Github
Python
Linux System Administration
Machine Learning
Network Protocols
Ansible
Toolchain
Scripting (Bash/Python/Go/Ruby)
Information Technology
Docker
Jenkins

Job description

You will be part of a small, but dedicated team driving discrete GPU products' performance attainment solutions across hardware, software and the platform. We are seeking a highly skilled engineer to join our Infrastructure team, focused on building scalable solutions for workload automation and performance analysis supporting advanced machine learning workloads., * Technical team lead for a team of 5-6 engineers

  • Assess and understand the current automation and performance analysis infrastructure, identifying strengths, gaps, and opportunities for improvement.
  • Collaborate with internal teams to gather technical requirements and understand evolving needs.
  • Develop a forward looking plan that balances reusing existing systems with building new infrastructure where appropriate.
  • Design, develop, and maintain automation and performance analysis tooling using Python, Bash, Make, and related technologies.
  • Build and enhance workflow automation solutions using internally developed tools to orchestrate ML workloads.
  • Develop new techniques and tooling to optimize ML workload execution, profiling, and analysis at scale., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.

Requirements

You have strong backgrounds in Python development, Linux system administration, and build toolchain expertise.

You have experience building or using internal workflow orchestration platforms to manage and execute distributed or multi-system compute workloads

You have familiarity with server hardware, networking protocols, and mixed hardware/software environments

You can adapt quickly to new tools and technologies and apply them effectively.

You can manage multiple tasks, priorities, and release cycles in parallel., * Strong development experience in Python and/or Bash (or equivalent scripting languages).

  • Experience with Github, Jenkins, or similar CI/CD and code review systems.

  • Linux system administration experience preferred.

  • Experience developing automated test infrastructure and orchestrating multisystem workflows is preferred. Ansible experience is a bonus.

  • Strong analytical, problem solving, and debugging skills

  • Excellent communication skills; must be a critical thinker and self-starter.

  • Ability to quickly learn and apply new tools, technologies, and frameworks.

  • Networking experience preferred, including common protocols and basic debugging.

  • Experience with Docker/containers and/or virtualization technologies preferred

  • Motivating leader with good interpersonal skills, * * Bachelor's degree in a Computer Engineering/Computer Science field with 9+ years of hands-on experience, or a Master's degree with 7+ years of relevant experience.

Benefits & conditions

$192,000.00/Yr.-$288,000.00/Yr.

About the company

At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

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