AI Device Lab Engineer

Qualcomm is a global technology leader specializing in wireless technologies, semiconductors, and AI innovation.
$115,600 - $173,400
Machine Learning
Mid-Level Software Engineer
In-Person
2+ years of experience
AI

Description For AI Device Lab Engineer

Qualcomm Technologies is seeking an AI Device Lab Engineer to join their innovative team in Austin. This role combines hands-on lab hardware management with software development expertise, focusing on scaling cutting-edge AI technologies. The position offers a unique opportunity to work with advanced ML hardware and develop automation infrastructure in a high-visibility environment.

The ideal candidate will bring strong technical expertise in Python programming, Linux system administration, and MLOps/DevOps practices. You'll be responsible for managing a sophisticated device farm, developing automation tools, and ensuring robust infrastructure for ML projects. The role requires both technical depth and strong collaborative skills to work effectively across teams and time zones.

Qualcomm offers a competitive compensation package, including a base salary range of $115,600 to $173,400, plus annual bonuses and RSU grants. The company provides comprehensive benefits including health coverage, 401k, and educational support. This is an excellent opportunity for someone passionate about AI infrastructure and looking to make an impact at a global technology leader.

The position offers significant growth potential within Qualcomm's innovative environment, where you'll work alongside leading engineering and technology experts. The company's commitment to continuous learning, mentorship, and professional development ensures opportunities to expand your expertise and advance your career. Join Qualcomm to be part of groundbreaking AI technology development while working with some of the industry's brightest minds.

Last updated a day ago

Responsibilities For AI Device Lab Engineer

  • Sysadmin of the device farm and x86 hosts in device lab setting
  • Develop Python automation tooling and infrastructure for ML projects
  • Support local ML teams by troubleshooting system issues
  • Coordinate with local IT team to ensure infrastructure redundancy and uptime
  • Plan and deliver server farm upgrades for new ML hardware cycles

Requirements For AI Device Lab Engineer

Python
Linux
  • Bachelor's degree in Science, Engineering, or related field and 2+ years of ASIC design experience, or Master's with 1+ year experience, or PhD
  • Proven experience as an MLOps/DevOps Engineer
  • Experience with CI/CD pipelines and automation tooling
  • Proficient in Python programming and automated testing
  • Advanced-level skills in Linux system administration
  • Experience with SQL and data visualization tools
  • Strong problem-solving skills
  • Excellent communication and collaboration skills

Benefits For AI Device Lab Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
Education Budget
  • Competitive annual discretionary bonus program
  • Annual RSU grants
  • Comprehensive health benefits
  • 401k program
  • Educational support

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