Staff Software Development Engineer: GPU, AI/ML Ops & Quality Engineering

Advanced Micro Devices, Inc.
Santa Clara, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Clean Code Principles Artificial Intelligence Computing Platforms Computer Vision JIRA Automation of Tests Unit Testing C++ (Programming Language) Profiling Nvidia CUDA Software Debugging FFmpeg
+18 more
Github Issue Tracking Systems Python (Programming Language) OpenCV Open Source Technology Tensorflow Software Engineering Test Execution Engine Strategies of Testing Video Codec Video Editing Gpu Programming Git Integration Tests Information Technology Machine Learning Operations Software Version Control Jenkins

Job description

ADVANCE YOUR CAREER. ADVANCE THE WORLD.

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

THE ROLE:

We are looking for a talented engineer to join our team: developing heterogeneous software for computer vision, image/video processing as part of the AMD Radeon Open Ecosystem (ROCm). The ideal candidate thrives in a fast-paced environment and brings strong communication, problem-solving, and prioritization skills to the table. We value individuals who are critical thinkers, detail oriented and passionate about building high-performance software. We need a candidate who has deep domain expertise in computer vision as well as strong in quality engineering and integration testing with fast paced ROCm releases.

THE PERSON:

You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. Most importantly, you are constantly thinking of ways to make world-class software with reliability and performance.

KEY RESPONSIBILITIES:

  • Design, develop, and optimize GPU/CPU software for computer vision, image and video processing workloads.
  • Validate new SW features before releasing them to customers.
  • Collaborate with cross-functional teams to deliver robust software extracting best performance from AMD hardware
  • Debug and resolve complex software issues across multiple layers of the stack.
  • Apply software engineering methodologies and AI tools to ensure robust, maintainable code
  • Develop technical relationships with peers and partners
  • Work very closely with dev teams and Project Managers to drive results
  • Strong experience with GoogleTest (gtest) for unit and integration testing in C++.
  • Hands-on experience with Jenkins or GitHub Actions for automating test execution and integrating tests into CI/CD pipelines.
  • In-depth knowledge of software testing methodologies, frameworks, and tools for automated testing.

PREFERRED EXPERIENCE:

  • Proficiency in C/C++ and Python.
  • Experience in video codecs, image processing and machine learning frameworks
  • Familiarity with computer vision libraries like OpenCV, FFMpeg, OpenVX etc.
  • Experience with GPU programming (e.g., HIP, CUDA).
  • Familiarity with ROCm or similar heterogeneous computing platforms.
  • Experience with open-source development and Git and feature tracking software (e.g., Jira)
  • In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
  • Quick in learning new tools and frameworks
  • Experience in CV domain Quality Engineering for testing and debugging end-to-end workflows

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.

Requirements

You are accustomed to working in a dynamic, geographically distributed agile team, where partnership and collaboration are paramount. You possess excellent written and verbal communication skills, strong attention to detail, and the ability to express your work in a clear, cohesive fashion. Most importantly, you are constantly thinking of ways to make world-class software with reliability and performance., * Proficiency in C/C++ and Python.

  • Experience in video codecs, image processing and machine learning frameworks
  • Familiarity with computer vision libraries like OpenCV, FFMpeg, OpenVX etc.
  • Experience with GPU programming (e.g., HIP, CUDA).
  • Familiarity with ROCm or similar heterogeneous computing platforms.
  • Experience with open-source development and Git and feature tracking software (e.g., Jira)
  • In-depth knowledge of best practices in software development, including testing, profiling, debugging, documentation, version control, issue tracking, and planning
  • Quick in learning new tools and frameworks
  • Experience in CV domain Quality Engineering for testing and debugging end-to-end workflows

ACADEMIC CREDENTIALS:

  • Bachelor’s or Master’s degree in Computer/Software Engineering, Computer Science, or related technical discipline

About the company

At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future.

Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger - technology that moves the world forward. Join us and, together, we’ll advance your career.

Apply for this position

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Apply on www.careerarc.com
Prepare application

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