Advanced Micro Devices, Inc

GPU Software Engineer - GPU Libraries

Advanced Micro Devices, Inc$145K — $175K *
Consumer Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in GPU software development or related field.
  • Strong proficiency in C++, with hands-on experience in CUDA, HIP, OpenMP, MPI, or OpenCL.
  • Familiarity with Python and AI/ML frameworks.
  • Experience in high-performance software systems and deployment management tools like Jenkins/Docker/Kubernetes.
  • Knowledge of open-source development practices and agile methodologies.
  • Advanced degree (M.Sc. or M.Eng.) is preferred.

Responsibilities

  • Collaborate with library teams to design, implement, and validate software library capabilities for GPU integration.
  • Contribute technical inputs to the software roadmap and assist with architecture and design efforts.
  • Work alongside senior engineers to tackle complex technical challenges and guide execution.
  • Identify and address project scope inconsistencies and collaborates on remediation plans.
  • Mentor junior engineers and advocate for best practices within agile development.

Benefits

  • Comprehensive health and wellness programs.
  • Flexible work arrangements including hybrid options.
  • Professional development and mentoring opportunities.
  • Active involvement in open-source projects.
  • Opportunities for career advancement and technical leadership.
Full Job Description
THE ROLE :

As Senior Member of Technical Staff in the GPU Libraries group, you will help advance the strategy and execution across libraries that are part of the AMD Radeon Open Ecosystem (ROCm) ecosystem. As part of the larger ROCm libraries teams, you will work cross-functionally with a team of talented computer scientists, software developers, and applied mathematicians working on GPU libraries for high performance computing and machine learning workloads.

THE PERSON :

You are a strong technical engineer who thrives in complex, evolving environments. You have hands-on experience enabling software on GPUs and are comfortable working across abstraction layers - from architecture concepts to implementation and debugging. You enjoy collaborating with hardware, firmware, and software teams, and you are effective at translating architectural ideas into practical software solutions. You seek clarity, learn quickly from early data, and contribute constructively when requirements are incomplete. You grow influence through technical execution, collaboration, and mentoring, and you are motivated to expand your architectural scope over time.

KEY RESPONSIBILITIES:
  • Work collaboratively across library teams to design, implement, validate, and deliver key software library capabilities, ensuring successful integration with GPU kernels into broader systems. Provides significant technical inputs to the software roadmap.
  • Provides input to architecture, design, and documentation efforts as they arise across teams. Works closely with senior engineering staff to guide technical execution within library teams on broad and complex technical challenges.
  • Collaborate with principal members of staff to develop the best technical designs and approaches that holistically consider constraints, performance, and roadmap commitments. Execute, and report progress against project plans and delivery commitments.
  • Proactively identifies gaps and inconsistencies at project scope and develops plans to remediate in collaboration with library owners and engineering principal colleagues.
  • Engages in mentorships with senior and principal staff and champion internal best-practices as part of the regular software development lifecycle in an agile environment.


PREFERRED EXPERIENCE:
  • Hands-on experience with C++, with relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL for accelerated computing on CPUs and GPUs. Familiarity with other programming languages like Python and AI/ML Frameworks.
  • Experience contributing to technical and high-performance software systems supported by continuous improvement, regression and performance management systems, and software deployment and orchestration management (Jenkins/Docker/Kubernetes/numerical methods and analysis).
  • Experience with open-source software development including collaboration with community maintainers and submitting contributions, and various lifecycle methodologies such as Agile, Scrum, Kanban.
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle including requirements elicitation and analysis, scoping/estimation, coding standards, code reviews, version control, build processes, testing, and continuous integration.


ACADEMIC CREDENTIALS:
  • Advanced degrees, such as M.Sc. or M.Eng. are preferred


LOCATION: San Jose, CA

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This role is not eligible for visa sponsorship.

Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ

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