Advanced Micro Devices, Inc

GPU Performance Architect

Advanced Micro Devices, Inc • $130K — $180K *
Folsom, CA 95630In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of relevant experience in GPU architecture or performance modeling
  • Strong knowledge of machine learning frameworks such as TensorFlow and PyTorch
  • Proficiency in programming languages, including C, C++, and Python
  • Experience in performance simulation and analysis for complex systems
  • Familiarity with Compute APIs like CUDA and OpenCL

Responsibilities

  • Develop performance models for GPU subsystems and multi-GPU systems
  • Build simulation-driven models to assess application performance
  • Generate performance projections for future products
  • Define performance KPIs for new product definitions
  • Prototype across software and hardware stacks to validate concepts
  • Collect and summarize simulation results for team analysis
  • Collaborate with architects to propose innovative hardware and software solutions
  • Write high-performance GPU kernels and microbenchmarks for validation

Benefits

  • Comprehensive health and wellness programs
  • Generous paid time off and holidays
  • Retirement plans with company match
  • Professional development opportunities
  • Optional hybrid work arrangements
Full Job Description
THE ROLE:

RTG (Radeon Technologies Group) Architecture team is passionate about developing next-generation GPU solutions. As GPU Performance Architect, you will collaborate with a strong architecture, software, and design teams on developing next generation products for data centers and super-computers. You will engage in performance modeling, analysis of ML/HPC workloads, architecture exploration and kernel prototyping. Through your prototyping, experiments and analysis, you will provide valuable insight into new and emerging hardware and software technologies and MI line of products.

THE PERSON:

You have excellent analytical and problem-solving skills, along with attention to detail.

KEY RESPONSIBILITIES:
  • Develop high-level and detailed performance models for GPU subsystems, SoCs, and multi-GPU systems.
  • Build analytical, simulation-based, and workload-driven models to predict application performance.
  • Generate performance projections for future architectures and product configurations.
  • Establish performance, latency, throughput, and efficiency KPIs early in product definition.
  • Prototype ideas across the stack from software, and firmware to architectural models to evaluate and validate ideas.
  • Collect/summarize data and simulation results for consumption by architects and design teams
  • Work with architects to propose innovative solutions that can be implemented in next generation HW and SW.
  • Write and optimize GPU kernels at different levels of abstractions (assembly, Hip, Triton, .. etc).
  • Write microbenchmarks that can be used for competitive analysis and performance verification.


PREFERRED EXPERIENCE:
  • Knowledge in GPU architectures, basic knowledge of CPU architecture
  • Experience in developing high level and cycle accurate performance simulators
  • Experience in machine learning (ML) networks and frameworks including TensorFlow and PyTorch
  • Experience in building libraries for key ML operators (e.g., GEMMs, Attention, Collectives).
  • Understanding of Compute API's such as CUDA, and OpenCL
  • Background in Network-on-Chip (NoC) design and interconnect systems
  • Strong programming foundation in C, C++, and scripting languages (Python, etc.)
  • Experience in the compiler stack (graph compilers, MLIR, LLVM, .. etc) is a plus
  • Experience in hardware modeling and design using RTL or System C is a plus


ACADEMIC CREDENTIALS:
  • Undergrad degree required. Bachelor of Science, Masters, or PhD degree with emphasis in Electrical Engineering, Computer architecture, or Computer Science with relevant experience preferred


ACADEMIC CREDENTIALS:
  • Bachelors or Masters degree in computer engineering/Electrical Engineering


ALTERNATE LOCATIONS:
  • Santa Clara, California


This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

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Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

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

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