DC-GPU Performance Modeling Engineer 

AMD
Hyderabad
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: ["GPU","C++","Python","Perl","Shell","Verilog","DLP"]

Senior pre-silicon performance attainment engineer driving end-to-end delivery of GPU performance solutions for AI/data center workloads. You’ll analyze and optimize performance across inference and training of ML models, coordinate across software and hardware teams, and push innovations to improve accuracy and efficiency of GPU workloads in datacenter environments.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
AMD
AMD
4 months ago

DC-GPU Performance Modeling Engineer 

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Senior pre-silicon performance attainment engineer driving end-to-end delivery of GPU performance solutions for AI/data center workloads. You’ll analyze and optimize performance across inference and training of ML models, coordinate across software and hardware teams, and push innovations to improve accuracy and efficiency of GPU workloads in datacenter environments.
Location: Hyderabad
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Debug performance issues and analyze data from the full-chip Emulation Platform, RTL Simulator, and Architecture and Roofline Models.
  • •Analyze model projection results and identify algorithm issues to improve projection accuracy across product generations.
  • •Get performance projections for kernels using an analytical model.
  • •Identify efficiency issues and collaborate with model owners to resolve performance projection shortcomings.
  • •Automate processes related to performance infrastructure and data collection tasks to improve productivity.

Key Requirements

  • •Several years of experience in GPU pre-silicon performance analysis and debug.
  • •Proficiency with performance modeling and simulation tools.
  • •Strong understanding of GPGPU programming APIs and Machine Learning workloads.
  • •Expertise in C/C++ and scripting (Python, Perl, Shell).
  • •Experience with Verilog is a plus
Experience:GPUMachine learningData center
Education:Bachelor's in Computer Science
Skills:GPUC++PythonPerlShellVerilogDLP
Languages:English
Tech Stack:CC++PythonPerlShellVerilogGPU

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn