PMTS Software Development Engineer

AMD
Bellevue
Workplace: OnsiteFull timeUSD 210,000 - 360,000 annuallyFunction: Product ManagementExperience: 5+ yearsEducation: mastersSkills: []

Develop and optimize low-level GPU kernels to accelerate inference and training of large machine learning models. Improve computational efficiency and execution time while maintaining model accuracy, including strategies for distributed training and inference across multiple GPUs and nodes. Profile system and application performance to remove bottlenecks, apply parallel computing, multi-threading, GPU synchronization, and model quantization, and build benchmarks and testing procedures. Collaborate with ML, software, and infrastructure teams and document optimizations for production deployment.

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FursaFursa
AMD
AMD
3 days ago

PMTS Software Development Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Develop and optimize low-level GPU kernels to accelerate inference and training of large machine learning models. Improve computational efficiency and execution time while maintaining model accuracy, including strategies for distributed training and inference across multiple GPUs and nodes. Profile system and application performance to remove bottlenecks, apply parallel computing, multi-threading, GPU synchronization, and model quantization, and build benchmarks and testing procedures. Collaborate with ML, software, and infrastructure teams and document optimizations for production deployment.
Location: Bellevue
Workplace: Onsite
Employment Type: Full time
Job Function: Product Management
Seniority: Mid level

Key Responsibilities

  • •Develop and optimize low-level GPU kernels to accelerate inference and training for large machine learning models.
  • •Maximize computational efficiency and reduce execution time while ensuring model accuracy.
  • •Design and implement distributed model training and inference strategies across multiple GPUs and nodes, addressing data and model parallelism challenges.
  • •Profile and analyze system and application performance to identify bottlenecks and improve hardware resource utilization using profiling tools and parallel computing techniques.
  • •Create and validate benchmarks and testing procedures to assess performance and stability, collaborate with teams to integrate into production, and document optimizations and best practices.

Pay and Benefits

Salary: USD 210,000 - 360,000 annually

Key Requirements

  • •Master’s degree or foreign equivalent in Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field.
  • •Five (5) years of experience in the job offered or closely related engineering role (or alternate combination: Bachelor’s plus seven (7) years progressive post-baccalaureate experience).
  • •Designing, implementing, and testing computer hardware.
  • •Design and specification work with architecture and software teams for microarchitecture design, including power design concepts (multiple power domain, power gating, data retention).
  • •Scripting and hardware development skills including Verilog RTL coding, UVM testbench, VLSI design, and FPGA (plus Perl, Python, and TCL/TK).
Experience:5+ years
Education:Master's
Tech Stack:GPUGPU kernelsDistributed model trainingDistributed model inferenceMulti-threadingGPU synchronizationModel quantizationProfiling toolsParallel computingBenchmarksVerilogRTL codingUVMUVM testbenchVLSI designFPGAPerlPythonTCL/TKMicroarchitecture

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
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