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GPU Systems Design Engineer

3 months ago

Canada, CA AdvantEdge Full time

Job Title: GPU Systems Design Engineer

Work Location: Markham, ON

Duration: 12 Months

Work Type: Contract

Job Type: Hybrid

Pay Rate: $70-$70/hr on T4

JOB DUTIES:


THE ROLE:

  • We are looking for a dynamic, energetic Client/dGPU Systems Design Engineer to join our growing team. As a key contributor to the success of the client’s product, you will be part of a leading team to drive and improve the abilities to deliver the highest quality, industry-leading technologies to market.
  • The Systems Design Engineering team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development.

THE PERSON:

  • As a Systems Design Engineer, you will drive balanced, scalable, and automated solutions.
  • In this high visibility position, your software systems engineering expertise will be necessary towards Product development, definition, and root cause resolution.

Key RESPONSIBILITIES:

  • Driving technical innovation to improve the capabilities across validation, including tool and script development, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives
  • Debugging issues found during the process, bring-up, validation, and production phases of SOC programs
  • Working with multiple teams, and tracking test execution to make sure all features are validated and optimized on time
  • Working closely with supporting technical teams
  • Engaging in other software/hardware modeling frameworks
  • Work with the internal AI/ML team to enhance test coverage and improve on the competitiveness of the ROCm software stack to the latest AI/ML models

PREFERRED EXPERIENCE:

  • Programming/scripting skills (e.g. C/C++, Perl, Ruby, Python)
  • Debug techniques and methodologies
  • Experience with common lab equipment, including protocol/logic analyzers, oscilloscopes, etc.
  • Experience with board/platform-level debug, including delivery, sequencing, analysis, and optimization
  • Knowledge of system architecture, technical debug, and validation strategy
  • Experience with industry standard benchmarks, AI/ML/HPC applications

ACADEMIC CREDENTIALS

  • Bachelors or Masters degree in electrical or computer engineering