×
All jobs All Other Remote GPU Strategy Advisor

GPU Strategy Advisor

Posted 1 day ago

Toptal is an exclusive network of the top software developers, designers, marketing experts, management consultants, product managers, and project managers in the world. Top companies hire Toptal talent for their most important projects.

Apply now

Description

About the Company

A global leader in electronic design automation software, this organization empowers innovators in the microchip and semiconductor industries to push the boundaries of technology. With cutting-edge solutions that enable optimal circuit design and semiconductor development, the company serves as a trusted partner to organizations driving the future of electronics and computational hardware.

About the role

We are seeking a GPU Architecture and Performance Expert to assess and advise on GPU porting strategy for our product, specifically evaluating whether GPU acceleration can deliver material performance improvements for our integer-based algorithms.

 

  • Location: Global
  • Type: 10h/week Contract
  • Duration: 3+ months
  • Authorization: Applicants must be authorized to work in their country of residence without employer sponsorship

 

Responsibilities

  • Conduct comprehensive technical assessment of the product's native algorithms to determine viability and efficiency gains from GPU acceleration

  • Analyze integer-based computational workloads and specialized solvers to evaluate whether GPU architectures can provide meaningful performance improvements

  • Provide strategic recommendations on GPU investment decisions, including cost-benefit analysis and expected acceleration potential for specific algorithm types

  • Deliver data-driven insights on which computations are strong candidates for GPU porting versus those that should remain CPU-optimized

  • Guide technical teams on implementation strategies if GPU acceleration proves viable, including architecture selection and optimization approaches

Requirements

  • Deep expertise in GPU architectures (CUDA, OpenCL, or similar) with proven experience evaluating workload suitability for GPU acceleration
  • Strong understanding of the performance characteristics of integer-based algorithms on GPU versus CPU architectures
  • Demonstrated experience analyzing and optimizing computational workloads for heterogeneous computing environments
  • Proficiency in performance profiling, benchmarking, and cost-benefit analysis for hardware acceleration decisions
  • Solid foundation in parallel computing principles and understanding of when GPU acceleration provides material benefits
  • Experience with semiconductor EDA or Electronic Design Automation
  • 15+ years of professional experience

Benefits

 100% remote and there are no location restrictions and time zone overlaps

Apply Now

Let's start your dream job

Apply now

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Remote All Other Remote Jobs

Just set your preferences and Job Copilot will do the rest-finding, filtering, and applying while you focus on what matters.

Activate JobCopilot

Toptal Star Icon

View company

Jobs posted: 107

About the job

Apply now

Tired of Applying to Jobs Manually?

Let JobCopilot do it for you.

No more spreadsheets. No more copy-pasting. Just set your preferences and let your Al copilot search, match, and apply to jobs while you sleep.

  • Applies for jobs that actually match your skills

  • Tailors your resume and cover letter automatically

  • Works 24/7-so you don't have to

Activate JobCopilot