GPU Strategy Advisor
Role Overview
The GPU Strategy Advisor will conduct thorough technical assessments of integer-based algorithms to determine the viability of GPU acceleration. This senior-level role requires deep expertise in GPU architectures and performance analysis, impacting the strategic direction of GPU investments and optimizations for computational workloads. The advisor will guide technical teams in implementing effective GPU porting strategies.
Perks & Benefits
This position offers 100% remote work with no location restrictions, providing flexibility in work hours. The role allows for significant impact on advanced technology projects, fostering a culture of innovation and collaboration. The company emphasizes career growth and a supportive environment for technical expertise development.
Full Job Description
Headquarters: Remote URL: https://www.toptal.com/
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
To apply: https://weworkremotely.com/remote-jobs/toptal-gpu-strategy-advisor
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