Toptal: GPU Strategy Advisor
Headquarters: Remote URL: https://www.toptal.com/
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