We Work Remotely seeks a GPU Strategy Advisor to provide expert guidance on accelerating integer-based algorithms through GPU porting. This role involves a deep technical assessment to evaluate the strategic viability and performance gains of moving specialized computational workloads to GPU architectures.
What You'll Do
- Conduct a comprehensive technical assessment of native algorithms to determine viability and efficiency gains from GPU acceleration
- Analyze integer-based computational workloads and specialized solvers to evaluate GPU performance improvement potential
- Provide strategic recommendations on GPU investment decisions, including cost-benefit analysis and expected acceleration potential
- Deliver data-driven insights on which computations are strong candidates for GPU porting versus CPU-optimized
- Guide technical teams on implementation strategies if GPU acceleration proves viable, including architecture selection and optimization approaches
What We're Looking For
- Deep expertise in GPU architectures (CUDA, OpenCL, or similar) with proven experience evaluating workload suitability for GPU acceleration
- Strong understanding of 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
Technical Stack
- CUDA
- OpenCL
Benefits & Compensation
- 100% remote with no location restrictions and no time zone overlap requirements
Work Mode
This is a global, fully remote position, open to candidates worldwide with no geographical or time zone constraints.
We Work Remotely is an equal opportunity employer.
