CUDA Engineering Expert
micro1 is engaging CUDA Engineering Experts to contribute to a cutting-edge customer project focused on GPU kernel optimization in collaboration with a leading AI lab.
Hiring companyMicro1
About the role
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.
Responsibilities
- Analyze, profile, and optimize GPU kernels using CUDA and relevant profiling tools to maximize computational throughput on modern hardware.
- Collaborate with project stakeholders to assess and identify kernel bottlenecks, proposing targeted optimization strategies.
- Refactor C++ and CUDA codebases for improved maintainability, efficiency, and adaptability across diverse GPU architectures.
- Implement shader logic and graphics workflows using GLSL and WebGPU, ensuring seamless integration with existing pipelines.
- Document key findings, optimization steps, and performance improvements with clear, actionable reports and technical communication.
- Contribute expertise to design discussions, supporting the evaluation of new GPU-based approaches and performance metrics.
- Stay informed on advancements in GPU programming and share relevant insights to enhance project outcomes.
Preferred skills
- Demonstrated expertise in CUDA programming, with a strong track record of performance-tuning GPU kernels.
- Advanced C++ development skills, particularly in high-performance computing environments.
- Hands-on experience with GLSL and WebGPU for graphics and compute shader development.
- Proficiency using GPU profilers (such as Nsight, Visual Profiler, or similar tools) for guided optimization.
- Strong analytical abilities to evaluate and reason about kernel performance across hardware generations.
- Excellent written and verbal communication skills—clear documentation and technical reporting are essential.
- Experience collaborating in remote, cross-disciplinary project settings is a plus.
Eligibility
Work arrangement: Fully remote
Compensation details
$60–$100 per hour.
More about the hiring companyMicro1
Posting details
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