High-Performance AI Researcher
1 week ago
At AryaXAI, we are at the forefront of AI innovation, pushing the boundaries of high-performance AI computation. Our mission is to create AI tools that empower researchers, engineers, and organizations to unlock AI's full potential while maintaining transparency and safety.
We thrive on a shared passion for cutting-edge innovation, collaboration, and a relentless drive for excellence. Our flat organizational structure values curiosity, initiative, and exceptional performance, allowing everyone to contribute hands-on to our mission.
The Role Overview:
We are seeking a highly skilled High-Performance AI Researcher - GPU Kernel Developer to join our team and make a significant impact in the field of AI optimization. In this role, you will design, develop, and optimize GPU kernels that power state-of-the-art AI models, directly influencing the performance and scalability of our AI systems.
Key Responsibilities:
- Develop and refine low-level CUDA kernel optimizations for deep learning inference and training, leveraging expert knowledge of GPU architecture and memory hierarchies.
- Profile, debug, and optimize single and multi-GPU operations using advanced tools like Nsight, ensuring peak performance and efficiency.
- Collaborate with our team to design innovative solutions to achieve peak GPU performance, staying up-to-date with the latest advancements in GPU optimization techniques for AI workloads.
Ideal Candidate Profile:
We are looking for candidates with a proven track record of excellence in GPU programming and AI system optimization. The ideal candidate should bring:
- Expertise in designing high-performance GeMM CUDA kernels using Tensor cores or CUDA cores, leveraging tools like CuTe or CUTLASS.
- Proficiency in extending or writing custom attention and deep learning kernels from scratch, managing floating-point precision errors with confidence.
- Strong optimization skills for both memory-bound and compute-bound operations, with advanced knowledge of GPU architecture and utilization.
Preferred Skills:
- Familiarity with profiling tools (e.g., Nsight) to identify bottlenecks and improve performance, ensuring seamless integration with frameworks like JAX/XLA through tools like pybind11.
- Awareness of the latest advancements in GPU optimization techniques for AI workloads, staying ahead of the curve in this rapidly evolving field.
Benefits and Opportunities:
- Competitive Salary: $180,000 per annum, reflecting the expertise and dedication required for this role.
- Mission-Driven Impact: Work on challenges that shape the future of responsible AI, contributing to the development of explainable, safe, and aligned AI systems.
- Technical Excellence: Collaborate with a team of passionate and experienced professionals, driving innovation and excellence in AI research and development.
- Growth Opportunities: Contribute across domains and expand your expertise in GPU kernel development and AI research, with flexible work environments and relocation support available.
Interview Process:
Our interview process is designed to evaluate your technical skills, fit for the role, and ability to contribute to our mission-driven team. We use a combination of coding assessments, systems problem-solving exercises, and project deep-dives to ensure you have the necessary expertise and passion for this role.
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