Senior Software Engineer - Compilers and Applied AI

Why consider this job opportunity

• Salary up to $356,500
• Opportunity for equity and a generous benefits package
• Work in a diverse and supportive environment that fosters innovation
• Engage in high‑impact AI challenges and cutting‑edge technology
• Collaborate with some of the best talents in the industry
• Chance to make a lasting impact on the world through technology

• Design and build high-performance optimization frameworks for the entire CUDA ecosystem
• Co‑design novel solutions with software, hardware, and algorithm teams
• Develop reproducible, high‑fidelity evaluation frameworks covering performance, quality, and developer productivity
• Collaborate across the AI stack, including compilers/tool chains, kernels/libraries, frameworks, and distributed training
• Push the latest developments into products by working closely with internal software and hardware teams

• Bachelor’s degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD preferred
• 6+ years of industry or academia experience in software engineering, compilers, and developer tools
• Strong knowledge of compilers, code generation, and GPU architecture
• Experience with GPU programming and performance optimization (CUDA or equivalent)
• Extensive Python programming skills, along with software engineering fundamentals

• Familiarity with genetic/evolutionary algorithms, predictive modeling, and complex systems
• Deep expertise in GPU performance optimizations, evidenced by benchmark wins or published results
• Hands‑on experience building compilers or compiler components using the LLVM framework
• Familiarity with NVIDIA and open source compilers like LLVM, MLIR, PTX, and OpenAI Triton
• Experience with Data Science projects, specifically with MLOps workflows and tools, like W&B, MLflow, etc.

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