Develop new ML/DL compiler abstractions, build runtimes, and ML/DL-compiler driven system solutions to accelerate large language models and other ML workloads
Design and implement Pythonic language interface for tile-aware GPU programming
Optimize compiler pipelines for efficient execution
Integrate compilers with AI/ML frameworks
Develop performance-critical primitives for tensor operations and memory operations
Collaborate with hardware teams to co-design compiler optimizations for emerging GPU architectures, including Tensor Core utilization and distributed execution
Build close technical relationships with internal NVIDIA software and hardware teams to push developments to NVIDIA products
Requirements
Bachelor's degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); MS or PhD are preferred
6+ years (academic/ industry) experience with ML/DL systems development preferable for compilers
Strong Python and C/C++ programming skills
Expert experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, Triton, etc.)
Strong sense of ownership, fast learner, passion for quality and user experience
Proficiency in Python and C++ for DSL development and low-level compiler internals
Experience with compiler frameworks (Triton, LLVM, MLIR, TVM) and IR design for GPUs
Deep understanding of GPU architectures (CUDA cores, Tensor Cores, memory hierarchies) and tile-based execution models
Strong experience machine learning systems research and productionization
Open source project ownership or contributions
Benefits
Highly competitive salaries
Comprehensive benefits package
Eligible for equity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonC++ML systems developmentDL systems developmentcompiler frameworksIR designGPU architecturestile-based execution modelsdeep learning frameworksperformance optimization
Soft skills
strong sense of ownershipfast learnerpassion for qualityuser experience focus
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Electrical EngineeringMaster's degreePhD