NVIDIA
Senior Software Engineer - Compilers and Applied AI
NVIDIA, Granite Heights, Wisconsin, United States
Senior Software Engineer — Compilers and Applied AI
Join NVIDIA as a Senior Software Engineer in the Compilers and Applied AI team. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years and is now expanding into AI, building systems that enable GPUs to act as the brains of computers, robots, and self-driving cars. As an NVIDIAian you’ll be immersed in a diverse, supportive environment and can make a lasting impact on the world. What You’ll Be Doing
Design and build high-performance optimization frameworks for the entire CUDA ecosystem. Co‑design novel solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available. Develop reproducible, high‑fidelity evaluation frameworks covering performance, quality and developer productivity. Collaborate across the AI stack — from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving. What We Need to See
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 with software engineering, compilers and developer tools; exposure to building comprehensive optimization frameworks and hands‑on experience with product environments. Strong knowledge of compilers, code generation, and GPU architecture. Experience with GPU programming and performance optimization (CUDA or equivalent). Extensive Python programming skills and software engineering fundamentals. Basic programming skills in other languages such as C/C++, Racket, and Rust. Strong mathematical and scientific foundation relevant to optimization heuristics/algorithms, ML, and data science. Track record developing and productizing software, optimization frameworks and/or developer tooling. Ways to Stand Out From the Crowd
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, including optimization passes and code generation. Familiarity with NVIDIA and open‑source compilers like LLVM, MLIR, PTX, and OpenAI Triton. Experience with Data Science projects, specifically MLOps workflows and tools such as W&B and MLflow. Benefits & Compensation
Competitive base salary (Level 4: $184,000 – $287,500; Level 5: $224,000 – $356,500). Eligible for equity, generous benefits package, and other perks. EEO Statement
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Applications accepted until December 13 2025.
#J-18808-Ljbffr
Join NVIDIA as a Senior Software Engineer in the Compilers and Applied AI team. NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years and is now expanding into AI, building systems that enable GPUs to act as the brains of computers, robots, and self-driving cars. As an NVIDIAian you’ll be immersed in a diverse, supportive environment and can make a lasting impact on the world. What You’ll Be Doing
Design and build high-performance optimization frameworks for the entire CUDA ecosystem. Co‑design novel solutions with software, hardware and algorithm teams; influence and adopt new capabilities as they become available. Develop reproducible, high‑fidelity evaluation frameworks covering performance, quality and developer productivity. Collaborate across the AI stack — from hardware through compilers/toolchains, kernels/libraries, frameworks, distributed training, and inference/serving. What We Need to See
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 with software engineering, compilers and developer tools; exposure to building comprehensive optimization frameworks and hands‑on experience with product environments. Strong knowledge of compilers, code generation, and GPU architecture. Experience with GPU programming and performance optimization (CUDA or equivalent). Extensive Python programming skills and software engineering fundamentals. Basic programming skills in other languages such as C/C++, Racket, and Rust. Strong mathematical and scientific foundation relevant to optimization heuristics/algorithms, ML, and data science. Track record developing and productizing software, optimization frameworks and/or developer tooling. Ways to Stand Out From the Crowd
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, including optimization passes and code generation. Familiarity with NVIDIA and open‑source compilers like LLVM, MLIR, PTX, and OpenAI Triton. Experience with Data Science projects, specifically MLOps workflows and tools such as W&B and MLflow. Benefits & Compensation
Competitive base salary (Level 4: $184,000 – $287,500; Level 5: $224,000 – $356,500). Eligible for equity, generous benefits package, and other perks. EEO Statement
NVIDIA is committed to fostering a diverse work environment and is an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Applications accepted until December 13 2025.
#J-18808-Ljbffr