NVIDIA’s HPC compiler group wants to hire a Compiler Developer to join the team building one of the worlds most important optimizing compilers. If you want to be in the driver seat of state of the art compiler development for high-performance computing, then we want you! Were the team implementing C++ Standard Language Parallel Algorithms, OpenACC, and Flang with a keen focus on high-level optimization for GPUs and CPUs using MLIR and LLVM.What youll be doing:<ul><li>Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures</li><li>Implement new and future OpenACC, OpenMP, and standard language parallelism features for C++, Fortran, and Python for NVIDIA GPUs and Multicore CPUs</li><li>Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs</li><li>Balance individual effort with teamwork throughout debugging, prototyping, and productization</li><li>Discuss and refine software designs and implementation strategies with peers</li><li>Partner with application teams to investigate interesting and meaningful compilation problems from the HPC community </li></ul>What we need to see:<ul><li>Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience</li><li>6+ years experience developing production-quality compilers, tools, or similar software</li><li>Proven understanding of compiler internals including experience targeting auto-parallelization and GPU targets</li><li>Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations </li></ul>Ways to stand out from the crowd:<ul><li>Direct experience with Fortran or GPU programming models is a huge plus</li><li>Experience writing code using Modern C++</li><li>Experience with GPU-based parallel computing</li><li>Familiarity with C++, Fortran, OpenACC, OpenMP, or CUDA compilation</li><li>You have a real passion for compiler development</li></ul>NVIDIAs invention of the GPU revolutionized parallel computing. Our GPUs are being used in many of the largest high-performance computing projects around the world, solving real world problems. Our products are used to build and parallelize the most meaningful scientific applications for weather modeling, climatology, fluid dynamics and defense. We support real science and scientists throughout the world. NVIDIA is widely considered to be one of high technologys most desirable employers. We have some of the most forward-thinking and experienced people in the world working for us. Our goal is to craft an environment where we can do our lifes best work. If youre creative, autonomous, and highly motivated, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.<div><div><div><div><div><div><div>You will also be eligible for equity and <a href="https://www.nvidia.com/en-us/benefits/" target="_blank">benefits</a>.</div></div></div></div></div></div></div>Applications for this job will be accepted at least until October 19, 2025.NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.