Senior Compiler Engineer – HPC

Job not on LinkedIn

October 15

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

🌲 Oregon – Remote

Although this job is listed in Oregon, this company may be open to hiring remote in other states.

+2 more states

🏄 California – Remote 🌲 Oregon – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

🦅 H1B Visa Sponsor

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NVIDIA

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Artificial Intelligence • Gaming • Automotive

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

10,000+ employees

Founded 1993

🤖 Artificial Intelligence

🎮 Gaming

📋 Description

• Solve difficult problems at the intersection of compilers, programming models, and high-performance computing architectures • Implement new and future OpenACC, OpenMP, and standard language parallelism features for C++, Fortran, and Python for NVIDIA GPUs and Multicore CPUs • Participate in the evolution of standard language parallelism for GPUs and Multicore CPUs • Balance individual effort with teamwork throughout debugging, prototyping, and productization • Discuss and refine software designs and implementation strategies with peers • Partner with application teams to investigate interesting and meaningful compilation problems from the HPC community

🎯 Requirements

• Bachelors, Masters, or Ph.D. Degree in Computer Science, ECE or equivalent experience • 6+ years experience developing production-quality compilers, tools, or similar software • Proven understanding of compiler internals including experience targeting auto-parallelization and GPU targets • Knowledge of programming fundamentals, especially in C/C++, with a deep understanding of parallel computer architectures and optimizations • Direct experience with Fortran or GPU programming models is a huge plus • Experience writing code using Modern C++ • Experience with GPU-based parallel computing • Familiarity with C++, Fortran, OpenACC, OpenMP, or CUDA compilation • Passion for compiler development.

🏖️ Benefits

• equity • benefits