Senior Software Architect – Deep Learning, HPC Communications

🕒 June 25

🏄 California, North Carolina, +2 more states – Remote

🏄 California – Remote 🌲 North Carolina – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $224k - $356.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

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.

📋 Description

• Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems. • Design and implement new communication technologies to accelerate AI and HPC workloads. • Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects. • Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations. • Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs)

🎯 Requirements

• M.S./Ph.D. degree in CS/CE or equivalent experience. • 12+ years of relevant experience. • Excellent C/C++ programming and debugging skills. • Experience with parallel programming models (MPI, SHMEM) and at least one communication runtime (MPI, NCCL, NVSHMEM, OpenSHMEM, UCX, UCC). • Deep understanding of operating systems, computer and system architecture. • Solid in fundamentals of network architecture, topology, algorithms, and communication scaling relevant to AI and HPC workloads. • Strong experience with Linux. • Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.

🏖️ Benefits

• equity • benefits