Senior Software Developer, AI Networking

🔥 1 minute ago

🏄 California, Texas, +1 more states – Remote

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

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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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

• Develop AI networking communication frameworks and applications running in production on the world’s largest supercomputers and data centers • Develop production tools and benchmarks used by multiple teams inside and outside NVIDIA • Enable new AI models within the benchmarking infrastructure and deliver insights through end-to-end analysis of large-scale workloads across hardware and software stacks • Design and implement automation systems, including large-scale parameter searches to identify optimal configurations across complex systems • Collaborate with networking and hardware teams to co-design new features and software interfaces

🎯 Requirements

• B.Sc. or M.Sc. degree in Computer Science / Software Engineering or equivalent experience • 5+ years of experience • Professional Python development experience • Solid Linux expertise • Ability to work across a broad and evolving stack, from hardware and networking to large-scale AI systems across entire clusters • Knowledge and/or experience with PyTorch, LLMs, inference and training • Familiarity with cluster orchestration systems such as Slurm or Kubernetes • Knowledge of MPI and HPC, InfiniBand, Ethernet and Networking • Experience in performance optimizations

🏖️ Benefits

• Equity • Benefits

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