Senior Software Developer, AI Networking

🕒 July 16

🏄 California, New York, +2 more states – Remote

🏄 California – Remote 🗽 New York – Remote 🤠 Texas – Remote ☕ Washington – Remote

💵 $152k - $287.5k / year

⏰ Full Time

🟠 Senior

🤖 AI 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

• Developing 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 our 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 search to identify optimal configurations across complex systems. • Collaborate closely with networking and hardware teams to co-design new features and software interfaces in a fast-paced, evolving environment.

🎯 Requirements

• B.Sc., M.Sc degree in Computer Science / Software engineering or equivalent experience. • 5+ years of experience. • Professional Python development experience. • Solid Linux expertise and passion for working extensively in command-line environments. • Ability to work across a broad and evolving stack, with a strong drive to learn—from hardware and networking up to large-scale AI systems running across entire clusters. • Knowledge and/or experience with modern AI ecosystem: PyTorch, LLMs, inference and training. • Familiarity with cluster orchestration systems such as Slurm or Kubernetes. • Knowledge in MPI and HPC, InfiniBand, Ethernet and Networking. • Experience in performance optimizations.

🏖️ Benefits

• equity • benefits