Senior Systems Engineer – High-Performance AI, Networking Applications

Job not on LinkedIn

November 10

🏄 California – Remote

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

☕ Washington – Remote

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

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

⚙️ Systems Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

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

• Collaborate with networking teams to plan, implement, and evaluate performance benchmarks on NVLINK, NVSwitch, and InfiniBand powered infrastructures. • Assess findings and work closely with framework, hardware, and support teams to improve system performance across various deep learning workloads. • Act as a primary resource for fixing networking and hardware integration issues, focusing on scalable multi-node systems. • Maintain high communication standards across multiple engineering, support, and R&D teams, ensuring technical and performance goals are met. • Offer technical mentorship and documentation for internal teams and external partners on standard methodologies in HPC networking deployments. • Share insights on improving networking strategies for substantial AI and deep learning infrastructure.

🎯 Requirements

• BS/MS or PhD in Computer Science, Engineering, or related field, or equivalent experience. • 8+ years of proven experience in AI/HPC Infrastructure. • Familiarity with AI/HPC job schedulers and orchestrators like Slurm, K8s, or LSF. • Practical exposure to AI/HPC workflows employing MPI and NCCL. • Familiarity with High-Speed Networking pertaining to HPC including InfiniBand, RDMA, RoCE, and Amazon EFA. • Essential to have an understanding of PyTorch, MegatronLM, and Deep Learning Inference frameworks such as vllm/sglang. • Proven experience with InfiniBand, NVLINK, and high-speed networking technologies in HPC or large-scale datacenter environments. • Investigating and evaluating performance in multi-node systems, especially in deep learning or scientific computing tasks. • Strong analytical, debugging, and technical communication skills. • Comfortable working in collaborative, multi-faceted teams.

🏖️ Benefits

• equity • benefits