AI Compute Engineer

🕒 October 2

🏄 California – Remote

🏄 California – Remote

💵 $124k - $195.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Deploy, manage, and validate AI Compute/HPC infrastructure in Linux-based environments for new and existing customers • Act as the domain expert with customers from planning calls through implementation • Interact with customers, partners, and internal teams to analyze, define, and implement large-scale AI Compute projects • Work across networking, system design, automation, and validation • Prepare handover-related documentation and perform knowledge transfers as customers begin rolling out sophisticated systems • Provide feedback to internal teams by opening bugs, documenting workarounds, and suggesting improvements

🎯 Requirements

• 4+ years providing in-depth support and deployment services and solving problems for hardware and software products • Knowledge and experience with Linux system administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, and network routing/advanced networking • Cluster management and provisioning technologies for bare-metal servers; bonus credit for BCM (Base Command Manager) • Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering, or equivalent experience • Scripting proficiency in Bash, Python, Ansible, or similar • Excellent interpersonal skills and ability to deliver resolutions for customer issues • Strong organizational skills and ability to prioritize/multi-task with limited supervision • Experience with schedulers such as SLURM, LSF, or UGE • Ability to travel to customer sites within the United States up to 20% of the time • Experience with benchmarking tools such as HPL, NCCL tests, and MLPerf • Kubernetes experience • InfiniBand experience • Experience with GPU-focused hardware/software • Experience with MPI • Experience with storage technologies such as Lustre or GPFS • Familiarity with OEM GPU platforms

🏖️ Benefits

• Equity • Benefits • Equal opportunity employer