Software Platform Support Engineer – GPU Cloud

🔥 20 hours ago

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

🏄 California – Remote 🌲 North Carolina – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $108k - $172.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

🦅 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

• Coordinate with multiple internal teams to provide Tier 1 support for complex cloud platforms • Define and improve operational workflows, including runbooks, escalation paths, and support processes • Triage and investigate root causes of customer issues and escalate as needed • File bugs and report issues while working closely with the Site Reliability team • Build tooling to improve the customer support process and visibility • Develop a deep understanding of user workloads and use cases • Partner with multiple internal teams to provide feedback to engineering teams and develop solutions • Participate in an on-call rotation to support production systems

🎯 Requirements

• BS/MS degree in Computer science or related areas (or equivalent experience) • 5+ yrs of experience with supporting distributed software systems, supporting end-user software platforms, and experience with Linux • Experience with Kubernetes, AWS, Azure, OCI, and GCP • Background of Infrastructure, Networking, Storage, and DevOps scripting/tooling • Understanding of data storage technologies (databases, file, block, blob) • Customer Service/Support Experience • Willingness to work up and down the stack as well as across multiple teams • Strong skills in troubleshooting and Communication • Experience with MLOps workflows or ML infrastructure • Familiarity with GPU workloads or distributed training systems • SLURM or HPC previous experience • Strong drive to work with internal customers and make them successful • A drive to improve process with strong organizational skills

🏖️ Benefits

• Equity • Benefits