Senior Software Engineer – Topography

🕒 July 1

🏄 California – Remote

🏄 California – Remote

💵 $184k - $287.5k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 16%

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

• Build a system that gathers topology-related information from multiple sources • Aggregate and normalize collected data for provisioning systems and workload schedulers • Directly contribute to the critical open-source Topograph project • Interact with the latest NVIDIA hardware to ensure efficient scheduling capabilities for new product launches • Help maintain the Kubernetes-native control plane powering GPU-accelerated infrastructure across multiple cloud providers

🎯 Requirements

• At least 8 years of relevant experience • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical field, or equivalent experience • Strong production engineering experience in Go or another systems language • Experience with distributed systems, Kubernetes, Slurm/Slinky, Linux, containers, APIs, and CI • Ability to design clean interfaces between discovery logic, data models, and scheduler output • Familiarity with networking, cluster topology, cloud infrastructure, or large-scale compute systems • Excellent testing, debugging, documentation, and code review habits • Experience with GPU clusters, NVLink, InfiniBand, Ethernet fabrics, or HPC • Hands-on work with Kubernetes scheduling, Slurm/Slinky topology, DRA, Kueue, Slinky, or device plugins • Experience integrating with cloud provider topology APIs or cluster metadata systems

🏖️ Benefits

• Equity • Benefits