Senior Software Engineer - Topography

at Nvidia

USD 184,000-287,500 per year

SENIOR

✅ Remote

Tech Stack
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AI API @ 4 Debugging @ 6 Distributed Systems @ 4 GPU @ 4 Go @ 7 HPC @ 4 InfiniBand @ 4 Kubernetes @ 4 Linux @ 4 Machine Learning NVLink @ 4 Networking @ 3 Slurm @ 4

Details

Are you passionate about Kubernetes and AI and want to help build the best platform for ML/AI infrastructure? NVIDIA's collaborative group of engineers, architects, and SREs builds and nurtures a declarative, Kubernetes-native control plane that powers GPU-accelerated infrastructure across multiple cloud providers.

The team is building a platform that gathers topology-related information from multiple sources and systems, aggregates and normalizes that data, and makes it available to provisioning systems and workload schedulers. This role will help maintain the critical open-source Topograph project and interface with NVIDIA hardware to ensure GPU-to-GPU communication is optimized for large-scale workloads across multiple providers.

Responsibilities

Build a system that gathers topology-related information from multiple sources.
Aggregate and normalize collected data for provisioning systems and workload schedulers.
Contribute directly to the critical open-source Topograph project.
Interact with current hardware to ensure new product launches have efficient scheduling capabilities.

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.

Preferred Qualifications

Experience with GPU clusters, NVLink, InfiniBand, Ethernet fabrics, or HPC.
Hands-on experience with Kubernetes scheduling, Slurm/Slinky topology, DRA, Kueue, Slinky, or device plugins.
Experience integrating with cloud provider topology APIs or cluster metadata systems.

Benefits

Base salary range of $184,000–$287,500 USD, determined by location, experience, and compensation for similar positions.
Eligibility for equity and benefits.
NVIDIA is an equal opportunity employer committed to an inclusive work environment.
This is an existing vacancy, and applications will be accepted at least until July 5, 2026.
NVIDIA uses AI tools in its recruiting processes.