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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Building a system that gathers topology related information from multiple sources • Taking data collected to aggregate and normalize the data to make it available for provisioning systems and workload schedulers • Direct contributor in a critical open-source project, Topograph • Interacting with the latest and greatest hardware to ensure new product launches have the most 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:

🏖️ Benefits

• equity • benefits