10 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Design and implement features that collect, analyze, and visualize performance profiling data in cloud and cluster environments.
- Work across the full product feature lifecycle, from prototypes to user demos.
- Collaborate across teams to understand requirements, user needs, and expectations.
- Apply knowledge of underlying hardware and software to deliver valuable product features.
- Interact with internal and external users, help them maximize product value, and communicate feedback to the product team.
- Collaborate with team members across multiple time zones.
Requirements
- Fluency in C++, Rust, or Go, with willingness to write some features in C++.
- Experience working with Kubernetes and in distributed environments.
- Strong understanding of algorithms and computer architecture.
- Bachelor’s or master’s degree in electrical engineering, computer engineering, computer science, or systems engineering, or equivalent experience.
- At least 5 years of experience in a related software position.
- Excellent problem-solving, collaborative, and interpersonal skills.
- Preferred experience with GPUs, CUDA, HPC, clusters, networking, and performance optimization in cloud environments.
- Preferred experience deploying and maintaining microservices and building web APIs.
- Familiarity with GraphQL and proficiency with Datadog, ClickHouse, and Grafana.
Benefits
- Eligible for equity and benefits.
- Applications are accepted at least until November 3, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.