About the role
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
What you'll be doing:
Gathering use cases + requirements, translating those into software roadmaps, and executing those roadmaps across internal NVIDIA teams and external partners.
Reporting project status, risks, help needed, and roadmap pivots to internal and external executives via status reports and in-person meetings.
Brokering technical discussions between highly technical subject matter experts
Leveraging AI tools and workflows to quickly iterate on designs, prototypes, documentation, tests, and code.
Architecting distributed, robust, and scalable GoLang and Rust system software, deployed to monitor and manage large datacenters
What we need to see:
BS or higher in Computer Science or equivalent experience. 15+ years of meaningful industry experience with a strong scalable system software development background
Experience with APIs and interface design. Experience with AI tools and development workflows
Outstanding written and verbal interpersonal skills. Business level English. Strong motivation and commitment to learn new skills
Ability to manage time in a fast, heavily multitasked environment. Development experience with Rust, Python, and/or GoLang.
Development experience with distributed systems and concurrent applications, especially in a Kubernetes environment
Ability to quickly understand unfamiliar technical domains, identify core problems, and translate ambiguous requirements into actional engineering plans.
Skilled at producing clear technical documentation, design docs, and status updates that keep cross-functional partners aligned.
Track record of identifying process inefficiencies and introducing automation, tooling, or AI-power workflows that measurably improve team out.
Ways to stand out from the crowd:
Development experience in relevant coding languages like GoLang and Rust. Experience with SCADA or Data Center power related software
Background with containers (e.g. Docker, OCI), orchestration frameworks, and logging/telemetry backends with Kubernetes monitoring stacks with tools such as Prometheus, Loki and Grafana
Experience with modern UI development in React and Node.js or similar frameworks. Experience developing Kubernetes operators or Helm charts. Experience with HPC job schedulers like Slurm or Run.AI Familiarity with Kubernetes internals. Exposure to GPU programming with CUDA.
NVIDIA is often recognized as one of the technology industry's most esteemed employers. We have some of the brightest and most driven individuals in the world working with us. If you are a self-motivated and imaginative individual, we encourage you to apply!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.Skills & Tags
Aplyr's read
NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.
What's promising
- •NVIDIA leads the GPU market, crucial for gaming and AI applications.
- •The company invests heavily in AI and deep learning, driving technological advancements.
- •NVIDIA's strong market position offers stability and growth opportunities for employees.
What to watch
- •High competition in the semiconductor industry can impact market share.
- •Rapid technological changes require constant adaptation and learning.
- •Intense workload and high expectations may affect work-life balance.
Why NVIDIA
- •NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
- •The company's AI research is at the forefront of deep learning innovation.
- •NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.
Aplyr’s read is generated by AI from public sources. Was it useful?
About NVIDIA
NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.
Similar roles
Software Engineer or Senior Software Engineer - Data Hub
Workday
Analytics Sr Software Engineer (US Federal)
Workday
Lead Data Engineer (Lead Member of Technical Staff)
Salesforce
Senior Software Engineer (Data Engineering)
Workday
Software & Data Integration Engineer
Arrow Electronics
Data Engineer and Application Developer
Booz Allen Hamilton