Senior Full-Stack Lead Engineer
$224k - $357k • Remote • US, CA, Santa Clara
Posted 1d ago
Job Location
US, CA, Santa Clara
Tech Stack
Remote Work Policy
Fully remote
Categories
Machine Learning Engineer
About the job
NVIDIA's DGX Cloud team is seeking a Senior Full-Stack Software Engineer to join the AI Hub team. This role will accelerate AI research by ensuring NVIDIA's AI infrastructure is used efficiently, transparently, and at scale. The primary goal is to build a unified, self-service portal for AI researchers to manage, monitor, and optimize their use of Managed AI research Superclusters. You will lead the architecture and delivery of high-scale web products, own multi-team initiatives, and drive reliability and performance improvements.
Responsibilities
- Lead the architecture and delivery of high-scale web products across frontend, backend services, and data layers, meeting availability and latency targets.
- Own multi-team initiatives from problem discovery to success metrics.
- Drive reliability, performance, and observability improvements to meet exascale standards.
- Establish engineering standards and reusable platforms to reduce complexity and manage tech debt.
- Collaborate with AI Research teams to identify pain points and deliver next-generation user experiences.
- Mentor and sponsor engineers, improving code quality, testing, security, and observability.
- Stay ahead of AI/ML infrastructure trends and drive adoption of best practices.
Requirements
- 12+ years of software engineering experience delivering production web systems.
- Bachelor’s degree or higher in Computer Science or related technical field (or equivalent experience).
- Strong cross-functional collaboration skills, including translating complex use cases into technical requirements and designing data models.
- Deep cloud expertise (AWS, GCP, or Azure), infrastructure as code, containers, and orchestration (Docker, Kubernetes).
- Proficiency in modern SPA frameworks (React/Next.js or Vue/Nuxt), JavaScript/TypeScript, and backend languages (Node.js, Python, and/or Golang).
- Familiarity with observability stacks (OpenSearch, Prometheus, Grafana, or Loki).
- Proficiency in API design (REST), schema evolution, and integration patterns, with a strong commitment to automated testing.
- Experience building machine learning platforms or self-service internal infrastructure tools.
- Clear written and verbal communication skills, strong problem-solving ability, and a growth mindset.
- Experience leveraging AI-assisted development tools (e.g., Cursor).
Benefits
- Equity
- Comprehensive benefits package