1 day ago
Base Salary
$184k - $288k/yr
Responsibilities
- Develop factory pipelines that convert AI models into deployable services validated across cloud, on-premises, and Kubernetes environments.
- Design interfaces, data models, schemas, observability, metrics, and compute infrastructure for the factory pipeline.
- Build scalable and reliable distributed systems, backend services, microservices, automation, test harnesses, and container workflows.
- Collaborate with AI model teams and technical leaders to improve infrastructure, productivity, and NIM delivery.
- Debug and analyze distributed microservice and cloud-system performance.
- Mentor colleagues and lead cross-functional technical efforts.
Requirements
- Bachelor’s or master’s degree in Computer Science, Computer Engineering, or a related field, or equivalent experience.
- 8+ years of experience developing performant microservices, cloud software, and/or tooling.
- Advanced programming experience building distributed and compute systems, backend services, microservices, and cloud technologies.
- Deep expertise in containerized distributed applications using Docker, Kubernetes, Cloud Endpoints, Helm, and Prometheus.
- Experience building and testing microservice automation pipelines.
- Experience working across organizational boundaries with multifunctional teams, principals, and architects.
- Proven ability to debug and analyze distributed microservice or cloud-system performance.
- Preferred experience with event-driven applications using Temporal, Kafka, Redis, or similar services.
- Preferred experience deploying containers for cloud and on-premises microservices and their associated CI/CD pipelines.
- Preferred experience with large-scale full-stack development.
Benefits
- Eligible for equity and benefits.
- Applications will be accepted at least until November 6, 2026.
Tech Stack
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.