Senior Software Engineer, Distributed Systems - NIM Factory

Responsibilities

• Develop a factory pipeline that takes an AI model in and produces a deployable service validated across Cloud, On‑prem and Kubernetes environments.
• Define and deliver rapid iterations on the group’s technical strategies and roadmaps to improve the NIM factory.
• Design interfaces, data modeling and schema design, and expand observability over the factory pipeline and its compute infrastructure.
• Collaborate with technical leaders to design and develop scalable and reliable factory components.
• Work with multiple AI model teams to understand requirements and build an efficient infrastructure that improves every team’s productivity.
• Define metrics and drive improvements based on user feedback.
• Mentor and collaborate throughout the team and with other teams to grow your colleagues and yourself.

• History of using advanced programming skills to build distributed and compute systems, backend services, microservices and cloud technologies.
• Effective experience working with multi‑functional teams, principals and architects across organizational boundaries.
• Mentorship and growth of teams and team members, and flexibility to adjust direction and expectations based on customer needs.
• Deep technical expertise in distributed containerized applications using Docker, Kubernetes, Cloud Endpoints, Helm, and Prometheus.
• Passion for building rich microservice applications, build and test automation pipelines.
• Excellent interpersonal skills and ability to lead multi‑functional efforts.
• Proven experience debugging and analyzing performance of distributed microservices or cloud systems.
• BS or MS in Computer Science, Computer Engineering or related field (or equivalent experience).
• 8+ years of experience developing microservices, cloud software and/or tooling roles.

• Experience delivering event‑driven applications using services such as Temporal, Kafka, Redis and ability to discuss pros and cons of these choices.
• History of building and deploying containers for microservices, cloud and on‑prem deployments, and associated CI/CD pipelines.
• Prior experience working with large‑scale full‑stack development.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is $168,000 - $270,250 USD for Level 4, and $200,000 - $322,000 USD for Level 5.

You will be eligible for equity and benefits.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal‑opportunity employer. We do not discriminate 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.

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