NVIDIA is the platform upon which every new AI-powered application is built. We are seeking a senior engineer to design and build factory infrastructure and automation for NVIDIA Inference Microservices (NIMs). The right person for this role brings technical drive and creativity to change the way NVIDIA optimizes and serves performant inferencing for every AI model in a heterogeneous cluster environments. Our NIM offerings are easy to use, highly performant and tested in all deployment scenarios, in the cloud, on customer's self-hosted infrastructure and locally on all NVIDIA GPUs.
You will apply your deep technical expertise to design an efficient, scalable and reliable automation factory infrastructure that will take AI models to become NIMs that are validated for best in class performance and accuracy. NVIDIA is building a new category of products, by intersecting our prowess in deep learning and computing, with industry-leading technologies. You will harness groundbreaking technologies, and build a highly efficient factory to power how NVIDIA builds and validates NIMs for inferencing all the way through deployment in heterogeneous hardware and software environments.
You will influence and drive technical advances in NVIDIAs workflows and build the infrastructure that strives to accelerate the delivery of every AI model on NVIDIAs GPUs anywhere. We are looking for technical talent to design and build our factory capabilities, including the underlying infrastructure, pipelines, backends, Docker build, test harness, metrics, performance engineering, log ingestion, and more.
Job Responsibilities
Develop a factory pipeline that will take an AI model in and produce a deployable service that is validated across Cloud, On-prem and Kubernetes environments. With the team, define and deliver rapid iterations on the groups technical strategies and roadmaps to deliver and improve the NIM factory. You will be designing interfaces, data modeling and schema design, and expanding observability over the factory pipeline and its compute infrastructure.
Work with technical leaders designing and developing scalable and reliable factory components. You will collaborate with multiple AI model teams to understand their requirements to build an efficient infrastructure that improves every teams productivity.
Define metrics and drive improvements based on user feedback. You will mentor and collaborate throughout the team and with other teams to grow your colleagues and yourself.
Requirements
A history of using your 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, growing teams and team members, and the flexibility to adjust your direction and expectations given the needs of our customers.
Deep technical expertise in distributed containerize applications using technologies such as Docker, K8s, Cloud Endpoints, Helm, and Prometheus.
Passion for building rich, microservice applications build and test automation pipeline.
Excellent interpersonal skills and the ability to lead multi-functional efforts.
Proven experience debugging and analyzing the performance of distributed microservices or cloud systems.
BS or MS in Computer Science, Computer Engineering or related field (or equivalent experience)
8+ years of shown experience developing performant microservice, cloud software and/or tooling roles
Ways to Stand Out
Experience delivering event-driven applications using various services such as Temporal, Kafka, Redis or others and a demonstrable ability to discuss the pros and cons of these choices.
A history of building and deploying containers for Microservices, Cloud and On-prem deployments, and their associated CI/CD pipelines.
Prior experience in working with large scale full stack development
About NVIDIA
We are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and creative people in the world working for us. If youre creative and autonomous with a real passion for technology we want to hear from you.
Compensation and Benefits
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 USD - 264,500 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.
You will also be eligible for equity and benefits.
Application Information
Applications for this job will be accepted at least until January 10, 2026.
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.
Visualize your future . . . We Do
NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.