Senior Software Engineer, Distributed Systems - NIM Factory at NVIDIA

You are an experienced software engineer with at least eight years of background in distributed systems and cloud infrastructure. You hold a degree in computer

Work type: remote

Location: US, CA, Santa Clara | US, TX, Remote | US, NY, Remote | US, CA, Remote

Salary: $168,000 – $322,000/yr

Type: Full-time

Summary

You are an experienced software engineer with at least eight years of background in distributed systems and cloud infrastructure. You hold a degree in computer science or a related field and have a track record of building performant backend services and automation pipelines. **What makes it worth a look...** NVIDIA is hiring for this fully remote role across several US locations with a base salary ranging from $168,000 to $322,000 depending on seniority level. You will receive equity and comprehensive benefits while building the infrastructure that powers AI model deployment. **You might be a good fit if you...** * Have deep technical expertise in Docker, Kubernetes, and Helm. * Can demonstrate a history of building and maintaining large scale CI/CD pipelines. * Possess hands-on experience with Prometheus, log ingestion, and performance debugging. * Know how to design scalable interfaces and data schemas for microservice architectures.

Job Description

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 NVIDIA's 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.

What you'll be doing:

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 group's 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. You will have a history of learning and growing your skills and those around you.

What we need to see:

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 ability 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 from the crowd:

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

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 you're creative and autonomous with a real passion for technology we want to hear from you.

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 - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).

Applications for this job will be accepted at least until April 19, 2026.

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.

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