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Job description
Systems engineers design, deploy, and operate large-scale production systems with high efficiency, reliability, and velocity. They combine software and systems engineering practices across infrastructure automation, containerized platforms, storage, telemetry, and observability. Our team at NVIDIA ensures that our internal and external facing GPU cloud services are deployed reliably, observable end-to-end, and continuously improved through automation.
Design, deploy, and operate solutions on Kubernetes for large-scale storage and data platforms, build tools and services that improve the lifecycle of storage and data systems, and develop and operate telemetry and observability for production systems.
We're looking for a customer-first mindset with a focus on customer satisfaction and a passion for ensuring customer success. Experience with Kubernetes, storage, data, and platform infrastructure is required. Strong analytical troubleshooting skills and proficiency in one or more of Python, Go, or Java are also necessary.
Company
Tech, Software & IT Services
NVIDIA, founded in 1993, is a leading full‑stack computing company that designs and manufactures GPUs and related technologies. Its products power a wide spectrum of applications—from high‑performance gaming and professional graphics to AI, deep learning, and autonomous vehicle systems—while its data‑center solutions enable large‑scale supercomputing and virtualization. NVIDIA’s pioneering GPU architecture has driven the growth of PC gaming, catalyzed the modern AI era, and continues to shape emerging fields such as the metaverse. The company’s integrated hardware‑software ecosystem delivers unprecedented performance and scalability, positioning NVIDIA as a key enabler of next‑generation computing across automotive, robotics, and enterprise sectors.
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