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Nvidia Reliability Engineer Jobs (NOW HIRING)

Luma

Senior Site Reliability Engineer

Redwood City, CA · On-site

$168K - $252K/yr

... NVIDIA and AMD GPUs across on-prem and multi-cloud (AWS and OCI). As a Senior SRE, you keep ... training and inference clusters reliable and fast, and you help redesign them for the next level of ...

Nastech Global

AI Infra SRE Engineer

San Jose, CA · Remote

$58.25 - $77.50/hr

AI Infra SRE Engineer - DGX Location: Remote Duration: Fulltime Must-have ... NVIDIA (DGX) or equivalent high-performance-compute (HPC) clusters (e.g. Cray, HPE, IBM) * Cisco ...

Moonlite AI

Sr. Site Reliability Engineer (SRE)

Chicago, IL · On-site

$58.75 - $78/hr

... NVIDIA GPU operators, device plugins, and other custom scheduling logic for GPU workload placement and utilization optimization. • Build deep integrations between Kubernetes and underlying ...

OVA.Work

AI Reliability Engineer

$58.25 - $77.50/hr

Job Summary : OVA.Work is seeking an AI Reliability Engineer to ensure the reliability ... NVIDIA Triton Inference Server, Ray Serve, or BentoML. • Experience implementing AI model ...

NVIDIA Corporation

JR2018660We are seeking Systems Quality and Reliability Engineer to join our LPU team ... NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 fueled ...

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Nvidia Reliability Engineer information

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How much do nvidia reliability engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for nvidia reliability engineer in the United States is $117,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What does an Nvidia Reliability Engineer do?

An Nvidia Reliability Engineer is responsible for ensuring the long-term performance and durability of Nvidia’s hardware products, such as GPUs and other semiconductor devices. They design and conduct tests to simulate real-world conditions, analyze product failures, and work closely with design and manufacturing teams to identify and eliminate potential reliability risks. Their work helps guarantee that Nvidia products meet high-quality standards and perform reliably throughout their expected lifespans. Reliability Engineers also contribute to continuous improvement of manufacturing processes and materials used in Nvidia products.

What are the key skills and qualifications needed to thrive as an Nvidia Reliability Engineer?

To thrive as an Nvidia Reliability Engineer, you need a strong background in electrical or mechanical engineering, materials science, and reliability testing methodologies, typically backed by a relevant engineering degree. Familiarity with reliability analysis tools (such as Weibull++), statistical analysis software, and industry standards like JEDEC is essential, along with experience in root cause analysis systems. Strong problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating across multidisciplinary teams and presenting findings. These skills ensure the development and maintenance of high-quality, robust products that meet Nvidia's performance and longevity requirements.

What are the typical collaboration points between an Nvidia Reliability Engineer and cross-functional teams during product development?

As a Nvidia Reliability Engineer, you will work closely with design, manufacturing, and quality assurance teams throughout the product lifecycle. Your responsibilities include sharing reliability test results, providing feedback on potential design improvements, and coordinating with manufacturing to ensure that reliability standards are met during mass production. Regular meetings and clear communication are essential, as your insights help guide design modifications and process optimizations, ultimately contributing to the development of high-quality and robust Nvidia products.

What are popular job titles related to Nvidia Reliability Engineer jobs?

For Nvidia Reliability Engineer jobs, the most frequently searched job titles are:

Infographic showing various Nvidia Reliability Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $117,973 per year, or $56.7 per hour.

Site Reliability Engineer

Santa Clara, CA • On-site

Sustainable Talent
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Sustainable Talentexternal

$65 - $85/hr

Full-time

PTO

Re-posted 15 days ago

Job description

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Site Reliability Engineer to support our client's team based out of in Santa Clara, Ca.
This is a full-time (W-2) contract role. We offer competitive pay $65/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!
We're looking for a Site Reliability Engineer (Contract) to work in IPP (Infrastructure, Planning and Process). IPP is a global organization within NVIDIA. This group works with various other groups within NVIDIA Software such as Graphics Processors, Mobile Processors, Deep Learning, Artificial Intelligence and Driverless Cars to cater to their infrastructure needs. These cloud services provide almost half a million automated jobs per day on thousands of servers helping with the efficiency of thousands of NVIDIA's software engineers worldwide.
The cloud hosts a heterogeneous mix of machines and devices with various operating systems (Windows/Linux/Android), a multitude of hardware platforms both NVIDIA GPUs and Tegra Processors. Are you passionate about infrastructure and looking for sophisticated, relevant issues, ready to build the next generation of cloud services, craft creative solutions, mine through data to uncover real problems and fix them? We would be excited to have you onboard.
What you'll be doing:
  • Fleet monitoring & recovery of assets in our private cloud environment that houses several compute servers with NVIDIA GPUs.

  • Specific focus on building and stabilizing our virtualization infrastructure of ESXi, KVM and Hyper-V.

  • Deploy and maintain a large farm of machines using the latest Configuration Management & Infrastructure Automation tools (Chef, Ansible, Terraform).

  • Participate in on-call & rotational L1 support for round-the-clock monitoring and remediation of infrastructure issues (PagerDuty)

  • Analyze and Debug operating system, networking, configuration and performance problems.

  • Assist in roll-out and deployment of infrastructure configurations to supporting the latest NVIDIA hardware and technologies.

  • Contribute to the development of monitoring systems to have fast, reliable and real-time pulse of the various infrastructure subsystems (Zabbix, Big Panda, Grafana)

What we need to see:
  • Bachelor's or Master's Degree in Computer Science or Software Engineering, or equivalent experience.

  • Experience working in large scale enterprise production systems. 5+ years of professional experience required.

  • Ability to debug and analyze system issues, code to triage, root cause and resolve issues in the infrastructure. Work closely with the platform engineering team in understanding hardware setups.

  • Familiar with maintenance and setup of Linux, Windows hosts

  • Scripting experience with any of Python, Go. Unix shell proficiency.

  • Experience with version control systems like Perforce, GIT.

Ways to stand out from the crowd:
  • Experience with VM and hardware virtualization technologies like VMware, KVM, Hyper-V, Docker and Kubernetes.

  • Background with automating bare metal and VM provisioning.

  • Experience with supporting GPUs, embedded device development, driver development and CUDA/TensorRT applications.

  • Development experience in Chef, Ansible and infrastructure orchestration.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.

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