Reliability Engineer Jobs in USA with Visa Sponsorship
Reliability engineers build and maintain systems that keep critical infrastructure running smoothly. For H-1B visa sponsorship, your role needs to require specialized engineering knowledge typically gained through a bachelor's degree in engineering, computer science, or related field. Most positions qualify as specialty occupations under immigration law. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
ABOUT SAMBANOVA SYSTEMS
Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems.
THE ROLE
As a Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have exceptional uptime, low-latency response times, and efficient resource utilization, directly impacting the experience of our customers and the success of our AI products. This role includes participating in a shared on-call rotation to maintain 24/7 service reliability.
Service Ownership & On-Call: Take shared ownership of the production inferencing service, including its availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning across multiple regions. This includes implementing and supporting AI infrastructure in new regions, such as Asia, Europe, and Latin America, to support the growth of our business. Participate in a balanced on-call rotation to provide 24/7 support for the service.
ON-CALL & WORK-LIFE BALANCE
We believe a sustainable on-call schedule is critical for long-term success and team health. Our on-call philosophy is built on the following principles:
- Balanced Rotation: The on-call rotation is shared equally across the team, typically following a primary/secondary (follow-the-sun) model to ensure no single person bears a disproportionate burden.
- Focus on Prevention: We invest heavily in automation, robust testing, and system design to prevent pages before they happen. The goal of on-call is not to heroically fight fires, but to manage rare, complex failures and use those learnings to make the system more resilient.
- Actionable Alerts: We have a strict policy against alert fatigue. Alerts must be actionable and require immediate human intervention.
- Incident Management: Lead the response to incidents affecting the inferencing service, driving blameless post-mortems and implementing corrective actions to prevent recurrence.
- Monitoring & Alerting: Develop and maintain advanced monitoring, alerting, and dashboarding (using tools like Prometheus, Grafana, Datadog) to gain deep insights into service health, model performance (e.g., latency, throughput, error rates), and accelerator utilization. A key responsibility is ensuring alerts are actionable and have a low false-positive rate, minimizing on-call fatigue.
- Performance & Scalability: Proactively identify and eliminate performance bottlenecks. Design and implement auto-scaling policies to handle variable inference loads cost-effectively. Use insights from on-call incidents to drive improvements that enhance system stability and scalability.
- Infrastructure as Code (IaC): Manage and evolve our cloud infrastructure (on AWS, GCP, and/or Azure along with on-prem) using tools like Terraform and Ansible, ensuring it is secure, repeatable, and scalable.
- CI/CD & Automation: Champion automation by building and improving CI/CD pipelines for the seamless and safe deployment of new model versions and service updates. A core goal is to automate manual toil identified during on-call shifts, reducing future operational overhead.
- Capacity Planning: Forecast infrastructure needs based on product roadmaps and usage trends. Work with finance and engineering teams to manage cloud costs and optimize spending.
- SLOs & SLIs: Define, measure, and report on Service Level Objectives (SLOs) and Indicators (SLIs) for the inferencing platform, using data to drive prioritization and reliability investments.
WHAT WE'RE LOOKING FOR (MUST-HAVES)
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3-5+ years of experience in a Site Reliability Engineer, DevOps, or related role supporting a large-scale, customer-facing service in a public cloud environment (AWS, GCP, Azure).
- Strong programming/scripting skills in languages like Python, Go, or Java.
- Proven experience with containerization and orchestration technologies (Docker, Kubernetes).
- Deep understanding of monitoring and observability principles and tools (e.g., Prometheus, Grafana, ELK Stack, Datadog).
- Solid experience with Infrastructure as Code (e.g., Terraform, CloudFormation).
- Familiarity with CI/CD principles and tools (e.g., Jenkins, GitHub Actions, ArgoCD).
- Excellent problem-solving skills and a systematic approach to troubleshooting complex distributed systems.
WHAT WILL MAKE YOU STAND OUT (NICE-TO-HAVES)
- Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure.
- Direct experience supporting ML/AI inferencing services in production.
- Familiarity with GPU-accelerated computing and optimizing workloads for NVIDIA GPUs for purposes of mapping to RDUs.
- Knowledge of model serving frameworks like vLLM, SGLang or Ray.
- Understanding of MLOps principles and practices.
- Experience with managing and tuning databases (SQL or NoSQL) and caching systems (Redis, Memcached).
- Strong Linux/Unix system administration fundamentals.
WHY SAMBANOVA?
- Massive Impact: You will be a key part of a critical platform with high visibility and direct impact on our product and engineers.
- Cutting-Edge Technology: Work with a world-class team on one of the most advanced AI stacks in the industry.
- Autonomy and Growth: We trust you to make technical decisions. This is a greenfield opportunity to build something remarkable from the ground up.
- Competitive Compensation: Including equity, excellent benefits, and a flexible work environment.
SUBMISSION GUIDELINES
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO POLICY
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
BENEFITS SUMMARY FOR US-BASED, FULL-TIME EMPLOYMENT POSITIONS
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
INTRODUCTION
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
ABOUT SAMBANOVA SYSTEMS
Join the company that's building the future of AI computing. At SambaNova, we are disrupting the AI and high-performance computing space with our integrated hardware and software platform. Our DataScale systems and SambaFlow software are pushing the boundaries of what's possible with generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems.
THE ROLE
As a Cloud Site Reliability Engineer (SRE) specializing in our AI Inferencing Service, you will be the guardian of its reliability, performance, and scalability. You will bridge the gap between software development and operations, applying an engineering mindset to solve operational challenges. Your primary focus will be ensuring our inference endpoints have exceptional uptime, low-latency response times, and efficient resource utilization, directly impacting the experience of our customers and the success of our AI products. This role includes participating in a shared on-call rotation to maintain 24/7 service reliability.
Service Ownership & On-Call: Take shared ownership of the production inferencing service, including its availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning across multiple regions. This includes implementing and supporting AI infrastructure in new regions, such as Asia, Europe, and Latin America, to support the growth of our business. Participate in a balanced on-call rotation to provide 24/7 support for the service.
ON-CALL & WORK-LIFE BALANCE
We believe a sustainable on-call schedule is critical for long-term success and team health. Our on-call philosophy is built on the following principles:
- Balanced Rotation: The on-call rotation is shared equally across the team, typically following a primary/secondary (follow-the-sun) model to ensure no single person bears a disproportionate burden.
- Focus on Prevention: We invest heavily in automation, robust testing, and system design to prevent pages before they happen. The goal of on-call is not to heroically fight fires, but to manage rare, complex failures and use those learnings to make the system more resilient.
- Actionable Alerts: We have a strict policy against alert fatigue. Alerts must be actionable and require immediate human intervention.
- Incident Management: Lead the response to incidents affecting the inferencing service, driving blameless post-mortems and implementing corrective actions to prevent recurrence.
- Monitoring & Alerting: Develop and maintain advanced monitoring, alerting, and dashboarding (using tools like Prometheus, Grafana, Datadog) to gain deep insights into service health, model performance (e.g., latency, throughput, error rates), and accelerator utilization. A key responsibility is ensuring alerts are actionable and have a low false-positive rate, minimizing on-call fatigue.
- Performance & Scalability: Proactively identify and eliminate performance bottlenecks. Design and implement auto-scaling policies to handle variable inference loads cost-effectively. Use insights from on-call incidents to drive improvements that enhance system stability and scalability.
- Infrastructure as Code (IaC): Manage and evolve our cloud infrastructure (on AWS, GCP, and/or Azure along with on-prem) using tools like Terraform and Ansible, ensuring it is secure, repeatable, and scalable.
- CI/CD & Automation: Champion automation by building and improving CI/CD pipelines for the seamless and safe deployment of new model versions and service updates. A core goal is to automate manual toil identified during on-call shifts, reducing future operational overhead.
- Capacity Planning: Forecast infrastructure needs based on product roadmaps and usage trends. Work with finance and engineering teams to manage cloud costs and optimize spending.
- SLOs & SLIs: Define, measure, and report on Service Level Objectives (SLOs) and Indicators (SLIs) for the inferencing platform, using data to drive prioritization and reliability investments.
WHAT WE'RE LOOKING FOR (MUST-HAVES)
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- 3-5+ years of experience in a Site Reliability Engineer, DevOps, or related role supporting a large-scale, customer-facing service in a public cloud environment (AWS, GCP, Azure).
- Strong programming/scripting skills in languages like Python, Go, or Java.
- Proven experience with containerization and orchestration technologies (Docker, Kubernetes).
- Deep understanding of monitoring and observability principles and tools (e.g., Prometheus, Grafana, ELK Stack, Datadog).
- Solid experience with Infrastructure as Code (e.g., Terraform, CloudFormation).
- Familiarity with CI/CD principles and tools (e.g., Jenkins, GitHub Actions, ArgoCD).
- Excellent problem-solving skills and a systematic approach to troubleshooting complex distributed systems.
WHAT WILL MAKE YOU STAND OUT (NICE-TO-HAVES)
- Experience in a hybrid environment bridging cloud and on-premise/data center infrastructure.
- Direct experience supporting ML/AI inferencing services in production.
- Familiarity with GPU-accelerated computing and optimizing workloads for NVIDIA GPUs for purposes of mapping to RDUs.
- Knowledge of model serving frameworks like vLLM, SGLang or Ray.
- Understanding of MLOps principles and practices.
- Experience with managing and tuning databases (SQL or NoSQL) and caching systems (Redis, Memcached).
- Strong Linux/Unix system administration fundamentals.
WHY SAMBANOVA?
- Massive Impact: You will be a key part of a critical platform with high visibility and direct impact on our product and engineers.
- Cutting-Edge Technology: Work with a world-class team on one of the most advanced AI stacks in the industry.
- Autonomy and Growth: We trust you to make technical decisions. This is a greenfield opportunity to build something remarkable from the ground up.
- Competitive Compensation: Including equity, excellent benefits, and a flexible work environment.
SUBMISSION GUIDELINES
Please note that in order to be considered an applicant for any position at SambaNova Systems, you must submit an application form for each position for which you believe you are qualified.
EEO POLICY
SambaNova Systems is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.
BENEFITS SUMMARY FOR US-BASED, FULL-TIME EMPLOYMENT POSITIONS
SambaNova offers a competitive total rewards package, including the base salary, plus equity and benefits. We cover 95% premium coverage for employee medical insurance, and 77% premium coverage for dependents and offer a Health Savings Account (HSA) with employer contribution. We also offer Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans in addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care. Our library of well-being benefits available to you and your dependents includes a full subscription to Headspace, Gympass+ membership with access to physical gyms, One Medical membership, counseling services with an Employee Assistance Program, and much more.
See all 901+ Reliability Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Reliability Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Reliability Engineer
Emphasize systems engineering expertise
Highlight experience with complex distributed systems, monitoring tools, and failure analysis. USCIS values technical depth that demonstrates specialized knowledge beyond general IT support roles.
Document automation and tooling skills
Detail your work with infrastructure as code, CI/CD pipelines, and custom monitoring solutions. These technical specializations strengthen the specialty occupation case for visa petitions.
Target companies with proven SRE practices
Look for employers with established site reliability engineering teams and mature DevOps cultures. These companies understand the role's technical requirements and sponsor more confidently.
Showcase incident response leadership
Demonstrate experience leading post-mortems, designing fault-tolerant systems, and reducing mean time to recovery. This operational expertise differentiates reliability engineers from general software developers.
Highlight cross-functional collaboration
Document your work bridging development and operations teams, establishing SLAs, and implementing observability practices. This systems thinking approach supports the specialized role argument.
Consider related engineering titles
Site Reliability Engineer, DevOps Engineer, and Platform Engineer roles often have similar responsibilities and sponsor H-1B visas. Don't limit your search to exact title matches.
Reliability Engineer jobs are hiring across the US. Find yours.
Find Reliability Engineer JobsFrequently Asked Questions
Does a reliability engineer role qualify for H-1B sponsorship?
Yes, reliability engineer positions typically qualify as specialty occupations because they require specialized engineering knowledge in systems design, automation, and infrastructure management. The role demands technical expertise typically gained through an engineering or computer science degree, meeting H-1B requirements.
What degree do I need for reliability engineer H-1B sponsorship?
A bachelor's degree in computer science, software engineering, electrical engineering, or related technical field is typically required. Some employers accept equivalent combinations of education and experience, but a relevant engineering degree provides the strongest foundation for visa approval.
How do reliability engineers compare to software engineers for visa sponsorship?
Both roles commonly receive H-1B sponsorship, but reliability engineers may face additional scrutiny to distinguish their specialized systems focus from general software development. Emphasizing infrastructure expertise, automation skills, and operational responsibilities helps establish the role's technical depth and specialty occupation status.
Do startups sponsor reliability engineers for work visas?
Yes, but less frequently than established tech companies. Startups may not have dedicated SRE teams or the resources for visa sponsorship. Target growth-stage companies that have scaled beyond initial product development and need specialized reliability expertise to maintain their infrastructure.
How to find Reliability Engineer jobs with visa sponsorship?
To find Reliability Engineer jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international candidates with sponsoring employers. Focus on manufacturing companies, tech firms, aerospace, and energy sectors that frequently hire Reliability Engineers on H-1B, O-1, or EB-3 visas. Filter searches specifically for positions requiring reliability analysis, maintenance optimization, and failure prevention expertise.
Can I transfer from a software developer role to reliability engineer on the same H-1B?
You'll likely need to file an H-1B amendment if the job duties change significantly, even within the same company. While both are engineering roles, reliability engineering's focus on operations and infrastructure may require documenting the role's continued specialty occupation status through the amendment process.
What is the prevailing wage requirement for sponsored Reliability Engineer jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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