Senior Cloud Infrastructure Engineer Jobs in USA with Visa Sponsorship
Senior Cloud Infrastructure Engineers are among the most consistently sponsored roles in tech. Employers routinely file H-1B visa and O-1 petitions for this specialty occupation, and the work aligns squarely with USCIS degree requirements in computer science, information systems, or a closely related field. For detailed occupation requirements, see the O*NET profile.
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Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
We are seeking a Senior Cloud Infrastructure Engineer to architect and manage the large-scale compute and data infrastructure powering our autonomous driving stack. While researchers develop perception, planning, and world models, your mission is to build the high-performance systems and pipelines that make their work possible. You will be the backbone of our AI platform, ensuring that multi-GPU clusters, distributed training frameworks, and automated workflows are scalable, resilient, and cost-effective.
This role is onsite 5 days a week at our Mountain View, CA office!
- Cloud-Native Orchestration & Kubernetes
- Advanced K8s Management: Architect and maintain mission-critical Kubernetes clusters optimized for heavy GPU/TPU workloads.
- GPU Scheduling: Implement and optimize Kubernetes-native GPU scheduling (NVIDIA GPU Operator) to ensure maximum hardware utilization.
- Infrastructure as Code: Drive the "Everything as Code" philosophy using Terraform, Helm, and cloud-native tools.
- Self-Healing Infrastructure: Deploy Autonomous AI Agents (LangGraph, CrewAI) to monitor cluster health and enable automated triage of hardware failures and NCCL timeouts.
- Data Engineering & CI/CD Pipelines
- Autonomy Data Pipelines: Build large-scale pipelines using Apache Airflow, Kafka, and Spark to process raw sensor data into training-ready formats.
- GitOps: Implement robust GitOps workflows using ArgoCD, Gitlab CI/CD to automate the deployment of both infrastructure and model artifacts.
- Observability: Maintain deep visibility into infrastructure health and model serving performance using Prometheus, Grafana, and OpenTelemetry.
- Agentic DevOps & CI/CD: Develop agent-driven workflows to optimize the developer experience, such as automated PR reviewers for Terraform and AI agents that proactively suggest Kubernetes resource-limit adjustments based on model training telemetry.
- Model Management & Lifecycle (MLOps)
- Experiment & Model Tracking: Design and maintain MLFlow and feature store integrations to provide a robust system of record for every model iteration.
- Workflow Automation: Build complex, automated model lifecycles using Airflow and Kubernetes to streamline the transition from training to simulation.
- High-Performance Serving: Support the deployment of models into simulation and production environments using Triton Inference Server, Ray Serve, and ONNX Runtime.
- Distributed Training & ML Systems Support
- Training Systems Support: Enable researchers to scale models (VLA, World Models) across multi-node setups using PyTorch Distributed (TorchElastic), Ray Train, and Horovod.
- Networking Optimization: Optimize low-level communication (e.g., NCCL tuning, InfiniBand, or RoCE v2) to minimize latency for 3D Gaussian Splatting (3DGS) and large-scale training.
- Hardware-Aware Orchestration: Partner with researchers to fine-tune performance across multi-node GPU clusters for FSDP and DeepSpeed workloads.
What we're looking for
- Experience: 5+ years in Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments.
- Kubernetes Mastery: Deep expertise in K8s, Helm, and container orchestration.
- Orchestration & Tooling: Strong background in Apache Airflow, Argo Workflows, MLFlow, and Terraform.
- Distributed Systems: Practical experience supporting frameworks like Ray and PyTorch Distributed.
- Core Skills: Proficiency in Python, Bash scripting, and a solid understanding of IAM/RBAC.
Bonus Qualifications
- Distributed Training Expertise: Deep understanding of FSDP, and DeepSpeed.
- AI Agent Orchestration: Experience building Agentic Workflows (LangGraph, AutoGen) for infrastructure automation or data curation.
- Advanced Protocols: Familiarity with Model Context Protocol (MCP) to connect AI agents with infrastructure tools.
Salary Range - $180,000 - $240,000
More about Gatik
Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.
Visit us at Gatik for more company information and Careers at Gatik for more open roles.
Notable News
- Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
- Forbes: Hundreds' Of Gatik Robot Delivery Trucks Headed For U.S. Roads
- Forbes: Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
- Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
- Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
- Business Wire: Gatik Paves the Way for Safe Driverless Operations ('Freight-Only') at Scale with Industry-First Third-Party Safety Assessment Framework
- Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
- Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
- Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
- Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
- Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny
Taking care of our team
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment's sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
Who we are
Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world's first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.
The company's proprietary Level 4 autonomous technology, Gatik Carrier™, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier™ serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.
About the role
We are seeking a Senior Cloud Infrastructure Engineer to architect and manage the large-scale compute and data infrastructure powering our autonomous driving stack. While researchers develop perception, planning, and world models, your mission is to build the high-performance systems and pipelines that make their work possible. You will be the backbone of our AI platform, ensuring that multi-GPU clusters, distributed training frameworks, and automated workflows are scalable, resilient, and cost-effective.
This role is onsite 5 days a week at our Mountain View, CA office!
- Cloud-Native Orchestration & Kubernetes
- Advanced K8s Management: Architect and maintain mission-critical Kubernetes clusters optimized for heavy GPU/TPU workloads.
- GPU Scheduling: Implement and optimize Kubernetes-native GPU scheduling (NVIDIA GPU Operator) to ensure maximum hardware utilization.
- Infrastructure as Code: Drive the "Everything as Code" philosophy using Terraform, Helm, and cloud-native tools.
- Self-Healing Infrastructure: Deploy Autonomous AI Agents (LangGraph, CrewAI) to monitor cluster health and enable automated triage of hardware failures and NCCL timeouts.
- Data Engineering & CI/CD Pipelines
- Autonomy Data Pipelines: Build large-scale pipelines using Apache Airflow, Kafka, and Spark to process raw sensor data into training-ready formats.
- GitOps: Implement robust GitOps workflows using ArgoCD, Gitlab CI/CD to automate the deployment of both infrastructure and model artifacts.
- Observability: Maintain deep visibility into infrastructure health and model serving performance using Prometheus, Grafana, and OpenTelemetry.
- Agentic DevOps & CI/CD: Develop agent-driven workflows to optimize the developer experience, such as automated PR reviewers for Terraform and AI agents that proactively suggest Kubernetes resource-limit adjustments based on model training telemetry.
- Model Management & Lifecycle (MLOps)
- Experiment & Model Tracking: Design and maintain MLFlow and feature store integrations to provide a robust system of record for every model iteration.
- Workflow Automation: Build complex, automated model lifecycles using Airflow and Kubernetes to streamline the transition from training to simulation.
- High-Performance Serving: Support the deployment of models into simulation and production environments using Triton Inference Server, Ray Serve, and ONNX Runtime.
- Distributed Training & ML Systems Support
- Training Systems Support: Enable researchers to scale models (VLA, World Models) across multi-node setups using PyTorch Distributed (TorchElastic), Ray Train, and Horovod.
- Networking Optimization: Optimize low-level communication (e.g., NCCL tuning, InfiniBand, or RoCE v2) to minimize latency for 3D Gaussian Splatting (3DGS) and large-scale training.
- Hardware-Aware Orchestration: Partner with researchers to fine-tune performance across multi-node GPU clusters for FSDP and DeepSpeed workloads.
What we're looking for
- Experience: 5+ years in Cloud Infrastructure, DevOps, or MLOps supporting high-scale compute environments.
- Kubernetes Mastery: Deep expertise in K8s, Helm, and container orchestration.
- Orchestration & Tooling: Strong background in Apache Airflow, Argo Workflows, MLFlow, and Terraform.
- Distributed Systems: Practical experience supporting frameworks like Ray and PyTorch Distributed.
- Core Skills: Proficiency in Python, Bash scripting, and a solid understanding of IAM/RBAC.
Bonus Qualifications
- Distributed Training Expertise: Deep understanding of FSDP, and DeepSpeed.
- AI Agent Orchestration: Experience building Agentic Workflows (LangGraph, AutoGen) for infrastructure automation or data curation.
- Advanced Protocols: Familiarity with Model Context Protocol (MCP) to connect AI agents with infrastructure tools.
Salary Range - $180,000 - $240,000
More about Gatik
Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth, Arkansas, and Toronto. As the first and only company to achieve fully driverless middle-mile commercial deliveries, Gatik holds a unique and defensible position in the AV industry, with a clear trajectory toward sustainable growth and profitability.
We have delivered complete, proprietary AV technology - an integration of software and hardware - to enable earlier successes for our clients in constrained Level 4 autonomy. By choosing the middle mile – with defined point-to-point delivery, we have simplified some of the more complex AV challenges, enabling us to achieve full autonomy ahead of competitors. Given extensive knowledge of Gatik's well-defined, fixed route ODDs and hybrid architecture, we are able to hyper-optimize our models with exponentially less data, establish gate-keeping mechanisms to maintain explainability, and ensure continued safety of the system for unmanned operations.
Visit us at Gatik for more company information and Careers at Gatik for more open roles.
Notable News
- Bloomberg: Autonomous Trucking Firm Gatik Inks Contracts Worth $600 Million
- Forbes: Hundreds' Of Gatik Robot Delivery Trucks Headed For U.S. Roads
- Forbes: Gatik And Loblaw Announce Largest Commercial Deployment Of AV Trucks
- Forbes: Forget robotaxis. Upstart Gatik sees middle-mile deliveries as the path to profitable AVs
- Tech Brew: Gatik AI exec unpacks the regulations that could shape the AV industry
- Business Wire: Gatik Paves the Way for Safe Driverless Operations ('Freight-Only') at Scale with Industry-First Third-Party Safety Assessment Framework
- Auto Futures: Autonomous Trucking Group Gatik Secures Investment From NIPPON EXPRESS HOLDINGS
- Automotive News: Gatik foresees hundreds of self-driving trucks on road soon, and that's just the beginning
- Forbes: Isuzu And Gatik Go All In To Scale Up Driverless Freight Services
- Bloomberg: Autonomous Vehicle Startup Takes Off by Picking Off Easier Routes
- Reuters: Driverless vehicles on limited routes bump along despite US robotaxi scrutiny
Taking care of our team
At Gatik, we connect people of extraordinary talent and experience to an opportunity to create a more resilient supply chain and contribute to our environment's sustainability. We are diverse in our backgrounds and perspectives yet united by a bold vision and shared commitment to our values. Our culture emphasizes the importance of collaboration, respect and agility.
We at Gatik strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that together we can do great things. We are committed to an inclusive and diverse team. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.
See all 206+ Senior Cloud Infrastructure Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Senior Cloud Infrastructure Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Senior Cloud Infrastructure Engineer
Confirm the role qualifies as a specialty occupation
Cloud infrastructure engineering requires at least a bachelor's degree in computer science, computer engineering, or a related field. Roles framed as general IT support or systems administration may not meet USCIS specialty occupation standards, even if the work overlaps.
Target employers with an H-1B filing history
Large cloud-heavy employers, including hyperscalers, financial institutions, and enterprise SaaS companies, file H-1B petitions regularly. Prioritizing employers with documented sponsorship history significantly reduces the risk of an offer falling apart at the visa stage.
Get your job description to reflect the degree requirement
USCIS scrutinizes whether the position genuinely requires a specific bachelor's degree. Make sure your offer letter and job description explicitly state that a degree in computer science, information systems, or equivalent is required, not merely preferred.
Understand how cloud certifications factor into your application
AWS, Azure, and GCP certifications strengthen your profile but do not substitute for a qualifying degree. If your degree is in an unrelated field, a combination of education and years of directly relevant experience may still support a successful H-1B petition.
Account for premium processing in your start date planning
Standard H-1B adjudication can take several months. Premium processing guarantees a response within 15 business days and is worth requesting if your start date is firm or your current status has a hard expiration.
Prepare documentation of your technical scope upfront
For cloud infrastructure roles, USCIS may issue RFEs questioning whether the position requires a degree versus general IT experience. Having architecture diagrams, project scopes, and evidence of specialized responsibilities ready strengthens your employer's response significantly.
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Find Senior Cloud Infrastructure Engineer JobsFrequently Asked Questions
Do Senior Cloud Infrastructure Engineer roles qualify for H-1B sponsorship?
Yes. Senior Cloud Infrastructure Engineer is consistently approved as a specialty occupation under the H-1B because the role requires at minimum a bachelor's degree in computer science, information systems, or a closely related field. USCIS has approved this job title across thousands of petitions. Roles that bundle infrastructure work with general helpdesk or non-specialized IT duties can attract RFEs, so job description specificity matters.
What degree do I need for an employer to sponsor me in this role?
Most H-1B petitions for this role cite a bachelor's degree in computer science, computer engineering, information technology, or information systems as the qualifying credential. Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees. If your degree is in a different field, relevant coursework combined with documented work experience may still support a petition, though the case requires stronger supporting evidence.
Are there visa options other than H-1B for cloud infrastructure engineers?
Yes. Australian citizens can pursue the E-3 visa, which has no lottery and allows two-year renewable periods. Canadians and Mexicans may qualify under TN status if the role fits a covered USMCA occupation. Engineers with a strong publication record, open-source contributions, or industry recognition may also be competitive for the O-1A, which has no cap or lottery and can be filed at any time of year.
How hard is it to find employers willing to sponsor this role?
Sponsorship willingness is higher for Senior Cloud Infrastructure Engineers than for most other roles because demand consistently outpaces the available domestic talent pool. Hyperscalers, enterprise software companies, financial services firms, and managed service providers are the most active sponsors. Migrate Mate filters job listings specifically by visa sponsorship availability, so you can focus only on employers who have already committed to sponsoring this role.
Can I use work experience instead of a degree to qualify for H-1B sponsorship?
In limited cases, yes. USCIS allows three years of specialized work experience to substitute for one year of education, meaning a two-year degree plus six years of directly relevant cloud infrastructure experience could potentially satisfy the requirement. However, experience-substitution cases face higher scrutiny, and the experience must be specific to the specialty, not general IT work. An immigration attorney should evaluate your profile before your employer commits to filing.
What is the prevailing wage requirement for sponsored Senior Cloud Infrastructure 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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