Infrastructure Engineer Jobs for OPT Students
Infrastructure Engineer roles are consistently among the most OPT-friendly positions in tech, with employers regularly filing H-1B petitions for strong candidates. Most roles require a degree in computer science, information systems, or electrical engineering, and STEM OPT extensions apply, giving you up to three years of work authorization.
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Get Access To All JobsAbout Meshy
Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.
Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.
Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.
Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.
About the Role
This role sits at the intersection of platform engineering, site reliability, and applied ML systems. The function owns the reliability, scalability, and operability of Meshy's AI model serving stack, along with core engineering infrastructure. The team operates a conventional production infrastructure (CI/CD, build systems, deployment, runtime environments) and develops a model-serving platform that connects the models developed by our Research Team to product-facing backend systems. The position is systems-heavy, production-oriented, and focused on turning experimental model artifacts into robust, observable, and cost-efficient services.
Job Responsibilities
- Responsible for the design, development, and optimization of core capabilities for the AI inference platform, including key modules such as inference services, task scheduling, service orchestration, elastic scaling, and release governance.
- Participate in the development of CPU/GPU resource management systems to optimize stability, resource utilization, and cost efficiency in scenarios where online inference and training tasks are run on the same cluster.
- Drive the unified management and scheduling of GPU resources, and explore the practical implementation of capabilities such as MIG, MPS, time-sharing, and virtualization in real-world business operations.
- Continuously optimize the throughput, latency, and availability of the inference pipeline, refining engineering quality in complex inference pipelines, multi-model collaboration, and high-concurrency scenarios.
- Focus on R&D efficiency, resource and cost management, online stability, and disaster recovery architecture design to drive the company’s continuous evolution in performance, reliability, and maintainability.
- Explore AI-native infrastructure and automated operations to make infrastructure smarter and more user-friendly, supporting the company’s rapid expansion during its startup phase.
Qualifications
- Bachelor’s degree or higher; majors in Computer Science, Software Engineering, Artificial Intelligence, Telecommunications, or related fields are preferred.
- 1 to 3 years of experience in backend development, infrastructure, cloud-native platforms, machine learning platforms, or AI platforms.
- Proficiency in at least one of Go or Python, with solid software engineering skills and a strong commitment to code quality.
- Understanding of fundamental principles in Linux, operating systems, computer networks, and distributed systems; ability to independently identify and resolve complex engineering issues.
- Practical development experience with Kubernetes, Docker, microservices, or distributed systems, with a basic understanding of production system stability.
- Real-world project experience in areas such as model inference, task orchestration, resource scheduling, and service stability—beyond mere conceptual understanding.
- Self-motivated, curious, and a fast learner; willing to take on greater ownership and broader responsibilities in a startup environment, while continuously learning and quickly adopting new technologies.
Nice to have
- Experience with GPU inference platforms, Kubernetes schedulers, Device Plugins, or related platform development.
- Familiarity with frameworks such as Ray and Ray Serve, or experience in developing and optimizing model serving, distributed inference, and task orchestration frameworks.
- Familiarity with solutions related to MIG, MPS, vGPU, partitioned GPUs, or GPU resource reuse, and experience balancing performance and stability.
- Engineering experience in observability, SRE, capacity planning, cost governance, canary deployments, and automated rollbacks.
- Open-source projects, technical blogs, personal projects (side projects), or other achievements that demonstrate learning agility and growth potential.
- Ongoing interest and hands-on experience in emerging areas such as AI infrastructure (AI Infra), inference systems, and AI agent toolchains.
Our Values
- Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
- Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
- Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
- Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.
Why Join Meshy?
- Competitive salary, equity, and benefits package.
- Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.
- Flexible work environment, with options for remote and on-site work.
- Opportunities for fast professional growth and development.
- An inclusive culture that values creativity, innovation, and collaboration.
- Unlimited, flexible time off.
Benefits
- Stock options available for core team members.
- 401(k) plan for employees.
- Comprehensive health, dental, and vision insurance.
- The latest and best office equipment.
About Meshy
Headquartered in Silicon Valley, Meshy is the leading 3D generative AI company on a mission to Unleash 3D Creativity by transforming the content creation pipeline. Meshy makes it effortless for both professional artists and hobbyists to create unique 3D assets—turning text and images into stunning 3D models in just minutes. What once took weeks and cost $1,000 now takes just 2 minutes and $1.
Our world-class team of top experts in computer graphics, AI, and art includes alumni from MIT, Stanford, and Berkeley, as well as veterans from Nvidia and Microsoft. Our talent spans the globe, with team members distributed across North America, Asia, and Oceania, fostering a diverse and innovative multi-regional culture focused on solving global 3D challenges. Meshy is trusted by top developers, backed by premiere venture capital firms like Sequoia and GGV, and has successfully raised $52 Million in funding.
Meshy is the market leader, recognized as the No.1 in popularity among 3D AI tools (according to 2024 A16Z Games) and No.1 in website traffic (according to SimilarWeb, with 3 Million monthly visits). The platform boasts over 5 Million users and has generated 40 Million models.
Founder and CEO Yuanming (Ethan) Hu earned his Ph.D. in graphics and AI from MIT, where he developed the acclaimed Taichi GPU programming language (27K stars on GitHub, used by 300+ institutes). His work is highly influential, including an honorable mention for the SIGGRAPH 2022 Outstanding Doctoral Dissertation Award and over 2,700 research citations.
About the Role
This role sits at the intersection of platform engineering, site reliability, and applied ML systems. The function owns the reliability, scalability, and operability of Meshy's AI model serving stack, along with core engineering infrastructure. The team operates a conventional production infrastructure (CI/CD, build systems, deployment, runtime environments) and develops a model-serving platform that connects the models developed by our Research Team to product-facing backend systems. The position is systems-heavy, production-oriented, and focused on turning experimental model artifacts into robust, observable, and cost-efficient services.
Job Responsibilities
- Responsible for the design, development, and optimization of core capabilities for the AI inference platform, including key modules such as inference services, task scheduling, service orchestration, elastic scaling, and release governance.
- Participate in the development of CPU/GPU resource management systems to optimize stability, resource utilization, and cost efficiency in scenarios where online inference and training tasks are run on the same cluster.
- Drive the unified management and scheduling of GPU resources, and explore the practical implementation of capabilities such as MIG, MPS, time-sharing, and virtualization in real-world business operations.
- Continuously optimize the throughput, latency, and availability of the inference pipeline, refining engineering quality in complex inference pipelines, multi-model collaboration, and high-concurrency scenarios.
- Focus on R&D efficiency, resource and cost management, online stability, and disaster recovery architecture design to drive the company’s continuous evolution in performance, reliability, and maintainability.
- Explore AI-native infrastructure and automated operations to make infrastructure smarter and more user-friendly, supporting the company’s rapid expansion during its startup phase.
Qualifications
- Bachelor’s degree or higher; majors in Computer Science, Software Engineering, Artificial Intelligence, Telecommunications, or related fields are preferred.
- 1 to 3 years of experience in backend development, infrastructure, cloud-native platforms, machine learning platforms, or AI platforms.
- Proficiency in at least one of Go or Python, with solid software engineering skills and a strong commitment to code quality.
- Understanding of fundamental principles in Linux, operating systems, computer networks, and distributed systems; ability to independently identify and resolve complex engineering issues.
- Practical development experience with Kubernetes, Docker, microservices, or distributed systems, with a basic understanding of production system stability.
- Real-world project experience in areas such as model inference, task orchestration, resource scheduling, and service stability—beyond mere conceptual understanding.
- Self-motivated, curious, and a fast learner; willing to take on greater ownership and broader responsibilities in a startup environment, while continuously learning and quickly adopting new technologies.
Nice to have
- Experience with GPU inference platforms, Kubernetes schedulers, Device Plugins, or related platform development.
- Familiarity with frameworks such as Ray and Ray Serve, or experience in developing and optimizing model serving, distributed inference, and task orchestration frameworks.
- Familiarity with solutions related to MIG, MPS, vGPU, partitioned GPUs, or GPU resource reuse, and experience balancing performance and stability.
- Engineering experience in observability, SRE, capacity planning, cost governance, canary deployments, and automated rollbacks.
- Open-source projects, technical blogs, personal projects (side projects), or other achievements that demonstrate learning agility and growth potential.
- Ongoing interest and hands-on experience in emerging areas such as AI infrastructure (AI Infra), inference systems, and AI agent toolchains.
Our Values
- Brain: We value intelligence and the pursuit of knowledge. Our team is composed of some of the brightest minds in the industry.
- Heart: We care deeply about our work, our users, and each other. Empathy and passion drive us forward.
- Gut: We trust our instincts and are not afraid to take bold risks. Innovation requires courage.
- Taste: We have a keen eye for quality and aesthetics. Our products are not just functional but also beautiful.
Why Join Meshy?
- Competitive salary, equity, and benefits package.
- Opportunity to work with a talented and passionate team at the forefront of AI and 3D technology.
- Flexible work environment, with options for remote and on-site work.
- Opportunities for fast professional growth and development.
- An inclusive culture that values creativity, innovation, and collaboration.
- Unlimited, flexible time off.
Benefits
- Stock options available for core team members.
- 401(k) plan for employees.
- Comprehensive health, dental, and vision insurance.
- The latest and best office equipment.
How to Get Visa Sponsorship as an Infrastructure Engineer
Lead with your STEM OPT timeline upfront
Infrastructure Engineer roles fall squarely under STEM-designated CIP codes, making you eligible for a 24-month STEM OPT extension. Mentioning your full three-year authorization window early removes the biggest hesitation most hiring managers have about OPT candidates.
Emphasize cloud certifications on your resume
AWS, Azure, and GCP certifications signal job-ready skills that reduce employer onboarding costs. Certified candidates consistently move faster through infrastructure hiring pipelines, which matters when your OPT start date creates a narrow window for completing the process.
Apply to mid-size tech companies, not just large enterprises
Companies with 200 to 2,000 employees often have dedicated infrastructure teams but less competition than FAANG. They also tend to make faster hiring decisions, which reduces the risk of an offer arriving too late relative to your OPT authorization start date.
Frame your OPT period as immediate availability
Many infrastructure teams struggle to fill roles quickly. Positioning your OPT status as meaning you can start now, without waiting for a visa transfer or petition cycle, reframes the conversation from a compliance concern into a staffing advantage for the employer.
Build a portfolio of infrastructure projects with measurable outcomes
Concrete results, such as reduced deployment times, improved uptime percentages, or cost savings from cloud optimization, give hiring managers something defensible when advocating internally to HR about sponsoring an OPT candidate for a permanent role.
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Get Access To All JobsFrequently Asked Questions
Do Infrastructure Engineer roles qualify for the STEM OPT extension?
Yes. Infrastructure Engineering roles typically fall under STEM-designated degree programs including computer science, information technology, computer engineering, and electrical engineering. If your degree qualifies, you can apply for a 24-month STEM OPT extension after your initial 12-month OPT period, giving you up to three years of total work authorization without employer sponsorship of an H-1B.
How common is H-1B sponsorship for Infrastructure Engineer positions?
Infrastructure Engineer is one of the more consistently sponsored roles in tech. Employers regularly file H-1B petitions for these positions because demand for qualified candidates routinely outpaces domestic supply, particularly in cloud infrastructure, DevOps, and network engineering. Companies with existing infrastructure teams and a history of H-1B filings are your strongest targets. You can browse OPT-friendly infrastructure roles directly on Migrate Mate.
Can I work as an Infrastructure Engineer on OPT if my degree is in electrical engineering rather than computer science?
Yes, provided the role has a direct connection to your field of study. Infrastructure Engineering spans both software and hardware systems, and electrical engineering degrees are accepted for roles involving network architecture, data center operations, and embedded systems. Your DSO will need to confirm the position relates to your degree program when authorizing your OPT, so review the job description carefully before applying.
What should I do if an Infrastructure Engineer role requires a security clearance?
Most security clearances require U.S. citizenship or permanent residency, which OPT students do not hold. Roles requiring a clearance are effectively off-limits during OPT. Filter these out early by reading job descriptions carefully for language like "requires active clearance," "must be a U.S. citizen," or "clearance required." Focus instead on private-sector infrastructure roles, which represent the majority of open positions and have no clearance requirements.
Does the 90-day unemployment limit apply between infrastructure jobs on OPT?
Yes. F-1 students on OPT cannot accumulate more than 90 days of unemployment during the standard OPT period, and that limit increases to 150 days if you receive a STEM OPT extension. Infrastructure roles can sometimes have longer hiring cycles due to technical interviews and background checks, so starting your job search early and keeping your pipeline active is important for staying within the limit.
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