Distributed Systems Engineer Jobs for OPT Students
Distributed Systems Engineer jobs are among the most OPT-friendly roles in tech. Companies like Google, Meta, and Stripe regularly sponsor F-1 OPT students for these positions. Your 12-month OPT window, plus up to 24 months of STEM extension, gives you a strong runway to secure H-1B sponsorship.
See All Distributed Systems Engineer JobsOverview
Showing 5 of 11+ Distributed Systems Engineer jobs
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
Have you applied for this role?
See all 11+ Distributed Systems Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Distributed Systems Engineer roles.
Get Access To All JobsOur Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Vision
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
What This Team Does
Build and operate the core shared services that power our research, training, and production environments. These systems form the foundational platform that multiple teams depend on for model development, deployment, and evaluation, unifying data, compute, and workflow management across the stack while enabling rapid experimentation and reliable production systems.
- Build and operate shared services that multiple teams rely on across research and production workflows.
- Define and uphold reliability targets through SLIs, SLOs, and healthy on-call practices.
- Maintain strong operational readiness with runbooks, incident playbooks, and capacity planning.
- Ensure correctness and performance under load, addressing consistency, tail latency, and failure modes.
- Develop APIs, SDKs, and internal platforms that enable high-velocity experimentation and iteration.
- Reduce operational burden through better tooling, standardization, and platform patterns that scale across teams.
What You'll Work With
- Container Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.
- Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.
- Service Development Stack: gRPC, Protobuf, Go, Rust, C++.
- Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.
About You
- Strong software engineering background with experience shipping production-grade systems.
- Experience designing APIs, services, or developer platforms that handle large-scale data or compute.
- Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.
- Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.
- Excited about zero to one challenges, building new systems rather than maintaining legacy ones.
- Collaborative, clear communicator, and comfortable working across research and infra boundaries.
- Motivated by creating the software backbone for the world’s most capable open-weight AI systems.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
Our Mission
Reflection’s mission is to build open superintelligence and make it accessible to all. We’re developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond.
Vision
Build and operate a company-wide foundations platform that accelerates every team by providing reliable, scalable developer infrastructure, SRE capabilities, and high-throughput data ingestion tooling enabling Reflection to move faster as we scale.
What This Team Does
Build and operate the core shared services that power our research, training, and production environments. These systems form the foundational platform that multiple teams depend on for model development, deployment, and evaluation, unifying data, compute, and workflow management across the stack while enabling rapid experimentation and reliable production systems.
- Build and operate shared services that multiple teams rely on across research and production workflows.
- Define and uphold reliability targets through SLIs, SLOs, and healthy on-call practices.
- Maintain strong operational readiness with runbooks, incident playbooks, and capacity planning.
- Ensure correctness and performance under load, addressing consistency, tail latency, and failure modes.
- Develop APIs, SDKs, and internal platforms that enable high-velocity experimentation and iteration.
- Reduce operational burden through better tooling, standardization, and platform patterns that scale across teams.
What You'll Work With
- Container Abstractions: Containers-as-a-Service, Kubernetes abstraction layers, container orchestration, reproducible environments, multi-tenant isolation.
- Distributed Systems Architecture: Sharding, replication, coordination services, high-concurrency systems, concurrency control.
- Service Development Stack: gRPC, Protobuf, Go, Rust, C++.
- Reliability & Performance: Idempotency, retries, backpressure, SLI/SLO design, tail latency optimization, service reliability engineering.
About You
- Strong software engineering background with experience shipping production-grade systems.
- Experience designing APIs, services, or developer platforms that handle large-scale data or compute.
- Comfortable navigating complex codebases, debugging hard problems, and optimizing for reliability and speed.
- Thrive in a high-agency, fast-paced startup environment; bias toward action and impact.
- Excited about zero to one challenges, building new systems rather than maintaining legacy ones.
- Collaborative, clear communicator, and comfortable working across research and infra boundaries.
- Motivated by creating the software backbone for the world’s most capable open-weight AI systems.
What We Offer
We believe that to build superintelligence that is truly open, you need to start at the foundation. Joining Reflection means building from the ground up as part of a small talent-dense team. You will help define our future as a company, and help define the frontier of open foundational models. We want you to do the most impactful work of your career with the confidence that you and the people you care about most are supported.
- Top-tier compensation: Salary and equity structured to recognize and retain the best talent globally.
- Health & wellness: Comprehensive medical, dental, vision, life, and disability insurance.
- Life & family: Fully paid parental leave for all new parents, including adoptive and surrogate journeys. Financial support for family planning.
- Benefits & balance: paid time off when you need it, relocation support, and more perks that optimize your time.
- Opportunities to connect with teammates: lunch and dinner are provided daily. We have regular off-sites and team celebrations.
How to Get Visa Sponsorship as a Distributed Systems Engineer
Target companies with a strong H-1B filing history
Distributed systems roles are expensive to fill, so companies that hire for them tend to invest in visa sponsorship long-term. Look for employers with consistent H-1B filing records, not just those who mention sponsorship in job postings.
Emphasize your systems design experience upfront
Hiring managers for distributed systems roles screen hard on fundamentals like consensus protocols, fault tolerance, and data replication. Leading with concrete project experience, not just coursework, signals you can contribute from day one without a long ramp-up period.
Apply before your OPT start date if possible
Many engineering teams have multi-week interview pipelines. Starting your job search two to three months before your OPT authorization begins gives you time to complete technical screens and negotiate offers without feeling rushed by your authorization timeline.
Frame your STEM OPT extension as a sponsorship runway
If your degree is in computer science, electrical engineering, or a related STEM field, you're eligible for a 24-month extension. Mentioning this directly shows employers they have up to three years to sponsor your H-1B without timing pressure.
Prioritize roles where you are the specialty, not overhead
Distributed systems engineers own core infrastructure, which makes them harder to replace than generalist engineers. Roles tied to revenue-critical systems, like payment processing or real-time data pipelines, tend to generate stronger sponsorship commitment from employers.
Use Migrate Mate to filter for OPT-sponsoring employers
Not every job posting makes sponsorship eligibility clear. Migrate Mate surfaces distributed systems roles from employers verified to sponsor F-1 OPT students, saving you time screening positions that will screen you out for your immigration status.
Distributed Systems Engineer jobs are hiring across the US. Find yours.
Find Distributed Systems Engineer JobsSee all 11+ Distributed Systems Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Distributed Systems Engineer roles.
Get Access To All JobsFrequently Asked Questions
Do Distributed Systems Engineer roles qualify for the STEM OPT extension?
Yes, in nearly all cases. Distributed Systems Engineer positions require a background in computer science, computer engineering, or a closely related STEM field, all of which appear on the STEM Designated Degree Program List. That makes you eligible to apply for the 24-month STEM OPT extension after your initial 12-month OPT period, giving you up to 36 months of authorized work before needing an H-1B or other visa.
How many distributed systems companies actually sponsor F-1 OPT students?
Sponsorship rates are higher in this role than in most engineering specialties. Distributed systems work is core infrastructure at companies like Google, Amazon, Cloudflare, and Databricks, and these employers file H-1B petitions at scale. Smaller startups building their own infrastructure layers also sponsor regularly because the talent pool for this specialty is narrow globally. Migrate Mate filters specifically for employers who sponsor OPT students, so you can focus your applications where they will actually move forward.
Can I work as a distributed systems contractor on OPT?
You can, but with restrictions. OPT requires that your work directly relate to your degree field and that you work at least 20 hours per week. Self-employment is technically permitted if you can demonstrate a legitimate business structure. However, contract placements through staffing agencies are common in engineering and are generally compliant, as long as the role itself qualifies as a specialty occupation in your field of study.
What happens to my OPT authorization if my employer does a layoff?
You have a 60-day grace period after losing your job on OPT. During that window, you can find a new position, apply for a change of status, or prepare to leave the United States. For STEM OPT specifically, you must report job changes to your Designated School Official within 10 days using your SEVIS portal. If you are close to exhausting your STEM OPT period when a layoff happens, acting quickly on a new application is critical.
Is a master's degree necessary to get sponsored as a Distributed Systems Engineer on OPT?
No, but it strengthens your position in two ways. First, a master's degree from a U.S. university makes you eligible for the advanced degree H-1B cap, which historically has higher selection odds in the lottery. Second, graduate-level distributed systems coursework, such as work in consensus algorithms, fault-tolerant systems, or large-scale storage, gives you projects that translate directly into strong technical interviews. A bachelor's degree is sufficient to qualify, but a master's meaningfully improves your long-term sponsorship odds.
See which Distributed Systems Engineer employers are hiring and sponsoring visas right now.
Search Distributed Systems Engineer Jobs