Systems Engineer Jobs for OPT Students
Systems Engineer jobs are among the most sponsorship-friendly roles for F-1 OPT students, with STEM OPT extension eligibility giving you up to three years of work authorization. Defense contractors, cloud infrastructure teams, and enterprise IT departments hire actively in this field, making it a strong fit for OPT timelines.
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Get Access To All JobsABOUT RABOT
Rabot builds vision AI for warehouse packing operations. Cameras watch the pack line, software figures out where things are slow or wrong, and operators get real-time feedback that actually changes how they work. Customers stick around because it measurably improves their output.
We're venture-backed with distribution partnerships with major industry players. The product works. Now we need engineers to push the real-time systems further.
THE ROLE
You'd work on the software that runs on and around our hardware. The real-time pipeline: cameras, on-device AI models, video processing, edge compute, and the systems that tie it all together. This is the layer between the physical world and our AI.
You'll work closely with our hardware engineer on the full perception and processing stack. Latency matters. Reliability matters. These systems run in warehouses, not data centers, and they need to work every time.
3+ years of experience required. We care less about where you worked and more about what you've built and how it performed.
In-person in Arlington, TX. Not remote.
- Build and optimize real-time software systems. Video pipelines, inference engines, edge processing, device communication.
- Write performant code for critical paths and scripting for tooling, orchestration, and model integration.
- Work with the hardware team on the full stack from camera to cloud. You'll understand the hardware constraints and write software that respects them.
- Profile and optimize. Latency budgets, memory constraints, CPU/GPU utilization on edge devices. You measure before you guess.
- Ship reliable software to devices running in warehouses. These aren't dev environments. They need to run for months without intervention.
- Improve deployment, testing, and monitoring for edge systems.
WHO YOU ARE
- You have 3+ years of experience writing software for systems that run in production. Not just scripts. Real systems with real performance requirements.
- You understand real-time constraints. You've worked on software where latency and throughput actually matter, not just on paper.
- You're comfortable close to the hardware. You don't need to design PCBs, but you understand device constraints, communication protocols, and what happens when software meets the physical world.
- You can debug across layers. When something is slow or broken, you can trace it from application code down to system-level issues.
- You write code that runs unsupervised. Edge systems can't crash and wait for someone to restart them.
- You figure things out. Niche hardware, undocumented APIs, weird edge cases in warehouse environments. You dig in.
NICE TO HAVE
- Experience with computer vision or perception systems. Camera calibration, image processing, video encoding/decoding, inference pipelines.
- Background in robotics or autonomous systems. You've built software that interacts with the physical world in real time.
- Experience with edge compute platforms and AI accelerators.
- You've worked with AI/ML model deployment on device. Model optimization, quantization, inference runtimes.
- Linux systems programming.
- Experience shipping hardware products. You know the difference between a demo and a deployment.
WHAT WE OFFER
- Base salary plus equity. A real stake, not a token grant.
- You'd build the real-time systems at the core of a product that's deployed and working in warehouses today.
- Direct access to founders and the hardware team. No layers between you and decisions.
- Hard problems. Real constraints. Software that has to work in the physical world.
- A small team where your work is visible and your opinions matter.
COMP
We want someone who bets on themselves. If you're optimizing purely for guaranteed base, this probably isn't the right fit. If you want equity in a company where your engineering directly determines product quality, this structure works.
HOW TO APPLY
Send us two things:
- A system you've built or worked on where performance mattered. What were the constraints, what tradeoffs did you make, and how did it perform?
- You have a camera feed, an AI model running on an edge device, and results need to reach a dashboard with minimal latency. Walk us through your architecture. Keep it under a page.
ABOUT RABOT
Rabot builds vision AI for warehouse packing operations. Cameras watch the pack line, software figures out where things are slow or wrong, and operators get real-time feedback that actually changes how they work. Customers stick around because it measurably improves their output.
We're venture-backed with distribution partnerships with major industry players. The product works. Now we need engineers to push the real-time systems further.
THE ROLE
You'd work on the software that runs on and around our hardware. The real-time pipeline: cameras, on-device AI models, video processing, edge compute, and the systems that tie it all together. This is the layer between the physical world and our AI.
You'll work closely with our hardware engineer on the full perception and processing stack. Latency matters. Reliability matters. These systems run in warehouses, not data centers, and they need to work every time.
3+ years of experience required. We care less about where you worked and more about what you've built and how it performed.
In-person in Arlington, TX. Not remote.
- Build and optimize real-time software systems. Video pipelines, inference engines, edge processing, device communication.
- Write performant code for critical paths and scripting for tooling, orchestration, and model integration.
- Work with the hardware team on the full stack from camera to cloud. You'll understand the hardware constraints and write software that respects them.
- Profile and optimize. Latency budgets, memory constraints, CPU/GPU utilization on edge devices. You measure before you guess.
- Ship reliable software to devices running in warehouses. These aren't dev environments. They need to run for months without intervention.
- Improve deployment, testing, and monitoring for edge systems.
WHO YOU ARE
- You have 3+ years of experience writing software for systems that run in production. Not just scripts. Real systems with real performance requirements.
- You understand real-time constraints. You've worked on software where latency and throughput actually matter, not just on paper.
- You're comfortable close to the hardware. You don't need to design PCBs, but you understand device constraints, communication protocols, and what happens when software meets the physical world.
- You can debug across layers. When something is slow or broken, you can trace it from application code down to system-level issues.
- You write code that runs unsupervised. Edge systems can't crash and wait for someone to restart them.
- You figure things out. Niche hardware, undocumented APIs, weird edge cases in warehouse environments. You dig in.
NICE TO HAVE
- Experience with computer vision or perception systems. Camera calibration, image processing, video encoding/decoding, inference pipelines.
- Background in robotics or autonomous systems. You've built software that interacts with the physical world in real time.
- Experience with edge compute platforms and AI accelerators.
- You've worked with AI/ML model deployment on device. Model optimization, quantization, inference runtimes.
- Linux systems programming.
- Experience shipping hardware products. You know the difference between a demo and a deployment.
WHAT WE OFFER
- Base salary plus equity. A real stake, not a token grant.
- You'd build the real-time systems at the core of a product that's deployed and working in warehouses today.
- Direct access to founders and the hardware team. No layers between you and decisions.
- Hard problems. Real constraints. Software that has to work in the physical world.
- A small team where your work is visible and your opinions matter.
COMP
We want someone who bets on themselves. If you're optimizing purely for guaranteed base, this probably isn't the right fit. If you want equity in a company where your engineering directly determines product quality, this structure works.
HOW TO APPLY
Send us two things:
- A system you've built or worked on where performance mattered. What were the constraints, what tradeoffs did you make, and how did it perform?
- You have a camera feed, an AI model running on an edge device, and results need to reach a dashboard with minimal latency. Walk us through your architecture. Keep it under a page.
How to Get Visa Sponsorship as a Systems Engineer
Lead with your STEM OPT eligibility upfront
Systems Engineer roles almost always qualify for the 24-month STEM OPT extension. Mention your STEM eligibility early in applications and conversations so employers understand you bring three full years of OPT work authorization, not just one.
Target employers with active E-Verify enrollment
STEM OPT extensions require your employer to be enrolled in E-Verify. Prioritize companies that already use it, which includes most large defense contractors, tech firms, and federal government contractors. This saves critical time during your extension process.
Align your degree field to the job description
Systems Engineer roles typically qualify under Electrical Engineering, Computer Engineering, or Computer Science degrees. Confirm your specific degree field directly supports the role before applying, since USCIS reviews the connection between your degree and job duties.
Prepare a clear explanation of your systems experience
Hiring managers unfamiliar with OPT often conflate sponsorship complexity with risk. Walk them through what OPT authorization actually means for your start date and work eligibility. A calm, factual explanation often resolves hesitation before it becomes a barrier.
Apply early relative to your OPT start date
Systems Engineer hiring cycles at large employers often run eight to twelve weeks from application to offer. Start your search at least three months before your OPT authorization begins so your start date aligns with your employer's onboarding timeline without gaps.
Flag security clearance considerations honestly
Many Systems Engineer roles, especially in defense and government contracting, require security clearances that OPT holders cannot currently obtain. Filter for roles that do not list clearance as a requirement, and address the topic directly if it comes up during interviews.
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Get Access To All JobsFrequently Asked Questions
Do Systems Engineer jobs qualify for the STEM OPT extension?
Most Systems Engineer roles qualify for the 24-month STEM OPT extension because they typically fall under CIP codes tied to Computer Engineering, Electrical Engineering, or Computer Science. Your degree field must match the STEM designated degree list, and your employer must be enrolled in E-Verify. Confirm both conditions before accepting an offer.
Can I work as a Systems Engineer on OPT without H-1B sponsorship?
Yes. OPT is independent of H-1B sponsorship. You can work as a Systems Engineer for up to 12 months on standard OPT, and up to 36 months total if your degree qualifies for the STEM extension. H-1B sponsorship becomes relevant only if you want to stay beyond your OPT authorization period.
Where can I find Systems Engineer jobs that are open to OPT students?
Migrate Mate lists Systems Engineer roles from employers that are actively open to hiring F-1 OPT students. Filtering by OPT eligibility saves significant time compared to applying broadly and discovering sponsorship restrictions late in the process. Browse current openings on Migrate Mate to find roles matched to your authorization status.
Do Systems Engineer roles at defense contractors hire OPT students?
Some do, but security clearance requirements create real limitations. Many Systems Engineer positions at defense contractors require a U.S. security clearance, which OPT holders are not eligible to obtain. Focus your search on commercial technology companies, cloud infrastructure teams, and enterprise IT organizations, where OPT authorization is a much smaller obstacle.
What happens to my Systems Engineer job if my OPT expires before H-1B approval?
If your H-1B petition is filed before your OPT expires and you receive a receipt notice, you enter a cap-gap period that extends your work authorization until October 1 of the fiscal year. This allows you to continue working as a Systems Engineer without interruption, provided your employer files the H-1B petition on time.
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