H-1B Visa Backend Infrastructure Engineer Jobs
Backend Infrastructure Engineer roles sit squarely within H-1B visa specialty occupation territory, requiring at least a bachelor's degree in computer science, electrical engineering, or a related field. Employers filing H-1B petitions for this role must certify a prevailing wage through the DOL and demonstrate the position meets specialty occupation standards. Infrastructure-focused engineers are among the most consistently sponsored H-1B candidates.
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Get Access To All JobsINTRODUCTION
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build. We're looking for a senior-level backend engineer who has scaled high-throughput, low-latency data systems and has strong instincts around cloud infrastructure and real-time streaming pipelines. You'll architect and build the core backend systems that power Figure's real-time data infrastructure — enabling the scale and reliability that our AI and robotics platforms depend on. This is a high-ownership role at the intersection of media and sensor data streaming, cloud systems, and applied ML serving. You'll work closely with our AI and robotics teams to ensure latency, reliability, and throughput meet the demands of real-world robot operation.
ROLE AND RESPONSIBILITIES
- Architect and scale cloud backend infrastructure for high-concurrency, real-time streaming of media and sensor data across robot fleets and user sessions.
- Design and build low-latency data pipelines that ingest, route, and process high-bandwidth streams — including camera feeds, IMU data, and other robot sensor outputs — into our AI stack in real time.
- Own reliability, latency, and throughput SLAs for streaming and data infrastructure.
- Collaborate with AI and robotics teams to integrate ML model serving into real-time data pipelines.
- Build observability, alerting, and tooling to give the team full situational awareness over live robot traffic.
- Drive architectural decisions and mentor engineers across the team.
BASIC QUALIFICATIONS
What We're Looking For
- Deep experience scaling cloud backend systems handling high-concurrency, real-time data streams — media, sensor, telemetry, or equivalent high-bandwidth pipelines.
- Strong fundamentals in distributed systems: stream processing, connection management, data transport, and low-latency architecture.
- Proficiency in one or more backend languages (Go, C++, Python, Rust) and cloud platforms (AWS, GCP, or Azure).
- Experience with containerized infrastructure, service mesh, and large-scale deployment pipelines.
- Strong communication and cross-functional collaboration skills.
PREFERRED QUALIFICATIONS
NICE TO HAVE
- Hands-on experience integrating AI inference serving (Triton Inference Server, TensorRT, SageMaker, or similar) into real-time data pipelines.
- Background in robotics, autonomous vehicles, live media platforms, or other latency-critical streaming domains.
- Familiarity with protocols such as WebRTC, RTSP, gRPC, or Kafka for real-time data transport.
- Experience with on-device or edge inference and the tradeoffs of cloud vs. edge processing.
COMPENSATION
The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
INTRODUCTION
Figure is an AI Robotics company developing a general purpose humanoid. Our humanoid robot is designed for commercial tasks and the home. We are based in San Jose and require 5 days/week in-office collaboration. It’s time to build. We're looking for a senior-level backend engineer who has scaled high-throughput, low-latency data systems and has strong instincts around cloud infrastructure and real-time streaming pipelines. You'll architect and build the core backend systems that power Figure's real-time data infrastructure — enabling the scale and reliability that our AI and robotics platforms depend on. This is a high-ownership role at the intersection of media and sensor data streaming, cloud systems, and applied ML serving. You'll work closely with our AI and robotics teams to ensure latency, reliability, and throughput meet the demands of real-world robot operation.
ROLE AND RESPONSIBILITIES
- Architect and scale cloud backend infrastructure for high-concurrency, real-time streaming of media and sensor data across robot fleets and user sessions.
- Design and build low-latency data pipelines that ingest, route, and process high-bandwidth streams — including camera feeds, IMU data, and other robot sensor outputs — into our AI stack in real time.
- Own reliability, latency, and throughput SLAs for streaming and data infrastructure.
- Collaborate with AI and robotics teams to integrate ML model serving into real-time data pipelines.
- Build observability, alerting, and tooling to give the team full situational awareness over live robot traffic.
- Drive architectural decisions and mentor engineers across the team.
BASIC QUALIFICATIONS
What We're Looking For
- Deep experience scaling cloud backend systems handling high-concurrency, real-time data streams — media, sensor, telemetry, or equivalent high-bandwidth pipelines.
- Strong fundamentals in distributed systems: stream processing, connection management, data transport, and low-latency architecture.
- Proficiency in one or more backend languages (Go, C++, Python, Rust) and cloud platforms (AWS, GCP, or Azure).
- Experience with containerized infrastructure, service mesh, and large-scale deployment pipelines.
- Strong communication and cross-functional collaboration skills.
PREFERRED QUALIFICATIONS
NICE TO HAVE
- Hands-on experience integrating AI inference serving (Triton Inference Server, TensorRT, SageMaker, or similar) into real-time data pipelines.
- Background in robotics, autonomous vehicles, live media platforms, or other latency-critical streaming domains.
- Familiarity with protocols such as WebRTC, RTSP, gRPC, or Kafka for real-time data transport.
- Experience with on-device or edge inference and the tradeoffs of cloud vs. edge processing.
COMPENSATION
The US base salary range for this full-time position is between $150,000 - $400,000 annually. The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.
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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Backend Infrastructure Engineer
Map your role to the right SOC code
Backend infrastructure work spans multiple DOL Standard Occupational Classification codes. Confirm your job duties align with SOC 15-1299 or 15-1244 before your employer files the LCA, since mismatches can trigger RFEs at the I-129 stage.
Verify prevailing wage before negotiating salary
Use the OFLC Wage Search to look up the Level I through Level IV wage for your specific SOC code and work location. Your offered salary must meet or exceed the certified wage, and this floor is non-negotiable regardless of what the employer wants to pay.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities are cap-exempt and can file H-1B petitions year-round. Infrastructure engineering roles at these organizations skip the annual lottery entirely, which matters if you're approaching the end of your OPT or grace period.
Filter for infrastructure-specific H-1B sponsors on Migrate Mate
Search Migrate Mate to identify employers with verified H-1B LCA filing history for backend and infrastructure roles. Targeting companies with a documented sponsorship record for your specific function cuts time spent on employers who sponsor selectively or only for other engineering disciplines.
Front-load the specialty occupation documentation
Backend infrastructure engineering sometimes draws RFEs because job duties can look operational rather than theoretical. Ask your employer to include an organizational chart, technical project scopes, and degree requirement evidence in the initial I-129 filing rather than waiting for USCIS to ask.
Use premium processing if your start date is fixed
USCIS premium processing guarantees a decision within 15 business days on an I-129 petition. If your employer has a hard onboarding date or your OPT cap-gap window is tight, request premium processing in the original filing rather than upgrading later, which resets the clock.
H-1B Visa Backend Infrastructure Engineer: Frequently Asked Questions
Does a backend infrastructure engineer role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, computer engineering, or information systems. The specialty occupation test focuses on the job duties, not the job title. Roles that mix infrastructure work with general IT support may face closer scrutiny, so the employer's job description should emphasize design, architecture, and systems engineering responsibilities.
How do I find employers that actively sponsor H-1B visas for backend infrastructure engineers?
Search Migrate Mate to browse backend infrastructure engineering roles filtered by verified H-1B LCA filing history. Focusing on employers with a documented track record for this specific function reduces the risk of pursuing companies that sponsor only selectively or only for software development roles rather than infrastructure-focused positions.
What happens to my H-1B status if I switch from a product company to a cloud services company?
Changing employers requires your new employer to file an H-1B transfer petition before you start work. The SOC code, prevailing wage level, and specialty occupation classification are re-evaluated at that point. If your role shifts from pure infrastructure engineering to a broader DevOps or platform operations scope, the new LCA must reflect those duties accurately or an RFE becomes likely.
Can backend infrastructure engineers use the O*NET profile to support their H-1B petition?
Yes. The O*NET profile for related occupational codes lists typical education requirements and core tasks that USCIS adjudicators reference when evaluating specialty occupation. Your employer's attorney can cite the O*NET job zone and degree requirement data in the I-129 cover letter to establish that the position normally requires a qualifying bachelor's degree.
Does remote work affect the H-1B petition for a backend infrastructure engineering role?
Yes. H-1B status is tied to the place of employment listed on the certified LCA. If you work remotely from a different metro area than where the employer filed, a new LCA must be certified for that work location. For distributed infrastructure teams, employers often file blanket LCAs covering multiple worksites, but you should confirm this before accepting a remote arrangement in a new city.