E-3 Visa Backend Infrastructure Engineer Jobs
Backend Infrastructure Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a relevant bachelor's degree. Australian engineers working on distributed systems, cloud platforms, or reliability engineering can apply without entering a lottery. The E-3 has a 10,500 annual allocation that has never been exhausted, making sponsorship more predictable than most U.S. work visas.
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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.
See all 52+ E-3 Visa Backend Infrastructure Engineer Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Backend Infrastructure Engineer
Frame your degree field precisely
A computer science or software engineering degree maps cleanly to backend infrastructure roles. If your Australian degree has a broader title like IT or information systems, document coursework in systems architecture or distributed computing to strengthen the specialty occupation case.
Target companies with active LCA filings
Search the DOL's OFLC disclosure data for employers who have filed LCAs for infrastructure, platform, or site reliability engineering roles. Prior LCA filings signal that a company's HR and legal teams already understand the E-3 visa sponsorship process.
Clarify job duties before the offer stage
Backend infrastructure titles cover a wide spectrum. Confirm with the hiring manager that your written job description specifies systems-level responsibilities, not general software development. The LCA must reflect a role that demonstrably requires a specialized degree.
Request the LCA timeline from your employer early
The DOL certifies LCAs within seven business days for standard applications. Ask your employer to initiate the LCA filing as soon as the verbal offer is extended, so certification doesn't delay your consulate appointment scheduling.
Use Migrate Mate's E-3 filing service for end-to-end preparation
Migrate Mate's E-3 filing service handles LCA submission, visa documentation, and consulate preparation in one workflow. This is especially useful when your employer has no prior E-3 experience and needs guided support through the DOL and State Department steps.
Prepare a prevailing wage explanation for your employer
The DOL requires your employer to pay at least the prevailing wage for your role and location. Download the OEWS wage data for your specific SOC code and metro area so your employer can set a compliant offer before filing the LCA.
E-3 Visa Backend Infrastructure Engineer: Frequently Asked Questions
How do I find Backend Infrastructure Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate filters backend infrastructure roles by employers who have active E-3 sponsorship history, so you're not cold-applying and hoping. Standard job searches don't surface sponsorship willingness reliably. Searching through Migrate Mate connects you directly to roles where the employer already understands the E-3 process for Australian engineers.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does Backend Infrastructure Engineer qualify as a specialty occupation for the E-3?
Yes, provided the role requires a bachelor's degree or higher in a specific technical field such as computer science, software engineering, or a related discipline. The key is that the position must genuinely require that specialized degree, not merely accept one. Roles focused on systems reliability, cloud infrastructure, or distributed platform engineering consistently meet this threshold. Generalist IT roles that accept any bachelor's degree are harder to qualify.
How does the E-3 compare to the H-1B for backend infrastructure engineers?
The E-3 has no lottery and no annual numerical cap in practical terms, since the 10,500 allocation has never been fully used. H-1B visa cap-subject petitions enter a lottery where selection is not guaranteed. For Australian engineers, the E-3 also allows consular processing in three to four weeks under typical conditions, whereas H-1B standard processing runs several months. The trade-off is that E-3 requires maintaining a qualifying job offer to remain valid.
Can I switch backend infrastructure employers while on an E-3?
Yes, but there's no portability provision equivalent to H-1B's AC21 rule. You need a new LCA certified by the DOL and a new visa stamp issued for the new employer before you begin work, unless you're changing status from within the U.S. under a new petition. Most engineers plan a brief gap between roles or align the transition with a trip outside the U.S. to process the new stamp at an Australian consulate.