Jobs / United States / Agility Robotics INC
Staff HiL SW Infrastructure Engineer
Agility Robotics INC · 🇺🇸 Hybrid- Fremont, CA
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 41 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Agility Robotics INC paid sponsored hires in similar roles7 certified filings for “Staff Robotics Engineer, AI Manipulation” (Software Developers) in CA: $210k–$285k, median $226k. Most were filed at wage level II (71%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Agility Robotics INC
The US Department of Labor certified 41 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 2 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Agility Robotics INC →
About the role
Agility’s commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential. Role Overview Agility Robotics is seeking a Staff HiL Software Infrastructure Engineer to join the Systems Engineering, Integration & Test (SEIT) team. This critical role will lead the development of a modular, rack-based Hardware-in-the-Loop (HiL) ecosystem for our next-generation V5 humanoid robot. You will be responsible for the core software infrastructure that powers our automated testing, including real-time simulation models, CI/CD pipelines, and hardware interface libraries. Key Responsibilities • Automation Framework Development: Design, implement, and scale test automation frameworks to support continuous firmware and software regression testing. • CI/CD Pipeline Engineering: Build and manage automated pipelines using GitHub Actions to trigger firmware flashing and test execution on physical HiL runners. • Real-Time Simulation Modeling: Develop high-fidelity RT models for motor, encoder, communication framework and sensor emulation to support sub-system and full-system HiL benches. • Hardware Interface Libraries: Create and maintain robust software libraries for interfacing with industrial hardware protocols, including EtherCAT, CAN, SPI , I2C , SCPI-controlled power supplies, and PXI relay APIs. • Infrastructure Management: Configure and maintain Linux-based workstations as GitHub Actions self-hosted runners, ensuring deterministic and traceable test environments. • Cross-Functional Collaboration: Partner with Electrical Engineers and Firmware teams to define signal mapping, fault injection requirements, and sensor data simulation strategies. • Fault Injection Implementation: Programmatically control Fault Injection Units (FIU) to simulate short-to-battery, short-to-ground, and open-circuit conditions on critical robot signals. Technical Skills & Requirements Core Requirements • Minimum of 5 years of experience in test engineering, design verification, or electrical validation • Strong preference for experience in robotics, autonomous vehicles, aerospace, or other complex hardware systems • Extensive experience in designing, implementing, and maintaining Hardware-in-the-Loop (HiL) systems, and deep familiarity with Verification & Validation (V&V) methodologies for complex robotic or embedded systems. • Strong proficiency in Python for automation, scripting, and development, as well as MATLAB/Simulink for real-time model development. • Proven experience with GitHub Actions and test automation framework in a hardware-focused environment. • Deep understanding of EtherCAT, Ethernet, CAN , SPI, I2C, and differential UART. • Experience with real-time simulation platforms such as dSpace (Labbox/SCALEXIO/ConfigurationDesk) or NI, and real-time operating systems like Linux RT. Preferred Qualifications • Familiarity with Acontis and other EtherCAT simulation • Proven experience in Linux system administration and Docker for containerized test environments. • Experience with one or more robotics simulation platforms such as NVIDIA Isaac Sim, MuJoCo, Gazebo, or Webots. • Experience with programmable power supplies, electronic loads, and PXI-based switching hardware. • Experience in a high-growth startup or New Product Introduction (NPI) environment, specifically bridging the gap between R&D prototypes and production hardening. Education • • Bachelor’s degree in Computer Science, Computer Engineering or a related field (Master’s