Jobs / United States / Agility Robotics INC

Agility Robotics INC

Staff Failure Analysis Engineer

Onsite- Salem, OR Posted today

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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.
  • 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.
  • What Agility Robotics INC paid sponsored hires in similar roles5 certified filings for “Software Engineer III, Machine Learning” (Software Developers) in OR: $225k–$225k, median $225k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
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. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-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 roles
5 certified filings for “Software Engineer III, Machine Learning” (Software Developers) in OR: $225k–$225k, median $225k. Most were filed at wage level II (40%) — 2 lottery entries, ≈31% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

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.

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. About the Role We are seeking an experienced Field Failure Analysis Engineer to lead deep-dive technical investigations into electromechanical, hardware, and system-level field failures across deployed Digit fleets. In this role, you bridge field operations, customer deployments, and engineering design teams to rapidly contain field escapes, definitively identify physics-of-failure mechanisms, and drive closed-loop corrective actions (CAPA) back into manufacturing and next-generation architecture. About the Work • Drive Deep-Dive Physical & System FA: Lead end-to-end failure investigations on field-returned modules—including high-torque actuators, cycloidal/planetary gearboxes, high-strain cable harnesses, PCBAs, motor controllers, safety sensors (LiDAR/depth cameras), and battery management systems (BMS). • Telemetry & Log-Driven Triage: Correlate physical failure modes with fleet telemetry data, onboard CAN/EtherCAT bus logs, system crash dumps, and time-series sensor data to reproduce field anomalies in lab environments. • Own 8D & CAPA Execution: Champion structured problem-solving (8D, 5-Why, Fishbone, FTA) for critical field excursions. Partner cross-functionally with Design Engineering, Manufacturing Quality, and Supplier Quality to drive permanent design-for-reliability (DFR) and design-for-serviceability (DFS) mitigations. • Rapid Field Containment: Define immediate containment protocols, triage criteria, and inspection work instructions for field technicians and customer-support teams during safety-critical or fleet-wide failure events. • Manage FA Lab & External Testing Partners: Oversee internal failure analysis lab equipment (oscilloscopes, thermal imaging, digital microscopy, dynamometers) and coordinate advanced external analytical testing (CT scanning, SEM/EDX, cross-sectioning, metallurgical analysis). • Standardize RMA & Depot FA Workflows: Establish standardized teardown SOPs, failure code taxonomies, and disposition tracking across repair depots and Salem assembly facilities. • Quality Reporting & Pareto Analytics: Analyze fleet return rates, Mean Time Between Incidents (MTBI), and component failure modes to deliver clear Pareto metrics and technical executive summaries to engineering and operations leadership. About You • Education: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Systems Engineering, or equivalent practical experience. • Experience: 6+ years of hands-on failure analysis, field quality, or reliability engineering experience supporting complex electromechanical systems (Robotics, Autonomous Vehicles, EV/Powertrain, Aerospace, or Heavy Industrial Automation). • Mechatronics Troubleshooting: Demonstrated ability to trace cross-domain issues spanning mechanical stress/wear, electrical signal degradation, motor drive failures, and firmware/sensor interaction. • Structured RCA Mastery: Practical mastery of 8D, Fault Tree Analysis (FTA), FMEA, and Ishikawa diagrams, with a portfolio of verified corrective actions that eliminated field failure modes. • Lab Tool Proficiency: Proficiency with bench diagnostic tools (DMMs, high-bandwidth oscilloscopes, logic analyzers, optical microscopy, thermal cameras, torque test fixtures). Preferred Qualifications • Experience with Linux environments, ROS, CAN/EtherCAT protocol analyzers, and cloud-based time-series data visualization (e

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