Jobs / United States / Agility Robotics INC
Staff Software Engineer, Data Platform
Agility Robotics INC · 🇺🇸 Remote · Remote
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. About The Role Join the cutting-edge team building the data platform that powers fleet-scale humanoid robotics. As a Staff Software Engineer on our Data Platform team, you will play a pivotal role in designing, developing, and maintaining the infrastructure that enables efficient ingestion, processing, discovery, serving, and analysis of massive datasets generated by our robots. Your work will directly contribute to improving robot performance, operational insights, and scaling our cloud-based systems. Key Responsibilities • Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software • Data Agents: Develop and maintain data ingestion agents running directly on robot software to ingest high volume data in low connectivity environments. • Data Formats: Maintain and develop data formats and protocols optimized for transmission, storage and query of data recordings, sensor data and telemetry. • Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. • Big Data Processing: Implement solutions to prepare high volume, high velocity data for analysis using technologies such as Spark, Kafka or equivalent • Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. • IoT integration: Leverage IoT experience to improve data collection and processing pipelines from robot sensors and edge devices. Required Qualifications • 5+ years of strong experience in building and scaling cloud-based data platforms with familiarity in cloud providers like AWS, GCP or Azure. • Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc • Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. • Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems • Proficiency in languages like Java, Scala (any JVM), or Python and a solid understanding of distributed systems and microservices architectures. Bonus Qualifications • Experience with Robotics, Autonomous Vehicles, or other sensor heavy workloads will be strongly preferred. • Knowledge of IoT systems, edge computing or working with embedded devices is nice-to-have. • Data catalog experience (Datahub, Amundsen, Databricks Unity Catalog) • Experience with Databricks • Experience with Kubernetes • Experience with Bazel/Blaze or other build systems • Experience with C++, Rust • Experience with robot data formats like mcap, ROS etc and data playback and visualization tooling like Rerun etc. This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, OR, Pittsburgh, PA, or Fremont, CA offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future. Anticipated Base Salary Range $191,000 — $299,000 USD In addition to base pay, our competitive total rewards pac