Avride

Avride

Robot Service Technician Assistant

San Angelo, Texas · Part-time

Sponsorship not specifiedDetected 23 days ago
RoboticsCommunicationCollaboration

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card follow-through: 88%

Of 8 labor certifications old enough to have been used, 1 expired without the employer filing the next step. Median time from filing to decision: 459 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

DOL often reclassifies their job titles

The Department of Labor assigned a different occupation than this employer requested on 79% of its 19 wage determinations — against a 18% norm. The occupation sets the prevailing wage floor.Reclassification is routine and can reflect genuinely hybrid roles; it is not by itself evidence of underpayment.

Files H-1B transfers

6 transfer filings in the last year, covering 6 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • You will ensure our fleet is ready for deployment while learning foundational skills needed to advance in our rapidly growing industry.
  • Shifts will cover the weekend days (Saturday and Sunday.) Most campuses offer approximately 16 hours per weekend, split across Saturday and Sunday.
  • Shifts are generally around 8 hours per day, with both a morning/afternoon shift and an afternoon/late-evening shift available.

Responsibilities

  • Put robots/batteries on chargers for the night: Manage power cycles to ensure maximum fleet readiness.
  • Clean robots: Maintain physical appearance and protect sensitive external hardware.
  • Perform mechanical repairs: Assist with and execute basic repairs on the robot fleet.
  • Perform service campaigns: Help implement widespread hardware or software updates across the fleet.
  • Perform calibrations and wheel alignment: Ensure sensors and chassis components are properly tuned for safe navigation.
  • Keep workshop clean and tidy: Maintain a safe, organized, and efficient workspace for the entire technical team.

Requirements

  • Ability to lift and move items over 50 pounds safely.

Nice to have

  • General computer literacy.
  • Introductory background or interest in electric vehicle (EV) service, automotive repair, or electronics.
  • Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities.

Company info

  • Since 2017, Avride has been building expertise in autonomous technologies to create solutions that address current needs and anticipate future demands.
  • We are a U.S.-based autonomous vehicle startup headquartered in Austin, Texas with additional R&D hubs around the world.
  • Our company develops and operates both autonomous cars and delivery robots that share technologies and mutually benefit from each other's advancements - a unique approach in the industry.
  • Avride is preparing to launch a fleet of autonomous delivery robots at multiple campuses across the U.S. and we are hiring a motivated, entry-level Robot Service Technician Assistant to support this exciting deployment.

Visa & Work Authorization

  • Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.

This listing is sourced directly from Avride's careers page and normalized into a canonical job model.