Autolane, Inc. Direct Delivery Field Test Intern Richmond, CA · Intern Company website

Autolane is hiring a Direct Delivery Field Test Intern to run hands-on, real-world tests of our autonomous delivery system in live markets — capturing clean data, documenting edge cases, and flagging issues for the field ops and engineering teams. Ideal for a detail-obsessed, self-starting student who's comfortable working on-site and curious about how autonomous systems get built and proven in the field.

Description

About Autolane

Autolane is the orchestration layer for autonomous last-mile logistics. We're backed by Draper Associates, Hyperplane, and Jason Calacanis, and we're an NVIDIA Inception company.


Our Direct Delivery product line dispatches retailer-operated AVs for first and last-mile drops. We run closed-course validation at the 100-acre joint test campus operated with UC Berkeley ITS and DriveAI. We are heads-down on V1 launch and we need eyes, hands, and brains on the ground.


This is not a coffee-fetching internship. You'll own real test scenarios, file real bugs, and work directly with the engineering team.


What You'll Do

  • Run scripted and exploratory test scenarios on Direct Delivery vehicles at the ITS/DriveAI campus: pickup, dropoff, handoff, retailer-driver edge cases.
  • Collect structured telemetry, video, and event logs from every session. File clean, reproducible bug reports.
  • Operate the Driver PWA and Autolane Portal during live runs. Surface the UX friction that only shows up in the field.
  • Build small dashboards and scripts (Python, SQL, light frontend) to slice run data and surface trends.
  • Reproduce production issues on the test campus when engineering needs ground truth.
  • Sit in on standups and design reviews. Push back when something looks wrong.


Who We're Looking For

Required

  • Current UC Berkeley undergrad (junior or senior) or grad student in EECS, ME, Robotics, IEOR, Data Science, or similar.
  • Valid CA driver's license, clean DMV record, comfortable working in and around test vehicles for 4 to 6 hour blocks.
  • Solid Python. Comfortable in a Unix shell, Git, and a real text editor.
  • High-signal observer. You notice when something is off, write it down with timestamps, and don't hand-wave.
  • 15 to 25 hours per week, including weekday daytime blocks for field sessions. We work around your class schedule.


Nice to Have

  • Prior lab time in PATH, BAIR, DeepDrive, Hybrid Systems Lab, or any AV/robotics group on campus.
  • ROS / ROS2, Foxglove, MCAP, rosbag, or any telemetry-adjacent tooling.
  • Computer vision fundamentals (ALPR, object detection, tracking). PyTorch literacy.
  • React, Next.js, or other frontend chops. The Portal always has work.
  • Prior shipping-product or startup experience over coursework-only experience.

What You'll Get

  • Real ownership of test workstreams that ship to paying customers.
  • A direct seat next to the CTO and the core engineering team.
  • Exposure to the full Direct Delivery stack: AV fleet integration, Driver PWA, Portal, dispatch, SMS, telemetry pipeline.
  • A line on a return offer if it's a fit on both sides.

Logistics

  • Compensation: $32 to $42 per hour, based on level and skill mix. Paid bi-weekly via 1099 (W-2 available on request).
  • Hours: 15 to 25 per week, flexible around classes.
  • Location: On-site at the ITS/DriveAI Berkeley test campus, with remote flex for analysis days.
  • Term: Summer 2026 start, with the option to continue through the academic year if it's a mutual fit.
  • Reports to: Chad Agate, CTO.


How to Apply

Send a one-paragraph note on why this role plus a link to something you've built (repo, paper, demo, video, anything) to [email protected]. No cover letters. We respond within 48 hours.


Autolane is an equal opportunity employer. We hire on signal, not credentials.



Salary

$32 - $42 per hour