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Google Bus Driver Jobs in California (NOW HIRING)

DYNA Robotics Inc

Fleet Reliability Engineer

Redwood City, CA · On-site

$160K - $200K/yr

Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora ... Actuator dropouts, encoder and calibration drift, thermal events, CAN bus faults, and control-stack ...

New

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

... rail and bus), international airports, and water/wastewater projects delivered through both ... Analyze large and complex datasets to identify trends, risks, anomalies, performance drivers, and ...

GMV

Full Stack Software Engineer - Remote

Los Angeles, CA · On-site +1

$140K - $160K/yr

... driver interfaces, dispatch communications, passenger counters, announcers, GPS tracking, and ... at bus stops. We have relationships with Apple Maps, Google Maps, Transit app, and our work goes ...

GMV

Field Application Engineer

Sacramento, CA · On-site

$90K - $100K/yr

... driver interfaces, dispatch communications, passenger counters, announcers, GPS tracking, and ... at bus stops. We have relationships with Apple Maps, Google Maps, Transit app, and our work goes ...

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How much do google bus driver jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for google bus driver in California is $19.55, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $22.07 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a Google bus driver?

A Google Bus Driver needs a valid commercial driver’s license (CDL), a clean driving record, comprehensive knowledge of traffic and safety regulations, and experience operating large passenger vehicles. Familiarity with digital scheduling tools, GPS navigation systems, and onboard safety equipment is often required. Excellent communication, reliability, and customer service skills help build strong rapport with passengers and ensure smooth operations. These competencies ensure safe, timely, and pleasant transportation for employees, reflecting positively on the company and maintaining operational efficiency.

What is a Google bus driver?

A Google Bus Driver is responsible for transporting Google employees and contractors safely to and from Google offices, campuses, or designated stops. They typically operate shuttle buses, follow scheduled routes, and ensure a comfortable and safe ride for passengers. The role may also include vehicle inspections, adherence to traffic regulations, and maintaining a high level of customer service.

What disqualifies you from being a Google Bus Driver?

Google Bus Drivers must have a valid commercial driver's license (CDL), a clean driving record, and pass background checks. Disqualifications include a history of serious traffic violations, DUI/DWI convictions, or criminal offenses that could impact safety or trustworthiness. Additionally, candidates must meet physical requirements and be able to work flexible schedules.

What does a Google bus driver do?

A typical shift for a Google Bus Driver involves operating designated routes to transport employees between company campuses, offices, or pick-up locations, often during peak commuting hours. Daily responsibilities include conducting pre- and post-trip vehicle inspections, adhering to fixed schedules, maintaining a clean and safe bus environment, and providing assistance or information to passengers as needed. Drivers frequently collaborate with dispatchers and transportation coordinators to adjust to schedule changes or resolve issues on the route. This role requires a focus on safety, punctuality, and customer service throughout every shift.

How do I become a Google Bus Driver?

To become a Google Bus Driver, candidates typically need a valid commercial driver's license (CDL), a clean driving record, and experience operating large vehicles. The hiring process may include background checks, drug testing, and training on company-specific safety protocols and routes.
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Google Bus Driver jobs near you
Infographic showing various Google Bus Driver job openings in California as of August 2026, with employment types broken down into 69% Full Time, 23% Part Time, and 8% Temporary. Highlights an 100% In-person job distribution, with an average salary of $40,658 per year, or $19.5 per hour.

Fleet Reliability Engineer

DYNA Robotics Inc

Redwood City, CA • On-site

$160K - $200K/yr

Full-time

Posted yesterday

New

Job description

Dyna Robotics makes general-purpose robots powered by a proprietary embodied AI foundation model that generalizes and self-improves across varied environments with commercial-grade performance. Dyna's robots have been deployed at customers across multiple industries. Its frontier model has the top generalization and performance in the industry.
Dyna Robotics has raised over $140M, backed by top investors including CRV, First Round Capital, Robostrategy, Salesforce Ventures, NVentures, Amazon, Samsung Next, and LG Technology Ventures. Our team brings together engineers and researchers from Google, Meta, Apple, Amazon, Cruise, Aurora, NVIDIA, along with academic roots at Stanford, Berkeley, MIT, UPenn, and beyond. We're positioned to redefine the landscape of robotic automation.
About the role
We are looking for an engineer to own the health of our humanoid robot fleet, from root-causing a single hardware failure at the bench to building the telemetry and tooling that catches degradation before it becomes downtime.
This is a genuinely hands-on role. The same person who writes the fleet-wide degradation analysis should be comfortable pulling an arm off a robot, probing a suspect driver board, soldering a fix, and designing the bracket that makes the repair stick. You will sit at the intersection of hardware, firmware, controls, and data infrastructure, and you will be the person the team calls when a robot does something nobody can explain.
What You'll Do
  • Root-cause complex failures across the fleet. Actuator dropouts, encoder and calibration drift, thermal events, CAN bus faults, and control-stack bugs, separating genuine hardware degradation from firmware, calibration, and model-side causes.
  • Work hands-on with the hardware. Bench-test suspect actuators and electronics, rework and repair (soldering, harness and connector work), swap and re-commission components, and run physical validation with calipers, test fixtures, and boot and power-cycle rigs you build yourself.
  • Design and build the mechanical pieces. Take test fixtures, jigs, brackets, mounts, and small modifications to fielded robots from concept through fabrication, whether 3D printed or through the shop or a vendor.
  • Turn mechanical evidence into design changes. Reason from your data about backlash, windup, gear wear, preload, and hard-stop behavior, and feed that back as concrete changes. The mechanical team owns major structural design and simulation, so you will work closely with them and with vendor models and joint-limit specs.
  • Build and roll out fleet health metrics. Maintenance indices, hold-current precursors, backlash and deadband tracking, and bus-error monitoring, with alert rules tuned to fire on real faults rather than noise floors.
  • Develop calibration and test tooling. Calibration tools with safety gates, characterization sweeps for new hardware revisions, and pre-merge validation harnesses for firmware and software changes.
  • Wrangle robot telemetry at scale. Extract and decode logs (MCAP, npz, episode archives) from bandwidth-constrained robots, close gaps in the telemetry pipeline, and build the monitoring that should have existed already.
  • Write things down and hand them off. Runbooks, SOPs, incident reports, and handoff packages clean enough that a teammate can pick the work up cold.
  • Review PRs and propose fixes. Across firmware defaults, control code, and deployment configuration, catching interaction bugs between calibration tools, boot checks, and safety gates.

What You'll Bring
  • 3 to 5 years in robotics, mechatronics, hardware test, or reliability engineering, with significant time on fielded hardware rather than lab prototypes.
  • Genuinely hands-on instincts. You are comfortable at the bench with a soldering iron, multimeter, and calipers, and you can tear down, repair, and re-commission electromechanical assemblies without waiting on another team.
  • An understanding of how actuators fail mechanically, including backlash, wear, preload loss, and end-stop damage, and the ability to connect physical evidence to design causes. You will not be doing large structural design or FEA, but you should hold your own in a design review.
  • Working knowledge of robot control: impedance and torque-controlled actuators, force-control parameters, and controller state lifecycles (boot, e-stop, reconnect). Enough to tune deployed behavior and recognize when a "hardware" fault is actually a controls bug. You do not need to design controllers from scratch.
  • Strong Python for data analysis and tooling, plus solid time-series and signal-statistics instincts around noise floors, drift, persistence rules, and spotting when an alert is just a tiny denominator.
  • Fluency with actuators and motor control: quasi-direct-drive systems, encoders, torque and current telemetry, CAN, and calibration and zeroing procedures.
  • Experience with observability stacks (Datadog or similar) and git and PR-based workflows.
  • Rigor about evidence. You distinguish measured from commanded and correlation from cause, and you will not ship a conclusion or set a baseline on contaminated data.
  • A bias toward small, verifiable scope. You deliver the stated goal, flag adjacent issues once, and do not gold-plate.
Bonus points for
  • Experience with teleoperation systems, VR interfaces, or data-collection fleets.
  • Prior work on hardware qualification (EVT, DVT, PVT) or manufacturing and incoming test.
  • Simulation sanity-checking in MuJoCo.
  • A track record of building tools and SOPs that other engineers actually adopt.

At Dyna Robotics, we build technology for the real world, which requires a team as diverse as the environments our robots inhabit. We are an equal opportunity employer committed to technical rigor and mutual respect.
Don't let a checklist stop you. Data shows that underrepresented groups often only apply if they meet 100% of the criteria. We value problem-solving and grit over keyword matching. If you're passionate about closing the loop between deployed robots and better models, we want to hear from you, even if you don't check every box.

Apply