Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Staff Reliability Engineer, you will own hardware reliability for our next-generation autonomous construction machines. You will define and drive the reliability engineering programs across compute, sensors, cleaning, power, actuation, and supporting subsystems — establishing reliability requirements and budgets, leading Design FMEAs (DFMEA) and Fault Tree Analysis (FTA), building reliability models and test programs, and closing the loop from field failures back into design. Working closely with mechanical, electrical, software, manufacturing, quality, supply chain, and field teams, you will translate reliability goals into design, test, and process decisions that keep machines running in demanding real-world environments — from vibration and shock, to dust, debris, thermal extremes, and weather exposure.

Responsibilities

Define and own the hardware reliability strategy, requirements, and budgets for autonomy upfit hardware across the vehicle platform.
Plan and facilitate Design FMEAs across mechanical, electrical, and electromechanical subsystems.
Build and maintain fault trees for safety-critical and availability-critical functions.
Develop reliability block diagrams, reliability allocations, and predictions.
Define and execute HALT/HASS, accelerated life testing (ALT), and environmental/durability test programs.
Stand up and run a Failure Reporting, Analysis, and Corrective Action System.
Embed reliability into design and milestone reviews.
Partner with supply chain and vendors to qualify components and suppliers.
Build reliability data pipelines and dashboards from warranty/field returns, machine telemetry, and test data.
Partner with electrical, mechanical, software, manufacturing, and field teams during bring-up, validation, and deployment.
Maintain reliability deliverables and develop best-practice reliability processes.

Requirements

10+ years in hardware reliability engineering for vehicles, heavy machinery, robotics, automotive, aerospace, or industrial equipment.
Deep, hands-on expertise leading DFMEA and FTA, plus reliability prediction/modeling, accelerated and life testing (HALT/HASS, ALT), and structured root-cause analysis / FRACAS.
Strong working knowledge of reliability and statistical tools (e.g., ReliaSoft Weibull++/BlockSim, Windchill Quality/Relex, Minitab, Python or R).
Familiarity with PDM/PLM systems a plus.
If you don't fit all the criteria, or are in another location (especially one where we have an office like SF or NY) please apply anyway!

Skills

DFMEA
FTA
Reliability modeling
Reliability prediction
Accelerated life testing
HALT/HASS
ALT
Root-cause analysis
FRACAS
Weibull analysis
Life-data analysis
ReliaSoft Weibull++
BlockSim
Windchill Quality
Relex
Minitab
Python
R

Location

Work Type

Flexible

Experience Level

10+ years

Education Level

Bachelor's degree in Mechanical or Electrical Engineering, Reliability Engineering, Physics, Mechatronics, or a related field, or equivalent experience.

About the Company

At Bedrock, we’re moving AI out of the lab and into the real world.
Our team is composed of industry veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue.
Today, we’re deploying autonomous systems on heavy construction machinery across the country, accelerating project schedules of billion-dollar infrastructure projects and improving safety on job sites.
Backed by $350M in funding, we’re working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.
This is where algorithms meet steel-toed boots.
You’ll collaborate with construction veterans and world-class engineers to solve physical-world problems that simulations can’t touch.
If you're ready to apply cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.