Ouster

High-resolution lidar sensors for autonomous systems

Senior Reliability/Verification Engineer

Hardware Validation & TestingConfirmed live in the last 24 hours

Full-timeSan Francisco, CA, USAIn-person

About the Job

Requirements

At least 8 years of experience defining verification strategies, building test infrastructure, and shipping complex hardware systems.
Experience qualifying rugged electromechanical and compute systems to industrial-grade standards for harsh deployment environments.
Extensive knowledge of reliability physics, accelerated life testing, signal and power integrity, and environmental stress profiles.
Experience owning the reliability lifecycle from initial test plan creation to field stability tracking.
A proven track record leading cross-functional root cause analysis and failure investigations to drive critical design and manufacturing improvements.

Responsibilities

Define, develop, and execute comprehensive reliability test plans for all autonomy hardware projects.
Validate AI compute boxes, focusing on thermal management, power integrity, and hardware-software integration.
Lead the electrical validation of vehicle wire harnesses, power distribution, and sensor interfaces, ensuring resistance to electromagnetic interference and electromagnetic compatibility, vibration, and other environmental factors.
Design and oversee environmental stress testing, including highly accelerated life testing, thermal cycling, ingress protection, and mechanical vibration.
Lead Failure Mode and Effects Analysis and root cause analysis for complex hardware failures.
Partner with functional safety experts to design and execute test cases validating compliance for safety-rated hardware.

Desired Qualifications

Experience validating autonomous vehicle systems, edge AI compute platforms, or safety-critical industrial robotics.
Experience with Functional Safety standards such as ISO 26262 and implementing rigorous validation frameworks for safety-rated hardware.

At Ouster, we are pioneering the future of Physical AI. Our advanced vision algorithms and cutting-edge sensor hardware power the next generation of autonomous systems - from robots to smart infrastructure - building a safer and more efficient world.

The Industrial Autonomy Team is seeking a senior reliability and verification engineer to design the test frameworks and validation strategies proving our products for autonomy and physical AI customers are safe and rugged. Within our small hardware team, you will be the gatekeeper for reliability, ensuring our compute, electromechanical, and safety-critical platforms survive harsh environments for customer deployment at scale.

Responsibilities

Define, develop, and execute comprehensive reliability test plans for all autonomy hardware projects
Validate AI compute boxes, focusing on thermal management, power integrity, and hardware-software integration
Lead the electrical validation of vehicle wire harness, power distribution, and sensor interfaces, ensuring resistance to EMI/EMC, vibration, and other environmental factors
Design and oversee environmental stress testing including HALT, thermal cycling, ingress protection, and mechanical vibration
Lead Failure Mode and Effects Analysis (FMEA) and Root Cause Analysis for complex hardware failures
Partner with the functional safety experts to design and execute test cases validating compliance for safety rated hardware

Qualifications

8+ years of experience defining verification strategies, building test infrastructure, and shipping complex hardware systems
Experience qualifying rugged electromechanical and compute systems to industrial-grade standards for harsh deployment environments
Extensive knowledge of reliability physics, accelerated life testing, signal/power integrity, and environmental stress profiles
Experience owning the reliability lifecycle from initial test plan creation to field stability tracking
Proven track record leading cross-functional Root Cause Analysis (RCA) and failure investigations to drive critical design and manufacturing improvements.

Preferred experience

Experience validating autonomous vehicle systems, edge AI compute platforms, or safety-critical industrial robotics.
Experience with Functional Safety standards (ISO 26262 or similar) and implementing rigorous validation frameworks for safety-rated hardware

The base pay will be dependent on your skills, work experience, location, and qualifications. This role may also be eligible for equity & benefits. ($140,000 - $200,000)

We acknowledge the confidence gap at Ouster. You do not need to meet all of these requirements to be the ideal candidate for this role.

Ouster is an Equal Employment Opportunity employer that pursues and hires a diverse workforce. Ouster does not make employment decisions on the basis of race, color, religion, ethnic or national origin, nationality, sex, gender, gender-identity, sexual orientation, disability, age, military status, or any other basis protected by local, state, or federal laws. Ouster also strives for a healthy and safe workplace, and prohibits harassment of any kind. Pursuant to the San Francisco Fair Chance Ordinance, Ouster considers qualified applicants with arrest and conviction records for employment. If you have a disability or special need that requires accommodation, please let us know.

About the Company

Ouster

High-resolution lidar sensors for autonomous systems

Ouster designs and sells high-resolution lidar sensors used in autonomous vehicles, robotics, mapping, and industrial applications. Their sensors emit laser pulses and analyze reflected light to measure distance and create 3D point clouds, with software tools to process and utilize the data for navigation, mapping, and analytics. The company stands out by pursuing high-volume manufacturing and global fulfillment, enabling scalable deployment across diverse sectors such as automotive, industrial, security, traffic management, drones, and crowd analytics, as well as offering sensor-specific software and a chip (L3) to boost performance. Ouster’s goal is to provide reliable, scalable sensing at scale to power autonomous technology and smart infrastructure.

Company size: 201-500
Company stage: IPO
Headquarters: San Francisco, CA
Founded: 2015

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