Lyte Logo

Lyte

Hardware Reliability Test Engineer

Posted 3 Days Ago
Be an Early Applicant
In-Office
Sunnyvale, CA, USA
170K-250K Annually
Mid level
In-Office
Sunnyvale, CA, USA
170K-250K Annually
Mid level
Own hardware reliability and environmental qualification for sensor modules and custom silicon. Design, execute, and analyze HALT/HASS, vibration, shock, thermal, humidity, dust, and EMI/EMC testing. Develop accelerated life models and reliability predictions, lead failure analysis and corrective actions, manage test fixtures and chambers, and contribute design-for-reliability requirements. Document qualification results for customer and regulatory review while supporting functional safety and durability claims.
The summary above was generated by AI

About Lyte

Lyte builds perception systems for Physical AI operating in complex environments. The company combines custom silicon, integrated sensors, and software into a unified platform for robotics, mobility, and next-generation automation. Lyte is headquartered in Sunnyvale, California, with a global presence. For more information, visit www.lyte.ai


If you’re excited about building impactful technology in a dynamic, hands-on environment, we’d love to hear from you!

About the role

We're looking for a Hardware Reliability Test Engineer to own environmental and durability qualification for LyteVision modules and the custom silicon inside them (LyteCore SoC, analog front-end, laser control chip). You'll design and run the test programs that prove our sensors survive vibration, thermal cycling, humidity, shock, and years of field duty — and you'll turn failures into root causes the design team can act on. 

This is a hands-on role: you'll be in the lab running HALT/HASS chambers as often as you're in front of a laptop analyzing failure data. 

What you'll do

  • Design, execute, and analyze HALT (Highly Accelerated Life Testing) and HASS (Highly Accelerated Stress Screening) programs for LyteVision modules and subassemblies 
  • Build and run test plans for vibration, mechanical shock, thermal cycling, thermal shock, humidity/condensation, dust/ingress (IP rating validation), and EMI/EMC 
  • Characterize optical and sensor performance drift under environmental stress 
  • Define accelerated life test models and translate chamber results into field-life reliability predictions (e.g., MTBF/MTTF estimates, Weibull analysis) 
  • Lead failure analysis (FA) on units that fail in test or in the field — coordinate with silicon, optics, and mechanical teams to drive root cause and corrective action 
  • Own reliability test fixtures and chamber infrastructure; work with contract labs when internal capacity is constrained 
  • Contribute reliability requirements and DFR (Design for Reliability) input early into new module and PCB designs, alongside the hardware and silicon teams 
  • Maintain test documentation, qualification reports, and traceability suitable for customer and regulatory review 
  • Support functional safety and durability claims for robotics, automotive-adjacent, and industrial deployment environments 

Required Qualifications

  • 3–6 years of experience in hardware reliability engineering, environmental test engineering, or product qualification — ideally on sensors, optics, consumer electronics, or automotive-grade hardware 
  • Hands-on experience running HALT/HASS chambers, vibration tables, and thermal chambers 
  • Working knowledge of reliability statistics: MTBF/MTTF, Weibull analysis, accelerated life testing models (Arrhenius, Coffin-Manson, etc.) 
  • Experience with failure analysis techniques or close partnership with FA labs 
  • Familiarity with relevant standards (e.g., MIL-STD-810, IEC 60068, IPC/JEDEC, ISO 16750, or automotive/industrial equivalents) 
  • Comfort working with optical or MEMS-based sensing hardware, or strong appetite to learn — our modules combine photonics, analog electronics, and custom silicon 
  • Bachelor's or master's degree in mechanical engineering, Electrical Engineering, Materials Science, or a related field 
  • Strong instincts for root-causing ambiguous failures and communicating findings clearly to cross-functional hardware and silicon teams 

Preferred Qualifications

  • Experience testing sensor modules for robotics, AMRs, or autonomous vehicle platforms 
  • Exposure to functional safety processes (ISO 26262 or similar) 
  • Experience working with contract manufacturers or OSAT partners on qualification builds 

Benefits (subject to location and local regulations)

  • Competitive salary and equity 
  • Comprehensive medical, dental, and vision coverage 
  • 401(k) retirement plan 
  • Flexible vacation and time-off policy 
  • Collaborative, fast-paced, and inclusive work environment 
  • Opportunity to work on cutting-edge technologies with a highly cross-functional team 

Similar Jobs

9 Days Ago
In-Office
Sunnyvale, CA, USA
110K-170K Annually
Mid level
110K-170K Annually
Mid level
Artificial Intelligence • Computer Vision • Hardware • Robotics
Owns environmental and durability qualification for sensor modules and custom silicon. Designs and executes HALT/HASS, vibration, shock, thermal, humidity, dust, ingress, and EMI/EMC testing; analyzes reliability data and predicts field life using Weibull and accelerated-life models. Leads failure analysis and corrective action with silicon, optics, and mechanical teams, maintains test infrastructure and documentation, contributes design-for-reliability requirements, and supports functional safety and durability claims.
Top Skills: Accelerated Life TestingAnalog ElectronicsArrhenius ModelsCoffin-Manson ModelsCustom SiliconDust And Ingress TestingEmi/Emc TestingHaltHassHumidity TestingIec 60068-2Ip Rating ValidationIpc/JedecIso 16750Iso 26262MemsMil-Std-810MtbfMttfOptical SensorsPhotonicsThermal ChambersThermal CyclingThermal Shock TestingVibration TestingWeibull Analysis
One Month Ago
In-Office
San Mateo, CA, USA
170K-230K Annually
Senior level
170K-230K Annually
Senior level
Artificial Intelligence • Hardware • Robotics • Software
Lead hardware test and reliability efforts for autonomous drones: define and execute validation strategies from prototype to production, perform failure analysis, drive corrective actions, contribute design-for-reliability, and use telemetry and data (Python/SQL/AI) to develop prognostics and reliability specs.
Top Skills: Ai ModelsPcbaPythonSQL
21 Days Ago
In-Office
100K-200K Annually
Mid level
100K-200K Annually
Mid level
Artificial Intelligence • Robotics
Design, build, and manage hardware test and quality-control infrastructure for robotic systems. Execute mechanical, electrical, and sensor validation, support certifications, develop IQC/OQC processes, monitor fleet reliability (MTBF/MTTR), and lead failure analysis and field maintenance to ensure production readiness and durable deployments.
Top Skills: AqlCanCeCt ScanDepth CameraEmc TestingEmi AnalyzerEthernetFccGmslGpsHaltHassI2CImuIngress Protection Ip54Ingress Protection Ip65IqcIso 26262Iso 9001LidarMil-Std-810MtbfMttrOqcOscilloscopePower MonitorSilThermal TestingUsbVibration TestingX-Ray

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account