Lightmatter Logo

Lightmatter

Reliability Engineer (Hardware)

Posted 6 Days Ago
Be an Early Applicant
In-Office
Mountain View, CA, USA
142K-200K Annually
Senior level
In-Office
Mountain View, CA, USA
142K-200K Annually
Senior level
Design, execute, and analyze reliability tests for photonics and semiconductor products. Develop test plans, perform FMEA and root-cause analysis, model reliability statistically, and drive cross-functional improvements to meet durability and compliance targets.
The summary above was generated by AI

Lightmatter is leading the revolution in AI data center infrastructure, enabling the next giant leaps in human progress. The company invented the world’s first 3D-stacked photonics engine, Passage™, capable of connecting thousands to millions of processors at the speed of light in extreme-scale data centers for the most advanced AI and HPC workloads.

Lightmatter raised $400 million in its Series D round, reaching a valuation of $4.4 billion. We will continue to accelerate the development of data center photonics and grow every department at Lightmatter!

If you're passionate about tackling complex challenges, making an impact, and being an expert in your craft, join our team of brilliant scientists, engineers, and accomplished industry leaders.

Lightmatter is (re)inventing the future of computing with light!

In this role you will be responsible for designing, executing, and analyzing reliability tests to verify product performance, durability, and compliance with standards. You will enable our products to meet or exceed reliability requirements throughout their lifecycle by developing robust test protocols, analyzing failures, and working with cross-functional teams to drive improvements in design and manufacturing processes.

Responsibilities

  • Develop reliability test plans based on product requirements, industry standards, and customer expectations.
  • Execute reliability qualification testing for our highly integrated photonics-based AI platform and our photonics chiplet communication fabric products.
  • Conduct Failure Modes and Effects Analysis (FMEA) to identify and mitigate potential reliability risks in device design and manufacturing.
  • Perform detailed root cause analysis of device failures, and collaborate with cross-functional teams to resolve reliability issues, refine product designs, and improve process robustness.
  • Establish internal reliability guidelines and standards to meet customer requirements and industry benchmarks.
  • Utilize statistical analysis tools to model reliability performance and predict device lifetimes under field conditions.
  • Prepare and present detailed technical reports, including reliability test plans, results, and risk assessments, to internal and external stakeholders.

Qualifications 

  • Bachelor's degree in Electrical Engineering, Computer Engineering or a similar field
  • 5+ years of industry experience working as a Reliability Engineer within the semiconductor and/or photonics industry.
  • Understanding of device and package reliability testing methodologies, including HTOL, HAST, TDDB, HTHH, TC etc.
  • Hands-on experience with failure analysis tools and techniques such as SEM, TEM, FIB, and EMMI etc.
  • Knowledge of device physics, reliability and failure mechanism in Serdes/digital/mixed signal IC’s.
  • Good understanding of packaging failure mechanisms and risks on TSV, solder joints, warpage, metal migrations etc.
  • Familiarity with reliability modeling tools and statistical analysis (e.g., Weibull analysis, Minitab, JMP).

Preferred Qualification:

  • Preferably experienced in semiconductor or photonics device/module testing.
  • Experience with advanced packaging technologies such as flip-chip, wafer-level packaging, or 3D integration.
  • Good statistical data analysis skills to analyze pre vs post reliability data.
  • Excellent communication and presentation skills, with the ability to convey complex reliability concepts to diverse audiences.
  • PhD in Electrical Engineering, Computer Engineering or a similar field , working as a Reliability Engineer for at least 1 year

We offer competitive compensation. The base salary range for this role determined based on location, experience, educational background, and market data.

Salary Range: total compensation goes beyond base salary, it also includes a new hire equity grant, annual performance-based equity, and other rewards that recognize your impact and contribution.
$142,000$200,000 USD
Benefits
  • Comprehensive Health Care Plan (Medical, Dental & Vision)
  • Retirement Savings Matching Program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Generous Time Off (Vacation, Sick & Public Holidays)
  • Paid Family Leave
  • Short Term & Long Term Disability
  • Training & Development
  • Commuter Benefits
  • Flexible, hybrid workplace model
  • Equity grants (applicable to full-time employees)

Benefits eligibility may vary depending on your employment status and location. Lightmatter recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law.

Export Control

Candidates should have capacity to comply with the federally mandated requirements of U.S. export control laws. 

Lightmatter Mountain View, California, USA Office

At Lightmatter, we have a flexible work structure; employees work remotely and work from our physical offices located in Boston, MA, and Mountain View, CA

Similar Jobs

3 Days 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
10 Days Ago
In-Office
100K-160K Annually
Junior
100K-160K Annually
Junior
Aerospace • Other
Investigate and resolve hardware failures for Starshield satellite production, drive root-cause analysis and corrective actions, improve manufacturing/test processes, apply SPC/DOE and PFMEA, support shop-floor continuous improvement and documentation to maximize yield and prevent escapes.
Top Skills: CControl PlansDesign Of ExperimentsLeanMeasurement Systems AnalysisPfmeaPythonSQLStatistical Process Control
15 Days Ago
In-Office
Mountain View, CA, USA
181K-262K Annually
Senior level
181K-262K Annually
Senior level
Automotive
Lead hardware reliability testing and validation for automotive power and compute systems. Develop and run stress, environmental, and failure-mode tests; analyze failures, drive root-cause and corrective actions, report findings, and mentor reliability engineers while collaborating with cross-functional teams to improve hardware design and meet automotive reliability standards.
Top Skills: 5-Why8DDfmeaEcuFishboneHaltHassJmpPpapPythonWeibull++

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