Skip to content
Amperesand

Hardware Reliability Engineer

San Francisco, California, United States; Sunnyvale, California, United States; San Francisco (SF); SunnyvaleUnited States
Reliability
POSTED 21 APRVERIFIED 7H AGO
Apply Ask
Role
202 days opentrue age
Posted 21 Apr
Payats field
$130k–170kposted
▼ −25% vs market median $200k
$130k$239k
Market p25–p75
$161k–$239k
Amperesand p25–p75
$158k–$200kn=12
H-1B median · Software engineering
$140k
SF Bay Area · n=1752 · 365d to 6 Nov
CompanyAmperesand →
45open roles
Opened · 30d
+0
Closed · 30d
−0
9d of snapshots · 30d window
Market
37,613open · Software engineering
Opened · 7d
+2,1076% of open
All software engineering
75,152open
All tracked boards · live 10 Nov · n=37,613
Visa
19H-1B LCAs · FY26
Median wage
$145k
LCAs FY26 · n=19 · to 2026-06-24
Python

Company Overview

Amperesand is reinventing how the world powers its most critical systems.

We are facing a once-in-a-generation opportunity for infrastructure disruption. Electricity demand is skyrocketing, driven by AI factories, electric vehicles, and modern industrial growth. Energy supply is shifting to incorporate a more diverse mix of resources – including solar, gas, and batteries – at a massive scale.

And yet the power infrastructure behind our latest mega-projects hasn’t meaningfully changed in nearly 100 years. Supply chains for today’s infrastructure equipment can’t match the pace and sophistication of critical energy projects. Amperesand is building hardware and software that rewrites this broken power infrastructure playbook to support a new era of energy abundance.

We’ve built a new class of intelligent, software-defined power infrastructure products leveraging a decade of advanced medium voltage Solid State Transformer research that’s now ready for commercial deployment.

Our products and solutions go far beyond the capabilities of traditional electrical equipment. We make power systems that are faster to deploy, dramatically smaller and more efficient, and capable of supporting modern, dynamic energy needs for tomorrow’s most demanding energy consumers.

Scalable in-house advanced manufacturing capability is our foundation for meeting timeline and quality expectation to serve infrastructure customers around the world.

Amperesand is led by breakthrough energy hardware development veterans and funded by top tier investors who share our vision of building a category-defining energy technology company.

With hubs in San Francisco, Reno, and Singapore, our global team is laser focused on building foundational technology to solve the most pressing problems in power infrastructure at scale.

Join us in building the power foundation of the future!

About the Role

In this role, you will drive end-to-end reliability for our Solid-State Transformer (SST) platform, from concept to field deployment. You will lead cross-functional teams to mitigate program risks via Failure Mode and Effects Analysis (DFMEA)/Fault Tree analysis (FTA) and set clear reliability benchmarks for supplier selection. By developing advanced Physics-of-failure (PoF) modeling and performing expert-level RCA, you will ensure our hardware meets the demanding lifetime required for modern energy infrastructure.

What You'll Do

  • Assist in the setup and execution of reliability test plans for SST’s (solid state transformer), including thermal mapping and accelerated life testing.
  • Utilize statistical methods to analyze test data, identifying trends in component or system-level failures.
  • Participate in DFMEA sessions, helping to document risks and track mitigation actions.
  • Perform initial root-cause analysis on failed components using lab equipment (microscopes, X-ray, etc.) and coordinate with senior engineers on complex investigations.
  • Assist in building reliability block diagrams and basic PoF models to predict product lifetime.
  • Work closely with the Design and Manufacturing teams to communicate test results and ensure reliability targets are met.
  • Maintain detailed records of test procedures, lab results, and reliability reports for key milestones.
  • Ability to travel occasionally to different facilities to support hardware deployment and testing.

What You'll Bring

  • Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering.
  • Strong understanding of hardware reliability or circuit analysis.
  • Basic familiarity with reliability statistics (Weibull distribution, MTBF) and a desire to master advanced Bayesian and Monte Carlo methods.
  • Comfortable working in a high-voltage lab environment; experience with basic diagnostic tools (Oscilloscopes, Multimeters).
  • Interest in learning reliability tools such as ReliaSoft (Weibull++, ALTA) or simulation software like Ansys Sherlock.
  • Nice to have proficiency in Python, MATLAB, or R for data processing and automation.
Source · AmperesandFirst seen 2 Nov1 editsOriginal ↗