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Trainee Hardware Reliability Engineer Jobs (NOW HIRING)

Hardware Reliability Engineer

Reno, NV

$102K - $128K/yr

Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering. * Strong understanding of hardware reliability or circuit analysis. * Basic familiarity ...

The Role As our Hardware Reliability Engineer, you will be the person who makes sure our products don't just work in the lab -- they work on real humans, in real conditions, for a long time. You will ...

The Role As our Hardware Reliability Engineer, you will be the person who makes sure our products don't just work in the lab -- they work on real humans, in real conditions, for a long time. You will ...

Hardware Reliability Engineer

Reno, NV · On-site

$115K - $160K/yr

Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, or Reliability Engineering. * Strong understanding of hardware reliability or circuit analysis. * Basic familiarity ...

As an Electrical Hardware Reliability Engineer, you will bring your hands‑on experience in RF, digital, analog, and/or power circuit problem‑solving to identify and resolve our most complex ...

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How much do trainee hardware reliability engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for trainee hardware reliability engineer in the United States is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $54.81 and $72.84 per hour, depending on experience, location, and employer.

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Infographic showing various Trainee Hardware Reliability Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $132,583 per year, or $63.7 per hour.

Hardware Reliability Engineer

Amperesand

Reno, NV

$102K - $128K/yr

Full-time

Re-posted 3 days ago


Job description

Role Summary
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. 

Responsibilities: 

  • 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. 

Qualifications: 

  • 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. 
  • Excellent written and verbal skills; ability to translate complex data into clear, actionable updates for the team. 
  • A "first principles" thinker who is eager to learn and thrives in a fast-paced hardware startup environment. 

Please note:This role requires working on-site 5 days a week. We do not offer hybrid or remote options.Â