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Phd Reliability Engineering Jobs (NOW HIRING)

EVgo

Senior Reliability Engineer

Los Angeles, CA

$108K - $135K/yr

... PhD without experience; or equivalent work experience. Desired Skills : * Strong knowledge of reliability engineering principles, life data analysis, and product failure mechanisms. * Experience ...

EVgo

Senior Reliability Engineer

Fremont, CA

$108K - $135K/yr

... PhD without experience; or equivalent work experience. Desired Skills : * Strong knowledge of reliability engineering principles, life data analysis, and product failure mechanisms. * Experience ...

GlobalFoundries

SiPh Reliability Enginner

New York, NY · On-site

$85K - $146K/yr

Reliability Engineering Opportunity: Position description As a Reliability Engineer working in SiPh ... years PhD + 1-2 year Expected Salary Range $85,000.00 - $146,000.00 The exact Salary will be ...

Coherent

Sr. Reliability Engineer

Fremont, CA · On-site +1

MSc / PhD in NPI, Reliability and Product Engineering, * 3+ years of experience in reliability engineering * Knowledge of Telcordia or other performance and reliability standards, reliability ...

Coherent Corp.

Sr. Reliability Engineer

Fremont, CA · On-site

MSc / PhD in NPI, Reliability and Product Engineering, * 3+ years of experience in reliability engineering * Knowledge of Telcordia or other performance and reliability standards, reliability ...

Google

Site Reliability Manager, Ads

Kirkland, WA · On-site

$64.75 - $86/hr

Master's degree or PhD in Computer Science or Engineering. * 1 year of experience in a people management role. About the job Site Reliability Engineering (SRE) combines software and systems ...

Apple

Operations Reliability Engineer

Cupertino, CA · On-site

$147K - $272K/yr

Willingness and ability to travel internally up to 20% Preferred Qualifications MS/PhD in Engineering (Mechanical, Electrical, Reliability, Materials, Optical, Industrial or similar) Strong ...

Samsung Electronics

BEOL Reliability Engineer

Austin, TX · On-site

$70K - $212K/yr

BA/MS/Phd in Material, Electrical, or Mechanical Engineering. * Strong problem-solving skill, solid knowledge of reliability failure mechanisms and underlying physics and statistical analysis. In ...

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How much do phd reliability engineering jobs pay per year?

As of Jun 4, 2026, the average yearly pay for phd reliability engineering in the United States is $117,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Reliability Engineer, and why are they important?

To thrive as a PhD Reliability Engineer, you need advanced knowledge in reliability analysis, statistical modeling, and failure analysis, typically supported by a doctorate in reliability, mechanical, or electrical engineering. Expertise in reliability software (such as Weibull++, ReliaSoft, or MATLAB), data analysis tools, and familiarity with industry standards like FMEA or Six Sigma is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with multidisciplinary teams and present complex findings clearly. These skills are crucial for developing reliable systems, reducing risk, and ensuring product safety and longevity in highly technical industries.

What are some common challenges faced by PhD-level Reliability Engineers in cross-functional project teams?

PhD Reliability Engineers often encounter challenges such as bridging the communication gap between technical and non-technical team members, especially when translating complex reliability data into actionable insights for design or production teams. They also frequently balance multiple priorities, including research, testing, and documentation, while ensuring that reliability standards are met throughout the product lifecycle. Collaboration with stakeholders from diverse backgrounds requires strong interpersonal skills and adaptability to align differing objectives toward a common goal.

What is a PhD in Reliability Engineering?

A PhD in Reliability Engineering is a doctoral degree focused on the study and improvement of the reliability, safety, and performance of systems, components, and processes. Students in this program conduct in-depth research on topics such as failure analysis, risk assessment, maintenance optimization, and system dependability. Graduates are prepared for advanced careers in academia, research, and industry, where they address complex engineering problems to ensure that products and systems perform reliably over their intended lifespans.

What is the difference between Phd Reliability Engineering vs Reliability Engineer?

AspectPhd Reliability EngineeringReliability Engineer
Required CredentialsPhD in Engineering or related field, specialized training in reliabilityBachelor's or Master's in Engineering, certifications like CRE often preferred
Work EnvironmentResearch-focused, academic or advanced industry R&D settingsIndustrial, manufacturing, or engineering teams in various industries
Employer & Industry UsageUniversities, research institutions, R&D departments of corporationsManufacturing, aerospace, automotive, energy sectors

While a Phd Reliability Engineering involves advanced research and theoretical development in reliability concepts, a Reliability Engineer applies practical reliability principles to improve product and system performance in industry settings. Both roles require a strong understanding of reliability, but the PhD role emphasizes research and innovation, whereas the Reliability Engineer focuses on implementation and operational reliability.

Infographic showing various Phd Reliability Engineering job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 1% As Needed, 65% Full Time, 9% Part Time, 1% Temporary, and 21% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $117,973 per year, or $56.7 per hour.
Senior Reliability Engineer

Senior Reliability Engineer

EVgo

Los Angeles, CA

$108K - $135K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Job description

About EVgo: 
 
EVgo (Nasdaq: EVGO) is one of the nation’s largest public fast charging networks for electric vehicles. Our mission is to expedite the mass adoption of electric vehicles (EVs) by creating a convenient, reliable, and affordable EV charging network that delivers fast charging to everyone. EVgo’s owned and operated charging network is growing rapidly. We partner with multiple stakeholders including automakers; fleet and rideshare operators; retail hosts such as grocery stores, shopping centers, restaurants, gas stations, and more to make our vision of Electric for All a reality. The EV industry is one of the fastest growing industries in the country. Join us as we charge forward into an all-electric future. Software is an integral part in realizing this vision and we are hiring a software manager to play a leadership role shaping our future. 
 
Position Summary: 
 
We are seeking a Senior Reliability Engineer for an onsite position in El Segundo, CA, to evaluate, predict, and enhance product reliability through statistical analysis, reliability modeling, and testing. The role involves life data analysis, reliability risk assessment, system-level modeling, and collaboration with cross-functional teams to ensure products meet performance and reliability targets throughout the development lifecycle. The ideal candidate will have a strong background in reliability statistics and Weibull analysis, reliability testing (ALT/HALT/HASS), failure analysis and risk methods (FMEA/FTA), and data analysis using reliability tools. 
 
Responsibilities:  
  • Perform life data analysis using the Weibull distribution to evaluate product reliability and predict failure behavior. 
  • Analyze time-to-failure data from laboratory testing, accelerated life testing (ALT), HALT, HASS, and field returns to identify reliability trends and failure patterns. 
  • Develop reliability models, perform system-level reliability assessments, and apply reliability growth methodologies to track and improve product performance. 
  • Conduct reliability risk assessments using Failure Mode and Effects Analysis, DFMEA, and Fault Tree Analysis to identify potential failure modes and mitigation strategies. 
  • Lead root cause investigations and failure analysis for anomalies identified during testing or field performance. 
  • Clean, organize, and analyze reliability datasets, generate metrics (MTBF, MTTF, B10 life), and communicate insights to engineering teams and management. 
  • Collaborate with design, quality, and manufacturing teams to improve product reliability throughout the development lifecycle. 

Qualifications:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience.
Desired Skills:
  • Strong knowledge of reliability engineering principles, life data analysis, and product failure mechanisms. 
  • Experience performing Weibull analysis and applying statistical distributions such as Weibull distribution, exponential, and lognormal. 
  • Experience with reliability risk assessment methods (FMEA, DFMEA, FTA) and executing reliability testing including ALT, HALT, and HASS. 
  • Strong statistical analysis and data interpretation skills with experience analyzing time-to-failure datasets and reliability metrics. 
  • Experience with reliability and statistical software tools such as ReliaSoft Weibull++, Ansys Sherlock, Minitab, and programming/analytical tools such as Python, R, or MATLAB. 
  • Strong analytical, problem-solving, organizational, and communication skills with the ability to present technical findings and reliability insights to cross-functional teams and management. 
  • Strong analytical and problem-solving skills with the ability to interpret complex reliability and statistical data. 
  • Detail-oriented and methodical, able to identify patterns, anomalies, and failure trends in datasets. 
  • Excellent technical communication skills, capable of presenting reliability findings, risks, and recommendations clearly to cross-functional teams. 
  • Collaborative mindset, working effectively with design, quality, manufacturing, and test engineering teams. 
  • Proactive and data-driven, able to identify potential reliability risks early in the product lifecycle and recommend mitigation strategies. 
  • Organized and able to manage multiple reliability assessments, testing activities, and projects simultaneously. 
  • Continuous learner, staying updated on emerging reliability engineering methods, statistical techniques, and analytical tools. 
For job positions in CA, CO, and NYC, the estimated salary range for a new hire in this position is $108,500.00 USD to $135,600.00 USD. Actual salary may vary depending on job-related factors, including knowledge, skills, experience, and location. In addition to a competitive base salary, discretionary target cash bonus, and restricted stock units (subject to Board Approval). EVgo offers a comprehensive benefits package including health, life, and disability insurance, unbounded paid time off including parental leave, and a 401(k). 
Employment Type: Full-Time

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