Battery Reliability Engineer

Apple

San Diego (CA)

On-site

USD 100,000 - 135,000

Full time

14 days+

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Job summary

Apple is looking for a Battery Reliability Engineer to enhance product dependability through cutting-edge battery technology. You will work with design teams, identify failure modes, and develop robust solutions before production.

This role requires a degree in a technical field with significant industry experience. Ideal candidates have hands-on lab experience and strong analytical skills, making impactful contributions to cross-functional projects at Apple.

Qualifications

  • 3+ years of relevant industry experience.
  • Demonstrated hands-on laboratory experience with failure root cause analysis.
  • Ability to synthesize data from multiple sources.

Responsibilities

  • Identify potential failure modes and prevention opportunities through in-depth FMEA.
  • Engage with battery suppliers to ensure high-quality reliability testing.
  • Deliver precise failure analysis and actionable engineering direction.

Skills

Statistical data analysis
Failure Mode and Effects Analysis (FMEA)
Reliability prediction modeling
Electrochemistry
Microscopy and spectroscopy

Education

Bachelor's degree in Engineering, Physics, Chemistry, or related field
M.S. or Ph.D. in relevant discipline

Tools

JMP
Weibull++

Job description

Overview

Are you a deeply curious technologist driven by hard problems and meaningful impact? Apple's Battery Module Reliability Group is seeking an exceptional engineer to help shape the dependability of the very products millions of people rely on every day. In this role, you'll be at the forefront of battery technology — partnering with world-class design teams to anticipate failure before it happens, push the boundaries of stress testing methodology, and champion the enduring quality our customers expect from Apple. If you thrive at the intersection of rigorous science and real-world product impact, we want to hear from you.

As a Battery Reliability Engineer, you will be a critical voice in the product development lifecycle — identifying high-risk failure modes early and driving design teams toward robust, reliable solutions before they reach battery production. You will pioneer new stress conditions grounded in physics-of-failure principles and authentic use-case modeling, then translate those insights into the equipment infrastructure and specifications needed to validate product reliability at scale.

Responsibilities
  • Identify potential failure modes and prevention opportunities from design and process control standpoints through in depth FMEA
  • Engage directly with battery suppliers to ensure that reliability testings are executed with high standards
  • Working with the cross functional team to deliver sharp failure analysis, constructing clear design guidance, and connecting root cause findings to actionable engineering direction
  • Build trusted relationships across disciplines, communicate with precision, and operate with both scientific rigor and product intuition
Qualifications
  • Bachelor's degree in a technical discipline (Engineering, Physics, Chemistry, or related field) with 3+ years of relevant industry experience
  • Strong foundational knowledge of the physics governing material and device behavior — spanning mechanical, electrical, and chemical domains
  • Demonstrated hands‑on laboratory experience with a track record of systematically uncovering failure root causes
  • Proficiency in statistical data analysis, paired with the ability to distill complex findings into clear, actionable insights for cross‑functional audiences
  • Proven ability to synthesize data from multiple sources to identify root cause and champion corrective action
  • Ability to travel internationally without restriction (up to 10%)
  • M.S. or Ph.D. in Materials Science, Chemistry, Physics, Mechanical Engineering, Electrical Engineering, Chemical Engineering, or an equivalent discipline
  • 5+ years of engineering experience in reliability, failure analysis, or related fields
  • Working knowledge of electrochemistry and lithium‑ion battery technology
  • Experience with statistical analysis platforms such as JMP or Weibull++
  • Hands‑on experience with Failure Mode and Effects Analysis (FMEA) and reliability prediction modeling
  • Proficiency with failure analysis and materials characterization techniques — including microscopy and spectroscopy — and the ability to leverage these tools to establish definitive root cause conclusions
  • A collaborative, solutions‑oriented mindset with a strong record of effective cross‑functional partnership
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