Reliability Engineer

Posted Yesterday
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Austin, TX, USA
Hybrid
165K-195K Annually
Senior level
Artificial Intelligence • Hardware • Machine Learning • Semiconductor
The Role
Develop and execute reliability and automotive qualification strategies for next-generation AI silicon. Lead stress testing, reliability modeling, failure analysis, and qualification reporting while partnering with design, test, quality, manufacturing, OSATs, foundries, and external labs. Analyze failure data, identify wear-out mechanisms, improve robustness, and balance reliability, cost, schedule, and qualification timelines.
Summary Generated by Built In

Mythic is building next-generation AI silicon, and we're looking for a hands-on Reliability Engineer to help ensure our chips are qualified, robust, and ready for the environment our customers depend on. Early on, you'll help build out the qualification plan for our next-generation product — a chip that blends analog/mixed-signal circuitry and embedded flash memory, with automotive-grade qualification as a critical part of the bar it needs to clear. This is a hands-on, physical-silicon role — centered on stress testing, failure analysis, and qualification execution rather than software or firmware — and it's a great fit for someone who enjoys taking ambiguous, early-stage problems and turning them into rigorous, repeatable qualification and reliability practices that give the company (and our customers) confidence in the product.

 

What you'll do

  • Build and drive Mythic's reliability and qualification strategy, including the qualification plan for our next-generation product

  • Own automotive-grade qualification planning and execution, including stress testing (e.g., HTOL, HAST, TC, autoclave) and reliability modeling

  • Partner closely with design, test engineering, quality, and manufacturing teams to ensure products meet reliability and qualification requirements

  • Analyze reliability and failure data to identify systematic issues, wear-out mechanisms, and opportunities to improve robustness

  • Work directly with OSATs, foundries, and external test labs to execute qualification and reliability test plans

  • Make informed tradeoffs across reliability margin, qualification timeline, cost, and product schedule

  • Improve infrastructure, documentation, and analytics for reliability tracking and qualification reporting

  • Operate as an individual contributor who is comfortable getting deep into reliability data, failure analysis, and cross-functional execution

What you'll bring

  • 5+ years of experience in semiconductor reliability engineering, qualification engineering, or a related silicon production role

  • Experience taking silicon products through automotive qualification (e.g., AEC-Q100 or similar)

  • Hands-on experience designing and executing reliability stress tests and qualification plans

  • Deep understanding of semiconductor failure mechanisms, wear-out, and reliability modeling

  • Strong debug instincts and data fluency — you know how to find signal in noisy reliability and failure data

  • Experience working cross-functionally with design, test, quality, and manufacturing teams

  • Comfortable operating with urgency, ambiguity, and a high bar for execution

  • Builder mindset: you do not wait for perfect structure — you create it

Skills Required

  • 5+ years of experience in semiconductor reliability engineering, qualification engineering, or a related silicon production role
  • Experience taking silicon products through automotive qualification, such as AEC-Q100 or similar
  • Hands-on experience designing and executing reliability stress tests and qualification plans
  • Deep understanding of semiconductor failure mechanisms, wear-out, and reliability modeling
  • Strong debugging instincts and data fluency for analyzing reliability and failure data
  • Experience working cross-functionally with design, test, quality, and manufacturing teams
  • Ability to operate with urgency and ambiguity while maintaining a high execution standard
  • Builder mindset with the ability to create structure and processes independently
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The Company
HQ: Austin, TX
62 Employees
Year Founded: 2012

What We Do

Mythic develops cutting-edge Analog Processing Units (APUs) utilizing unique analog compute-in-memory technology. This innovative approach aims to deliver highly energy-efficient and cost-effective AI inference solutions. By overcoming the memory bottlenecks inherent in traditional digital architectures, Mythic enables unparalleled performance-per-watt for AI workloads across diverse applications, including data centers, automotive, robotics, and defense industries.

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