Device Reliability Engineer
Mythic
Device Reliability Engineer
Mythic
Power-efficient edge AI processors for inference
Salary Range: 165000 to 195000 (Currency: USD) (Pay period: per-year-salary)
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.
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
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
At Mythic, we foster a collaborative and respectful environment where people can do their best work. We hire smart, capable individuals, provide the tools and support they need, and trust them to deliver. Our team brings a wide range of experiences and perspectives, which we see as a strength in solving hard problems together. We value professionalism, creativity, and integrity, and strive to make Mythic a place where every employee feels they belong and can contribute meaningfully.
Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law.
Mythic designs power-efficient AI hardware for edge deployments. Its main products are the M1076 Analog Matrix Processor, a single-chip accelerator that can run at up to 25 TOPS, and the MP10304 Quad AMP PCIe card, which adds more performance for AI inference on edge devices and servers. The hardware uses analog matrix processing to perform AI computations with low energy usage, enabling high-performance inference in real-world environments without relying on cloud servers. Mythic targets customers that need strong AI performance with tight power budgets, such as tech companies and other businesses with heavy data-processing needs. Compared with typical AI accelerators, Mythic emphasizes analog computation and edge efficiency, offering a compact single-chip solution plus an expansion PCIe card to scale performance. The company's goal is to make high-performance AI inference practical at the edge by delivering power-efficient processors and modules for edge devices and servers.
Explore more opportunities at Mythic