As we scale production and build next-generation near-sensor ambient computing systems, reliability in mixed-signal processing pipelines will be a key differentiator. We are looking for a Staff Reliability Engineer who will play a central role in establishing and executing a company-wide reliability analysis framework for mixed-signal systems – a core requirement in our always-on, low-power computing architecture.

• Develop and implement a reliability analysis framework across the full mixed-signal stack.
• Simulate and evaluate how various algorithms perform under mixed-signal reliability constraints.
• Update and extend models within the Archsim framework to simulate pipeline behavior.
• Collaborate with cross-functional teams to ensure Design for Manufacturability (DFM) principles are applied in reliability-critical areas.
• Assess algorithmic implications on mixed-signal reliability, including how KPIs are affected by algorithm and hardware design choices.
• Develop bottom-up models of hardware architectures with a focus on benchmarking reliability.
• Enable accurate estimation of failure risks and inform design improvements.Collaborate across disciplines, including SDK and algorithm teams, to integrate reliability into the full product development lifecycle.
• Support continuous improvement of production yield and system-level MTBF.

• Strong background in mixed-signal systems, reliability engineering, or DFM.
• Experience with reliability simulation models and metrics such as MTBF.
• Proficiency in hardware modeling and architectural benchmarking.
• Ability to analyze testhouse and calibration data effectively.
• Familiarity with algorithms–hardware interactions, especially related to reliability trade-offs.
• Experience designing and updating models within simulation frameworks (e.g., Archsim).

• Understanding of low-power, always-on systems.
• Experience in bare-metal embedded systems.
• Exposure to Assembly-level development.
• Experience collaborating across SDK, algorithm, or hardware/software co-design environments.
• Background in yield optimization or semiconductor production.

• Ability to work effectively with cross-functional teams to drive innovative solutions.
• Strong communication skills with the ability to convey complex ideas clearly.
• Positive attitude and ability to bring a sense of humor and optimism to the workplace.
• Flexibility and ability to embrace new challenges and opportunities as they arise.
• Curious and innovative mindset. You think outside the box, bringing fresh ideas and solutions, and aren't afraid to challenge conventions.

At Innatera, you'll be part of a team shaping the future of AI hardware. Your work will help create solutions that power intelligent devices, improving industries and empowering everyday life - from healthcare to consumer electronics.

Our culture of technical excellence, collaboration, and real-world impact provides a unique opportunity to work alongside disruptive innovators, talented engineers, researchers and specialists.

As part of our team, we recognize that your expertise and dedication are invaluable. To ensure your success and well-being, we offer a comprehensive benefits package:

• Competitive salary.

• Ambitious team with the freedom to innovate.

• A flexible working environment (work-from-home policy, flexible working hours).

• An inclusive company culture that embraces open communication, and diversity and supports holistic personal development.