Atomic Machines is ushering in a new era in micromanufacturing with its Matter Compiler (MC) technology. The MC enables new classes of micromachines to be designed and built by offering manufacturing processes and a materials library that is inaccessible to semiconductor manufacturing methods. The MC promises to unlock MEMS manufacturing both for the many device classes that never could be made by semiconductor methods but also to open up entirely new classes. Furthermore, the MC is fully digital in the way 3D printing is digital, but where 3D printing produces parts of a single material using a single process, the MC is a multi-process, multi-material technology: bits and raw materials go in and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device – one that was only made possible by the existence of the Matter Compiler – that we will be unveiling to the world soon.
Our offices are in Emeryville and Santa Clara, California.
About this Role:
We are seeking a technical leader to play a pivotal role in shaping the future of our manufacturing processes, from R&D through to scaled production. This role bridges advanced microfabrication with modern data systems, transforming analog, physical processes into structured, digital process frameworks for adaptive control. In this capacity, you will lead the digitization and optimization of a comprehensive library of microfabrication processes, standardizing their key functional, logical, and implementation descriptions.
You will directly influence the integration and optimization of complex device fabrication processes, while also contributing to the development of digital tools that enable real-time, data-driven decision-making. Leveraging your deep expertise in process control and advanced data analytics, you will drive the development of adaptive, deterministic process control methods, redefining conventional paradigms and enabling breakthroughs in process performance. By partnering closely with cross-functional teams — including Product, Design, AI/ML, Systems Engineering, and Manufacturing — you will stand up robust process control systems that enhance efficiency, quality, and innovation. Additionally, you will champion continuous improvement initiatives, fostering the evolution of process maturity and advancing our mission to revolutionize manufacturing using our digital autonomous platform.This position is full-time and is located in our Emeryville location, reporting to the Director of Process Engineering.
What You’ll Do:
- Develop adaptive process control frameworks for high-mix, high-volume production, utilizing advanced analytics to drive next-generation control strategies.
- Work hands-on to develop, optimize, and document device microfabrication processes — including additive (e.g., sputtering, electroplating), subtractive (e.g., laser machining, chemical etching), and assembly (e.g., heterogenous integration, bonding) techniques.
- Lead PFMEA activities for critical process flows; support DFMEA and integrated device/process failure analyses to drive both design and manufacturing robustness.
- Develop process maturity matrices, process graphs, and process libraries, ensuring effective management of the complexity, risk, and evolution from R&D to manufacturing.
- Develop and deploy process monitoring and health indicator systems to enable closed-loop learning and data-driven process management.
- Contribute to developing a manufacturing execution system (MES) and other digital tools that enable real-time tracking of in-process materials and data, as part of the Matter Compiler’s integrated control system.
- Drive structured root cause investigations to eliminate defects and unlock continuous improvement in both process performance and product quality.
- Partner cross-functionally with Design, AI/ML, Systems Engineering, and Manufacturing teams to establish process control excellence throughout the product lifecycle.
- Mentor, guide, and contribute to the growth and hiring of cross-functional teams.
What You’ll Need:
- A graduate degree (M.S. or Ph.D.) in Chemical Engineering, Mechanical Engineering, Systems Engineering, Industrial Operations Engineering, or a related field, and 15+ years of industry experience are required.
- Deep proficiency in statistical process control (SPC) and trend analysis, with fluency in tools like JMP, Minitab, SAS, or Python-based analytics.
- Expertise in process design, optimization, and risk management, including mastery of DOE, FMEA/PFMEA, and root cause analysis methods.
- Hands-on experience with microfabrication processes (e.g., vacuum deposition, chemical plating, electropolishing, patterning, bonding) and characterization techniques (e.g., profilometry, CMM, SEM/EDS, XRF, X-ray CT).
- Strong foundation in materials, chemistry, and advanced microfabrication processes, including those inspired by or diverging from traditional semiconductor manufacturing.
- Exceptional communication and leadership skills, with a passion for mentorship, team building, and organizational scaling.
- Familiarity with AI/ML-enabled manufacturing and comfort collaborating with AI and software development teams is a plus.
- Experience with modeling tools for designing complex processes, such as Unified Modeling Language (UML) and/or Model-Based Systems Engineering (MBSE), is a plus.
- Certification in Six Sigma, Lean Manufacturing, Kaizen, or comparable operational excellence frameworks is a plus.
$180,000 - $250,000 a yearThe compensation for this position also includes equity and benefits.Apply for this job
