Modeling and Simulation Systems Engineer

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 Berkeley and Santa Clara, California.

About this role:

We are looking for a talented and seasoned Modeling and Simulation Engineer to join as a key member of the Systems Engineering department to help us establish strong foundations for successfully attaining the long-term goals of our company, by successfully creating digital twins and models of our distributed robotic systems.  The ideal candidate is also experienced in simulation and modeling techniques, robotics, applied physics, mechatronics and computer science.  Atomic Machines is on a rapid growth trajectory. We are developing the foundational architecture for our automated manufacturing platform, which uses robotics as a key building block. This role has the opportunity to be a driving force in the development of Systems Engineering practices and adoption at Atomic Machines and will have a major influence in system definition, development and implementation. This role is based in Santa Clara or Berkeley.

What You'll Do:

• Collaborate with cross-functional design teams to conceptualize and refine low-level design concepts, and establish operational models
• Develop and maintain software system models and simulation tools to create digital twin prototypes to guide development roadmaps and evaluate key design decisions
• Design and develop visualization, API’s to enable cross-functional teams use models in a variety of applications
• Create algorithmic optimization tools across process, hardware, and software to evaluate complex design scenarios
• Run and document key system-of-systems, subsystem simulations to guide hardware development, trade analysis for robotic and mechatronic designs
• Define, analyze, and develop essential requirements for the Atomic Machines system.
• Identify and mitigate latent risks across the system early and effectively
• Engage in problem-solving for complex, multi-subsystem issues in a dynamic startup environment

What You'll Need:

• Experience: 3+ years writing software tools in a production environment and 3+ years of experience working on complex electromechanical systems
• Technical Skills: High degree of proficiency in Python or Julia, familiarity with C/C++, and experience with software tools like Git
• Knowledge: Strong grasp of math and physics, engineering principles, mechanical aptitude, and manufacturing experience. Familiarity with digital twin creation via discrete event simulation tools, optimization algorithms and frameworks.  Familiarity with tools such as OR-Tools, Pyomo, Simpy, Modelica, Anylogic
• Attributes: Creativity, problem-solving skills, ownership of projects, willingness to learn quickly, and ability to work autonomously in ambiguous situations
• Documentation: Ability to communicate clearly and professionally
• Culture Fit: Productive participation in scrum meetings, driving clarity and alignment, and influencing cross-disciplinary teams
• Education: BS in Software Engineering, Electrical Engineering, Mechanical Engineering, Data Science, Physics, Systems Engineering, or a related field

Bonus points for:

• Experience with 2D or 3D visualization tools