Staff Systems Engineer

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology. This full-stack technology 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. It promises to unlock MEMS manufacturing for the many device classes frustrated by semiconductor methods and to open up entirely new product classes. The Matter Compiler™ technology fully realizes the digital manufacturing dream: 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™ technology – that we will be unveiling to the world soon.

 

Our offices are in Emeryville and Santa Clara, California.

About This Role:

As a Staff Systems Engineer at Atomic Machines, you will be at the forefront of developing novel manufacturing hardware. You will collaborate with hardware development teams, electrical engineering teams, and our core platform infrastructure developers to specify and develop new software that connects our platform software architecture with new manufacturing hardware. This position offers opportunities for growth in leadership, technical expertise, and interdisciplinary engineering experience as Atomic Machines continues on its rapid growth trajectory.

What You’ll Do:

• Rapidly learn the software and hardware architecture of our system, staying up-to-date with complex electromechanical and software system designs at multiple levels.  
• Work with process, device, and mechanical designers to understand the intended function of all projects. Drive architectural decisions and overall system designs via system analysis and decomposition.
• Work with the Platform Software Team to understand the AMP system and software architecture.
• Work with the Node Design Teams to understand platform features needed to integrate into our overall platform.
• Work with cross-functional teams to develop key system performance requirements, interface contracts as well as validation of designs against said requirements.
• Develop general-use software for systems analysis for development teams to speed system simulation, analysis, and development roadmap creation.
• Develop and maintain system models to aid in key design decision-making and also for use in digital twin creation of large distributed systems.
• Works with requirement management software and modeling software (E.G. Jama, DOORS, Siemens Polarion, Cameo, etc).
• Expand company best practices for system analysis via training and process creation.

This role may be based out of either office location, Emeryville or Santa Clara, California.

What You’ll Need:

• A first-principles mindset — you question assumptions, break problems down to fundamentals, and prefer root-cause solutions over pattern-matching.
• A broad understanding of hardware (mechatronics, optics, dynamics, custom electronics, sensors, actuators, etc.), as well as experience with software systems for controls, communication, signal processing, scheduling, and more.
• Have architected platform systems with high levels of interdependency and complexity.
• Experience relating to mechatronic testing plans to advise teams, including DAQs, load cells, torque transducers, pressure transducers, thermocouples, strain gauges, and others.
• Strong expertise with hardware verification, risk assessments, sensitivity analysis, gap analysis, training other technical staff as needed for aforementioned tools.
• Experience accelerating development cycles measurably with systems tools.
• Excellent written and verbal communication skills.
• Strong experience with text-based modeling tools and languages such as UML, SysML.
• Experience programming in Python.
• Experience with network APIs, such as gRPC, REST, or similar.
• 7+ years of experience developing robotic systems, leading/representing the Systems role on large, complex systems.
• A Bachelor’s degree in Software Engineering, Electrical Engineering, Mechanical Engineering, or a similar field, or equivalent relevant industry work experience.