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 not only promises to unlock MEMS manufacturing 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 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 The Role:
We are seeking a seasoned DevOps engineer to join our innovative software team. As a Staff DevOps Engineer, you will play a pivotal role in designing, implementing, and maintaining our infrastructure and deployment pipelines. You’ll work closely with software and firmware development and operations teams to streamline processes, improve system reliability, and enhance scalability. Your expertise will guide the adoption of best practices and innovative solutions to ensure the continuous delivery of high-quality software.
What You'll Need:
- Expertise in DevOps
- Proficiency in Git, GitLab, and Jenkins
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)
- Advanced knowledge of scripting languages (e.g., Python, Bash)
- Thorough understanding of the Linux OS
- Familiarity with infrastructure-as-code tools (e.g., Terraform, CloudFormation, Ansible, Kubernetes)
- Experience with cloud services and on-prem environments, preferably embedded
- Knowledge of Computer Systems
- Understanding of how computers work, including various processors and computing environments (Linux, FreeRTOS, bare metal)
- Strong fundamentals that build system context and enable broad contributions
- Undergraduate-level knowledge of: (Operating systems, Databases, Networks, Systems security, Concurrency & execution models, and Computer architecture)
- Experience with system design
- Experience designing, building, and shipping complex distributed software systems that control hardware in sophisticated ways
- High-level understanding of the Software Development Life Cycle (SDLC)
- 10+ years of industry experience
- B.S. in Computer Science or related field
- Bonus: Experience with machine learning approaches and model training processes
- Exposure to Large Language Models (LLMs)
Our Technology Stack:Languages:
C / C++: For embedded, real-time, and performance-critical systems Go: For concurrent, networked application software Python: For robotics, computer vision, AI/ML, and scientific computing
Deployment Targets: Dockerized, general-purpose Linux application services (Cloud or On-Prem)
$170,000 - $230,000 a year
The compensation for this position includes equity and benefits.
