Architect and implement software infrastructure that coordinates precision manufacturing equipment, robotics, embedded controllers, and cloud services. Define interfaces, develop APIs and distributed services, build automated testing, simulation, and CI/CD pipelines, perform system integration and validation, drive performance and reliability improvements, and lead cross-boundary debugging, FMEA, and root-cause analysis.
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 Software Systems Engineer at Atomic Machines, you will architect and develop the software infrastructure that coordinates precision manufacturing equipment, distributed control systems, and robotic platforms. You will define software system architecture while also implementing critical software components, integration tools, and validation infrastructure.
This role combines high-level systems engineering with hands-on software development and testing to ensure robust deployment of complex manufacturing systems.
This role may be based out of either office location, Emeryville or Santa Clara, California.
What You’ll Do:- Develop a deep understanding of Atomic Machines' distributed platform architecture.
- Own software system architecture spanning embedded systems, controls, cloud services, and manufacturing applications.
- Define software interfaces between platform services, robotics, and hardware.
- Execute software design and implementation for critical infrastructure.
- Develop APIs, communication protocols, and distributed services.
- Build automated testing, simulation, and integration tools.
- Design and execute software validation and system integration testing.
- Drive software performance analysis, latency analysis, synchronization, and reliability improvements.
- Lead system debugging across hardware and software boundaries.
- Define system validation strategies and verification methodologies.
- Drive FMEA, trade studies, and root cause investigations.
- First-principles systems mindset.
- Strong software architecture experience.
- Extensive Python development experience.
- Experience with C++, Rust, or Go preferred.
- Experience with distributed systems and networking.
- Experience with gRPC, REST APIs, messaging systems, and IPC.
- Experience integrating software with robotics and industrial hardware.
- Experience developing automated testing infrastructure.
- Familiarity with embedded systems and real-time software.
- Experience with simulation, CI/CD, and software verification.
- 7+ years building complex software systems.
- BS/MS in Computer Engineering, Software Engineering, Computer Science, or equivalent.
The compensation for this position also includes equity and benefits.
Salary Range
$170,000—$215,000 USD
Atomic Machines Berkeley, California, USA Office
950 Gilman Street , Suite 800, , Berkeley, CA, United States, 94710
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and productionize agentic AI systems and infrastructure (agent orchestration, sandboxed execution, latency optimization, memory, multimodal I/O), collaborate with ML and product teams, mentor engineers, and drive roadmap and scalable platform improvements.
Top Skills:
GoJavaLlmsmacOSOpenaiPython
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and productionize agentic AI systems and infrastructure (agent orchestration, sandboxed execution, memory, knowledge graphs, multimodal I/O). Implement frontier AI algorithms, optimize latency, collaborate across ML, security, product, and mentor engineers to deliver reliable enterprise AI at scale.
Top Skills:
GoJavaLlmsOpenaiPython
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and own distributed runtime infrastructure for agentic AI: session orchestration, lease-based distributed session management, event-driven pipelines, structured concurrency, observability, caching and state layers to support low-latency, correct, long-running agent workflows at scale.
Top Skills:
AsyncioDynamoDBGoGrpcKafkaOpentelemetryPrometheusProtocol BuffersPythonRedisSocket.IoSqs
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
