We are building the hardened execution layer for a new kind of fab. The team already has deep expertise in data engineering and algorithms. We need a hands-on software engineer with deep architectural experience and systems thinking to work directly with these experts and turn that expertise into simple, dependable software.
The primary responsibility is managing software complexity: defining clear responsibilities and interfaces, limiting coupling, and making the system easier to understand, test, operate, and change. Fluency in data and optimization, and a willingness to work with hardware support that responsibility.
What You’ll Do- Define component responsibilities, state ownership, and interfaces; remove unnecessary coupling and abstractions.
- Build and test production software in Go and Python with data engineering and optimization experts.
- Evolve existing systems through safe, incremental migrations.
- Resolve integration issues with operators and engineers, including hands-on work with fab equipment.
- 8+ years building production software; productive in Go and Python.
- Demonstrated meaningful ownership of architectural decisions in a complex production system.
- Demonstrate first-principles thinking with sound instincts for strategic tradeoffs.
- Closed-loop experience: Operated or evolved the system long enough to observe the consequences of those decisions, explain what worked and failed, and improve the architecture.
- Production ownership: Experience testing, operating, and safely migrating systems where correctness matters.
- Collaboration: Translate expert knowledge and user needs into software requirements and acceptance criteria.
- Domain fluency: Discuss data models, transactions, and durable history with data engineers; objectives, constraints, inputs, and outputs with optimization experts.
- Experience with Hardware: Demonstrated interaction with equipment. Have had to understand and troubleshoot physical workflows.
- Has willingness to work directly with fab equipment.
- BS in CS or related field
The compensation for this position also includes equity and benefits.
Skills Required
- 5+ years building or debugging systems with external dependencies (hardware, embedded devices, networked services, or similar)
- Track record of making and defending nontrivial architecture decisions (build vs. buy, deployment topology, service boundaries)
- Strong Python skills for production systems
- Proficiency in at least one systems or strongly-typed language (C++, Rust, or Go)
- Solid grounding in distributed systems fundamentals: state coordination, consistency, failure modes, concurrency
- Experience introducing or maintaining CI/CD, automated testing, or observability tooling in a codebase lacking them
- Comfort operating against an incomplete or contested specification and a bias toward driving clarity
- Bachelor's degree in Computer Science, Electrical Engineering, Robotics, or related field, or equivalent experience
- Experience with real-time or resource-constrained environments, IoT, edge compute, industrial systems, robotics, or manufacturing (bonus)
- Experience thinking about and implementing observability for ML/AI pipelines (bonus)
- Proven experience introducing testing or CI discipline and gaining team buy-in (bonus)
- Experience evaluating cloud vs. on-prem/edge deployment tradeoffs for latency- or safety-sensitive systems (bonus)
- Experience debugging issues across application, transport, firmware, and hardware layers (bonus)
- Ability to translate physical constraints (latency, noise, mechanical tolerance, safety margins) into software behavior (bonus)
What We Do
Atomic Machines is redefining humanity’s relationship with matter. We see a future where our tools will allow us to reorganize matter at the atomic level at will, where we will go from bits to atoms for any object or machine that can be designed in alignment with physical laws. We have begun our journey with the development of a robotic manufacturing platform capable of making an entirely new class of micro-electromechanical (MEMS) devices. We are well funded and have exceptionally strong product/market fit and a clear go-to-market path for the device we will make first with our platform. Our platform breaks traditional manufacturing paradigms and constraints, enabling inexpensive rapid prototyping as well as large scale manufacturing with highly compelling economics. Joining forces with us means becoming part of an incredibly talented, inventive and passionate multi-disciplinary team working on a massive world-changing mission. You will have the opportunity to help define the company from its early days. You’ll be challenged to learn and grow as a builder and a leader as the company itself grows rapidly. And you will receive significant equity compensation - you’ll truly be a company owner and benefit financially from our overall success.
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