Software Engineer - Factory Automation

Janicki Industries•Sedro Woolley, WA

1d•Hybrid

About The Position

At Janicki Industries, we turn complex ideas into real-world solutions through advanced engineering and manufacturing. Our teams design and build innovative structures, tooling, and systems that support industries including aerospace, space, defense, marine, and architecture. Across every role, from engineers and technicians to operations and support teams, our people help solve challenging problems, push the limits of design and manufacturing, and create solutions that make a lasting impact. This position is located in Sedro Woolley, Washington State. Janicki is building a new machining facility in Montana centered on approximately 25 large five-axis mills and automating nearly everything that happens between the receiving dock and the spindle. Pallets, billets, tools, chips, and finished parts will move under machine control via AGVs, AMRs, robots, and cobots. The orchestration software for that system does not exist yet. You will write it. This is not maintenance work. Two engineers will build the scheduling and control layer for a factory still under construction. The constraints are physical, the resources are contended, and idle spindles are not an option.

Requirements

5+ years building production systems that ran unattended and carried real consequences when they failed
Bachelor’s degree in Electrical Engineering, Software Engineering, Computer Engineering, or related field required; Master’s degree preferred
Strong distributed systems fundamentals: event-driven design, idempotency, state reconciliation, partial failure, and back-pressure
Practical experience shipping scheduling, planning, or optimization systems
Fluency in Python, C#, Java, Go, or Rust
Disciplined engineering practices: testing, CI, observability, and simulation-first development
Willingness to work and travel in MT and WA spend real time on the floor
Must have effective verbal and written communication skills in the English language
Due to our ITAR and EAR regulations, applicants must be a US Citizen or of Legal Permanent Resident Status as defined by 8 U.S.C. 1324b (a) (3).

Nice To Haves

Master’s degree preferred

Responsibilities

Support a production floor with approximately 25 five-axis mills arranged along a single central traffic lane
Coordinate AGV/AMR pallet shuttling, chip evacuation, and cutter delivery across the facility
Enable robotic billet handling, clamping, and work preparation
Build a scheduling and sequencing engine whose primary objective is zero spindle wait
Develop traffic management, zone control, deadlock detection, and recovery for the central lane
Implement look ahead material and tooling staging so the right resources arrive before the current job ends
Coordinate fleet operations across mixed vendors and protocols, including heterogeneous coordination across shared, bidirectional lanes
Build integration services for SAP, tool life, machine state, program status, and MES
Develop simulation and digital-twin tooling for safe, high-volume testing
Create operator interfaces for visibility, override, and explanation
Treat robust exception handling as a core product capability
Manage multiple priorities and deadlines while maintaining strong communication and collaborative working relationships
Direct AI coding agents fluently across multi-week bodies of work not just autocomplete
Work spec-first: define the problem, constraints, interfaces, and acceptance criteria before writing code
Decompose work for parallel AI agents while owning the integration seams
Engineer context deliberately, thinking in graphs for both agent workflows and the factory itself
Apply rigorous verification, judging where AI-generated code is appropriate versus where code must remain small, deterministic, and hand-reviewed
Continuously improve your own AI-assisted development tooling and raise the team's throughput
Perform additional engineering duties as assigned