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As a Production Software Engineer, you will play a critical role in transitioning robots from engineering to reliable, scalable manufacturing. You’ll work hands-on with systems that span electronics, firmware, middleware, and mechanical integration identifying and resolving production issues to ensure long-term reliability. Your work will directly impact the stability and repeatability of robot assembly, calibration, and testing processes. This role is ideal for an engineer with production experience who understands how software and hardware come together in real-world manufacturing environments.
Job Responsibility:
Triage and debug robot issues on the factory floor across electronics, firmware, middleware, and mechanical components
Develop and maintain software for manufacturing test, calibration, validation, and system bring-up
Design and implement robot self-test frameworks for end-of-line and end-of-day validation
Build structured diagnostics and error reporting systems to enable rapid root-cause analysis
Translate engineering prototypes into robust, production-ready processes and tools
Own and evolve test software across various robot subsystems, PCBAs, and sensors
Support bootloaders, OTA flows, versioning, and traceability in distributed robot subsystems
Collaborate with Manufacturing, Controls, and Systems teams to improve yield, reliability, and throughput
Contribute to a modern Manufacturing Software stack, including: Factory station software and hardware abstraction layers
Integrations with MES, logging, and traceability systems
DevOps, software version control, and deployment for factory software
Operator-facing tools such as kiosk modes, health indicators, and access workflows
Requirements:
Proven experience transitioning engineering systems into manufacturing environments
Full-stack engineering mindset with ability to work across embedded, application, and backend layers
Deep hands-on experience with embedded systems and deployment across varied interfaces
Proficiency in C++ and Python for production, testing, and automation
Familiarity with NVIDIA Jetson platforms
Strong understanding of physical-layer communications, including SPI, I2C, UART, USB, CAN, EtherCAT, Ethernet, and RS-485
Practical knowledge of signal integrity, SNR, baud rates, and real-world communication limitations
Experience with cameras, MIPI interfaces, and calibration workflows
Comfortable working with complex robotic systems involving multiple PCBAs and subsystems
Strong grasp of quality systems, root-cause analysis, and failure diagnostics
Experience integrating software into manufacturing processes with quality gates and issue tracking workflows
Passion for building reliable systems with automated tests and robust data pipelines
Comfortable operating independently in dynamic, high-stakes production environments