Vendor Jobs

About The Position

Requirements

• 5+ years in systems or robotics software engineering with a demonstrated track record of shipping software that controls physical hardware in production.
• Strong proficiency in C and C++; Python for tooling, scripting, and test automation.
• ROS / ROS 2: Hands-on experience writing nodes, services, actions, and hardware interface layers; comfortable with launch systems, parameter management, and tf2.
• Industrial Robotics: Hands-on experience interfacing with industrial robot controllers from one or more major vendors (FANUC, KUKA, ABB, Universal Robots, Yaskawa/Motoman, or equivalent); working knowledge of robot coordinate frames, kinematics, end-of-arm tooling interfaces, teach pendant workflows, and vendor-specific programming environments (e.g., Karel, KRL, RAPID, URScript).
• Industrial Protocols: Practical experience implementing at least one industrial fieldbus protocol — EtherCAT, CANopen, Modbus, or Profinet — in a production system.
• Embedded Interfaces: Working knowledge of SPI, I2C, UART, CAN, and GPIO, and experience debugging communication failures at the signal level.
• Real-Time Systems: Experience with real-time Linux (PREEMPT_RT or Xenomai) or an RTOS (FreeRTOS, Zephyr, or QNX) for deterministic control, with an understanding of how to measure and bound latency.
• Functional Safety: Familiarity with functional safety standards relevant to machinery or software in safety-critical systems (e.g., IEC 62304, ISO 13849, or IEC 61508), with an ability to translate safety requirements into software constraints.
• Debugging: Demonstrated ability to isolate failures in systems where the root cause may be in software, firmware, hardware, or the interface between them.
• Software Engineering: Solid fundamentals — Git, code review, unit and integration testing, CI/CD — applied to systems code, not just application code.

Nice To Haves

• Experience integrating machine vision systems using GigE Vision, USB3 Vision, or similar standards; familiarity with OpenCV or other vision processing libraries.
• Working knowledge of motion control concepts: servo tuning, trajectory generation, path planning, and force/torque sensing and control.
• Experience consuming ML inference runtimes (TFLite, ONNX, TensorRT) within a control or perception pipeline, and an understanding of the operational constraints they impose.
• Exposure to simulation and digital twin environments such as Gazebo, NVIDIA Isaac Sim, or MoveIt for offline testing and development.
• Experience in a startup or small-team environment where you own architecture decisions and build tooling and process alongside the product.

Responsibilities

• Design and implement software that integrates ML model inference outputs with physical hardware, including motion controllers, servo drives, actuators, and industrial I/O.
• Develop and maintain ROS 2 nodes, hardware abstraction layers, and device drivers for robotics and automation hardware.
• Implement and own communication stacks across industrial fieldbuses including EtherCAT, CANopen, Modbus, and Profinet.
• Interface with industrial robot controllers (e.g., FANUC, KUKA, ABB, Universal Robots, Yaskawa) via vendor SDKs, proprietary communication interfaces, and standard industrial protocols; translate controller capabilities and constraints into software integration requirements.
• Interface with low-level embedded hardware over SPI, I2C, UART, GPIO, and CAN, and collaborate with embedded engineers to define cross-boundary interfaces.
• Integrate machine vision and camera systems, including image acquisition pipelines, sensor calibration, and routing vision outputs to downstream control and inference logic.
• Collaborate with the ML Engineer to define inference APIs, data contracts, and performance budgets between model outputs and physical actuators.
• Develop real-time and near-real-time control loops on Linux (PREEMPT_RT) and RTOS targets, with a clear understanding of scheduling, jitter, and determinism requirements.
• Build hardware-in-the-loop (HIL) and integration test infrastructure that can verify system behavior with and without live hardware.
• Document software architecture, interface contracts, timing assumptions, and integration procedures for both internal engineering and regulatory purposes.
• Proactively identify integration risks, timing failures, and hardware/software boundary issues before they surface as field problems.

Benefits

• Flexible Time Off
• Sick leave
• Bereavement time
• 401(k)-retirement plan with 3% company contribution
• Comprehensive medical, dental, and vision insurance
• 6 weeks fully paid parental leave