Key Responsibilities

 Develop, maintain, debug, and improve Python-based instrument-control software.

 Quickly understand and take ownership of portions of a large existing codebase.

 Diagnose failures involving interactions between software and multiple hardware

subsystems.

 Debug complex integration issues across robotics, motion control, sensors,

imaging, microfluidics, and custom electronics.

 Investigate intermittent and difficult-to-reproduce instrument failures.

 Improve stability, reliability, observability, and fault handling throughout the

instrument-control platform.

 Integrate Python applications with hardware devices and custom firmware

interfaces.

 Work with real-time or near-real-time telemetry generated by multiple instrument

components.

 Analyze logs, telemetry, device state, and system behavior to identify root causes.

 Develop robust error recovery and fault-management mechanisms.

 Collaborate directly with firmware, electrical, mechanical, systems, scientific, and

software engineers.

 Support instrument integration, testing, and troubleshooting on physical hardware.

 Improve documentation and engineering knowledge transfer within the instrument-

control codebase.

 Contribute to architectural improvements as the platform matures. Required Skills  7+ years of software engineering experience, with significant hands-on Python

development.

 Advanced proficiency with Python in production systems.

 Strong Linux experience, including command-line debugging, processes,

permissions, networking basics, logs, and device interaction.

 Demonstrated experience integrating software with physical hardware or embedded

systems.

 Experience controlling or coordinating multiple hardware components

simultaneously.

 Strong debugging skills across complex distributed or hardware-integrated systems.

 Experience consuming, processing, or troubleshooting real-time/streaming

telemetry.

 Understanding of asynchronoconcurrent programming and event-driven

systems.

 Experience interfacing Python applications with firmware, embedded controllers,

device APIs, serial interfaces, network-connected devices, or similar systems.

 Ability to understand unfamiliar, complex codebases quickly.

 Strong software engineering fundamentals, including testing, version control, code

review, and maintainable architecture.

 Excellent communication skills and comfort working across software and hardware

engineering disciplines. Strongly Preferred  Scientific instrumentation, laboratory automation, robotics, medical devices,

semiconductor equipment, industrial automation, motion-control systems, machine

vision/imaging systems, microfluidics, or hardware-in-the-loop systems.

 Experience with motion controllers, motors, stages, actuators, or robotic positioning

systems.

 Experience with cameras, sensors, or imaging pipelines.

 Experience with serial communication, USB, Ethernet-connected devices, CAN,

Modbus, or similar hardware protocols.

 Experience with custom firmware interfaces, state machines, and device

orchestration.

 Experience with hardware-in-the-loop testing, simulation, or digital-twin

environments.

 Experience with telemetry, observability, logging, and failure analysis.

 Experience with AWS or cloud-connected instrumentation.