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Our team is seeking a talented and versatile engineer to bridge the gap between our cutting-edge hardware and our software development lifecycle. This isn't a typical DevOps role. You'll be responsible for building the essential tools and automation that allow our software teams to test and validate their code against real, physical systems. You'll work directly with data being sampled from sensors, streamed across networks, and generated by complex hardware-in-the-loop (HIL) testbeds.
Job Responsibility:
Develop Hardware Integration Tools: Design, build, and maintain robust Python applications to capture, parse, and analyze real-time data from hardware test setups
Own the CI/CD Pipeline: Architect and manage our automation and CI/CD pipelines (e.g., Teamcity, Jenkins) to integrate hardware testing directly into our software build, test, and deployment processes
Maintain and Improve Test Automation Frameworks: Build and support test harnesses and frameworks that allow developers to easily write and execute tests against physical hardware or emulators
Enable AI Integration: Support the deployment and integration of LLMs to existing workflows
Build for Reliability: Ensure the infrastructure and tooling you create are scalable, reliable, and easy to maintain. Document your work and champion best practices across the engineering organization
Collaborate Cross-Functionally: Work closely with hardware engineers, embedded software developers, and integration / lab teams to understand their requirements and build the tools they need to succeed
Requirements:
Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience
5+ years of professional software development experience, with a strong emphasis on tooling, automation, or DevOps
Expert proficiency in Python, including experience with relevant libraries for I/O, data manipulation (e.g., Pandas, NumPy), and system interaction
Demonstrable experience designing, building, and maintaining CI/CD pipelines
Proven experience building tools that interface directly with hardware or real-time data streams (e.g., working with data acquisition systems, parsing custom binary protocols, interacting with serial devices)
A strong foundation in software development best practices, including version control (Git), code reviews, and testing
Nice to have:
Experience with back-end development (e.g., using Flask or Django to build simple APIs or dashboards for displaying test data)
Familiarity with compiled languages like C/C++ for low-level hardware interaction
Experience with containerization (Docker) and orchestration (Kubernetes)
Knowledge of hardware communication standards like CAN bus, ARINC-429, or RS-422
Previous experience in the aerospace, automotive, robotics, or a similar industry involving complex hardware systems
Familiarity with Tool Qualification as guided by DO-330
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