As a Software Engineer - Robotics Full Stack & Vision at Reframe Systems, you'll be responsible for designing and developing full-stack production code for robotic manipulation workcells. You'll lead architecture decisions for machine learning perception systems and validate your hypotheses through data-driven experimentation. Collaboration will be key as you work with a multi-disciplinary team to bring new ideas from proof-of-concept to operational deployment, effectively shaping the future of automation in construction.

To qualify for the Software Engineer - Robotics Full Stack & Vision role at Reframe Systems, candidates should have over 5 years of experience in software development or robotics. Key skills include proficiency in advanced C++17 and Python, particularly in a Linux environment using ROS 2, as well as professional engineering practices like CI/CD and testing. A background in machine vision and experience delivering production-ready systems are also essential.

While the basic qualifications require significant experience in software development, ideal candidates for the Software Engineer - Robotics Full Stack & Vision role at Reframe Systems will often have experience deploying or maintaining machine learning systems at scale. Familiarity with open-source robotics libraries and tools like Docker, AWS, or VSCode can also enhance your application. Reframe Systems welcomes diverse skills, so even if you don't meet every qualification, your enthusiasm for our mission can still be a strong asset.

At Reframe Systems, a Software Engineer - Robotics Full Stack & Vision will thrive in a collaborative and diverse team environment. You will have the opportunity to engage with a multi-disciplinary team of roboticists, engineers, and architects, promoting an atmosphere of teamwork where ideas are shared freely. The culture fosters individual initiative and encourages problem-solving, making it a perfect environment for talented individuals eager to innovate in the construction sector.

A Software Engineer - Robotics Full Stack & Vision at Reframe Systems should be adept with C++17 and Python in a Linux environment, especially utilizing ROS 2. Familiarity with machine learning tools to tackle robotics perception issues is critical. Experience with professional engineering practices, including Git for version control, CI/CD pipelines, and testing frameworks, will also be necessary to ensure reliable and scalable production systems.

When answering about your full-stack software development experience in robotics, highlight specific projects where you designed and implemented software systems. Discuss how you contributed to both front-end and back-end components, focusing on any interaction with robotic systems to demonstrate your understanding of integration challenges.

Explain your method for designing machine learning models by discussing your steps from data collection and preprocessing to model training and validation. Share relevant examples of challenges you faced and how you utilized performance metrics to improve your models for practical application in robotic perception tasks.

Talk about using engineering best practices such as code reviews, maintaining coding standards, and implementing robust testing frameworks. Provide examples of how these techniques have contributed to the performance and reliability of robotic software systems you've worked on in the past.

Use the STAR method to explain a project where you successfully used both C++ and Python within a Linux environment. Discuss how you addressed specific challenges and how your technical solution led to successful outcomes, particularly in the context of robotics.

Detail your troubleshooting process, emphasizing systematic analysis and data-driven approaches. Discuss how you collect data, verify assumptions, and iterate on your solutions, perhaps referring to a past experience where this approach helped resolve a critical issue.

Share how you have effectively used Git in team settings, highlighting instances where version control has helped simulate collaborative coding. Discuss how you handled branching, merging, and resolving conflicts, showcasing your ability to maintain code integrity while working with others.

Express how collaboration is vital, especially in interdisciplinary teams like those at Reframe Systems. Provide an example of a project where teamwork led to improved outcomes, showing your ability to communicate and share ideas effectively among diverse skillsets.

Discuss your strategies for continuous learning, whether it involves following industry publications, participating in hackathons, or engaging in online courses. Sharing specific resources or communities that have enriched your knowledge can add credibility to your response.

Identify aspects like real-time processing, system integration, or hardware-software coordination that you find challenging. Present your perspective on why these challenges exist and how inventive engineering solutions can help minimize these difficulties.

Convey your enthusiasm for Reframe Systems' mission to revolutionize construction and how it aligns with your values and expertise. Mention specific aspects of their work or projects that excite you and discuss how your skills can contribute meaningfully to their goals.