Senior Software Engineer (Edge Robotics)
Aigen
Software Engineering
Redmond, WA, USA
Posted on Apr 8, 2025
At Aigen, our mission is to accelerate the transition to regenerative agriculture—with a pesticide-free, solar powered robotics platform.
52% of agricultural land is degraded by current management practices, and toxic chemical pesticides are sprayed and then consumed in the food we eat. Join us to make a real world impact at the confluence of cutting edge robotic technology, agriculture, AI, and climate! With $19M raised to date, we are backed by a suite of investors including NEA, GFC, AgFunder, Regen.vc, and Bessemer Ventures.
The Role: Are you passionate about software development and eager to contribute in a way that will shape systems from early stages? Join our team and be a driving force in advancing the heart of our robot software stack. We are on a mission to address challenging real-world problems, and we need creative and dedicated developers like you to help us build our robotics platform.
Collaborate with cross-functional teams to design, develop, and maintain the robot software framework. Debug and troubleshoot software and hardware issues, working hand-in-hand with the testing and hardware teams to ensure seamless software integration.
The responsibilities will be wide and varied. The ideal candidate will be a quick learner with the ability to understand complex systems, and have a creative approach to problem solving.
Aigen celebrates diversity in all its forms, and is an equal opportunity employer
Tools / Languages: C/C++, Python, JIRA, Confluence
Responsibilities
- Embedded Linux: Design, develop, and maintain robust embedded Linux systems that support our robotics platforms
- Software Engineering: Develop high-quality, modular, and efficient software in Python and C++
- Robotics Systems: Collaborate with the team to develop and harden new features, control algorithms, and optimize our custom ROS-like operating system
- Cloud & App Integration: Develop IoT communication solutions, including AWS IoT integration, to enable seamless connectivity between robots, the cloud, and mobile applications in an intermittent connectivity environment.
- Camera and Imaging Pipelines: Develop camera pipelines and imaging systems which support edge AI applications. Ensuring high quality and low latency for real-time robotics operations.
- Optimize the software stack running on our robots for maximum efficiency and responsiveness.
- Write end-of-line (EOL) testing software and ensure it integrates seamlessly with our deployment systems.
- Contribute to the design and development of our simulation tools, with a focus on Hardware-in-the-Loop (HITL) testing systems.
Requirements
- Have shipped and supported a product to production / customers.
- BS/MS degree in Computer Science, Robotics or related fields.
- 7+ years of strong C, C++ and Python experience in a Linux development environment, preferably for robotic systems.
- Experience troubleshooting and analyzing remotely deployed software systems.
- Ability to thrive in a fast-paced startup environment.
- Comfortable with ambiguity and able to navigate through complex and evolving requirements and challenges.
Desired Qualifications
- Experience launching hardware products in a production environment.
- Hands-on experience with robotics controls, transformation graphs, and reference frames, as well as familiarity with ROS or ROS-like environments.
- Solid understanding of data structures, relational databases, and graph structures.
- Experience implementing messaging communication protocols (ex: ZeroMQ, MQTT).
- Experience working with camera pipelines (ex: GStreamer, SHM).
- Experience with AWS IoT or similar cloud-based IoT platforms.
- Experience with sensor fusion, SLAM, navigation, routing, and map creation algorithms.
- Background in agriculture, robotics, or related industries is a plus.
- Prior startup experience.
- Track record of innovative thinking and a willingness to explore unconventional approaches to problem-solving.
- Experience developing compute-constrained applications.