B
Blue River Technology
Software Engineer
Skills
PythonGitAnsibleLinuxRaspberry Pi
19 days ago
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Important information
Salary:
$104,000 – $183,000 / year
Location:
San Francisco, CA, USA
Work mode:
Remote
Published on:
6 October 2026
What they need
Who you are
- BS degree or higher in Computer Science or related field
- 2 or more years of experience with distributed robotics software development in C++
- Proficiency with Linux/bash environments and command-line tools
- Knowledge of version control systems (e.g., Git) and collaborative development workflows
- Problem-solving skills with the ability to debug complex systems
- Ability to work effectively in a fast-paced, iterative development environment
- Familiarity with SSH for remote access and scripting on single-board compute for rapid prototype/ test applications (i.e., Raspberry Pi use cases)
- OS and machine deployment + management ability (Ansible, etc.)
- Strong written and verbal documentation
- Experience with real-time sensor integration and vision systems on autonomous vehicles or robotic systems
- Familiarity with GPU computing on edge devices and real-world constraints
- Experience with Python, especially in a robotics context
- Passionate about agriculture
What the job involves
- Our See & Spray Team is looking for a highly motivated Software Engineer to deliver the promise of Precision Agriculture to the world’s farm fields
- In this role, you will collaborate with our team in the development, testing, and optimization of software systems that power our agricultural and construction equipment
- We tackle our objectives with multi-functional engineering teams of systems and embedded software, test and QA, mechatronics, computer vision, and machine learning engineers
- Our team is empowered to figure out how to overcome challenges, and plan and prioritize work – everyone is a key contributor
- Design, develop, and test robotics system software in a complex distributed system using C++ in a Linux environment in a small multidisciplinary team
- Provide remote and in-field troubleshooting and support of distributed systems during deployment and testing phases
- Document code, APIs, and system architecture to ensure knowledge sharing
- Break down work and estimate time to completion
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