Principal Robotics Software Engineer
Listed on 2026-08-30
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Software Development
Robotics, Software Architect, AI Engineer (Applied/Software)
We’re Blue River, a team of innovators driven to create intelligent machinery that solves monumental problems for our customers. We empower our customers - farmers, construction crews, and foresters to implement safer and more sustainable solutions, driving increased profitability with less reliance on scarce labor. We believe that focusing on the small stuff, pixel-by-pixel and task-by-task, leads to big gains. Blue River Technology aligns with John Deere’s vision to “innovate on behalf of humanity” by quickly identifying and solving high-value, high-uncertainty challenges in AI, machine learning, computer vision, and robotics.
BRT acts as a research and development flywheel, building not only new products but also new platforms that reliably create value for both Deere and its customers. From fully autonomous machines to highly precise farming equipment, BRT and Deere are partnering to deliver technical breakthroughs across industries such as agriculture and construction. Our people are at the heart of what we do.
Through cross-disciplinary collaboration, this mission-driven team is eager to define the new frontier of robotics. We are always asking hard questions, rapidly iterating, and getting our boots in the field to figure it out. We won’t give up until we’ve made a tangible and positive impact on the planet! Blue River Technology is based in Santa Clara, CA.
We are seeking a Principal Robotics Software Engineer to provide technical leadership and architectural vision on Blue River Technology's Robotics Team. In this role, you will lead the design, development, and execution of complex software systems for our autonomous platforms. Serving as a key technical authority, you will work across multiple Blue River and John Deere engineering groups to change vehicle safety behavior, control the vehicle, and access valuable data signals.
You will guide architectural decisions, mentor engineers, and partner with hardware, perception, and product leaders to turn ambitious autonomy into robust, safety-critical production software.
Employment Type
:
Full-Time Work Location :
Remote in the United States. Visa sponsorship :
Open to visa sponsorship.
- Vehicle Control & Cross-Group
Collaboration:
Work across multiple Deere engineering groups to change vehicle safety behavior, control the vehicle, and unlock valuable data signals that improve machine intelligence, autonomy, and customer outcomes. - Technical Leadership & Vision:
Drive the technical vision and software architecture across multi-quarter robotics initiatives, establishing design patterns and engineering best practices for the team. - System Architecture & Strategy:
Architect, design, and maintain high-performance, fault-tolerant software systems for robotics (e.g., motion planning, controls, state estimation, spatial awareness, or fleet management). - Cross-Functional Alignment:
Partner closely with Robotics, Perception, Machine Learning, Hardware, Systems Engineering, and Product teams to define software requirements, hardware-software interfaces, and system-level validation plans. - Code & System Quality:
Champion software quality through rigorous coding standards, automated testing, continuous integration, and real-world software deployment protocols to ensure high reliability in production environments. - Mentorship & Growth:
Guide, coach, and elevate senior, mid-level, and junior engineers through technical design reviews, clean code practices, and system-level troubleshooting. - Innovation & Technical Direction:
Stay ahead of industry trends in robotics, AI/ML, dynamic controls, and real-time computing to continually evolve the robotics platform.
- 10+ years of professional software engineering experience, with at least 4+ years in a Principal or Staff-level capacity within robotics, autonomous vehicles, aerospace, or heavy machinery automation.
- Expert-level proficiency in modern C++ and Python within Linux-based development environments.
- Deep hands‑on experience with core robotics frameworks (e.g., ROS / ROS 2, CyberRT) and key domains such as motion planning, kinematics, trajectory generation,…
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