Jobs at Blue River Technology

Lead and own cross-organizational technical programs for ML and robotics platform development, define roadmaps and milestones, remove blockers, align diverse engineering teams, and drive adoption of platform best practices to deliver scalable autonomy and infrastructure outcomes.

Provide technical leadership and architectural direction for complex robotics software supporting autonomous platforms. Design fault-tolerant systems for vehicle control, motion planning, localization, perception, controls, and fleet management. Collaborate across robotics, hardware, machine learning, perception, systems engineering, and product teams; establish software standards, testing, deployment, and validation practices; debug hardware-software integrations; and mentor engineers. The role focuses on reliable, safety-critical production software for autonomous agricultural and heavy machinery.

Leads the See & Scout engineering organization across software, data, machine learning, and robotics. Owns technical strategy, architecture, and multi-year roadmaps for scalable cloud, distributed data, edge, and machine learning platforms. Oversees the full data and ML lifecycle, production delivery, operational excellence, and customer-focused agricultural intelligence capabilities. Recruits and develops engineering leaders, partners cross-functionally, and aligns stakeholders across Blue River and John Deere.

Architects and owns highly available infrastructure and Kubernetes-based platforms supporting autonomous systems. Builds Golang backend services, platform tooling, observability systems, dashboards, alerts, and log aggregation. Partners with product teams to launch services, performs performance analysis, manages cloud upgrades, and participates in incident response and postmortems. Collaborates on cloud security risk assessments, intrusion detection, threat-feed systems, risk mitigation, and SaaS payment processes. Provides architectural leadership and mentorship across engineering teams.

Lead development of safety frameworks and V&V for end-to-end autonomous robotics, perform risk assessments and safety reviews, derive technical safety requirements, and coordinate cross-functional teams to monitor fleet performance and deploy scalable autonomy.

Own the technical architecture, strategy, and roadmap for an autonomous construction robotics stack spanning localization, planning, controls, and safeguarding. Make build-versus-reuse-versus-buy decisions, design safety systems, guide integration and field validation, establish shared technical foundations across autonomy programs, and mentor engineers. The role requires architecting and shipping production autonomous systems, strong compiled-language software skills, broad systems judgment, and 10+ years of relevant experience.

Develop and optimize computer-vision and deep-learning models (segmentation, depth) and end-to-end ML pipelines for perception. Own lifecycle from prototype to production deployment on edge and cloud, evaluate performance on large datasets, and collaborate with cross-functional teams to integrate perception into autonomous tractors.

Build and maintain production data pipelines and tools for large-scale image and sensor datasets. Design, develop, and test full-stack applications for vector and raster data, implement cloud and edge data offboarding, create continuous delivery pipelines (Kubeflow/Airflow/Databricks), collaborate with cross-functional teams, and document code, APIs, and system architecture.

Lead systems engineering for autonomous construction vehicles: define and maintain requirements and traceability, design and execute V&V plans, build simulation and validation tooling, perform FMEAs/FTAs/HARAs, validate perception and safety-related components, and collaborate across ML, software, hardware, and safety teams to enable safe field deployment.