Director of Engineering, See & Scout

Blue River Technology; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote work within the United States

Job summary

Blue River Technology seeks a Director of Engineering to lead machine-vision and field-intelligence initiatives. You will guide a multidisciplinary team spanning data, machine learning, and robotics, connecting field observations to actionable cloud-based production intelligence.

You will own the engineering roadmap, foster growth, and drive rapid experimentation in real-world environments to deliver measurable customer and operational value.

Qualifications

• Experience leading data, ML, or robotics engineering teams.
• Able to set direction for complex machine intelligence and software systems.
• Proven ability to scale teams and manage growth.

Responsibilities

• Define and drive the technical roadmap for a machine-vision and field-intelligence engineering organization.
• Lead a multidisciplinary team of data, machine learning, and robotics engineers.
• Architect systems that translate visual information and field data into production intelligence.
• Bridge experimental work in real-world environments with scalable, high-performance cloud systems.
• Build engineering practices, culture, and organizational structure to scale a long-term technical vision.
• Partner across disciplines to solve difficult problems and deliver measurable value.

Skills

Leadership

Machine learning

Robotics

Distributed systems

Cloud architecture

Team growth

Job description

Role overview

This Director of Engineering role leads the development of machine-vision capabilities that turn field observations into actionable intelligence for large-scale agricultural operations. You will connect real-world operational conditions with high-performance distributed systems in the cloud, guiding both technical strategy and organizational execution. The position owns the engineering roadmap and the growth of a multidisciplinary team spanning data, machine learning, and robotics, with a focus on delivering practical impact through intelligent machinery.

Responsibilities

• Define and drive the technical roadmap for a machine-vision and field-intelligence engineering organization.
• Lead a multidisciplinary team of data, machine learning, and robotics engineers.
• Architect systems that reliably translate visual information and field data into production intelligence.
• Bridge experimental work in real-world environments with scalable, high-performance cloud systems.
• Build the engineering practices, culture, and organizational structure needed to scale a long-term technical vision.
• Partner across disciplines to investigate difficult problems, iterate quickly, and deliver measurable customer and operational value.

Requirements

• Engineering leadership experience across multiple technical disciplines, including data, machine learning, or robotics.
• Ability to set technical direction for complex systems that combine machine intelligence, software, and physical-world operations.
• Strong systems thinking, with the judgment to connect field requirements to distributed cloud architecture.
• Experience developing and supporting engineering teams through professional growth and organizational change.
• Comfort operating in high-uncertainty, research-and-development environments where rapid experimentation is expected.
• Commitment to validating ideas in real operating conditions and turning successful research into dependable products.

Benefits and work setup

• Full-time position.
• Remote work arrangement within the United States.
• Mission-driven work focused on safer, more sustainable, and more productive operations.