Perception Systems Team Lead

Company Overview

We are supporting a global leader in agricultural and construction equipment, building the machines and technology that help farmers and builders work more productively and more sustainably. The engineering teams develop everything from alternative-power drivetrains to advanced precision and automation systems. If you want to grow your skills on a collaborative, worldwide team tackling hard real-world problems, this is the place to do it.

Role Overview

As Perception Systems Team Lead, you will own the engineering development of perception systems across a range of agricultural applications, including autonomy, sense-and-act, row guidance, and more.

Core Responsibilities

• Lead the design of resilient perception stacks that fuse real-time input from cameras, radar, LiDAR, and thermal imaging.
• Build and sustain the core algorithms across machine learning, computer vision, and sensor fusion.
• Set safety-critical thresholds for collision avoidance, obstacle detection, and hazard response across open terrain.
• Harden algorithms against field conditions such as airborne dust, mud, mechanical vibration, and variable light.
• Own field-validation programs that prove out performance across live crop settings and varying stages of growth.
• Close the loop between simulated test environments and how equipment actually behaves in the field.
• Guide the porting of systems onto a range of ag machinery.
• Work alongside hardware groups to pick the right sensors, compute units, and mounting points on the machine.
• Coordinate with vehicle control teams so perception outputs feed cleanly into steering and actuation.
• Turn agronomic requirements (yield mapping, weed detection, and the like) into engineering specs, working in step with product management.
• Hold code standards through peer review, test automation, and CI/CD pipelines.
• Run the team's agile cadence: standups, sprint planning, and retrospectives that keep delivery on track.
• Drive individual growth via performance reviews, well-defined OKRs, and ongoing development.
• Own supplier relationships across sensor vendors, data-labeling partners, and cloud compute.
• Champion a strong, collaborative team culture.

Required Qualifications

• A master's degree in engineering, plus five or more years applying perception systems to computer-vision problems.
• Five-plus years of production software development in Python and modern C++ (C++14 or later).

Preferred Background

• Prior experience leading teams that delivered commercial products built on perception technology.