Perception/Robotics Engineer Intern

Perception/Robotics Engineer Intern

Requisition ID: 5709

Job Location: TEMPE - Arizona - United States

Category: Engineering and Technical

Job Type: Intern or Co Op

Working Mode: Fully On-Site

Apply now

Apply Now

Start applying with LinkedIn

Start

Please wait...

About Us

Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world.

From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people – and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, you’re in the right place.

Grow a Career. Build a Future!

Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation can’t happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers.

Intern Program Overview

We are committed to building a strong talent pipeline by investing in early career professionals. Our internship and co-op programs provide mentorship, training, hands-on experience, and growth opportunities that empower students to explore their career paths with confidence. Through competitive wages, networking events, social and volunteer activities, professional development workshops, and housing support, we strive to deliver one of the best internship experiences—designed to develop and inspire the talent of tomorrow. Summer interns work full-time (40 hours per week) from May through August. Candidates must be currently enrolled college students actively pursuing a degree to participate in the internship program.

Job Purpose

Research, develop, and evaluate perception technologies, algorithms, and processes that enable machines to sense and interpret their environment in real time, in support of an assigned goal or specific technical problem.

Key Responsibilities

Architect robust perception systems capable of processing data from cameras, LiDAR, radar, and thermal sensors in real time.

Develop and maintain computer vision, sensor fusion, and machine learning algorithms.

Design for extreme environments, ensuring perception algorithms resist dust, mud, vibration, and shifting lighting.

Oversee field-testing campaigns to validate system performance in real-world crop conditions and diverse growth stages.

Experience Required

Masters' degree in Robotics or relevant field

Preferred Qualifications

Pay Transparency

The annual salary for this role is USD $30.90 - $35.02 plus any applicable bonus (Actual salaries will vary and will be based on various factors, such as skill, experience and qualification for the role.)

For roles open across multiple locations, the salary range indicated refers to the primary location. If a different location is considered, the applicable salary range will be communicated to candidates prior to the first interview.

What We Offer

We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect.

At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including:

Flexible work arrangements

Savings & Retirement benefits

Tuition reimbursement

Parental leave

Adoption assistance

Fertility & Family building support

Employee Assistance Programs

Charitable contribution matching and Volunteer Time Off

Apply now

Apply Now

Start applying with LinkedIn

Start

Please wait...