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Tech Lead - Perception, Agricultural Systems

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: CNH Industrial Group
Full Time position
Listed on 2026-09-12
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 137475 - 210795 USD Yearly USD 137475.00 210795.00 YEAR
Job Description & How to Apply Below

Tech Lead
- Perception, Agricultural Systems Language View Profile Employee Login

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Engineering and Technical

Job Description Tech Lead
- Perception, Agricultural Systems

Requisition

Job Location:

TEMPE
- Arizona
- United States Category:
Engineering and Technical Job Type: Full Time Working Mode:
Hybrid

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.

Job Purpose

As the Tech Lead for Perception on Agricultural Systems
, you will oversee the engineering development of perception algorithms and sensor selection for use in various agricultural applications like autonomy, sense and act, row guidance, and more.

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.
  • Partner with hardware teams to select optimal sensors, compute platforms, and mounting locations on vehicles.
  • Collaborate with product managers to translate agronomic needs (e.g., weed detection, yield mapping) into technical specifications.
  • Establish safety‑critical baselines for obstacle detection, collision avoidance, and hazard mitigation in open fields.
  • Manage vendor relationships with sensor manufacturers, labeling services, and cloud compute providers.
  • Enforce code quality through code reviews, automated testing, and continuous integration (CI/CD) pipelines.
  • Conduct performance reviews, set clear OKRs, and foster continuous professional growth for team members.
  • Facilitate daily standups, sprint planning, and agile retrospectives to keep projects on schedule.
  • Promote and maintain the highest possible environment of teamwork and collaboration.
Experience Required
  • Master’s degree in engineering with 5+ years of engineering experience working with perception systems to solve vision based problems with AI and computer vision algorithms.
  • 5+ years of software development experience with modern C++ (C++14 or newer) and Python.
Preferred Qualifications
  • Previous leadership experience with teams developing commercial solutions with perception technology.
Pay Transparency

The annual salary for this role is $137,475 - $210,795 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…

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