There are over 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, fiber and infrastructure for our rapidly growing world is what we're all about at John Deere. And it's why we're investing in our people and our technology like never before! Here the world's brightest minds are tackling the world's biggest challenges. If you believe one person can make the world a better place, we'll put you to work. RIGHT NOW.
John Deere is an equal opportunity employer, including disabled & veterans.
Primary Location: United States (US) - California - Santa Clara
Function: Product Engineering (CA)
Title: Senior Perception Engineer - 122281
Onsite/Remote:Onsite Position
As a Senior Perception Engineer for John Deere ISG located in Santa Clara, CA, you will:
- Develop and maintain perception capabilities across the full autonomy stack — working from onboard C++ systems and sensor interfaces up through applied ML models that interpret the environment
- Develop and maintain key components of the perception pipeline, including data ingestion, labeling, model execution, and downstream interfaces used by planning and controls
- Diagnose and resolve perception failures using logs and sensor data — reconstructing system behavior when real‑time debugging isn’t possible and driving issues to root cause
- Implement and optimize C++ modules running on embedded and edge compute platforms, ensuring real‑time performance, robustness, and clean integration with the broader autonomy system
- Train, evaluate, and deploy applied ML models for detection, segmentation, tracking, and scene understanding — focusing on production reliability rather than research novelty
- Improve the quality and maintainability of perception codebases by refactoring legacy components, tightening interfaces, and eliminating technical debt
- Collaborate closely with robotics, systems, and platform teams to ensure perception outputs meet system‑level requirements and integrate cleanly across boundaries
- Contribute to team engineering culture through thoughtful code reviews, design discussions, and sharing best practices in C++, ML, and systems debugging
- Drive clarity in ambiguous problem spaces by breaking down perception issues into actionable engineering tasks and proposing pragmatic solutions
VISA Sponsorship is NOT available for this position
- 3 or more years of professional software engineering experience, including substantial work in modern C++
- Hands‑on experience with applied machine learning for perception — training, evaluating, and deploying models using frameworks such as PyTorch or TensorFlow
- Ability to work effectively across system boundaries — from onboard compute and middleware to cloud‑based data workflows
- Demonstrated ability to deliver high‑quality, maintainable code and collaborate effectively within a multidisciplinary engineering team
- Strong debugging skills, especially in log‑driven environments where issues span multiple processes, sensors, or system layers
- Experience working with sensor data (camera, LiDAR, radar) and building or maintaining perception data pipelines
- Experience with ROS 2 (nodes, lifecycle, launch, parameters, QoS) and its build ecosystem
- Experience deploying ML models to embedded platforms (Jetson, ARM, x86) and optimizing for latency, memory, or power constraints
- Background in classical computer vision, sensor fusion, or tracking algorithms
- Experience with static analysis and code quality tools (clang‑tidy, ASAN/TSAN/UBSAN)
- Experience with simulation environments, synthetic data generation, or system‑level testing frameworks
- Solid understanding of Linux development, build systems (CMake, Bazel, or colcon), and containerized workflows (Docker)
- Familiarity with concurrency, performance constraints, and real‑time considerations in robotics or embedded systems
- Domain experience in agricultural, mining, construction, or other off‑highway autonomous systems
Ideally, you will have a degree or equivalent related work experience in the following:
- Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field
- Master's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field is preferred
- Coursework or demonstrated expertise in perception, machine learning, or robotics software architecture is preferred
What You'll Get
At John Deere, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment. Here, you'll enjoy the freedom to explore new projects, the support to think outside the box and the advanced tools and technology that foster innovation and achievement. Additionally, we offer a comprehensive reward package to help you get started on your new career path, including:
- Flexible work arrangements
- Highly competitive base pay
- Savings & Retirement benefits (401K and Defined Contribution)
- Healthcare benefits with a generous company contribution in the Health Savings Account
- Adoption assistance
- Employee Assistance Programs
- Tuition assistance
- Fitness subsidies and on-site gyms at specific Deere locations
- Charitable contribution match
- Employee Purchase Plan & numerous discount programs for personal use
- Vacation and Holiday Pay
$124,584.00 - $186,864.00 + Benefits
Follow this link to learn more about our Total Rewards Package https://bit.ly/3XCd8fL
Must be 18 years of age or older to apply
The information contained herein is not intended to be an exhaustive list of all responsibilities and qualifications required of individuals performing the job. The qualifications detailed in this job description are not considered the minimum requirements necessary to perform the job, but rather as guidelines.
The terms of the applicable benefit plans, and all company actions administering or interpreting these plans, continue to control. Deere & Company reserves the right to suspend, amend, modify, or terminate the Plan(s) in any manner at any time, including the right to modify or eliminate any cost-sharing between the company and participants. Changes, which can be made at any time, are made by action of the company's board of directors, or to the extent authorized by resolution of its board of directors, or by the Deere & Company Compensation Committee. In the event of a conflict between the language of the official Plan Documents and this document, the language of the official Plan Documents will control.
ACA Section 1557 Nondiscrimination Notice
The John Deere Health Benefit Plans for Salaried Employees and The John Deere Benefit Plan for Wage Employees comply with applicable Federal civil rights laws and do not discriminate on the basis of race, religion, color, national origin, sex, age, sexual orientation, gender identity or expression, status as a protected veteran, or status as a qualified individual with disability.
Skills Required
- 3 or more years of professional software engineering experience
- Substantial experience with modern C++
- Hands-on applied machine learning experience for perception, including training, evaluating, and deploying models
- Experience with PyTorch or TensorFlow
- Ability to work across onboard compute, middleware, and cloud-based data workflows
- Experience delivering high-quality, maintainable code in multidisciplinary engineering teams
- Strong debugging skills in log-driven, multi-process, multi-sensor, or multi-layer environments
- Experience with camera, LiDAR, or radar sensor data and perception data pipelines
- Bachelor's degree or equivalent related work experience in Computer Science, Electrical Engineering, Robotics, or a related technical field
- Experience with ROS 2, including nodes, lifecycle, launch, parameters, QoS, and its build ecosystem
- Experience deploying and optimizing ML models on Jetson, ARM, or x86 embedded platforms
- Background in classical computer vision, sensor fusion, or tracking algorithms
- Experience with static analysis and code quality tools such as clang-tidy, ASAN, TSAN, or UBSAN
- Experience with simulation, synthetic data generation, or system-level testing frameworks
- Understanding of Linux development, CMake, Bazel, colcon, and Docker workflows
- Familiarity with concurrency, performance constraints, and real-time robotics or embedded systems
- Experience in agricultural, mining, construction, or other off-highway autonomous systems
- Master's degree in Computer Science, Electrical Engineering, Robotics, or a related technical field
- Coursework or demonstrated expertise in perception, machine learning, or robotics software architecture
John Deere Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about John Deere and has not been reviewed or approved by John Deere.
-
Healthcare Strength — Health coverage is described as comprehensive, with union‑represented employees retaining high‑value plans with no premiums or deductibles under the 2021–2027 agreement. Company materials also highlight broad medical options, wellness resources, and inclusive care navigation.
-
Retirement Support — The package includes a 401(k) with company match and, for many represented roles and some salaried groups, access to a defined‑benefit pension. Contract updates and company filings indicate sustained retirement programs with enhancements for covered employees.
-
Leave & Time Off Breadth — Paid vacation scales up to five weeks with additional holidays, and some units allow purchasing extra time off. Materials also reference paid parental and caregiver leave alongside flexible work arrangements where roles allow.
John Deere Insights
What We Do
Life can’t evolve without innovation. That’s why we’re ideating to help feed the planet, build smarter, and help our farmers and growers to sustainably optimize their land. The mission is underway, but we need the right people to continue bringing it to life. From coders to assemblers and from engineers and tech experts to marketers and field teams. All find a purpose to drive them, a culture to thrive in, and a world of opportunities.
Why Work With Us
Our company is more than just a place to work. For John Deere employees, it’s where we dream, design, and deliver machines and technology that help feed a rapidly growing world and build critical infrastructure in villages, towns and modern megacities.
Gallery
