Software Engineer, Manufacturing (2027 Grad)

About the Role

This is an entry-level role for a new graduate on the vehicle side of autonomous systems, focusing on motion control, safety systems, and onboard software decision-making for AGVs. You will start with well-scoped features and bug fixes under mentorship, growing into ownership of vehicle subsystems. There is a potential path into perception and vision-guided autonomy work.

Key Responsibilities

Vehicle Control Software Development

• Develop, test, and maintain onboard AGV software, including motion control, navigation behavior, vehicle state management, error handling, and diagnostics.
• Implement features, enhancements, and defect fixes, with design review and mentorship.
• Work with onboard controllers and embedded interfaces (CAN, serial, industrial Ethernet) and integrate vehicle software with higher-level PLC and fleet control.
• Contribute to code reviews, version control hygiene, and software documentation.

Safety Systems & Compliance

• Support development and maintenance of AGV safety functions, including obstacle detection, protective stop behavior, speed and zone enforcement, and E-stop logic.
• Implement and verify safety-related software under direction, following functional safety and industrial vehicle standards (ANSI/ITSDF B56.5, ISO 3691-4).
• Maintain traceability between safety requirements, implementation, and verification evidence.
• Participate in risk assessments, hazard analyses, and design reviews for vehicle safety behavior.

Testing, Validation & Debug

• Write and maintain unit, integration, and regression tests for vehicle software; support automated test development.
• Validate software on physical AGVs in lab and test cells, running scenarios, capturing data, and confirming behavior.
• Troubleshoot vehicle issues using logs, bus analyzers, and data capture tools; perform root cause analysis and drive fixes.
• Support sustaining and field issue resolution.

Engineering Process & Growth Areas

• Work within the team's Agile cadence (JIRA backlog grooming, sprint commitments).
• Contribute to engineering process and software ownership (PLM, design tools, code repositories).
• Grow into AI robotic vision work, including perception pipelines, object/obstacle detection, sensor fusion, and vision-guided AGV behavior.
• Take on additional development scope, subsystem ownership, and technical decision-making.

Requirements & Tech Stack

• Proficiency in at least one of C, C++, C#, or Python.
• Solid fundamentals in data structures, algorithms, and debugging.
• Working knowledge of version control (Git) and collaborative development practices (branching, code review).
• Willingness to work hands-on with physical hardware.

Qualifications

• BS in Computer Science, Software Engineering, Computer Engineering, Software Development, or a related technical discipline.
• 0–2 years of professional experience; new and recent graduates are encouraged to apply.
• Strong documentation, communication, and organizational skills.
• Must be eligible to work in the USA long term without sponsorship.
• Travel Requirements: 5% overnight travel (expenses paid by Toyota Automated Logistics).

About Toyota Automated Logistics

Toyota Automated Logistics is a global partner for integrated warehouse automation. They offer Health, Dental, and Vision Insurance, a 401(k) Retirement Plan with a company match, Vacation / Holiday Pay, Paid Volunteer time off, Tuition Reimbursement, and support for Professional Associations, Conferences and Subscriptions.