Senior Software Engineer – Computer Vision

Posted 6 Hours Ago
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Barcelona, Cataluña, ESP
In-Office
Senior level
Logistics • Other • Software
The Role
Develop and maintain production-grade computer vision software for AI-enabled parcel management and automated logistics systems. Responsibilities include processing camera data for real-time decisions, integrating AI models and frameworks, designing scalable architectures, optimizing and deploying solutions, and contributing to technology roadmaps. The role also involves collaboration with product and engineering teams, technical leadership, mentoring junior engineers, and establishing software engineering best practices.
Summary Generated by Built In
Job TitleSenior Software Engineer – Computer Vision

Job DescriptionAre you passionate about applying AI and computer vision to solve real-world challenges in automated logistics? Do you enjoy building robust software solutions that translate visual data into intelligent operational decisions? If so, Vanderlande is looking for you.
About the role

As a Senior Software Engineer – AI Vision / Computer Vision, you will play a key role in developing innovative software capabilities that enable parcel handling systems to better understand and interpret their operational environment. You will combine strong software engineering expertise with practical experience in computer vision, image processing, AI models, and scalable software architectures.

Working together with product owners, architects, automation specialists, and fellow software engineers, you will help bring AI vision capabilities from concept and prototype to reliable, production-ready solutions used in some of the world's most advanced logistics environments.
 

Your responsibilities

As a Senior Software Engineer, you will:

  • Design, develop, and maintain software components for AI vision-enabled parcel management systems.
  • Translate operational and product requirements into reliable computer vision solutions.
  • Develop software that processes image and camera data to support real-time decision making within automated logistics systems.
  • Evaluate, integrate, and industrialize computer vision technologies, AI models, and supporting frameworks.
  • Collaborate closely with architects, product owners, automation specialists, and development teams to define scalable solution architectures.
  • Ensure software is maintainable, testable, secure, and aligned with Vanderlande engineering standards.
  • Support prototyping, validation, system performance optimization, and deployment activities.
  • Take ownership of technical solution design and contribute to the long-term AI vision technology roadmap.
  • Mentor and coach less experienced engineers through code reviews, design discussions, and technical guidance.
  • Help establish engineering best practices within the AI vision and software development domain.
     
Your profile

You are an experienced software engineer who enjoys working on complex technical challenges and turning innovative ideas into high-quality software products.

You bring:

  • A Bachelor's or Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Robotics, or a related field.
  • Extensive experience in software engineering, preferably within industrial automation, logistics, robotics, or other real-time environments.
  • Hands-on experience with computer vision, image processing, machine learning, or AI-based perception systems.
  • Experience designing and developing production-quality software using modern engineering practices.
  • Knowledge of software architectures, APIs, distributed systems, data processing pipelines, and system integrations.
  • Experience moving solutions from proof-of-concept to scalable, maintainable products.
  • A strong focus on software quality, performance, security, reliability, and maintainability.
  • Excellent collaboration and communication skills.
  • The ability to lead technical discussions, influence solution directions, and guide engineering teams without relying solely on formal authority.
     
Preferred qualifications
  • Experience with computer vision frameworks such as OpenCV or similar technologies.
  • Experience deploying AI/ML solutions in production environments.
  • Knowledge of cloud-native architectures and modern DevOps practices.
  • Experience with automation, robotics, sensor systems, or material handling environments.
  • Practical understanding of computer vision hardware fundamentals (cameras, optics/lenses, lighting, and optical filters)
     

What we offer

At Vanderlande, you will have the opportunity to be part of complex and meaningful projects that shape the future of logistics. We offer:

  • A full-time role in a dynamic, innovative, and international environment.
  • The opportunity to work on cutting-edge AI and computer vision solutions that have a direct impact on global logistics operations.
  • A structured onboarding and training plan to accelerate your development.
  • 22 vacation days, plus Easter and Christmas holiday weeks, and several Fridays with a reduced working schedule.
  • A flexible compensation plan.
  • Access to learning platforms and tailored training programs.
  • Career progression opportunities in a growing global organization recognized as a Top Employer.
  • Collaboration with international teams and leading technology specialists across Vanderlande.
  • The opportunity to help shape the future of AI-driven solutions within automated logistics.
     

Your application

If the role of Senior Software Engineer – AI Vision / Computer Vision appeals to you, please apply now by completing the application form and uploading your CV and cover letter.

For more information, please contact Abhijeet Nair at [email protected].
 

Diversity & Inclusion

Vanderlande is an equal opportunity employer. Qualified applicants will be considered without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.

Skills Required

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, Artificial Intelligence, Robotics, or a related field
  • Extensive software engineering experience, preferably in industrial automation, logistics, robotics, or real-time environments
  • Hands-on experience with computer vision, image processing, machine learning, or AI-based perception systems
  • Experience designing and developing production-quality software using modern engineering practices
  • Knowledge of software architectures, APIs, distributed systems, data processing pipelines, and system integrations
  • Experience moving proof-of-concept solutions into scalable, maintainable products
  • Strong focus on software quality, performance, security, reliability, and maintainability
  • Excellent collaboration and communication skills
  • Ability to lead technical discussions, influence solution direction, and guide engineering teams
  • Experience with computer vision frameworks such as OpenCV or similar technologies
  • Experience deploying AI or machine learning solutions in production environments
  • Knowledge of cloud-native architectures and modern DevOps practices
  • Experience with automation, robotics, sensor systems, or material handling environments
  • Understanding of computer vision hardware, including cameras, optics, lighting, and optical filters

Vanderlande Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanderlande and has not been reviewed or approved by Vanderlande.

  • Healthcare Strength — Health coverage is described as comprehensive, with day‑one eligibility in many U.S. roles and employer‑paid protections that reduce out‑of‑pocket exposure. Feedback suggests medical, dental, and vision are a clear strength.
  • Retirement Support — Retirement offerings include a 401(k) with company match and immediate vesting in the U.S. Feedback suggests this forms a solid pillar of the total rewards package.
  • Leave & Time Off Breadth — Paid time off, sick leave, and paid holidays are characterized as generous relative to peers. Compressed workweek options in some roles further support time away and recovery.

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The Company
HQ: Veghel
7,500 Employees
Year Founded: 1949

What We Do

Vanderlande is the global market leader for future-proof logistic process automation at airports. The company is also a leading supplier of process automation solutions for warehouses and in the parcel market. Vanderlande’s baggage handling systems are capable of moving over 4 billion pieces of baggage around the world per year. Its systems are active in more than 600 airports including 12 of the world’s top 20. More than 52 million parcels are sorted by its systems every day, which have been installed for the world’s leading parcel companies. In addition, many of the largest global e-commerce players and retailers have confidence in Vanderlande’s efficient and reliable solutions. The company focuses on the optimisation of its customers’ business processes and competitive positions. Through close cooperation, it strives for the improvement of their operational activities and the expansion of their logistical achievements. Vanderlande’s extensive portfolio of integrated solutions – innovative systems, intelligent software and life-cycle services – results in the realisation of fast, reliable and efficient automation technology. Established in 1949, Vanderlande has more than 7,500 employees, all committed to moving its customers’ businesses forward at diverse locations on every continent. With a consistently increasing turnover of 1.8 billion euros, it has established a global reputation over the past seven decades as a highly reliable partner for future-proof logistic process automation. Vanderlande was acquired in 2017 by Toyota Industries Corporation, which will help it to continue its sustainable profitable growth. The two companies have a strong strategic match, and the synergies include cross-selling, product innovations, and research and development.

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