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Software Engineer II, AI Apps and Cloud Infrastructure

Job in 3500, Utrecht, Utrecht, Netherlands
Listing for: United States Digital Space LLC
Full Time position
Listed on 2026-06-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 50000 - 70000 EUR Yearly EUR 50000.00 70000.00 YEAR
Job Description & How to Apply Below

the company is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. the company's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS® Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, the company delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more.

the company currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. the company is funded by the Soft Bank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock thier abilties in orchestration with intelligent machinges.

This role is located in our Utrecht office.

Position Overview

As a member of the Software Engineering team, the Software Engineer II, Apps and Cloud Infrastructure will play a crucial role on our AI team. As a key driver on the team, you will spearhead feature development aimed at massively scaling our AI infrastructure, fine-tuning cloud efficiency, and delivering services that power our next phase of growth.

Essential Job Functions
  • Develop, and maintain scalable and reliable cloud infrastructure on BrainOS Google Cloud Platform (GCP).
  • Collaborate with the Applied ML team and R&D team to design and implement efficient cloud services, ensuring high data quality and integrity.
  • Develop APIs and services to facilitate seamless integration between the sense cloud platform and various web and robotic applications.
  • Work closely with the web and application teams to understand their requirements and provide technical guidance and support.
  • Participate in testing activities, including unit testing, integration testing, and system testing, to ensure the reliability, performance, and quality of the cloud platform.
  • Monitor and optimize cost, performance and reliability of the sense cloud platform, identifying and resolving any issues or bottlenecks.
  • Stay up-to-date with the latest advancements in cloud technologies, sharing knowledge and best practices with the team.
  • Assist in other duties and responsibilities as assigned.
Required Education and Work Experience
  • Bachelor's Degree in Computer Science, Software Engineering or a related field.
  • 2-4 years of demonstrated experience in software development.
  • Experience in cloud engineering, with a focus on Google Cloud Platform (GCP).
Required Knowledge, Skills, Abilities and Other Characteristics
  • Familiar with programming languages such as Go, Python, and Type Script, with a demonstrated ability to write clean, maintainable code and using version control systems like git.
  • Familiarity with cloud infrastructure and related technologies (compute, storage, networking, etc.) on GCP.
  • Experience with infrastructure-as-code tools like Pulumi or similar technologies.
  • Familiar with designing and implementing scalable data engineering workflows and data pipelines.
  • Familiar with containerization technologies such as Docker and orchestration frameworks like Kubernetes.
  • Understanding of RESTful APIs and the ability to design and develop them.
  • Experience leveraging GenAI tools and coding assistants to accelerate development, enhance code quality, and automate routine engineering tasks.
  • Strong problem-solving and debugging skills, with a proactive and results-oriented approach.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • A passion for robotics, automation and technology.
  • Ability to multitask and flexibility to adjust to changing priorities.
Things that make a difference
  • Master's Degree in Computer Science, Software Engineering or a related field.
  • Experience with implementing and managing ML inference services at scale.
  • Experience with…
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