Let’s work together.
If you are interested, send an email with your cv to hr at perciv.ai, and include in the email how you satisfy the “MUST HAVE” points of the role.
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Level: Junior
Location: Delft, Netherlands
Type: Full-Time, On-site, 1-day per week home office possible
We are seeking a detail-oriented Financial Administrator with 2-4 years of professional experience to oversee and manage our financial processes. You will play a key role in ensuring smooth day-to-day financial operations and supporting management in decision-making with accurate, timely financial data.Responsibilities
Manage accounts payable and receivable, invoicing, and expense tracking
Maintain accurate financial records and reconcile accounts regularly
Support budget preparation, monitoring, and reporting
Assist with payroll administration and employee reimbursements
Liaise with external accountants, auditors, and financial institutions
Prepare financial statements, reports, and forecasts for management
Ensure compliance with local financial regulations and company policies
Contribute to improving financial processes and internal controls
Requirements
Bachelor’s degree in Finance, Accounting, or a related field focusing on Dutch tax
system, Dutch accounting standards, Payroll & HR
2–4 years of experience in financial administration, accounting, or similar role
Strong knowledge of bookkeeping and financial reporting principles
Excellent organizational skills and attention to detail
Ability to manage multiple priorities and meet deadlines
Strong communication and collaboration skills
Native Dutch Speaker
Good understanding of book-keeping for Dutch and EU-level grant/subsidies
What We Offer
Opportunity to work in a fast-growing AI startup shaping the future of perception systems
1-year contract, which can be extended to a permanent position
Competitive compensation package
Flexible working hours
4 days work-from-home per month
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Level: Senior
Location: Delft, Netherlands
Type: Full-Time, On-site, 1-day per week home office possible
We are seeking a machine perception engineer with a strong background in software development and applied machine learning. The ideal candidate will contribute to the advancement of our radar perception stack, annotation stack, focusing on novel feature development, sensor fusion, and scalable, robust algorithm design. The role involves close collaboration with robotics, MLOps, and acceleration engineers to ensure seamless deployment on real-world systems, and also active collaboration with the customers themselves either remotely or on-site.
Key ResponsibilitiesDevelop novel features and core components of Perciv’s radar perception software, ground truth generation stack, and sensor fusion solutions
Implement and test algorithmic modules for preprocessing, backbone networks, postprocessing, and sensor fusion algorithms
Enhance and maintain the Perciv AI SDK and function libraries to support training, testing, and deployment workflows
Design modular, unit-tested pipelines for perception development
Integrate perception components into ROS/ROS2-based systems in collaboration with Robotics Engineers
Work with Acceleration Engineers to optimize software for resource-constrained hardware platforms
Support model training, evaluation, and dataset workflows using cloud resources in collaboration with the MLOps team
Ensure high code quality through documentation, coding standards, and githook enforcement
Collaboration with customers either remotely or at the customer’s site
QualificationsExpertise
Master’s or PhD in Computer Science, Machine Learning, Robotics, or a related field (Must Have)
Proficiency in Python and/or C++, with experience using AI/ML frameworks such as PyTorch (Must Have)
Strong background and industry experience in perception algorithm development (Must Have), ideally involving 3D data
Familiarity with ROS/ROS2 and Dockers (Must Have)
European Driving License (Must Have)
Currently living in EU (Must have), preferably NL
Preferred Experience
Hands-on experience developing perception systems for automotive, robotics, or embedded applications
Experience optimizing ML pipelines for low-power and/or real-time environments
Publication in robotics domain
Soft Skills
Strong analytical and problem-solving abilities
Clear communication and team collaboration skills
Proactive mindset, comfortable in a dynamic startup environment
 
        
        
      
    
    
