Senior Software Engineer Computation/OptimizationWe are creating the factory of the future where disruptions are avoided, processes synchronized and value captured. Our factory operations management platform enables factory teams to be more agile and resilient in a world where supply chain disruptions occur every 16 minutes. Pelico empowers users to identify bottlenecks, avoid problems, and focus on innovation instead of fire-fighting. Since our foundation in 2019, we’ve partnered with industry leaders across aerospace, industrial equipment, and luxury watchmaking, revolutionizing factory operations in over 15 countries. Esteemed clients include Airbus, Safran, Cartier, Daikin, and Eaton.
With a dynamic team of over 180 professionals across the US and France, Pelico is a melting pot of top-tier talent from Tech, Data Science, and Manufacturing domains.
Our collaborative environment fosters innovation and excellence, driving us to solve complex challenges and shape the future of manufacturing.
Our work has been recognized by Safran (Digital Transformation Award) and Microsoft (scale-up of the year).
Engineering turns Product ambition into scalable, reliable solutions that empower on-site operational teams.
We design a platform that handles high volumes, concurrent users, and complex workflows, while remaining modular, maintainable, and future-proof.
You will join Pelico’s algorithm engineering team to help improve the scalability and performance of the systems powering our optimization engine.
As Pelico’s platform processes increasing volumes of industrial data, one of our key challenges is ensuring that our algorithms can scale efficiently across large datasets.
Your work will focus on optimizing heavy calculations, improving algorithm scalability, and enabling efficient data partitioning and parallel processing.
Refactor and optimize existing algorithms to support larger data volumes
Design solutions that enable data partitioning and parallel processing
Improve the efficiency of heavy calculations performed across large industrial datasets
Design data partitioning schemes while ensuring algorithmic consistency and correctness across partitions
Design and implement backend services using Kotlin and Java within the JVM ecosystem
Optimize performance, memory usage, and computation efficiency
Ensure backend systems remain scalable, reliable, and maintainable
Collaborate with algorithm engineers and product managers to translate optimization problems into scalable software solutions
Contribute to technical discussions around system architecture and performance improvements
Contribute to the evolution of the platform to support large-scale industrial data processing
Identify performance bottlenecks and implement solutions that improve system efficiency
Your work will directly impact Pelico’s ability to scale its algorithm platform as our customers and datasets grow.
By improving the performance and scalability of our calculation engine, you will help industrial teams make faster and better operational decisions across complex factory environments.
5–10+ years of software engineering experience
Strong experience building backend systems in the JVM ecosystem (Java / Kotlin / Scala/ Clojure)
Solid computer science fundamentals (algorithms, data structures, distributed systems)
Experience working with large datasets or heavy calculation systems
Experience optimizing performance, memory usage, or large-scale backend systems
Strong analytical mindset and ability to work on complex technical challenges
Professional proficiency in English
Excellent communication skills and the ability to clearly explain technical concepts to non-technical stakeholders, with a strong sense of ownership and autonomy
Work on a highly impactful product that users love!
Office locations: In the heart of Paris (75002) and Miami, USA.
Stock Options: Available for every employee.
Remote Flexibility: Enjoy the freedom to work from anywhere.
Premium Health Coverage: Up to 70% covered by Pelico (Alan Healthcare).
Meal Allowance: €10/day worked, covered at 50% (via Swile card).
Transportation Support: 50% public transportation coverage or an equivalent sustainable mobility package.
Collaborative Environment: We foster a vibrant, growth-focused workplace where professional development and team connections thrive.
Screening call - 45 minutes
Technical interview with an engineer from the algorithm team - 1.5h
Product interview with the product team - 1h
Final discussion with engineering leadership - 30 minutes