C++ Software Engineer for Robotics - Padova, Italy

Location: Padova, Province of Padua, Italy; on-site. The customer's robotic lab is located near Padova.

Company

hirify.global develops AI-driven robotics automation solutions for industrial processes through a distributed team of scientists, engineers, and designers.

What you will do

• Research, design, and implement robust, scalable, high-performance computer algorithms.
• Investigate state-of-the-art computational methods through academic papers, workshops, and conferences.
• Develop scalable distributed algorithms and cloud-based systems while solving complex technical challenges.
• Collaborate with designers and software engineers across multiple locations.
• Mentor junior staff and interns.

Requirements

• M.Sc., Ph.D., or equivalent experience in Computer Science, Computer Engineering, Mathematics, Physics, or a related discipline.
• Fluent English and fluency in C++ and Python.
• Knowledge of computational geometry algorithms and methods.
• Excellent knowledge of linear algebra and calculus, with familiarity with Linear Programming, Mixed Integer Programming, Combinatorial Optimization, Constraint Programming, and Dynamic Programming.
• Expertise in API design, component architectures, and service-oriented software principles.
• Experience with automated testing and continuous integration frameworks.
• Exposure to software product development, delivery practices, and related tools.
• Experience researching, designing, and performance-optimizing complex algorithms, including parallel computing methods and frameworks.
• Familiarity with fundamental Modeling & Simulation principles and methods.

Nice to have

• Robotics knowledge, including inverse and forward kinematics, singularities, and trajectory planning.
• Additional optimization methods, including gradient estimation, Bayesian Optimization, and metaheuristic optimization.
• Mathematical modeling for complex regression tasks and Deep Learning.
• Interactive 3D graphics and data visualization.
• Numerical methods for partial differential equation problems.
• Distributed computing and GPU acceleration using CUDA or OpenCL.
• Amazon Web Services APIs and lightweight virtualization technologies such as Docker.

Culture & Benefits

• Open, collaborative, and supportive culture with skill shares, design critiques, and a bi-weekly reading group.
• Stock option grants for full-time employees and a competitive health benefits package.
• Four weeks of vacation for full-time employees plus an additional week off at the end of December.
• Home office budget and self-directed learning budget.

Hiring process

• 30–45 minute screening call with the Hiring Manager.
• 60-minute deep-dive call about experience and the role, followed by a video call with other hirify.global team members.
• Offer stage after the interview process; accommodation requests may be included in the application.