Backend developer
Pubblicato il 25-08-2026 - bytecode in Italia
About Xaba Xaba is at the forefront of AI-driven robotics automation, pioneering cutting-edge solutions to enhance industrial processes. Headquartered globally, with a team of collaborative scientists, engineers, and designers, Xaba operates in a remote-first and distributed environment. Join us to revolutionize the future of AI applied to robotics. The Role We're looking for a Backend Developer to join the team. You will be responsible for finding computational solutions to complex technical challenges, spearheading investigation in scalable distributed algorithms and development of our cloud-based systems, whilst providing technical leadership to junior team members. What you will do Research, design and implement robust, scalable, high-performance computer algorithms Investigate state-of-the-art computational methods by reading relevant academic papers and attending appropriate workshops/conferences Collaborate with a multidisciplinary team including designers and software engineers in multiple locations About you M. D. in Computer Science, Computer Engineering,
or equivalent experience Fluent in Python and Rust Expertise in API design, component architectures, principles of service-oriented software Experience using automated testing and continuous integration frameworks Exposure to software product development and delivery practices and related tools Research, design and performance optimization of complex algorithms Parallel computing methods and frameworks Familiarity with fundamental Modeling & Simulation principles and methods Nice to have Computational geometry algorithms and methods Excellent knowledge of linear algebra and calculus and familiarity with mathematical optimization methods: Linear Programming, Mixed Integer Programming, Combinatorial Optimization, Constraint Programming, Dynamic Programming Knowledge of core robotic aspects: inverse and forward kinematics, singularities, trajectory planning"" Additional mathematical optimization methods: gra