Backend Python Developer

Summary

Join Xaba, a leader in AI-driven robotics automation, as a Backend Python Developer. You will contribute to the development of our cloud-based systems, focusing on scalable distributed algorithms and complex technical challenges. This role involves researching, designing, and implementing high-performance computer algorithms, collaborating with a multidisciplinary team, and mentoring junior staff. The ideal candidate possesses a M.Sc./Ph.D. in Computer Science or a related field, fluency in Python and C++, and expertise in API design. Xaba offers a remote-first work environment, stock options, competitive health benefits, four weeks of vacation plus an additional week off, a home office budget, and a self-directed learning budget.

Requirements

• M.Sc./Ph.D. in Computer Science, Computer Engineering, or equivalent experience
• Fluent in Python and C++
• 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

Responsibilities

• 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
• Mentor junior staff and interns to reach their best potential

Preferred Qualifications

• 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: gradient estimation, Bayesian Optimization, metaheuristic optimization
• Mathematical modeling methods for complex regression tasks, Deep Learning
• Interactive 3D graphics and data visualization
• Numerical methods for solving partial differential equations problems
• Distributed computing
• GPU acceleration of numerical algorithms using CUDA/OpenCL
• Amazon Web Services APIs
• Lightweight virtualization technologies (Docker, etc.)

Benefits

• Stock option grants for full time employees
• Competitive health benefits package
• 4 weeks vacation to all full-time employees plus an extra week off at the end of December
• Home office budget
• Self-directed learning budget