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.
Were 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.
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
./Ph.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
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
Numerical methods for solving partial differential equations problems
GPU acceleration of numerical algorithms using CUDA/OpenCL
Amazon Web Services APIs
Lightweight virtualization technologies (Docker etc.)
We are an open collaborative and supportive culture including skill shares and design critiques
We believe that employees should be owners which is why we provide stock option grants for full-time employees
We believe in supporting the health and wellbeing of our team which is why we offer a competitive health benefits package
As a remote-first team we believe in the importance of having the right set up which is why we offer a home office budget
Learning and development is critical to us which is why we have a self-directed learning budget
Stock option grants for full-time employees promoting a sense of ownership.
Competitive health benefits package.
It would be better to live in areas near Milan - ITALY where our office is located. You can work in a hybrid setup.
Discover: You discover the opportunity and apply to the role
Talk: You take part in a 30-45 minute screening call with the Hiring Manager to chat about the role and the team.
Deep dive: We have a 60 minute call to dive deep into your experience and the role.
Meet your team: You have a video call with a few other Xaba team members.
Offer: You receive an offer to join Xaba!
Inclusion and equity are the cornerstones of how we recruit hire and develop talent. We encourage applications from all candidates especially those who identify as members of the BIPOC community LGBTQ community women caregivers immigrants and people living with disabilities. We encourage candidates to include any accommodations you require in your application. We look forward to hearing from you.
./Ph.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
Your application has been successfully submitted!
Required Experience:
IC
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