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C++ Software Engineer for Robotics

byte-code spa

Milano

Remoto

EUR 50.000 - 70.000

Tempo pieno

7 giorni fa
Candidati tra i primi

Descrizione del lavoro

A leading technology firm in Italy is seeking a C++ Software Engineer specialized in Robotics. You will design high-performance algorithms and lead investigations in scalable distributed systems while mentoring junior team members. Ideal candidates have strong C++ and Python skills, and a background in computational geometry. The position supports a remote-first work culture and offers competitive benefits, including stock options and a home office budget.

Servizi

Stock option grants
Competitive health benefits
4 weeks vacation plus extra week in December
Home office budget
Self-directed learning budget

Competenze

  • Strong understanding of mathematical optimization methods.
  • Experience with component architectures and service-oriented software.
  • Experience using automated testing and continuous integration frameworks.

Mansioni

  • Research, design and implement robust, scalable, high-performance computer algorithms.
  • Mentor junior staff and interns.
  • Collaborate with a multidisciplinary team in multiple locations.

Conoscenze

Fluent in C++
Fluent in Python
Computational geometry algorithms
Excellent knowledge of linear algebra
API design
Parallel computing methods

Formazione

M.Sc./Ph.D. in Computer Science, Computer Engineering, Mathematics, or related disciplines

Strumenti

Automated testing frameworks
CUDA/OpenCL
Docker
Descrizione del lavoro

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 C++ Software Engineer specialized in Robotics 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

  • Mentor junior staff and interns to reach their best potential

About you
  • M.Sc./Ph.D. in Computer Science, Computer Engineering, Mathematics, Physics or related disciplines - or equivalent experience

  • Fluent in C++ and Python

  • 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

  • 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

These are the things you’re likely to work on, so if you have any experience in the following, great! If you don’t have experience in the following, we still encourage you to apply.

  • 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.)

Our Team and Perks
  • We are an open, collaborative, and supportive culture including skill shares, design critiques, and a bi-weekly reading group

  • We believe that employees should be owners, which is why we provide stock option grants for full time employees

  • We believe in support the health and wellbeing of our team, which is why we offer a competitive health benefits package

  • We believe in balance and taking time to rest and recharge, which is why we offer 4 weeks vacation to all full-time employees plus an extra week off at the end of December.

  • 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

Our location

It would be better to live in areas near Milan - ITALY or near Toronto - CANADA, where our offices are located.

Our Hiring Process
  • 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!

Accommodations and Accessibility

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.

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