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AI Solutions Architect

1 tydzień temu

Gdańsk, Pomerania, Polska Intel Corporation Pełny etat

At Intel Corporation, we're transforming the future of AI and Deep Learning computing.

The Data Center & Artificial Intelligence Group (DCAI) is at the heart of this transformation. Our team focuses on developing disruptive solutions that will shape the future of AI and Deep Learning computing.

Salary and Benefits

We offer a competitive salary and benefits package that ranks among the best in the industry. This includes stock options, bonuses, as well as benefit programs which include health, retirement, and vacation.

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site.

Job Description

In this position, you will work with an experienced software engineering team on developing software solutions integrating our proprietary software stack for hardware deep learning accelerators with the most popular deep learning frameworks.

You'll have a chance to take part in advanced development programs, conferences, and have free access to a wide library of classroom and online courses, covering both soft and technical skills.

Required Skills and Qualifications

We're looking for a dynamic and motivated engineer who loves to lead others. The ideal candidate should have:

  • Python software engineering experience
  • Working experience with Python 3.10+
  • Ability to create simple libraries
  • Object-oriented programming
  • Experience with libraries like pybind, numpy, pytest, pdb
  • C++ experience and proficiency in software engineering practices
  • Experience with creating highly optimized software and algorithm design
  • Strong problem-solving and can-do attitude
  • Familiarity with working in a Linux environment (no need to have administrative skills)
  • Creativity and ability to think outside the box
  • Ability to define tasks for other engineers
  • Ability to coordinate technical work across teams
  • Experience with development (defining/planning/implementing) complex features requiring collaboration of multiple components
  • Excellent communication skills to work globally across various groups/divisions
  • Ability to lead technical work independently through various stakeholders across the organization

Audited knowledge of AI/machine/deep learning concepts and neural networks training is desirable but not required.