Full Stack Software Developer for Generative AI

2 weeks ago


Étreux, Hauts-de-France, United States Autodesk Full time

Job Title: Full Stack Software Developer for Generative AI

Estimated Salary: $140,000 - $170,000 per year (Boston, MA or Toronto, Canada)

About Autodesk's AEC Solutions Group

Our AEC Solutions group is leading the transformation of the architecture, engineering and construction (AEC) industry by integrating artificial intelligence (AI) technology into our products. We're enhancing our applications with cloud-native capabilities, including data at scale, edge computing, AI-based solutions, and advanced 3D modeling and graphics.

We're seeking a talented Full Stack Software Developer to join our team, collaborating with a versatile group of AI Researchers, ML Engineers, Software Architects, and Experience Designers to develop generative AI tools that transform the AEC industry.

Responsibilities:

  • Collaborate with engineers and experience designers to design, develop, and test working software
  • Contribute to the implementation of individual software components with a high emphasis on quality, test-driven development, and sound software engineering practices
  • Participate in software design reviews, conduct peer code reviews, and provide input and feedback to other members of the development team
  • Write unit/functional/regression tests for the code you create, and contribute to test automation, continuous integration, and deployment processes together with everyone else in the development team

Requirements:

  • BS or MS in Computer Science or related technical field
  • 4+ years of software engineering experience
  • Previous front-end web development experience working with Python/TypeScript/JavaScript/React/Next.js
  • Experience with microservices and RESTful web services, as a provider and a consumer
  • Experience with OpenGL/WebGL or other graphics programming interfaces
  • Understanding of modern software practices including Continuous Integration, Continuous Delivery, and Infrastructure-as-Code
  • Experience with Scrum and Agile development processes and methodologies


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