Full Time Job

R&D Programmer - LA Forge


Toronto, ON 03-18-2024
  • Paid
  • Full Time
  • Mid (2-5 years) Experience
Job Description
R&D Programmer (Software Engineering) - La Forge

At Ubisoft, the creation of games on our major brands is the result of a massive collaboration between crafts. This represents a major challenge to ensure better efficiency in the programming business and in relation to the stability and performance of our machines.

As an R&D programmer at Ubisoft Toronto's La Forge, your role will consist of two things: you will transform proof-of-concept prototypes into production-ready technologies, and you will simplify collaboration between your team members within the Quality Foundation research group.

At La Forge, this team focuses on quality issues within video game production and uses state-of-the-art techniques in software engineering and artificial intelligence.

Under these links you will find publications from our group:
• ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification
• Searching Bug Instances in Gameplay Video Repositories
• Code Impact Beyond Disciplinary Boundaries : Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact

Your technical expertise combined with your communication skills will be invaluable in everything you do. When it comes to the transformation part of your work, you'll adapt prototypes into minimum viable products, making it easier for game development teams within the company.

In terms of simplification, you will create and maintain prototyping tools, standardize processes and share best practices to increase La Forge's efficiency.

What you'll do
• Design, code, and integrate research-based prototypes in game engines & internal middleware.
• Work closely with research scientists and production leads.
• Push prototypes to minimal viable products for game development teams.
• Partner with product teams to release complete product packages that meet production quality criteria (robustness, documentation, completeness, and performance).
• Develop and maintain prototyping tools and infrastructure to facilitate collaboration between researchers.
• Encourage standardization of frameworks, libraries, etc. among R&D teams + recommend and share best practices.


What You'll Bring
• A master degree or PhD in Computer Science, Software Engineering, or equivalent
• At least 3 years of software development experience or related experience with a focus on machine learning in the gaming industry
• Proficiency in Python & C++
• Experience using game engines (e.g., Unity, Unreal or equivalents)
• Experience with deep learning frameworks (e.g., PyTorch or Tensor Flow)
• Knowledge of Machine Learning (Techniques & Deployment of model)
• Knowledge in applying Machine Learning or other related data driven methods to solve character creation and animation
• A highly collaborative and solution-oriented spirit
• Curiosity and critical thinking
• Excellent communication, interpersonal, and presentation skills
• Motivation to innovate in the video game industry & adapt to its (constantly evolving) rhythm
• A desire to innovate, to take risks, and to learn from your mistakes and from your team members

Nice to have
• Experience with storage systems, distributed systems, high-performance computing, or CUDA programming
• Knowledge of Linux and Windows OS
• Hands-on experience in cutting-edge techniques like deep learning or algorithmic foundations of optimization
• Hands-on experience with empirical software engineering techniques (code-base data mining, git/perforce history manipulation, build configs and logs, …)
• Hands-on experience with software engineering artifacts (patch, dump, asts, commits, cfgs, …)

Jobcode: Reference SBJ-rj0e12-3-234-244-181-42 in your application.

Company Profile

Ubisoft’s worldwide network of video game development studios and business offices work hand-in-hand each day to deliver rich and innovative gaming experiences that reflect the creativity and diversity of their teams