Level

Ubisoft

Anti-Cheat Programmer (March of Giants)

Ubisoft is hiring an Anti-Cheat Programmer (March of Giants) in Montreal, Canada. Level rates it ; you can apply on Ubisoft.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • Level lists 321 other open roles at Ubisoft.

AI in this role

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help create the unknown!

The incumbent is responsible for contributing to the mission of the March of Giants anti-cheat team, ensuring a fair and competitive environment for the community. This role focuses on both the prevention and detection of cheating through a dual approach: code hardening and advanced detection.

The incumbent will make the game client more resilient against manipulation by implementing encryption, obfuscation, and platform-level security features. They will also help enhance robust detection systems, including in-game metrics, machine learning, and AI-based methods.

To succeed in this position, the incumbent must combine the skills of a security professional with the mindset of an engine programmer, implementing complex security features directly into the game engine and ensuring seamless integration with the client’s UI and Ubisoft’s online services.

What you'll do

  • Develop and implement core anti-cheat technologies directly within the game engine, focusing on code hardening and client security, and integrating with March of Giants and Ubisoft online systems.
  • Integrate and maintain platform security features to strengthen the game's defense against cheats.
  • Analyze existing cheats in partnership with Security Researchers to understand their functionality and use this knowledge to develop new protections and detection methods.
  • Apply your knowledge of Windows internals and operating system security to identify and mitigate vulnerabilities.
  • Collaborate with the broader development team to ensure our anti-cheat solutions are effective, performant, and do not negatively impact the player experience.
  • Debug complex issues related to game security and performance and propose optimal solutions.
  • Stay up to date with the latest trends in game security, reverse engineering, and cheat development to proactively counter emerging threats.

What you bring

  • A degree in Computer Science or Software Engineering (or other relevant training)
  • A Hacker Mindset: You're naturally curious and enjoy digging into how things work, and more importantly, how they can be broken.
  • Security Expertise: Proven experience in cybersecurity, vulnerability analysis, or a similar field. Knowledge of game protection technologies, including obfuscation, anti-tamper measures, and various forms of detection is highly valued.
  • Strong C++ Skills: Proven experience in C++ programming, with a solid understanding of low-level systems, multi-threading, and memory management.
  • Windows Internals Knowledge: A deep understanding of Windows operating system architecture, APIs, and security mechanisms.
  • Problem-Solving Skills: The ability to solve complex technical challenges and a knack for anticipating potential security vulnerabilities.
  • Communication & Collaboration: A collaborative spirit and excellent communication skills to work effectively with various teams and stakeholders.

     

      How we rate this

      Anti-Cheat Programmer (March of Giants) at Ubisoft rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

      Classification

      Little AI. AI is not part of the work.

      1. ●●●● Builds AI80 to 100
      2. ●●●○ Works on AI60 to 79
      3. ●●○○ Uses AI40 to 59
      4. ●○○○ Little AI0 to 39

      Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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