Lead Software Developer - Engine Performance

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The Engine Systems Performance team is looking for a programmer like you to join our team who has experience understanding technical changes and debugging and diagnosing issues across projects and code branches. Ideally you also enjoy the challenge of diving into a performance issue to discover the root cause and sharing solutions across teams. You will work with developers across the entire production pipeline, such as developers, production, designers and artists, to ensure our game and development workflows are performant.

Your work will have a strong impact on the players experience across multiple projects and activities within the Battlefield franchise.

Skills & Requirements:

• 7+ years of programming experience in C++ with a deep understanding of the language, best practices, and architectural considerations.
• Excellent problem-solving skills and a service-oriented mindset.
• Strong communication skills, capable of working effectively with both technical and non-technical partners across development and leadership teams.
• Expertise in concurrency, memory, and performance optimization.
• Proven experience in developing for multiple devices, including consoles and various hardware requirements.
• Proficiency in managing large codebases and multi-product development.
• Demonstrated ability to lead complex, multi-domain investigations to identify and resolve issues.
• Experience working with game engines such as Unreal, Unity, or Frostbite is preferred.
• Bonus: Familiarity with multiple profiling tools such as PiX, Superluminal, or Tracy Profiler.

Responsibilities:

• Collaborate with the Performance team and Engine organization to set and achieve team goals for your specific domain or area.
• Analyze game performance using various systems and tools, identifying and reporting areas of concern.
• Conduct root cause analysis for performance issues, proposing effective mitigation strategies and solutions.
• Assist game code and content developers in debugging and optimizing performance bottlenecks found during testing.
• Review technical design documents to identify potential performance pitfalls and recommend alternative implementations.
• Identify opportunities to improve tooling or workflows for better triaging, reporting, and analysis of performance issues.
• Adapt and evolve the current toolset to address new features or problem spaces.