GPU Software Engineer – Energy Efficiency Team

We are looking for a highly motivated individual to join our mobile GPU team, focusing on performance and energy efficiency modeling and optimization solutions across the graphics stack. As a modeling and solutions engineer, you will work on workload characterization and analysis, research and design innovative solutions, develop proofs of concept, and collaborate closely with the production team to implement new technologies.

You will be joining a world-leading technology company at their labs in Cambridge.

Responsibilities
 

• Develop tools for workload characterization, tracing, and simulation.
• Investigate high-performance GPU system designs, providing critical data to support key decision-making processes.
• Analyze and extract unique features from real-world scenario workloads, offering essential insights for GPU systems research.
• Propose and prototype innovative solutions to enhance mobile GPU performance and power efficiency, and work with production teams to implement these technologies.

Qualifications
Required
 

• Proficiency in Python, C/C++, and Linux.
• Familiarity with Vulkan and/or EGL.
• Excellent collaboration and interpersonal skills.
• Background in computer architecture and digital systems.

Desired
 

• Knowledge of GPU/CPU/NPU architecture.
• Experience in graphics application and game development.
• Familiarity with Unity and/or Unreal.

Benefits

• Annual Bonus
• Relocation Package
• Lunch Vouchers
• Equipment (laptop, etc.)