Senior Platform Performance Engineer responsible for optimizing rendering, GPU, CPU, memory, and streaming performance across PS5, Xbox Series X|S, and PC for a AAA Unreal Engine 5 title.
Compensation
The pay range for this position in California at the start of employment is expected to be between $112,700 and $166,820 per year.
Responsibilities
Profile and optimize GPU, CPU, memory utilization, and streaming on PS5, PS5 Pro, Xbox Series X|S, and minimum-specification PC.
Implement Build, Cook and Runtime systems to support multiplatform/multiresolution game content within memory and performance targets.
Partner with Rendering Engineering and Technical Art to define construction guidelines and scalability pipelines for 60+ FPS Quality and 120+ FPS Performance modes.
Implement platform and scalability-specific rendering features.
Senior Platform Performance Engineer to support AAA multiplatform Unreal Engine 5 title on consoles and PC with high performance modes.
Compensation
The pay range for this position in California at the start of employment is expected to be between $112,700 and $166,820 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job-related knowledge, skills, experience, and other objective business considerations. Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards, in addition to a full range of medical, financial, and/or other benefits.
Responsibilities
Profile and optimize GPU, CPU, memory utilization, and streaming on PS5, PS5 Pro, Xbox Series X|S, and minimum-specification PC.
Implement Build, Cook and Runtime systems to support multiplatform/multiresolution game content within memory and performance targets.
Partner with Rendering Engineering and Technical Art to define construction guidelines and scalability pipelines for 60+ FPS Quality and 120+ FPS Performance modes.
Implement platform and scalability-specific rendering features.
Lead performance optimization for large language model training and inference on NVIDIA GPU clusters, improving GPU utilization, memory footprint, and distributed training efficiency.
Locations (2)
Cambridge, Massachusetts, United States
San Francisco, California, United States
Compensation
Expected Base Salary Range
$148,000—$240,000 USD
Responsibilities
Profile and optimize GPU compute kernels for large language models
Optimize GPU cluster performance for collective/MoE frameworks and RDMA/IB/EFA usage
Manage big data pipelines for mid-training scale data
Optimize reinforcement learning pipelines and async cycles
Ensure optimized configurations are tested, accessible, and adaptable for research tasks
Requirements
Bachelor's or Master's in Computer Science or related quantitative field
Shape the future of AI in Intellectual Property by setting the vision for the Data Science & AI organization and turning advances in machine learning, Generative AI, and Agentic AI into scalable products, smarter operations, and measurable business value.
Compensation
The expected base salary for this position is $240,000–$300,000 USD per year. This role is eligible for bonus earnings. Individual pay is based upon experience, education, skill and ability, expertise, and relevant factors.
Responsibilities
Define and execute the enterprise data science and AI vision, aligning investment and delivery with business strategy, product innovation, and long-term growth.
Differentiate our products, operations, and customer experiences through AI.
Create a multi-year roadmap for machine learning, Generative AI, Agentic AI, and advanced analytics adoption.
Lead the strategy, architecture, and implementation of Generative AI and Agentic AI solutions across the business.
Build scalable AI agents, copilots, assistants, reasoning systems, and workflow automation capabilities.
