Staff AI Engineer leading Compass, Basis’s LLM - powered agent platform for digital media operations. Architecting agent systems, MCP/A2A integrations, evaluation, and AI - assisted engineering practices.
About the role
- System Software Engineer building communication and execution primitives for large-scale AI clusters. Optimizing distributed training and inference across thousands of GPUs.
Responsibilities
- Help redefine the infrastructure layer of AI
- Bridge high-level AI frameworks and low-level system software
- Design and implement communication and execution primitives for running large-scale AI models efficiently across thousands of GPUs
- Collaborate across the stack to influence the design of foundational technology for next-generation AI models
- Identify and resolve performance bottlenecks in distributed training and inference workloads through deep-dive software-hardware interface analysis
- Conduct rigorous performance benchmarking and characterization on multi-node clusters
Requirements
- Strong proficiency in C++ and Python
- Deep understanding of systems programming fundamentals, including memory management, concurrency, and OS internals
- Proficiency in a Linux development environment
- Experience with GPU programming using CUDA and performance optimization for parallel architectures
- Familiarity with distributed AI frameworks such as PyTorch, JAX, or DeepSpeed and/or inference engines such as vLLM, SGLang, or Dynamo/TRT-LLM
- Hands-on experience with large-scale cluster orchestration and telemetry tools
- Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field
- Authorization to work in Canada is requested in the application
- Ability to work in a hybrid role based in Montreal
Benefits
- Meaningful equity
- Benefits
- RRSP
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