System Software Engineer
- AI We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We hold ourselves accountable to one another and to the quality of the work we deliver. Headquartered in Silicon Valley, we operate across a mix of remote and on-site locations in the U.
We arelooking for a talented System Software Engineer to help us redefine the infrastructure layer of AI. In this role, you will bridge the gap between high-level AI frameworks and low-level system software. You will be responsible for designing and implementing the communication and execution primitives that allow large-scale AI models to run efficiently across thousands of GPUs. We are looking for a "builder" who thrives in the early stages of a product’s lifecycle and is passionate about solving the "hard" systems problems of the generative AI era. Collaborate across the stack to influence the design of our foundational technology,



ensuring it meets the needs of next-generation AI models. Identify and resolve performance bottlenecks in distributed training and inference workloads through deep-dive analysis of the software-hardware interface. Conduct rigorous performance benchmarking and characterization on multi-node clusters. Solid proficiency in C++ and Python, with a deep understanding of systems programming fundamentals (memory management, concurrency, OS internals). Proficient in a Linux development environment. Experience with GPU programming (CUDA) and performance optimization for parallel architectures. Familiarity with distributed AI frameworks (PyTorch, JAX, or DeepSpeed) and/or inference engines (vLLM, SGLang, Dynamo/TRT-LLM). Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field. Target base salary for this role is $120,000
- $180,000 CAD per year + meaningful equity + benefits + RRSP.

📌 Software Systems Engineering (Canada)
🏢 Delos Data
📍 Canada