1 час назад
System Software Engineer (AI)
100 000 - 180 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
System Software Engineer (AI) (C++/Python, GPU Systems): Building communication and execution primitives that enable large-scale AI models to run efficiently across thousands of GPUs with an accent on systems programming, distributed training and inference, and software-hardware performance analysis. Focus on identifying bottlenecks, benchmarking multi-node clusters, and optimizing parallel AI workloads.
Location: Hybrid in Montreal, Canada
Salary: 100,000–180,000 CAD per year, plus equity, benefits, and RRSP
Company
is a stealth-mode startup developing foundational infrastructure to improve performance, scalability, and resiliency in large-scale AI data center clusters.
What you will do
- Design and implement communication and execution primitives connecting high-level AI frameworks with low-level system software.
- Help shape foundational infrastructure for next-generation AI models.
- Analyze and resolve performance bottlenecks in distributed training and inference workloads.
- Investigate the software-hardware interface and conduct performance benchmarking on multi-node clusters.
- Collaborate across the technology stack on early-stage product development.
Requirements
- Strong proficiency in C++ and Python.
- Deep understanding of systems programming fundamentals, including memory management, concurrency, and operating system internals.
- Proficiency in a Linux development environment.
- Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
Nice to have
- GPU programming experience with CUDA and performance optimization for parallel architectures.
- Experience with distributed AI frameworks such as PyTorch, JAX, or DeepSpeed.
- Experience with inference engines such as vLLM, SGLang, Dynamo, or TRT-LLM.
- Hands-on experience with large-scale cluster orchestration and telemetry tools.
Culture & Benefits
- Work alongside experienced builders and operators in an early-stage product environment.
- Collaboration is based on trust, integrity, respect, unity, and shared responsibility.
- Benefits include meaningful equity, employee benefits, and RRSP contributions.
- The company operates across remote and on-site locations in the United States and Canada.
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