At a Glance
- Tasks: Design communication layers for efficient AI model execution and tackle systems challenges.
- Company: Dynamic Montreal startup redefining AI infrastructure.
- Benefits: Hybrid work environment, competitive salary, and opportunities for innovation.
- Other info: Great opportunity for career growth in a cutting-edge tech environment.
- Why this job: Join a passionate team and drive innovation in the exciting field of AI.
- Qualifications: Proficient in C++ and Python, with a background in systems programming.
The predicted salary is between 135000 - 165000 $ per year.
Join a dynamic startup as a System Software Engineer, focusing on AI infrastructure in a hybrid setting based in Montreal.
You will design essential communication layers for efficient AI model execution.
Our Montreal-based startup is on the lookout for a passionate System Software Engineer to redefine AI infrastructure.
You will bridge high-level AI frameworks with low-level system software, addressing challenges in performance and scalability.
The work entails collaborating on foundational technology and tackling systems problems in the generative AI sphere.
Key
Responsibilities
- Influence foundational technology design across the stack
- Resolve performance bottlenecks in distributed training workloads
- Conduct performance benchmarking on multi-node clusters
Requirements
- Proficiency in C++ and Python, adept in systems programming
- Experience with Linux development environments
- Strong understanding of concurrency and OS internals
- Bachelor's or Master's in Computer Engineering or related field
- Knowledge of GPU programming (CUDA) preferred
Deliver top-tier systems solutions while driving innovation in AI with a trusted team. #J-18808-Ljbffr
System Software Engineer for AI Infrastructure in Québec employer: Delos Data
Delos Data is an exceptional employer that fosters a collaborative and innovative work culture in the vibrant city of Montreal. With a strong focus on employee growth, we offer opportunities for professional development and hands-on experience in cutting-edge AI infrastructure projects. Our hybrid work model ensures flexibility while being part of a dynamic team dedicated to pushing the boundaries of technology.
