System Software Engineer - AI

Delos Data; Quebec; Hybrid; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

RRSP

Benefits

Job summary

Delos Data is seeking a System Software Engineer to reshape the AI infrastructure, bridging high-level AI frameworks and low-level system software. You will design and implement communication and execution primitives enabling thousands of GPUs to run efficiently.

Required are strong C++/Python skills, Linux proficiency, and experience with CUDA and distributed AI frameworks. Hybrid role based in Montreal with equity, benefits, and RRSP.

Qualifications

• Strong proficiency in C++ and Python with systems programming fundamentals.
• 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).
• Hands-on experience with large-scale cluster orchestration and telemetry tools.

Responsibilities

• 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.

Skills

C++

Python

Linux

CUDA

Distributed AI frameworks

Telemetry tools

Cluster orchestration

Education

Bachelor's or Master's degree in Computer Engineering or Computer Science

Tools

CUDA

PyTorch

JAX

DeepSpeed

vLLM

SGLang

Dynamo

TRT-LLM

Job description

About Us

We are a startup building foundational technology to address performance, scalability, and resiliency challenges in large-scale AI data center clusters. We are backed by top-tier VC firms and notable angel investors.

The company is led by experienced builders and operators who have founded companies, taken them to scale, and exited successfully. We work with a strong sense of unity and shared responsibility, and we expect trust, integrity, and respect in how we collaborate and make decisions. 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.S. and Canada. We aim to create an environment where people are treated fairly, supported in their growth, and are empowered to do meaningful work alongside others who take the craft seriously.

Some Recent Press

https://www.eetimes.com/startup-boosts-scale-up-to-1000-gpus-in-a-single-domain/

We Are Looking For

We are looking 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.

Key Responsibilities

• 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.

Required Skills And Qualifications

• Strong proficiency in C++ and Python, with a deep understanding of systems programming fundamentals (memory management, concurrency, OS internals).
• Proficient in a Linux development environment.

Desired Skills

• 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).
• Hands-on experience with large-scale cluster orchestration and telemetry tools.

Education

• Bachelor's or Master's degree in Computer Engineering, Computer Science, or a related field.

Location:

This is a hybrid role based in Montreal.

Compensation

Target base salary for this role is $120,000 - $180,000 CAD per year + meaningful equity + benefits + RRSP. Our salary ranges are determined by role, level, experience, and location.

We are an equal opportunity employer. We value a range of perspectives and experiences and make employment decisions based on merit and business needs. We do not discriminate on the basis of legally protected characteristics.