Software Engineer - New Grad 2026

About The Role

As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that directly impact performance, scalability, reliability, and usability of next-generation AI infrastructure.

This role is ideal for candidates with a strong interest in systems programming, networking, embedded systems, distributed infrastructure, or performance-oriented software engineering. Our teams work very closely with hardware, so candidates with experience primarily focused on higher-level application development or AI applications may be less aligned with the nature of this work.

You will gain hands-on experience working across multiple layers of a fully integrated AI-accelerated system, including advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks.

Responsibilities

• Collaborate with experienced engineers on real-world systems and infrastructure challenges.

• Design, implement, test, and debug software solutions that directly impact system performance and reliability.

• Contribute to low-level software components interacting closely with hardware and networking infrastructure.

• Learn and contribute across multiple layers of a fully integrated AI-accelerated platform.

• Participate in debugging, performance optimization, and system bring-up activities.

• Develop tools and infrastructure to improve observability, reliability, and scalability.

• Work cross-functionally with hardware, firmware, compiler, and infrastructure teams.

Required Qualifications

• Recently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline (graduating in 2026).

• Proficiency in C/C++ programming languages

• Interest or exposure to systems/socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance.

• Desire to work close to hardware/network and learn low-level engineering concepts.

• Detail-oriented but keen to learn the bigger picture and step out of comfort zone.

• Excellent communication and collaboration skills.

• Hybrid role based in Toronto, ON, or Sunnyvale CA

Assets

• Experience with Linux systems programming or debugging tools.

• Familiarity with TCP/RDMA protocols, RPCs, and packet trace tools such as Wireshark

• Exposure to networking concepts, device drivers, embedded systems, or distributed infrastructure.

• Familiarity with performance optimization or concurrent programming concepts.

• Interest in large-scale AI infrastructure and accelerated computing systems.