About The RoleAs 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.
