Software Engineer (AI Infrastructure)

Location: Burnaby, British Columbia, Canada

Company

Builds next-generation networking and distributed systems infrastructure for AI data centers, backed by over $610M in funding.

What you will do

• Architect and ship production-grade software for core networking and distributed systems using C, C++, Python, and open-source stacks such as SONiC.
• Drive hardware-software co-design for packet processing, congestion control, and ASIC memory management for large-scale AI workloads.
• Own platform components throughout their lifecycle, from architectural trade-offs and bring-up through deployment and high-availability operational support.
• Design ultra-low-latency telemetry and monitoring pipelines, automated fault recovery systems, and CI automation for low-level systems.
• Translate customer requirements into scalable technical designs, implementation plans, and performance metrics.
• Partner with customers and internal hardware and product teams during trials, production bring-up, and technical escalations.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
• Strong programming ability in one or more of C, C++, and Python.
• Solid understanding of systems software, distributed systems, operating systems, or embedded systems.
• Strong problem-solving and debugging skills, including the ability to break down complex technical problems.
• Track record of taking ownership from asking the right questions through implementation, validation, and follow-through.
• Comfort working in a fast-moving environment with evolving priorities and contributing beyond a narrowly defined role.

Culture & Benefits

• Work on infrastructure at the convergence of low-level systems software, open-source networking, and hardware-software co-design.
• Take end-to-end ownership of mission-critical platform components.
• Collaborate directly with customers and internal hardware and product teams.
• Contribute to technology powering global AI data centers.