Software Developer

Apera is an innovative, Vancouver-based company at the forefront of robotics, AI, and machine vision — recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award and the 2024 BC Tech "Company of the Year, Growth" award. We're on a mission to redefine AI-driven robotic vision.

Apera AI helps manufacturers make their factories more flexible and productive. Robots enhanced with Apera's software have 4D Vision — the ability to see and grasp objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. We work with the world's leading automotive OEMs and Tier 1 suppliers.

Our portfolio spans Vue (our 4D Vision software), Forge (a no-code simulation and AI training studio where customers build, validate, and de-risk robotic cells before any hardware is bought), and VuePod, our new turnkey, productized bin-picking cell.

Role Overview: 

We’re looking for a Software Developer, Cloud Infrastructure (Co-Op) who is excited to learn how modern cloud platforms support AI-driven robotics systems. In this role, you’ll work alongside experienced engineers to help build and improve the cloud services that power our vision-guided robots, gaining hands-on experience with real production systems in a supportive, fast-learning environment. This co-op role requires 8 months term commitment (Jan 2027 - August 2027).

This is an opportunity to apply what you’ve learned in school to real-world infrastructure challenges, while developing practical skills in cloud engineering, DevOps, and distributed systems. This role is based in person at our Vancouver office and is an 8-month co-op term.

What You’ll Do 

• Build and improve cloud services: Contribute to scalable cloud services running on AWS or GCP. Learn how infrastructure is defined using Infrastructure as Code (IaC) and help implement improvements to existing systems. 
• Work with data and telemetry: Help develop or maintain systems that ingest, store, and expose telemetry from robotic and vision systems, enabling teams to monitor performance and diagnose issues. 
• Learn reliability and observability practices: Support efforts to instrument services with logging and metrics. Learn how teams think about uptime, monitoring, and safe system changes. 
• Apply secure engineering principles: Work with senior engineers to understand access control, secrets management, and secure-by-design cloud infrastructure. 
• Collaborate across teams: Partner with Robotics, Vision, and Software teams to understand how cloud systems support real-world robot deployments.