Computer Vision jobs

We are an innovative, Vancouver-based startup at the forefront of robotics, AI, and machine vision technologies. Backed by VC funding and we’ve been recognized with the 2025 Frost & Sullivan Technology Innovation Leadership Award, the AAM Supplier Excellence Innovation Award, and the 2024 BC Tech “Company of the Year – Growth”, we are on a mission to redefine the future of AI-driven robotic vision systems. 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 handle objects with human-like capability. Challenging applications such as bin picking, sorting, packaging, and assembly are now open to fast, precise, and reliable automation. Apera is led by an experienced team from high-growth companies focused on robotics, artificial intelligence, and advanced manufacturing.

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 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.

What You’ll Learn

• How production cloud infrastructure supports AI and robotics systems

• Practical use of Infrastructure as Code (Terraform, CDK, or similar)

• Observability, reliability, and secure system design

• How cross-functional teams ship and operate complex systems

Why This Co-Op Is a Great Experience

• Real impact, real systems: Your work will support systems used in real factories and not toy projects or internal demos.
• Strong mentorship: You’ll work closely with experienced engineers who provide guidance, feedback, and learning opportunities.
• Exposure to cutting-edge technology: Robotics, AI, computer vision, and cloud infrastructure all intersect here.
• Growth-focused environment: We value curiosity, learning, and thoughtful problem solving over knowing everything on day one.

What We’re Looking For

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Software Engineering, or a related field

• Coursework or project experience with cloud platforms (AWS, GCP, or similar)

• Programming experience in at least one language (e.g., Python, Go, JavaScript/TypeScript)

• Familiarity with Git and basic software development workflows

• Interest in distributed systems, cloud infrastructure, and DevOps.

• Strong communication skills and willingness to learn

Nice to Have (Not Required)

• Exposure to Docker, containers, or Kubernetes

• Familiarity with Infrastructure as Code tools (Terraform, CDK, CloudFormation)

• Experience with CI/CD tools through coursework or personal projects

• Interest in robotics, AI, or large-scale systems

Why You’ll Love It Here

• Purpose with impact: Help enable smarter, safer automation in real industries

• Learning by doing: Apply academic knowledge to real production systems

• Supportive culture: Collaborative, curious, and people-first

• Great location: Gastown office with transit access and a vibrant tech community

To apply: While submitting your application, please ensure you upload both your resume and transcript, either combined into a single file or as separate files.

• Assessment: After applying, you will be selected to complete a TestGorilla assessment and walk away with results you can reuse in any future job applications.
• Interviews: Take part in interview conversations focused on real problem-solving, how you work, and what you want to learn from the co-op.
• Background Check: A brief check is completed as required before an offer.
• Timeline: Receive a decision within three to four weeks, so you can plan your journey with confidence.
• Human Review: Your application is reviewed by real engineers and people-team members who care about your growth.