Careers at Aperaaiinc

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. 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 The compensation for this co-op role is CAD $3,600 to $4,500 per month. This is your opportunity to gain hands-on learning experience in one of the fastest-growing industries at the intersection of robotics, AI, and industrial automation. Note: Please ensure you upload both your resume and transcript, either combined into a single file or as separate files.

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: Apera AI is seeking a Full Stack Software Developer (Co-op) for the 8 months term period (Jan 2027 - August 2027) to join the team behind Apera Forge, our web-based simulation and development platform for vision-guided robotics. As a co-op developer, you'll contribute across the software stack-helping to deliver new functionality, improve developer tooling, and support the cloud infrastructure that powers Forge. This role is based in person at our Vancouver office and is an 8-month co-op term. You'll work with experienced engineers across product, cloud, and simulation domains. This is a hands-on role where your work will be reviewed, tested, and integrated into a real production system. Employee Value Proposition (EVP) Purpose Your work will directly support robotics engineers who rely on Forge to simulate and test robotic vision workflows. You'll help accelerate how robotic solutions are developed and deployed. Growth You'll gain experience with modern development practices including full-stack web development, CI/CD, cloud infrastructure, and developer tooling-all within a fast-paced robotics startup. Motivators You'll be part of a team that values clarity, iteration, and shipping working software. You'll learn how to write production-grade code, contribute to team rituals like sprint planning and code reviews, and see your work make a tangible difference. Major Objectives Ship a Full-Stack Feature by Mid-Term Within the first 8-10 weeks, collaborate on a small but meaningful feature-from ticket breakdown and UI mock-ups to API integration and deployment. Success is measured by quality, user experience, and test coverage. [Tech: React, Python, Flask, GitHub] Improve Developer Workflow or Test Coverage Identify a pain point in the development or testing workflow and propose a solution (e.g., test automation, build script improvement, better error logging). Aim to implement and document the improvement by the end of the term. [Tech: GitHub Actions, Pytest, Docker] Contribute to Cloud Deployment Reliability Support the maintenance of cloud infrastructure by helping monitor logs, address deployment issues, or improve scripts related to container builds or service health. [Tech: AWS, Docker, CloudWatch] Critical Subtasks Participate in sprint planning, stand-ups, and code reviews. Break down feature requests into tasks with guidance from mentors. Implement and test UI components in React, integrating with backend APIs. Write and run unit/integration tests for new features. Help reproduce and debug user-facing issues in test environments. Document what you build for future co-ops and developers. Culture and Situation Fit Apera Forge is built by a tight-knit, collaborative team that values clarity, simplicity, and learning by doing. You'll fit well if: You're eager to contribute and ready to learn by shipping real code. You enjoy solving technical problems and working across the stack. You're comfortable asking questions and sharing your progress. Required Qualifications Ex perience with either Python or React through coursework or projects. Familiarity with Git and basic web development practices. A desire to work with cloud-hosted applications and modern DevOps tooling. Bonus Experience (Not Required) Expe rience with AWS or Docker. Exposure to robotics, 3D graphics, or simulation environments. Contributions to open-source projects or previous co-op terms. 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 The compensation for this co-op role is CAD $3,600 to $4,500 per month. This is your opportunity to gain hands-on learning experience in one of the fastest-growing industries at the intersection of robotics, AI, and industrial automation. Note: Please ensure you upload both your resume and transcript, either combined into a single file or as separate files.

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 Apera AI is seeking a Machine Learning Applied Scientist (Co-op) for the 8 months term period (Jan 2027 - August 2027) to support the development of our 4D Vision Technology used by industrial robots to perform fast, precise tasks in manufacturing environments. This role is based in-person at our Vancouver office. In this role, you will apply machine learning and computer vision techniques to real-world challenges like robotic part picking and localization in structured, high-speed applications. You’ll prototype, evaluate, and improve models that are deployed on factory floors in industries such as automotive and industrial manufacturing. Employee Value Proposition (EVP) Purpose : You’ll contribute to the intelligence behind robotic systems that perform precise, high-speed automation tasks such as part picking and placement for stamped metal components or machined assemblies. Growth: You’ll gain hands-on experience applying academic concepts to production workflows and working with internal datasets, building robust models, and learning from system behavior in real deployments. Motivators: You’ll be part of a collaborative, fast-moving team, and see your models tested in simulation and on real industrial robots used in customer-facing solutions. Major Objectives Prototype and Evaluate Vision Models Within the first 90 days, implement machine learning models for object detection, depth estimation, or 6-DoF pose estimation. Benchmark performance using internal datasets that reflect real manufacturing conditions. [Tools: PyTorch, internal GPU cluster, dataset tools] Translate Research into Production-Relevant Improvements Identify and prototype methods from recent ML or computer vision research. Adapt them to our application domain and evaluate them against production baselines. Document findings and trade-offs. [Focus: Model speed, stability, accuracy under varying lighting and part geometry] Enhance Synthetic Data Generation for Model Training Contribute improvements to the synthetic data generation pipeline, focusing on expanding variation in object shape, material, and pose. Help ensure the dataset supports model generalization across production use cases. Critical Subtasks Evaluate the ML Development Environment In your first month, review the current training and validation tools. Identify areas for performance or usability improvements and contribute one concrete change by mid-term. Collaborate Cross-Functionally and Debug Model Issues Work with robotics and software engineers to understand deployment requirements and constraints. Assist in diagnosing issues with model performance observed during robotic testing or simulation, and help implement fixes or improvements. Own and Deliver a Scoped ML Project Lead a focused initiative such as testing a new augmentation strategy, developing a lightweight evaluation tool, or experimenting with model modifications for improved robustness. Present outcomes with metrics and insights at the end of the term. Support Research on a Strategic Vision Problem Join early investigations into longer-term capabilities, such as handling part occlusion or improving model behavior with similar-looking parts. Conduct benchmarking and literature review to inform future roadmap decisions. Culture and Situation Fit You’ll thrive if you value initiative, technical depth, and seeing data as a design lever, not just input. Apera AI is fast-paced, collaborative, and impact-driven. Engineers here build systems that make AI dependable in messy, real-world conditions You’ll thrive here if you: Want to apply ML to real-world problems in industrial automation. Are excited to see your work influence how robotic systems are built and deployed. Enjoy solving practical problems with research-informed tools. Qualifications Proficiency in Python and machine learning frameworks (e.g., PyTorch). Understanding of computer vision fundamentals (e.g., detection, segmentation, 3D geometry). Familiarity with model training, tuning, and evaluation workflows. Interest in robotics or applying ML in production-grade software. Bonus Experience (Not Required) Experience with synthetic data generation or tools like Blender. Exposure to 6-DoF pose estimation, point cloud processing, or depth sensing. Experience working in Linux or Docker-based environments. Familiarity with AWS services used in ML development workflows (e.g., S3, EC2, SageMaker). The compensation for this co-op role is CAD $3,600 to $4,500 per month. This is your opportunity to gain hands-on learning experience in one of the fastest-growing industries at the intersection of robotics, AI, and industrial automation. Note: Please ensure you upload both your resume and transcript, either combined into a single file or as separate files.

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: Apera AI is seeking a Software Developer (Co-op) with strong C++ skills and an interest in robotics to join our Apera Vue engineering team for the 8 months term period (Jan 2027 - August 2027). You'll contribute to the development of real-time machine vision applications that power robotic systems across manufacturing and automation environments. This role is based in-person at our Vancouver office. In this role, you'll build features in C++, support image processing and robotics integration, and contribute to testing efforts in both simulated and physical lab environments. Your work will improve the performance, reliability, and scalability of a system used on real factory floors. Employee Value Proposition (EVP) Purpose You'll contribute to the core of our 4D Vision Technology, helping robots perceive and act in complex, real-world environments. Your code will directly impact robotic accuracy, speed, and adaptability. Growth You'll deepen your understanding of robotics, computer vision, and modern C++ development. You'll gain experience working in a professional R&D environment with exposure to production code, lab hardware, and team-based workflows. Motivators You'll collaborate with engineers solving high-impact technical challenges. You'll take on meaningful tasks that go beyond academic exercises, seeing your code influence how robots make decisions in real time. Major Objectives Develop and Ship Core C++ Features for Apera Vue Within the first 8-10 weeks, contribute a discrete feature or performance improvement to the Apera Vue application. [Tech: C++, Qt, OpenCV] Support Robotic Integration and Image Processing Assist in testing and debugging real-world vision system behavior with robotic systems in the lab. Identify edge cases and performance issues. Suggest and test code-level improvements. [Tech: Linear algebra, multithreading, image pipelines] Improve Code Quality through Testing and Review Participate in unit testing, test coverage expansion, and refactoring. Contribute to automated testing infrastructure to ensure robustness as the product scales. [Tools: CMake, Git, GTest, internal CI tools] Critical Subtasks Participate in daily standups, planning, and code review sessions with experienced engineers. Implement C++ modules that interact with vision data, robot pose data, or internal image pipelines. Run and validate your code in a live robotic lab environment. Write tests and help investigate edge cases or bugs in production builds. Contribute to documentation and developer notes for the next co-op or new team members. Learn from performance profiling tools to understand how to optimize for speed and memory. Culture and Situation Fit At Apera AI, we blend scientific exploration with product execution. Our teams move quickly and iterate often, balancing R&D depth with industry-level engineering. You'll succeed here if: You enjoy learning by building and testing in the real world. You're curious about how software meets robotics, perception, and physical action. You value clean, well-documented code and thoughtful collaboration . Required Qualifications Strong knowledge of C++, including object-oriented design and memory management. Solid foundation in linear algebra, vectors, and 3D transforms. Experience with version control (e.g., Git). Experience with software projects through coursework, personal work, or prior co-op/internships. Bonus Experience (Not Required) Experience in Linux development environments. Exposure to computer vision or robotics libraries (OpenCV, ROS, PCL). Knowledge of multithreading or networking in C++. Familiarity with Python for scripting and automation The compensation for this co-op role is CAD $3,600 to $4,500 per month. This is your opportunity to gain hands-on learning experience in one of the fastest-growing industries at the intersection of robotics, AI, and industrial automation. Note: Please ensure you upload both your resume and transcript, either combined into a single file or as separate files.