Pipeline Engineer

Key Skills

Python Programming, PyTorch, TensorFlow, Apache Airflow, Kubeflow, Argo

Job Description

At Parallel Domain, we believe that autonomous systems – from self-driving cars to contactless delivery drones – have the opportunity to drastically improve the quality of life for billions of people. That is why we love what we do: enabling our customers to develop their technology safely using the Parallel Domain data generation platform. Our platform revolutionizes the way our customers generate sensor data for AI development. We're looking for people like you to join us in pushing the boundaries of artificial intelligence and synthetic data.

In this role, you will be responsible for architecting and building the pipeline powering Parallel Domain's data generation platform. The ideal candidate has experience with large-scale content generation and data processing in the cloud.

We can offer you a team of colleagues from disciplines across real-time graphics, procedural art, computer vision, machine learning and content production orchestration, all aligned on bringing the best solutions to our customers. Plus an opportunity to join an early stage company with proven product/market fit, and the ability to shape your role and the future of our company as we grow.

What You Bring:

• Professional experience building data pipelines for Computer Graphics or Machine Learning applications.
• Highly proficient in developing with Python, configuring with YAML, and gluing with JSON.
• Experience with building CI/CD or workflow orchestration systems.
• Strong collaboration skills.

Bonus Points:

• Experience with containerized, cloud-based infrastructure.
• Familiarity with AWS: Terraform, EKS, ASGs, S3, Lambda, SQS.
• Experience with render farm management systems.
• Knowledge of Unreal, Digital Content Creation tools (DCCs), 3D/2D asset management and review tools.
• Experience with image encoding/transcoding, image applications and libraries.
• Experience working with 3d geometric data (point clouds, mesh data, etc.)
• Experience with JavaScript, React.

Why join Parallel Domain?

We are assembling a team of talented visionaries crafting a new technology that will change the world. You will be able to learn, build, and scale in a collaborative, creative culture that values every team member.

We offer:

• Flexibility to work from our office in Yaletown, Vancouver or your home office
• Competitive compensation
• Employer-paid supplemental medical, dental, and vision benefits
• Paid vacation and sick time, winter shutdown, and 11 stat holidays each year
• Paid parental leave
• New hire equipment + accessories budget to optimize your setup
• $2,000 CAD annual learning and development allowance