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Parallel DomainPD

Senior Site Reliability Engineer

Parallel Domain is transforming the development of autonomous systems through its innovative synthetic data platform, enhancing safety and AI performance.

Parallel Domain

Employee count: 51-200

Salary: 145k-185k CAD

CA and US only

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We're hiring a Senior Site Reliability Engineer to help build and operate the infrastructure that validates the next generation of autonomous systems in high-fidelity virtual environments. This role sits at the core of how we run large-scale, distributed simulation workloads for autonomous-systems testing and validation.

Requirements

  • Experience in SRE, DevOps, or infrastructure engineering roles
  • Terraform, AWS, Kubernetes, and CI/CD experience
  • Kubernetes expertise, including cluster operations and autoscaling
  • CI/CD and GitOps experience, including GitHub Actions and ArgoCD
  • Networking fundamentals, including CIDR, DNS, and load balancing
  • Observability experience, including Prometheus and Grafana
  • Scripting experience, including Python and Bash
  • Cross-platform familiarity, including Linux and Windows environments

Benefits

  • Base salary range of CAD $145,000–$185,000
  • Equity
  • Full health/dental/vision coverage
  • Learning stipend
  • Generous vacation

About the job

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Job type

Full Time

Experience level

Salary

Salary: 145k-185k CAD

Location requirements

Hiring timezones

Canada +/- 0 hours, and 1 other timezone

About Parallel Domain

Learn more about Parallel Domain and their company culture.

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Parallel Domain is at the forefront of revolutionizing machine perception through synthetic data generation. Established in 2017, our company is rooted in the San Francisco Bay Area. We have rapidly assembled a diverse team of experts from around the globe, specializing in autonomous systems, graphics, simulation, and software development. Our innovative platform offers high-fidelity sensor simulation, enabling our clients to test and train AI models across various environments and conditions effectively.

The core of our technology, PD Replica, enables users to create digital twins from real-world environments, offering fully annotated and simulation-ready settings. This capability not only closes the sim-to-real gap but allows for the exploration of machine learning ideas with unparalleled realism and scalability. By transforming the development of AI systems, we aim to contribute to safer autonomous solutions that enhance public safety.

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Parallel Domain

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