Senior DevOps Engineer, ML Infrastructure

• Deploy and maintain our ML training orchestration system that operates across multiple platforms.
• Manage cloud and on-premise environments for large-scale distributed data processing and ML training/inference systems.
• Automate deployment pipelines, monitoring, and alerting for ML and data services.
• Collaborate closely with data scientists, ML engineers, and autonomy teams to streamline experimentation and model deployment.

Your work will make a significant impact on our autonomous capabilities and act as a catalyst for the entire autonomy team, helping us train our next generation of ML models to reimagine how things move in cities through robotic deliveries.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent experience.
• 5+ years of experience as a DevOps, SRE, or Infrastructure Engineer, preferably supporting ML or data-intensive systems.
• Strong experience with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker).
• Proficiency in infrastructure-as-code tools such as Terraform or Helm.

Base salary range (Canada - all locations): $130k - 160k CAD. The base salary range listed in this job description reflects compensation for candidates based in the United States.

Serve Robotics is reimagining how things move in cities through personable sidewalk robots designed to take deliveries away from congested streets, make deliveries available to more people, and benefit local businesses.