DevOps Engineer
Mind Robotics2 months ago
Palo Alto, CA, USAMid Level
Responsibilities
- Design, deploy, and maintain scalable cloud infrastructure using AWS, GCP, or Azure.
- Build and maintain Infrastructure as Code using Terraform or similar tools.
- Develop CI/CD pipelines for robotics software, embedded applications, and machine learning workflows.
- Automate software deployment across development robots, test environments, and production fleets.
- Improve build systems, artifact management, release processes, and version-control workflows.
- Manage Kubernetes clusters and containerized services supporting robotics applications.
- Monitor infrastructure health, application performance, and production systems using observability tools.
- Improve system reliability, uptime, security, and disaster-recovery processes.
- Build internal developer tooling to increase engineering productivity.
- Partner with robotics, firmware, and ML teams to create reproducible development environments.
- Support simulation infrastructure and large-scale testing pipelines.
- Optimize cloud resource utilization and infrastructure costs.
- Implement infrastructure security practices for secrets management, networking, and access controls.
- Participate in incident response, root-cause analysis, and continuous operational improvements.
Requirements
- At least four years of experience in DevOps, Platform Engineering, Site Reliability Engineering, or Infrastructure Engineering.
- Strong experience administering Linux systems and troubleshooting production systems under operational constraints.
- Experience with AWS, GCP, or Azure, as well as Kubernetes and Docker in production environments.
- Strong Infrastructure as Code experience, with Terraform preferred.
- Experience building CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, Buildkite, or similar platforms.
- Experience with configuration management and automation tools.
- Proficiency with Python, Go, or Bash for infrastructure automation.
- Experience implementing monitoring and logging solutions such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.
- Strong understanding of networking, security, authentication, and distributed systems.
- Nice-to-have experience supporting robotics, autonomous systems, embedded software teams, physical-device fleets, GPU infrastructure, ML training clusters, simulation environments, edge computing, or IoT deployments.
- Nice-to-have experience with NVIDIA GPUs, CUDA environments, distributed training systems, artifact repositories, large binary assets, software supply-chain security, and SBOMs.
Tech Stack
AWSAzureBashBuildkiteDatadogDockerGitHub ActionsGitLab CI/CDGoGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxPrometheusPythonTerraform
Categories
About Mind Robotics
Mind Robotics builds generalizable industrial robots and the software runtime that lets them perceive, decide, and act under hard real-time constraints. It sells robotic systems and AI-driven middleware for factory-floor tasks, working directly with manufacturers; it has publicly cited a deployment partnership with Rivian. Founded in 2025 and headquartered in Palo Alto, the privately held company focuses on dexterous, adaptive automation for complex production environments.