Bear Robotics

We’re looking for a Systems Engineering Intern who is passionate about Linux, infrastructure tooling, and systems-level engineering. You’ll work closely with the Infrastructure and DevOps team to help automate, manage, and scale internal systems using tools like Kubernetes, Terraform, and Bazel. This role is ideal for candidates who enjoy combining complex systems, care about correctness and reproducibility, and have a strong curiosity about system reliability and security. While this is not a security engineering role, we value interns who approach their work with a security-aware mindset.

• →Build and maintain infrastructure-as-code using Terraform across cloud environments. Deploy Kubernetes services and help improve deployment tooling.
• →Support and extend Bazel-based build and test workflows for high-performance development pipelines.
• →Write and refine internal tools and scripts in Bash, Python, or Rust.
• →Participate in infrastructure projects focused on improving developer experience, scalability, and system observability.
• →Contribute to internal documentation and lightweight process automation.

• Currently pursuing a degree in Computer Science, Engineering, or a related technical field. Familiarity with Linux system internals (file systems, processes, networking). Interest in infrastructure, automation, and systems security fundamentals (e.g., least privilege, clean architecture, reproducible builds).
• Basic familiarity with infrastructure and deployment tools like Terraform, Kubernetes, or Docker.
• Some experience with scripting in Bash, Python, or another scripting language. Motivated, curious, and capable of learning quickly in a hands-on environment.
  
  
  

• Experience with or interest in Rust for systems-level development and tooling.
• Contributions to open-source projects or personal infrastructure automation work
• Familiarity with Bazel or other advanced build systems (e.g., Pants, Buck).
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Understanding of CI/CD workflows or developer toolchains.

Firsthand experience with large-scale infrastructure and developer tooling. Exposure to automation pipelines and internal platforms that support real production systems. Mentorship from engineers working across infrastructure, developer experience, and systems architecture.

Opportunities to work with modern systems tooling in a supportive and intellectually curious environment.