10 часов назад
DevOps Engineer (Robotics)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (Robotics) (AWS/Kubernetes/Airflow): Building and operating CI/CD, data pipelines, and infrastructure as code for humanoid robotics research with an accent on reliable deployments, dataset processing, and secure cloud infrastructure. Focus on integrating simulation and hardware-in-the-loop testing, orchestrating robot data into training datasets, and establishing reproducible research workflows.
Location: On-site in Boston, MA; the R&D team is also described as based in Cambridge, MA
Company
develops risk-aware, field-ready AI systems for robotics and embodied intelligence, combining research with real-world deployment.
What you will do
- Build and operate CI/CD for the humanoid monorepo, including containerization, ECR publishing, unit tests, simulation gates, multi-architecture builds, and remote caching.
- Develop test infrastructure spanning simple simulation, Isaac Sim, and physical robots through ROS 2 messages or the robot REST API.
- Own Airflow-based data processing, from rosbag/MCAP ingestion and episode segmentation through format conversion and training delivery.
- Implement dataset lifecycle controls and maintain registries linking datasets to subjects, sessions, robots, and purposes.
- Manage AWS infrastructure as code across ECR, S3, IAM, VPC, EKS, ECS/Fargate, AWS Batch, RDS PostgreSQL, and networking.
- Support researchers and systems engineers, troubleshoot live pipeline and environment issues, and maintain reproducibility, runbooks, and architecture documentation.
Requirements
- 4+ years of experience in DevOps, platform, infrastructure, or SRE roles.
- Production AWS experience with ECR, S3, IAM, VPC, EKS, AWS Batch, and ECS/Fargate.
- Hands-on infrastructure-as-code experience with Terraform, CDK, Pulumi, or an equivalent tool.
- Experience designing and operating CI/CD at scale, preferably with GitHub Actions and self-hosted runners.
- Production Kubernetes, container build optimization, workflow orchestration, Python, Bash, Linux administration, networking, and observability experience.
- Ability to work on-site in Boston, MA and independently own infrastructure as the first dedicated infrastructure hire within the research team.
Nice to have
- Infrastructure experience in robotics, autonomous vehicles, or ML research.
- ROS 2, rosbag/MCAP, Foxglove, Isaac Sim, Isaac Lab, GPU scheduling, or hardware-in-the-loop CI experience.
- Experience with TB-scale sensor or video data, data governance, SOC 2 compliance, or access reviews.
- Previous experience as the first infrastructure hire on a team.
Culture & Benefits
- Define the infrastructure foundation for the FAIRI humanoid research program.
- Reuse and integrate platform, cloud, and data-processing infrastructure instead of creating parallel systems.
- Work directly with researchers, systems engineers, platform teams, cloud teams, and data-processing teams.
- Build infrastructure that supports real robotics deployments and customer-facing deadlines.
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