Job Title: DevOps / MLOps Engineer for Robotics

Location: Vapi, Gujarat

Employment Type: Full-Time

Overview

We are seeking an experienced **DevOps / MLOps Engineer for Robotics** to build and manage infrastructure for data management, training, testing, deployment, telemetry, and fleet operations. This role will ensure reliable, scalable, and secure pipelines that enable advanced robotics applications across humanoids, AGVs, cars, and drones.

Key Responsibilities

• Develop and maintain data lakes with labeling and auto-labeling pipelines, including feature store design.

• Orchestrate training workflows using Kubernetes (K8s) and Slurm; manage experiment tracking and model registries.

• Deploy models on edge devices (Jetson/Orin, TPU, x86) with support for A/B testing and staged rollouts.

• Build systems for telemetry, health monitoring, remote assist, OTA updates, and security.

Must-Haves

• Master’s or PhD in a relevant field, 5–10+ years of experience in infrastructure engineering for robotics or ML systems.

• Proven expertise in cloud and edge CI/CD pipelines, containerization, and GPU scheduling.

• Strong background in observability tools (Prometheus, Grafana), artifact/version control, and reproducibility practices.

Nice-to-Haves

• Experience integrating real-time operating systems (RTOS).

• Familiarity with safety-certified build pipelines.

Success Metrics

• Training throughput and cost efficiency.

• Deployment latency and responsiveness.

• Mean Time to Recovery (MTTR).

• Rollout success rate across robotic fleets.

Domain Notes

Humanoids:

- Low-latency teleoperation and lab safety gate integration.

AGVs (Autonomous Ground Vehicles):

- Facility-wide OTA updates under network constraints.

Cars:

- Compliance logging and traceability for regulated environments.

Drones:

- Beyond Visual Line of Sight (BVLOS) fleet telemetry and geofence updates.

Meril

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DevOps / MLOps Engineer – Robotics.