About Mecka AI Mecka AI is building the data infrastructure layer for robotics and embodied AI. We design, deploy, and operate real-world robotic systems to generate high-quality datasets used to train and evaluate next-generation robotics and embodied AI models. Our robots operate in unstructured, real-world environments , where reliability and execution matter more than clean simulations. The Role We’re hiring a Roboticist with a strong bias toward execution and deployment . This is not a theoretical research role. This is a “make it work in the wild” role. You will take high-level models, perception pipelines, and navigation policies and deploy them onto physical robots. Your job is to close the gap between simulation and reality , ensuring robots can navigate, manipulate, and collect data autonomously in real environments. You’ll spend time debugging in the lab and on-site, diagnosing failures, and building systems that keep running even when things go wrong. What You’ll Work On System Integration Integrate Vision-Language-Action (VLA) models, perception pipelines, and control policies into a cohesive robotic stack Write the glue code that translates model inference into physical motor actions Ensure models run reliably and predictably on real hardware Navigation & Control Implement, tune, and maintain: SLAM Localization Path planning Obstacle avoidance Ensure smooth and intelligent robot motion in dynamic, human environments Field Reliability & Autonomy Build resilient, self-healing systems Develop watchdogs, automated calibration routines, and error-handling logic Enable robots to recover from common failures without human intervention Real-World Debugging & Deployment Debug robots in the lab and in real deployment environments Diagnose issues such as: Failed docking or navigation Sensor drift or misalignment Policy failures or hallucinations Identify root causes across software, sensors, and hardware — and fix them Who You Are Required Technical Experience Strong software engineering skills in Python and C++ Experience writing production-grade code for robotic systems Comfortable working in Linux environments (processes, networking, system configuration) Robotics Fundamentals Solid understanding of: Coordinate transforms (TF) Kinematics PID control State estimation Experience working with real robotic systems outside of simulation Middleware & Systems Experience with pub/sub and message-passing systems such as: ROS / ROS2 DDS ZMQ Or custom messaging stacks Tool-agnostic mindset — you understand the concepts, not just the framework Debugging & Execution Mindset Systematic approach to debugging electro-mechanical systems Ability to isolate failures across: Software Sensors Networking Hardware Comfortable getting hands-on when things break Why This Role Work directly on real robots operating in the physical world Own deployment, reliability, and execution — not just models Solve hard, messy problems at the boundary of software and hardware High ownership and autonomy in a fast-moving environment See your work directly impact data quality and system performance #J-18808-Ljbffr