AI Robotics Engineer

Mecka • New York, NY

2d • Onsite

About The Position

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies. Our datasets power models that learn from the physical world — enabling robots to understand, reason, and act in real environments.
We work closely with frontier robotics teams to bridge real-world data, simulation, and deployed robotic systems.
We're hiring an AI Robotics Engineer based in New York City to help bring robotic intelligence from models into real-world execution.
This is a highly applied role focused on deployment, integration, and system performance. You'll work on connecting perception, policy, and control into systems that actually function reliably on real robots.
This role is ideal for engineers coming from top robotics companies (e.g. humanoids, autonomy, manipulation) or top academic labs, who want to work on real-world systems and move quickly from idea → deployment.

Requirements

• 4+ years of experience in robotics, AI/ML, or related fields
• Strong programming skills in Python (C++ strongly preferred)
• Experience working on real robotic systems or deployments
• Solid understanding of perception, control, or robotics fundamentals
• Experience integrating models into production or real-world systems
• Experience at leading robotics companies (e.g. humanoids, autonomy, manipulation systems)
• Or MSc / PhD from top robotics programs (e.g. CMU, MIT, Stanford, ETH, etc.)
• Experience in applied robotics labs or systems-focused research environments
• Highly practical and execution-focused
• Comfortable working across research and engineering boundaries
• Strong at debugging complex, real-world systems
• Able to move quickly from prototype → deployed system
• Motivated by building robots that actually work outside the lab

Nice To Haves

• Experience with dexterous manipulation, hands, or locomotion
• Experience with simulation environments (Isaac, MuJoCo, etc.)
• Familiarity with ROS or similar middleware
• Experience with vision-language-action (VLA) or multimodal models
• Experience working with large-scale real-world datasets

Responsibilities

• Integrate vision, multimodal, and policy models into robotic systems
• Translate model outputs into real-world control signals and actions
• Build the glue between perception → decision → actuation
• Develop and improve perception pipelines
• Work on pose estimation, scene understanding, and object interaction
• Ensure robustness in real-world, noisy environments
• Implement and tune control systems for manipulation and locomotion
• Work on stability, smooth motion, and real-time responsiveness
• Handle real-world constraints like latency, drift, and noise
• Use simulation environments to test and validate behaviors
• Help bridge sim-to-real gaps
• Leverage real-world data to improve performance and generalization
• Debug full-stack issues across models, software, and hardware
• Work directly with robotic systems in real-world environments
• Diagnose failures and iterate quickly to improve system performance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level