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Mecka AI in New York is seeking a Forward Deployment Robotics Engineer to support robot deployments, data capture, and teleoperation workflows. The role is hands-on and on-site, requiring you to be physically present during deployments, ensure robots are set up, running smoothly, and data is captured according to requirements.
You will work closely with customers, remote engineering teams, and teleop operators to keep deployments moving and issues resolved in real time.
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
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 to train and validate humanoid and embodied AI systems. We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware. We work directly with robotics companies and AI teams to support real-world robot deployments and high-quality data capture, ensuring systems operate reliably in live environments and produce data suitable for training and evaluation. Our work happens on the ground - in labs, factories, and deployment sites - where execution and technical judgment matter.
Robotics will become the largest industry in human history - larger than anything that has come before it. As intelligent machines move into the physical world, they will dramatically expand global GDP, raise the material standard of living for everyone, and ultimately help make humanity a multiplanetary civilization. None of that happens without one thing: enormous amounts of high-quality, real-world data. Mecka AI builds that foundation. We are the data infrastructure layer for robotics and embodied AI - the substrate that teaches machines to perceive, reason, and act in reality. Get this right, and we accelerate the most important technological transition of our time.
We're hiring a Forward Deployment Robotics Engineer based in New York to support robot deployments, data capture, and teleoperation workflows.
This is a hands-on, on-site role. You will be the person physically present during deployments - making sure robots are set up correctly, running smoothly, and capturing data according to requirements. You'll work closely with customers, remote engineering teams, and teleop operators to keep deployments moving and issues resolved in real time.
We are committed to creating an inclusive and supportive candidate experience. Should you require any accommodation whatsoever during the interview process, please inform us without any hesitation. Mecka is dedicated to ensuring equal treatment and opportunity in all phases of recruitment, selection, and employment, in compliance with employment law. We do not discriminate based on gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other protected category. Mecka is proud to be an equal opportunity employer, fostering a culture of inclusivity and maintaining a work environment that is free from discrimination, harassment, and retaliation.
Mecka uses artificial intelligence (AI) responsibly to support administrative and efficiency-focused aspects of our recruitment process. This includes activities such as drafting job descriptions, generating interview questions, note-taking and recordings, and supporting sourcing and scheduling workflows. All candidate evaluations, interviews, and hiring decisions are made by members of the Mecka team. While AI tools may assist with screening and assessment, they do not replace human judgment in selection decisions. Our use of AI is intended to streamline routine tasks, improve consistency, and enhance the overall candidate experience. We are committed to upholding principles of fairness, transparency, and accountability in all hiring activities. Mecka regularly reviews its recruitment practices to mitigate bias and to ensure alignment with applicable laws and evolving best practices.
Compensation Range: $120K - $180K