Robotics Systems Engineer

About Mecka 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.

The Role
You'll build the physical systems our researchers use to test what robots have learned. You'll bring robots, sensors, and software together for demonstrations, policy deployment, and experiments that the team can repeat and trust. Precise calibration, sound control, and careful debugging will connect Mecka's data to how robots behave on real hardware, so the team can tell a weakness in a learned policy apart from a problem in the system running it.

What You'll Do

• Integrate robotics hardware and software for data collection and repeatable experiments.

• Develop calibration and diagnostic tools for coordinate frames, timing, and sensor quality.

• Deploy perception models and learned policies on robots, and investigate how they perform on real tasks.

• Build recording, teleoperation, and evaluation workflows with our robot-learning researchers.

• Make systems more reliable through hardware debugging, software improvements, and clear recovery procedures.

What You Bring

Must-have:

• 3+ years of hands-on experience in robotics, mechatronics, or a closely related engineering field.

• Strong Python and C++ skills, with practical experience developing on Linux.

• Hands-on experience building, integrating, and debugging robotics or mechatronic systems.

• A solid understanding of kinematics, coordinate transforms, sensor calibration, and time synchronization.

• Experience with robot interfaces, control loops, and communication between software and physical hardware.

• Ability to integrate perception or machine-learning models into a running robotic system.

• A systematic approach to diagnosing failures across software, electronics, sensors, and mechanics.

A Note on Applying

Studies show women and candidates from underrepresented groups often only apply when they meet 100% of the listed qualifications, while others apply after meeting 60%. If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.

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.

Use of Artificial Intelligence in Recruitment

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.