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.

About the Role

You will build the software platform that connects Mecka's capture devices, operations, and customers. As data collection grows, your work will let people operate a distributed fleet and put its data to use through reliable systems and clear interfaces.

You will own production software from architecture through deployment and operation, with depth in service reliability or developer experience.

What You'll Do

• Own service and API design for connected hardware and data-intensive workflows, including the data models behind them.

• Build telemetry, diagnostics, and operational tools that help engineers understand how devices and services are behaving.

• Develop APIs, SDKs, and command-line tools that help hardware and data customers integrate Mecka into their workflows.

• Implement asynchronous workflows that handle retries, duplicate events, and interrupted transfers predictably.

• Test complete user workflows end to end, and maintain documentation, monitoring, and backward compatibility as the platform evolves.

What You Bring

Must-have:

• 5+ years of software engineering experience, including strong backend programming and operating production services in a language such as Python, Go, or TypeScript.

• Depth in at least one of these areas:

  • Service reliability: telemetry, monitoring, diagnostics, and operational tooling for distributed systems.

  • Developer experience: APIs, SDKs, command-line tools, documentation, and useful examples.

• Experience designing APIs, data schemas, and databases, with practical knowledge of SQL and query performance.

• Understanding of how distributed systems fail, including retries, duplicate events, interrupted transfers, and intermittent connectivity.

• Knowledge of authentication, authorization, automated testing, versioning, and release practices.

• Ability to debug across services, client software, and device interfaces.

Nice-to-have:

• Experience with connected hardware or operational web applications.

• Experience building public SDKs or working with large video and sensor datasets.

About You

• You are ambitious about what you build. You can point to results you personally delivered.

• You care deeply about your craft, pursue difficult questions, and learn quickly.

• You take initiative and own problems through to results. You work independently, make decisions, and bring others in when needed.

• You communicate honestly. You own mistakes, share credit, and help the people around you succeed.

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.

Inclusive Hiring at Mecka

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.