Mecka AI Logo

Mecka AI

Hardware, Device Operations Engineer

Posted 13 Days Ago
Be an Early Applicant
Hybrid
New York, NY, USA
135K-155K Annually
Mid level
Hybrid
New York, NY, USA
135K-155K Annually
Mid level
Own the readiness and reliability of deployed data-capture devices. Diagnose hardware and software issues across cameras, peripherals, Linux systems, storage, networking, and data transfers; prepare and validate devices for deployment; support operators; reproduce defects; create diagnostic scripts and procedures; track recurring failures; and verify repairs, updates, and corrective actions across the device fleet.
The summary above was generated by AI
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 operating capability that lets Mecka's capture fleet collect useful data day after day. As devices reach more people and locations, your work will turn individual deployments into a reliable network for gathering the experience robots need to learn.

You will own device readiness and recovery, then turn what you learn into diagnostics, automation, and procedures that scale. Bring practical Linux, scripting, and hardware troubleshooting skills, and the judgment to follow a problem from an operator's report to a verified fix across the fleet.

What You’ll Do
  • Own device issues from the first report through diagnosis, repair or recovery, and verification that the device is ready for use.

  • Troubleshoot cameras, connected peripherals, Linux software, storage, networking, and data transfers using logs, measurements, and physical testing.

  • Prepare and validate devices for deployment, including configuration, software updates, recording checks, and inspection after return.

  • Support operators and partners with clear technical guidance. Reproduce product defects and work with engineering teams to resolve them.

  • Write scripts and troubleshooting procedures that make common problems faster to diagnose and resolve.

  • Track recurring failures, verify corrective actions, and improve readiness checks using evidence from the fleet.

What You BringMust-have:
  • 3-4 years of hands-on experience troubleshooting physical devices that combine hardware and software, such as embedded systems, cameras, robotics, or connected equipment.

  • Practical Linux skills, including command-line tools, logs, processes, services, filesystems, and network diagnostics.

  • Python or shell scripting skills for diagnostics, device checks, and operational automation.

  • Ability to isolate faults through repeatable tests and distinguish hardware, software, configuration, and operator issues.

  • Experience validating device behavior after a repair, configuration change, or software update.

  • Clear communication with technical and nontechnical users, including useful reproduction steps, diagnostic evidence, and instructions.

  • Ability to prioritize issues by operational impact.

Nice-to-have:
  • Experience supporting distributed device fleets, remote diagnostics, provisioning, or software updates.

  • Experience diagnosing recording problems such as dropped frames, corrupted files, synchronization errors, or incomplete transfers.

  • Experience with electronics troubleshooting, component replacement, or repair qualification.

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.

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 strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

Similar Jobs

48 Minutes Ago
Hybrid
Senior level
Senior level
Aerospace • Artificial Intelligence • Cloud • Machine Learning • Software • Cybersecurity • Defense
Leads advanced aerospace new product development projects from concept through qualification and production transition. Manages schedules, milestones, risks, budgets, cost estimates, and performance reporting while coordinating electrical, software, systems, and mechanical engineering teams. Collaborates with customers, vendors, and stakeholders, supports technical reviews, drives risk and opportunity management, and provides technical and strategic direction for embedded systems, avionics, aerospace electronics, and integrated hardware/software products.
Top Skills: Aerospace ElectronicsAvionicsEarned Value ManagementEmbedded SystemsIntegrated Hardware/Software Systems
49 Minutes Ago
In-Office
22-30 Hourly
Internship
22-30 Hourly
Internship
Cloud • Information Technology • Internet of Things • Machine Learning • Software • Cybersecurity • Infrastructure as a Service (IaaS)
Supports Talent Acquisition activities including full-time and early-career recruiting, campus events, candidate communications, process improvement projects, branding exercises, recruitment tracking, reporting, and maintaining shared materials. The role collaborates with recruiting teams and internal partners while handling confidential candidate information and exploring AI-enabled recruiting tools and agents.
Top Skills: Ai AgentsAi ApplicationsAi-Enabled Recruiting ToolsMS OfficeRecruiting Systems
3 Hours Ago
Hybrid
69K-87K Annually
Entry level
69K-87K Annually
Entry level
Big Data • Food • Hardware • Machine Learning • Retail • Automation • Manufacturing
Drive continuous improvement across manufacturing operations by training teams on CI tools, facilitating root-cause analysis, managing KPI and loss-elimination activities, establishing work standards, validating production data, and improving equipment reliability and waste reduction. The role also supports startups, shutdowns, changeovers, process controls, ingredient inventory, formula compliance, GMP documentation, and daily management systems.
Top Skills: Daily Management System (Dms)ExcelGood Manufacturing Practices (Gmp)Integrated Lean Six Sigma (Il6S)LeanQuality SuitesTpm

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account