Software Engineer, Robotics Data
Mercor · San Francisco
- Location
- San Francisco
- Salary
- $130K - $500K
- Funding
- $132M
- Posted
- Jul 28, 2026
Mercor is hiring a Software Engineer, Robotics Data based in San Francisco. Every apply link on Engg.space goes straight to the company's own careers page - no recruiter middleman, no generic job-board form.
Apply directly at MercorRole details
ABOUT MERCOR Mercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices. ABOUT THE ROLE Frontier AI is going physical, and the labs building it are bottlenecked on one thing: high-quality data from the real world. Mercor pairs its operational scale with the specialized engineering that physical-world data demands. You'll build the data backbone of physical AI: the pipelines that take raw multi-sensor capture from the field (video, depth, inertial, audio, and more) and turn it into validated, privacy-safe, delivery-ready datasets for frontier labs. Ingest, segmentation, pre-labeling, automated QC, and packaging, at petabyte scale across thousands of concurrent collectors. WHAT YOU'LL DO - Build the end-to-end sensor data pipeline: ingest from capture devices in the field, through segmentation, pre-labeling, QC, and packaged delivery to customers - Design automated QC that validates recordings at scale: timing and sync integrity, calibration health, sensor continuity, coverage against requirements - Establish dataset schemas, versioning, provenance, and versioning, so every delivery has a clear system traceability - Build shared processing components such as privacy redaction, transcription, encoding, format packaging across all offerings - Integrate VLM-assisted pre-labeling and quality scoring into production workflows without sacrificing debuggability or human oversight WHAT MAKES THIS ROLE DIFFERENT - High ownership, early. This is a young, strategically central product area; the product you build will shape Mercor’s physical-world data collection standards - The data is the deliverable. The end product at Mercor is the data; what your pipeline produces is what shapes the models that large frontier lab trains on - Real physical-world scale. Your inputs come from devices operated by humans in global real world settings, for thousands of hours. Building systems that scale is precedent. WHAT WE'RE LOOKING FOR - Strong production backend/data engineering experience — you've built and owned high-volume data pipelines - Experience processing video or sensor data at scale: large binary formats, streaming ingestion, distributed batch processing, object storage economics - Fluency in Python and comfortable with AWS - Genuine data taste: you can look at a sensor trace or a timing histogram and tell when something is off - Comfort in ambiguous, fast-moving problem spaces where requirements evolve with the customer NICE TO HAVE - Experience with robotics data formats and tooling (MCAP, ROS bags, protobuf, Foxglove), camera geometry, or multi-sensor calibration and synchronization - Computer vision or multimodal ML experience (detection, tracking, VLM-based labeling or QC) - Prior work on data engines for AV, robotics, or egocentric video BENEFITS - Bi-annual performance bonus structure - Generous equity grant vested over 4 years - Up to $15k Relocation bonus - $10K housing bonus (if you live within 0.5 miles of our office) - $1.5K monthly stipend for meals - Free Equinox membership - $200 monthly laundry reimbursement - $200 monthly personal wellness reimbursement - Health, Dental, Vision insurance
More roles at Mercor
| Link | ||||||
|---|---|---|---|---|---|---|
| Member of Technical Staff, Mercor Enterprise Platform | 3 days ago | San Francisco | $130K - $500K | $132M | Apply | |
| Member of Technical Staff, Enterprise Evals Platform | 15-08-2026 | San Francisco | $220K - $425K | $132M | Apply | |
| Software Engineer, Search Systems - Code Data | 14-08-2026 | San Francisco | $250K - $500K | $132M | Apply | |
| Fullstack Software Engineer, Agent Platform | 11-08-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Member of Technical Staff, Deeptune Environments | 10-08-2026 | New York City | $220K - $600K | $132M | Apply | |
| Software Engineer, Frontier Data Products | 07-08-2026 | San Francisco or NYC | $130K - $500K | $132M | Apply | |
| Member of Technical Staff, Backend | 25-07-2026 | San Francisco | $250K - $500K | $132M | Apply | |
| Member of Technical Staff, iOS | 17-07-2026 | San Francisco | $130K - $400K | $132M | Apply | |
| Member of Technical Staff, Android | 17-07-2026 | San Francisco | $130K - $400K | $132M | Apply | |
| Software Engineer, Backend | 14-07-2026 | San Francisco | $200K - $500K | $132M | Apply | |
| Software Engineer, Identity | 01-07-2026 | San Francisco | $150K - $325K | $132M | Apply | |
| Applied Machine Learning Engineer, Economist | 30-06-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Software Engineer, Machine Learning | 30-06-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Fullstack Engineer, RL Environments | 23-06-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Engineering Manager, Fraud & Compliance | 19-06-2026 | San Francisco | $250K - $400K | $132M | Apply | |
| Engineering Manager, Applied AI | 19-06-2026 | San Francisco | $250K - $400K | $132M | Apply | |
| Software Engineer, Enterprise Applied AI | 10-06-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Machine Learning Engineer, Frontier Data Products | 29-05-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Data Engineer | 07-05-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Software Engineer, Platform | 23-04-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Software Engineer, Applied AI | 21-04-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Software Engineer, Automation | 12-03-2026 | San Francisco | $130K - $500K | $132M | Apply | |
| Infrastructure Engineer | 18-09-2025 | San Francisco | $130K - $500K | $132M | Apply | |
| Software Engineer, Agents | 18-09-2025 | San Francisco | $130K - $500K | $132M | Apply |