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Software Engineer, Robotics

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Onsite

Software Engineer, Robotics

Mercor

Software Engineer, Robotics

Skills

Google Cloud PlatformRustData EngineeringPythonGolangMachine LearningAIAWS

1 month ago

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Important information


Contract type:

Permanent

Salary:

$130,000 – $500,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

23 September 2026

What they need


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.

As a Software Engineer on Robotics, you'll sit between Mercor's data systems and our customers' infrastructure. You'll work alongside operations and product teams to turn a set of requirements into a working delivery pipeline: the schema, fields, format, transport, and quality checks that prove what shipped is what was specified.

This is a delivery-focused applied engineering role, not a classic robotics role. You will learn to grow and deeply understand robotics data types and work as part of a critical team leading the frontier development of physical AI, collaborating with engineers and researchers at frontier labs to ensure the data gets delivered properly.

What You'll Do

  • Partner with SPLs and client engineering teams to translate and implement data requirements into concrete delivery pipelines
  • Build and operate the pipelines that move data from Mercor's systems into customer storage reliably at petabyte scale
  • Format and transform datasets to per-client specification: MCAP and other container formats, custom schemas, field mappings, metadata, and versioning
  • Build automated validation to support delivery pipelines
  • Prototype quickly against new customer requirements, and debug issues when needed
  • Turn one-off client requests into reusable components, and own delivery infrastructure end to end

What We're Looking For

  • Strong backend and data engineering fundamentals in a modern language (Python, Go, Rust) and comfort operating production systems on AWS and GCP
  • Experience building and owning high-volume data pipelines, not just contributing to them
  • Experience with large binary formats, streaming ingestion, distributed batch processing, and object storage economics
  • Customer-facing instincts: you can lead a technical conversation, ask the right questions, and push back when a request is unreasonable
  • Comfort working through ambiguity and shipping iteratively with a product team, where requirements evolve with the customers and data types

Nice to Have

  • Experience with robotics/AV data formats and tooling such as MCAP, ROS, protobuf, Foxglove
  • Prior work on data engines, pipelines, or delivery for multimodal data
  • Multi-sensor data experience across video, depth, inertial, and audio, including calibration and synchronization
  • Forward-deployed, solutions, or delivery engineering experience at a data or infrastructure company
  • Computer vision or multimodal ML exposure: detection, tracking, or VLM-based labeling and QC

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

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