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Sunday Robotics

Autonomous household robot with data-driven learning

Triage Associate

Hardware Validation & TestingConfirmed live in the last 24 hours
Full-timeRedwood City, CA, USA$75k - $85k /yrIn-person

About the Job

Requirements

  • Hands-on experience debugging robotics, electronics, or embedded hardware.
  • A degree in electrical engineering, mechanical engineering, computer science, robotics, or a related field, or equivalent work experience.
  • Ability to read logs and telemetry and turn them into a clear, actionable diagnosis.
  • Ability to prioritize across a queue of competing, sometimes ambiguous, incoming issues.
  • Ability to leverage artificial intelligence to enhance productivity.

Responsibilities

  • Serve as the first line of defense for incoming hardware, software, and deployment issues by isolating, reproducing, and characterizing problems before escalation.
  • Support intake and triage across the fleet, applying a structured taxonomy to route issues to the correct team, such as hardware, software, or deployment.
  • Partner directly with the evaluation, teleoperation, and engineering teams to catch and capture issues in real time.
  • Investigate incidents by pulling logs and telemetry, checking prior tickets for similar failure signatures, and documenting clear, reproducible findings for engineering handoff.
  • Maintain and continuously improve triage documentation, tooling, workflows, and the ticket taxonomy as new failure modes emerge.
  • Track incident trends across the fleet and flag recurring or systemic patterns before they become larger issues.

Desired Qualifications

  • Exposure to evaluation or teleoperation data pipelines.

About the Company

Sunday Robotics

Autonomous household robot with data-driven learning

Sunday Robotics is building Memo, an autonomous home robot that helps families with chores like washing dishes, laundry, and tidying. Memo moves on a wheeled base with a soft silicone shell and uses a telescoping arm to reach from floor to high shelves; it learns by watching humans through a foundation model called ACT-1 trained on real-world chores collected with the Skill Capture Glove. The company differentiates itself by using large-scale “in-the-wild” data (about 10 million home routines from 500+ homes) and a non-humanoid design that emphasizes safety, while aiming for a price close to premium consumer devices rather than cars. Its goal is to make autonomous home robots affordable and deployable, moving from demos to a Founding Family Beta program that delivers robots to selected households.

Company size
201-500
Company stage
Series B
Total funding
$200M
Headquarters
Mountain View, CA
Founded
2024

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