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Robotics Research Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: SupportFinity™
Full Time position
Listed on 2026-08-03
Job specializations:
  • Software Development
    Robotics, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 180000 USD Yearly USD 150000.00 180000.00 YEAR
Job Description & How to Apply Below
Location: California

Introduction & Engagement Summary

This Statement of Work outlines the terms and expectations for recruiting services related to the placement of a Robotics Research Engineer (RCC-11) based in Palo Alto, California.

The ideal candidate demonstrates strong programming ability (often in Python and/or C++), experience applying machine learning or advanced algorithms to robotics challenges, and hands‑on exposure to hardware, embedded systems, or electromechanical integration. Beyond technical depth, successful Robotics Research Engineers exhibit independent problem‑solving skills, cross‑disciplinary thinking, and a track record of building and iterating on complex systems.

This role is particularly well‑suited for individuals who thrive in research‑driven environments but are equally comfortable deploying solutions in production settings. Candidates should show evidence of self‑directed projects, experimentation, and a builder mindset, with the ability to operate across the robotics stack — from perception and planning to controls and physical system integration.

Role Overview

Position: Robotics Research Engineer

Employment Type: Full-Time

Work Arrangement: In Person

Location: Palo Alto, CA

Compensation Structure (Client-Facing)
  • Base Salary Range: $150,000 – $180,000
Candidate Requirements Core Requirements
  • Demonstrated track record of independently building projects
  • Strong programming skills
  • Prior research background (university-based or independent research)
  • Evidence of hands‑on execution across technical domains
Preferred Background (Green Flags)
  • Academic background in computer science, mathematics, mechatronics, aerospace, or related field
  • Portfolio of personal projects, hackathons, or competitions
  • Demonstrated interest in applying machine learning to real-world robotics systems
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