Robotics Software Researcher

Acceler8 Talent; San Francisco (CA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Acceler8 Talent in San Francisco is seeking a Robotics Software Researcher to drive robotics software and physical AI initiatives, bridging multimodal AI, real-time intelligent systems, and real-world deployments.

You'll work across robotics software, computer vision, VLMs and multimodal models to take research from experimentation through to production, collaborating with world-class investors and startups.

Qualifications

• Strong robotics software and engineering fundamentals.
• Experience with computer vision, VLMs or multimodal models.
• Proficient in Python and ML/deep learning.
• Ability to implement and experiment with cutting-edge research.
• Experience building real-world robotic or embodied AI systems.

Responsibilities

• Develop robotics software for physical AI initiatives.
• Bridge research into real-world robotic deployments.
• Collaborate across CV, ML and robotics teams to operationalize findings.
• Work in a fast-paced frontier AI startup environment.

Skills

Robotics software fundamentals

Computer vision

VLMs / multimodal models

Python + ML/deep learning

Real-world robotic / embodied AI

Experimentation with cutting-edge res.

Job description

Robotics Software Researcher | Physical AI

San Francisco — Onsite

I’m hiring aRobotics Software Researcherfor a well-funded frontier AI startup building at the intersection ofmultimodal AI, robotics and real-time intelligent systems.

The team has developed cutting-edgereal-time voice AI, solving difficult problems around multimodal understanding and agents that perceive and respond to dynamic environments.

Now, they’re taking that research into thephysical world.

The Role

You’ll join a new team focused onrobotics and physical AI, working acrossrobotics software, computer vision, VLMs and multimodal modelsto take research from experimentation through to real-world systems.

Looking for:

• Strongrobotics softwareand engineering fundamentals
• Experience withcomputer vision, VLMs or multimodal models
• StrongPython + ML/deep learningexperience
• Ability to implement and experiment with cutting-edge research
• Experience buildingreal-world robotic or embodied AI systems

Backed byleading AI investors, major technology companies and prominent startup accelerators, this is an opportunity to join early and help build aphysical AI research direction from the ground up.

If you’re working at the intersection ofrobotics, vision and multimodal AI, apply or reach out directly.