2026 Summer Robotics Engineering Intern: AI (Special Projects)

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Los Angeles, CA, USA
In-Office
25-35 Hourly
Artificial Intelligence • Hardware • Productivity • Robotics • Software • Automation • Manufacturing
GrayMatter Robotics is on a mission to build the factories of the future today.
The Role

Summary

Headquartered in sunny Los Angeles, GrayMatter Robotics is a well-capitalized AI robotics startup serving the manufacturing industry. We empower shop floor workers with our smart robots that assist with tedious and ergonomically challenging tasks, specifically in automated surface finishing. Our proprietary GMR-AI™ software is integrated with state-of-the-art industrial robots, sensors, and tools to create application-specific turnkey solutions for customers through a Robot-as-a-Service (RaaS) model.

Position Overview

As an AI Intern, Special Projects, you will own a research or engineering problem end-to-end across our AI and robotics stack. Projects are tailored to both your background and our roadmap, with the expectation that your work will either ship into production or directly influence product direction by the end of the internship.

You will collaborate closely with senior researchers and engineers, present your work internally and occasionally to external partners, and gain hands-on access to real robot hardware, manufacturing cells, and production-scale datasets.

What You’ll Work On
  • Foundation Models for Manufacturing

    • Multimodal models for industrial perception, scene understanding, and task planning

  • Policy Learning

    • Learning-based control for contact-rich manipulation under geometric, material, and contact uncertainty

  • Sim-to-Real Transfer

    • Physics-based simulation, domain randomization, and bridging the gap between simulation and hardware

  • 3D Perception & Scene Understanding

    • Real-time point cloud processing, surface reconstruction, defect detection, and anomaly detection in manufacturing environments

  • World Models & Learned Dynamics

    • Tool–surface interaction models for planning, rollout prediction, and uncertainty-aware skill selection

Basic Qualifications

We are looking for researchers and engineers who combine strong technical depth with a builder mindset. Ideal candidates will have most of the following:

  • Currently pursuing or recently completed a Master’s or PhD in AI, Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field

    • Exceptional undergraduate candidates will also be considered

  • Hands-on experience training, fine-tuning, or adapting modern machine learning models, including:

    • Foundation models

    • Multimodal models

    • Diffusion policies

    • Large-scale self-supervised learning systems

  • Working knowledge of robotic systems, including:

    • Kinematics

    • Control systems

    • Sensors and perception

    • Hardware debugging and deployment intuition

  • Experience with physics-based robotics simulators and a practical understanding of sim-to-real limitations

  • Strong software engineering fundamentals with proficiency in:

    • Python

    • PyTorch

    • Production-quality code development

  • Demonstrated ownership of projects end-to-end through:

    • Publications

    • Deployed systems

    • Open-source contributions

    • AVAILABLE TO START IMMEDIATELY for Summer '26 Internship

Preferred Qualifications
  • First-author publications at leading conferences such as:

    • CoRL

    • RSS

    • ICRA

    • IROS

    • NeurIPS

    • ICML

    • ICLR

    • CVPR

  • Experience deploying learned policies or perception systems on real-world robotic hardware, especially in industrial environments

  • Background in:

    • Distributed training systems

    • Custom CUDA kernels

    • Large-scale pretraining

  • Prior work involving:

    • Contact-rich manipulation

    • Force/torque control

    • Surface inspection

    • Industrial automation

  • Meaningful open-source contributions to robotics, simulation, or ML infrastructure frameworks

GrayMatter Robotics provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage and embrace applicants of all backgrounds to apply!

GrayMatter Robotics is committed to providing reasonable accommodations for candidates with disabilities. If you believe you require accommodations during the recruiting process, please contact [email protected] to submit your request.

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Depending on the position and if listed, compensation may include the base salary range, bonus or commission, and equity. We also provide comprehensive benefits and perks which include but are not limited to medical, dental, vision, unlimited PTO, 401(k) plan + employer match, regular offsite events, a discretionary fund for enhancing productivity and so much more! The range listed on job postings reflect the minimum and maximum new hire salary across levels in Los Angeles, CA.

What the Team is Saying

Rishav
Michelle Lo
Achille Verheye

GrayMatter Robotics Compensation & Benefits Highlights

  • Retirement Support A 401(k) with a stated 5% company match is publicly listed, strengthening long‑term savings support. This indicates a structured approach to retirement planning for a growth‑stage startup.
  • Wellbeing & Lifestyle Benefits Offerings include a reported $1,000/year wellness stipend, snacks/meals, offsites, on‑site parking, and wellness programs. Home‑office and productivity stipends further expand lifestyle support for varied work setups.
  • Leave & Time Off Breadth Listed policies include flexible or unlimited PTO, paid sick days, holidays, bereavement leave, and parental leave. This breadth signals an emphasis on time‑off flexibility and work‑life balance on paper.

GrayMatter Robotics Insights

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The Company
HQ: Carson, CA
90 Employees
Year Founded: 2020

What We Do

Headquartered in sunny Los Angeles, GrayMatter Robotics is an AI robotics company that builds the factories of the future today, empowering people, creating safer workplaces, and shaping a more prosperous society. We build next-generation factories that transcend human constraints, driving exponential productivity and sustainable economic growth. Our technology brings together robotics, Physical AI, and human ingenuity to create intelligent systems that unlock solutions once thought unimaginable and shape the next frontier of innovation. Our customers see us as true partners, dedicated to their outcomes and making the journey to their Factory of the Future simple and fast by handling all the technology complexity so they can focus on what matters most while adapting to future demand.

Why Work With Us

We are developing brains for robots to transform them into smart assistants for helping humans in tedious and ergonomically challenging tasks. We’re hardwired with integrity and tenacity to innovate. We care deeply and foster an energetic and collaborative team dedicated to developing robotic solutions to tackle complex and challenging problems.

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GrayMatter Robotics Offices

OnSite Workspace

Our team works fully onsite at our headquarters in sunny Los Angeles, CA. We partner directly with each teammate to maintain flexibility and support the occasional work from home day.

Typical time on-site: None
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