Robotics Engineering Intern: Software at GrayMatter Robotics

New York, New York, United States

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

NoVisa

Manufacturing, RoboticsIndustries

Requirements

Currently has, or is in the process of obtaining, a BS or MS degree in Computer Science, Mechanical Engineering or related field
1+ year(s) of demonstrated programming experience in C++ or Python coding
Proficiency in calculus, linear algebra, probability, and statistics
Excellent technical and analytical skills
Self-motivated, proactive, with confidence and initiative for innovation
Ability to communicate and collaborate effectively across multiple teams
Willingness to work in a fast-paced environment with quickly changing priorities
Must meet U.S. export control requirements: (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158
Maintain ongoing work authorization beginning at the time of hire through the entirety of employment
Preferred Qualifications
Experience working with ROS and other open-source libraries relevant to robotics
Experience in kinematics / dynamics / control systems / motion planning / optimization / machine learning / robotics / computer vision / artificial intelligence / computational geometry
Experience in GPU programming and/or other hardware acceleration methods
Hands-on hardware experience with robotics systems
Experience in developing standard operating procedures and documentation
Experience developing complex function-based software that interacts with sensor inputs, control loops, and redundancy
Experience with Linux environment, Docker, CMake
Knowledge of manufacturing processes

Responsibilities

Develop and implement algorithms, systems, and architecture for high-DOF robotic systems working in a constrained environment
Support development of high-performance production-ready software packages and systems by enabling GPU programming and other hardware acceleration methods
Test and evaluate current state-of-the-art algorithms and techniques of planning, learning, perception, and control

Skills

planning algorithms

machine learning

perception

control systems

GPU programming

hardware acceleration

robotics software

sensors

high-DOF robots

industrial robots

GrayMatter Robotics

AI-powered robotic solutions for manufacturers

About GrayMatter Robotics

GrayMatter Robotics provides AI-powered robotic solutions for high-mix manufacturers, using their proprietary GMR-AI™ technology to enhance speed, consistency, and quality. Their smart robotic cells adapt to different parts without complex setups, achieving 2-4 times the speed of manual methods while reducing waste and costs. Unlike competitors, they operate on a subscription model that covers hardware, software, and service, minimizing upfront costs for customers. The goal is to revolutionize automation in manufacturing, delivering immediate value and significantly boosting productivity.

Los Angeles, CaliforniaHeadquarters

2020Year Founded

$71.1MTotal Funding

SERIES_BCompany Stage

Robotics & Automation, Enterprise Software, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

401(k) Retirement Plan

401(k) Company Match

Risks

Competition from industrial giants like 3M and FANUC could impact market share.

Rapid advancements in generative AI may outpace GrayMatter's current capabilities.

Reliance on the U.S. manufacturing industry poses risks if the labor shortage persists.

Differentiation

GrayMatter Robotics offers AI-powered robotic solutions for high-mix manufacturing challenges.

Their GMR-AI™ technology adapts to part variations without complex fixturing.

The company provides a subscription model, eliminating upfront costs for customers.

Upsides

GrayMatter Robotics raised $45 million in Series B funding in 2024.

Partnerships with 3M and FANUC America enhance their market presence.

Their solutions boost productivity by 2-4 times, reducing manual labor time significantly.

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