# Robotics Engineering Intern — Hardware & Software at Trace Labs

> Onsite · United States · Intern · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Atracelabs%3Adec74a24-a2d5-46d2-b5b9-e7a4e3f29525 (read 2026-11-04).

## Facts (observed)

- Company: [Trace Labs](https://alderhq.app/companies/trace-labs)
- Location text: NYC
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: NYC")
- Posted: 2026-10-23 (11 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-03
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/tracelabs/dec74a24-a2d5-46d2-b5b9-e7a4e3f29525
- Skills listed (inferred): Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (New York, n 28): p25 $98k, median $112k, p75 $126k

## Description (the employer's text)

### About Trace

Trace is building the data, infrastructure, and research that enable robots to learn from the real world. General-purpose robotics requires a deeper understanding of how robots learn from real-world data. Our research explores how to transform human experiences, including egocentric video, demonstrations, hand-object interactions, and multimodal sensory signals, into transferable representations, actionable knowledge, and generalizable robot behaviors. At our Brooklyn research lab, we combine fundamental research in robot learning, computer vision, and embodied AI with large-scale datasets, machine learning infrastructure, and real-world robotic experimentation. Our goal is to advance the science of robot learning while developing the datasets and learning foundations for increasingly capable, adaptable, and reliable robots.

### About the role

We are looking for highly motivated and technically curious Robotics Engineering Interns to join our team in a hands-on hardware-and-software role, contributing to the development of robotic systems, data infrastructure, and experimental platforms that support cutting-edge research in robot learning and embodied AI. This internship is designed primarily for Master's and undergraduate students, although PhD students are also welcome to apply. We value practical robotics experience, strong engineering fundamentals, problem-solving ability, and a genuine interest in robotics research. Prior research publications are not required.

As a Robotics Engineering Intern, you will work closely with our research scientists, research interns, and engineers to build and operate robotic platforms, develop reliable data collection and processing pipelines, implement and evaluate learning-based robotic systems, and support experiments that connect human and robot data to downstream policy performance. You will have opportunities to take ownership of well-defined engineering and experimental projects, from hardware and software integration through implementation, testing, evaluation, and documentation. Depending on your background and interests, you may also contribute to research experiments, algorithm development, and technical publications. Our goal is to provide meaningful hands-on experience at the intersection of robotics engineering and robot learning research, while giving students opportunities to develop practical skills, deepen their research understanding, and contribute to advances in physical AI.

### Projects you may work on

Depending on your experience and interests, your projects may involve one or more of the following areas:

Robotic Hardware and System Integration

Multimodal Data Collection and Infrastructure

Data Processing, Calibration, and Quality Evaluation

Human Demonstration and Robot Learning Systems

Robot Policy Implementation and Evaluation

Simulation and Experimental Validation

We welcome students with diverse technical backgrounds. You do not need prior experience in every area, and projects will be matched to your skills, interests, and available opportunities.

### What you’ll learn and build

Build and integrate robotic systems, working with robot arms, dexterous hands, sensors, cameras, and associated software and hardware interfaces.

Develop and maintain robotics software and data pipelines for data acquisition, synchronization, processing, storage, visualization, and experimental evaluation.

Support robot learning research experiments by implementing existing methods, preparing datasets, running model training or evaluation, and executing experiments in simulation and/or on real robotic platforms.

Design and execute systematic tests to assess hardware reliability, sensor accuracy, data quality, policy performance, and experimental reproducibility.

Debug and troubleshoot complex robotic systems, identifying issues across hardware, perception, control, data processing, and learning components.

Analyze experimental results and failure cases, helping the research team understand how system design, data collection, and implementation choices affect robotic learning and performance.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Atracelabs%3Adec74a24-a2d5-46d2-b5b9-e7a4e3f29525 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.