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Data & Hardware Operations CoOp/ Intern

Origin AI, an ADT Company

Location: HQ Rockville, MD

About Us:

Origin is redefining home security with TruShield℠ Security, a hardware-free, router-based solution powered by our exclusive AI Sensing℠ technology. TruShield goes beyond motion detection to deliver Verified Human Presence℠, accurately distinguishing between people and non-human activity. By leveraging existing WiFi networks and connected devices, it delivers awareness across the home without cameras, wearables, or additional hardware, eliminating false alarms and elevating protection.

Now part of ADT, Origin strengthens ADT’s promise of trusted protection by adding real-time awareness and context inside the home. When every second counts, knowing what is actually happening, not just that something happened, changes everything.

About the Job:

The AI Engines team is responsible for product-oriented research, data collection, and ML model development for Wi-Fi-based motion sensing: detecting and classifying motion using Channel State Information (CSI) captured from the wireless environment, and integrating that intelligence into embedded applications that run efficiently across many hardware platforms.

This is a high-ownership role with deliberate breadth. You will be the person who keeps collection running and the hardware healthy, freeing our engineers and researchers to focus on models and product. Along the way, you'll get exposure across the full stack hardware, data pipelines, ML, and embedded integration with dedicated time to grow into deeper engineering work.

What You’ll Do:

• Configure, provision, and maintain device deployments across our data collection fleet. This includes connecting devices to routers and onboarding them in their respective apps.

• Manage and troubleshoot collection sets; diagnose and resolve issues quickly, including general IT tasks such as logging into router back-ends, IP configuration, and basic network troubleshooting.

• Run platform performance comparisons and device compatibility testing across our hardware portfolio.

• Develop, update, and maintain standard operating procedures (SOPs) for device onboarding and deployment so setup is repeatable and consistent across platforms.

• Build and host data collection events; coordinate with external data collection partners and field testers to execute against collection plans.

• Maintain device and tester inventory so collection coverage aligns with ML model development priorities and product improvement ideas.

• Keep the team's automated data pipeline running, and perform data quality checks and session-level curation on incoming CSI to meet quality and scope needs.

• Perform manual ground-truth labeling, including reviewing camera-and-sensor imagery to label motion.

• Write and run test plans for collection and validation.

• Dogfood our models daily by running live deployments in-office, surfacing real-world sensing issues back to the team.

• Support improvements to MATLAB / python-based data processing scripts so they are robust across different collection setups, devices, and data formats.

• Contribute to embedded integration (C/C++) and ML platform / MLOps tasks as your skills develop.

• Participate in agile workflows: Sprint planning, code reviews, and stand-ups. Present technical findings to the team.

About You:

• Able to be on-site in the Rockville, MD area; this role manages physical hardware and cannot be fully remote.

• Currently pursuing or recently completed a Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Information Technology, or a closely related discipline. Candidates must have completed at least three years of undergraduate study by the start of employment.

• Comfortable with networking fundamentals (e.g. routers, IP configuration, device back-end access, and basic troubleshooting).

• Hands-on experience with at least one programming language (MATLAB, C/C++, or Python).

• Detail-oriented, self-directed learner who thrives in collaborative teams and can diagnose issues and make effective decisions in ambiguous, evolving technical situations.

Preferred Qualifications (in order of priority):

1. Embedded / systems programming: C/C++ experience on microcontrollers, SoCs, or resource-constrained platforms (ARM Cortex, RTOS, bare-metal). Supports the embedded/QA growth track.
2. MATLAB: Coursework or project experience, for our data processing scripts.
3. Signal processing: Coursework or projects in DSP, wireless communications, or related areas (FFT, filtering).
4. Machine learning: Familiarity with ML frameworks (PyTorch, ONNX, TensorFlow Lite) or data-quality practices for AI/ML.
5. Data collection & tooling: Structured data collection and logging practices; familiarity with Airtable or similar.
6. AWS & agile tooling: Exposure to AWS (S3, etc.) and Atlassian tools (Jira, Confluence) in a team-based environment.

What We Can Offer You

• Full healthcare package including medical, dental, and vision insurance, short-term and long-term disability insurance, life, and AD&D insurance

• 401(k) + 5% company match

• Flexible paid time off policy

• Onsite gym

• Tuition reimbursement program & Continued Learning Program

Additional Info:

Origin is committed to building and fostering an inclusive, diverse workplace. We believe in incorporating everyone’s perspectives and experiences as this has been a significant driver in our success so far.

For this reason, we strongly encourage candidates of all backgrounds to get in touch. Even if you don’t meet all the requirements of a job listing, do yourself (and us) a favor by still applying! It’s highly likely you’ll bring something to the workplace that we haven’t thought of yet, and we would love to hear from you.

Origin is an equal opportunity employer and is committed to building a diverse and inclusive workplace. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic.