Job Description

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Constellation is hiring a Founding Systems Integration Engineer to own the messy but critical layer between real-world sensors and usable, trustworthy data in the cloud. You'll work across embedded interfaces, real-time streaming, and infrastructure to make neural devices, wearables, cameras, and other sensors synchronize and deliver clean data for downstream modeling.

Were looking for someone who can debug flaky hardware, design fault-tolerant data pipelines, and think end-to-end about how we turn real-world messiness into clean training data. Youll also lead development of internal tools for sensor health checks, stream QA, and semi-automated annotation. Youll work closely with neuroscientists and ML engineers, but youre the one who owns the pipe.

This role is ideal for someone whos worked across embedded, backend, and time-series domains and wants to build something ambitious and unusual from the ground up.

What Youll Own

Sensor Integration + Sync

• Interface with commercial and research sensors via USB, serial, BLE, SDKs
• Write shims, wrappers, or glue code to get data out of oddball devices
• Implement reliable timestampting tools like LabStreamingLayer (LSL), Redis, or ZeroMQ for sub-ms synchronization across systems
• Handle clock drift, jitter, dropped packets, and non-standard APIs

Data Ingestion + Infrastructure

• Design real-time pipelines for high-throughput sensor data (EEG, video, audio, biometrics, etc.)
• Ensure robust data buffering, logging, and failure recovery in live environments
• Build ingestion into cloud storage with scalable, replayable formats
• Develop tools for inspecting data quality and identifying sync or hardware issues

Internal Tools + Monitoring

• Create dashboards and utilities for stream health, device status, and sync QA
• Build APIs or lightweight interfaces for accessing aligned sensor data
• Contribute to semi-automated annotation tooling or behavioral tagging workflows

Ops + Deployment

• Work closely with neuroscientists and behavioral scientists to spec and test hardware
• Occasionally assist with setup, deployment, and debugging in our instrumented spaces

Must-Haves

• 5+ years working across embedded systems, backend data engineering, or time-series ingestion
• Deep understanding of timestamping, clock drift, and multimodal sync
• Strong Python skills, but pragmatic about using other tools where needed
• Familiarity with LSL, Redis, Kafka, or other IPC/streaming frameworks
• Experience handling USB, BLE, serial devices, flaky APIs, and weird hardware
• Comfort with cloud infrastructure (e.g. AWS, GCP) and modern develops tools
• Ability to debug in messy, real-world conditions and ship resilient systems
• A systems-thinking mindset:you like making the whole stack work

Bonus Experiences

• Prior work with EEG, fNIRS, biosensors, other neural, biometric, or physiological data
• Experience building tools for QA, annotation, or compliance monitoring
• Familiarity with time-series databases or data lakes
• Interest in mental health, brain-computer interfaces, or human-AI modeling

Why Join Now?

• Own and architect the core technical pipeline at the heart of a radically new kind of neurotech and AI (neuroAI) company
• Work closely with a world-class science team
• Build infrastructure that could reshape mental health, human understanding, and aligned AI systems
• Help define engineering culture, standards, and scale-up strategy from day zero

This is not a training role. To be considered, you must meet one of the following criteria :

• Completed an undergraduate degree and have at least 4 years of full-time work experience , OR
• Completed a postgraduate degree (Masters or PhD) and have at least 3 years of full-time work experience

We are not considering applicants who are currently in school or who do not meet the minimum experience thresholds.

** Referral ** If you were referred to this role, make sure your referrer sends me a message with your name!

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Quality Assurance

• Industries

  Software Development

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