Principal Software Engineer, Neuroscience Platforms

Posted 2 Days Ago
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Emeryville, CA, USA
In-Office
200K-350K Annually
Senior level
Artificial Intelligence • Machine Learning • Biotech • Generative AI
The Role
Lead design and implementation of low-latency, multi-modal neuroscience research systems: instrument control, data acquisition, high-throughput pipelines, experiment UIs, and cloud infrastructure. Define technical roadmap, mentor engineers, and ensure production reliability and performance for large-scale neural data workflows.
Summary Generated by Built In
About the Role

At Astera Neuro, we are deciphering how activity across billions of neurons becomes thought, perception, and the conscious experience of the world and ourselves. Doing that requires building cutting-edge tools and infrastructure to interface with, record, and control neural activity at an unprecedented scale.

We are hiring a Principal Software Engineer to lead the computational infrastructure that the next generation of large-scale neuroscience research will depend on. Working closely with scientists and hardware engineers, you will span the full stack of our research systems, including instrument control, data acquisition, and analysis, translating open-ended experimental goals into reliable software. The problems are latency-sensitive, multi-modal, and deeply interdisciplinary. You do not need a background in neuroscience to apply; we are looking for an exceptional, pragmatic engineer who enjoys solving hard, interesting problems and picks up the science as they go.

As a principal engineer, you will define the technical roadmap across systems, mentor other engineers, and shape how neuroscience and engineering work together at Astera.

What You Will Build
  • Stimulus presentation and acquisition systems, including VR environments built in Unity, Unreal, or comparable frameworks, that synchronize peripheral streams (eye tracking, displays, haptics) with high-throughput neural recording hardware to millisecond precision.

  • High-throughput pipelines to ingest, process, and store massive, multi-modal neural datasets (electrophysiology, calcium imaging, behavior), with versioned data formats, automated QC, and clear metadata standards.

  • Dashboards, user interfaces, and experiment-design tools that let scientists interact with complex data and run experiments seamlessly.

  • Cloud-based storage, processing and sharing infrastructure that supports distributed teams and large-scale datasets.

What We Are Looking For
  • Exceptional software engineering fundamentals, proven in production. You write clean, testable, well-documented code and approach system design thoughtfully.

  • The range and independence to take a rough idea or open-ended goal, scope a path to a working system, and move forward without waiting for a complete spec.

  • A deep intuition for latency, hardware limits, and data bottlenecks, earned building real-time or performance-critical systems in production (game engines, robotics, embedded systems, audio/video pipelines, or similar).

  • Proficiency in at least two of: Python, C++, C#, Rust.

  • Intellectually curious, collaborative, and eager to learn the science around you.

  • A track record of owning complex systems end-to-end, from architecture and implementation through operational reliability, and of making and defending technical tradeoffs across performance, maintainability, and team velocity.

  • Comfort working across the full stack, from low-level hardware interfaces to cloud infrastructure, with the ability to build and iterate on human-facing research systems with speed and taste.

  • A history of mentoring engineers and leading technical initiatives, with the judgment to set technical direction across teams.

Bonus
  • Familiarity with brain-machine interfaces, neural data acquisition systems, neural data formats and analysis tools.

  • Background in machine learning, particularly online/streaming inference or neural decoding.

  • Experience designing data pipelines at scale (Airflow, Prefect, or similar orchestration tools).

  • Experience with GPU-accelerated computing (CUDA, Vulkan compute shaders).

  • Familiarity with laboratory hardware integration (DAQ systems, TTL synchronization, serial/SPI protocols).

  • Contributions to open-source neuroscience or scientific computing projects.

Education

Backgrounds in computer science, electrical engineering, biomedical engineering, neuroscience, physics, or related fields are all welcome. Graduate work or research experience in neuroscience or a related discipline is a plus but not required.

About Astera Neuro

Astera Neuro is a neuroscience research company deciphering how activity across billions of neurons becomes thoughts, perceptions, and the conscious experience of the world and ourselves. We develop cutting-edge hardware, recording systems, and software, with the goal of enabling the next generation of discoveries about neural circuits, cognition, and behavior.

Skills Required

  • Proficiency in at least two of: Python, C++, C#, Rust.
  • Strong software engineering fundamentals with production experience writing clean, testable, documented code.
  • Experience building real-time or performance-critical systems (game engines, robotics, embedded systems, audio/video pipelines).
  • Ability to scope open-ended goals and independently deliver reliable working systems without complete specs.
  • Track record owning complex systems end-to-end, including architecture, implementation, and operational reliability.
  • Comfort working across the full stack from low-level hardware interfaces to cloud infrastructure and human-facing research systems.
  • History of mentoring engineers and leading technical initiatives with judgment to set technical direction.
  • Familiarity with brain-machine interfaces, neural data acquisition systems, neural data formats and analysis tools.
  • Background in machine learning, particularly online/streaming inference or neural decoding.
  • Experience designing data pipelines at scale (Airflow, Prefect, or similar orchestration tools).
  • Experience with GPU-accelerated computing (CUDA, Vulkan compute shaders).
  • Familiarity with laboratory hardware integration (DAQ systems, TTL synchronization, serial/SPI protocols).
  • Contributions to open-source neuroscience or scientific computing projects.
  • Graduate work or research experience in neuroscience or a related discipline.
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The Company
HQ: Rouen
57 Employees
Year Founded: 2020

What We Do

Astera is a private foundation with a $2.5B endowment focused on steering science and technology toward an abundant future for all. They operate like a high-velocity startup, integrating neuroscience, AI, and bioengineering for AGI research.

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