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Neural Interface Engineer Jobs in California (NOW HIRING)

... interfaces for viewing and interpreting simulation results. • Troubleshoot and debug issues ... physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel ...

... interfaces for viewing and interpreting simulation results. • Troubleshoot and debug issues ... physics-informed neural networks--to accelerate simulations, enhance efficiency, drive novel ...

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team consists of scientists and engineers, working closely together to define the engineering ...

Neuroengineer, Next Gen

Fremont, CA · On-site

$122K - $226K/yr

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team consists of scientists and engineers, working closely together to define the engineering ...

Build advanced interfaces for viewing and interpreting simulation results. * Troubleshoot and debug ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

Build advanced interfaces for viewing and interpreting simulation results. * Troubleshoot and debug ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

Build advanced interfaces for viewing and interpreting simulation results. * Troubleshoot and debug ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

Our team consists of scientists and engineers, working closely together to define the engineering ... Design, execute, interpret, and communicate the results of neural recording and stimulation ...

We are creating devices that enable a bi-directional interface with the brain. These devices allow ... Our team consists of scientists and engineers, working closely together to define the engineering ...

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Neural Interface Engineer information

What does an interface engineer do?

A neural interface engineer designs and develops systems that connect the human nervous system with electronic devices, often working on brain-computer interfaces or neural implants. They use skills in neuroscience, electrical engineering, and programming, and may work with specialized tools like signal processing software and biocompatible materials. Their work involves testing, troubleshooting, and ensuring safety and functionality of neural interface technologies.

What engineer makes $500,000 a year?

Neural interface engineers, especially those with advanced expertise in neurotechnology, machine learning, and biomedical engineering, can reach or exceed a $500,000 annual salary, often in senior or specialized roles within biotech or tech companies. High compensation typically reflects extensive experience, advanced degrees, and leadership responsibilities in cutting-edge research or product development.

What jobs can you do with neural engineering?

Neural engineers can work in roles such as neural interface developer, biomedical engineer, research scientist, or neurotechnology specialist. These jobs often involve designing brain-computer interfaces, developing neural signal processing algorithms, and working in research labs or medical device companies, requiring skills in neuroscience, engineering, and programming tools like MATLAB or Python.

What is the difference between Neural Interface Engineer vs Brain-Computer Interface Developer?

AspectNeural Interface EngineerBrain-Computer Interface Developer
Required CredentialsBachelor's or Master's in Neuroscience, Biomedical Engineering, or related fieldsBachelor's or Master's in Computer Science, Neuroscience, or Biomedical Engineering
Work EnvironmentResearch labs, medical device companies, biotech firmsTech startups, research institutions, healthcare companies
Industry UsageDevelops hardware/software for neural data acquisition and processingDesigns algorithms and interfaces for translating neural signals into commands
Common Search/ComparisonOften compared due to overlapping skills in neural data and hardware developmentRelated but more software-focused

Neural Interface Engineers focus on developing hardware and systems to connect the nervous system with external devices, while Brain-Computer Interface Developers primarily design software algorithms to interpret neural signals. Both roles require knowledge of neuroscience and engineering, but differ in their emphasis on hardware versus software development.

What jobs make $3,000 a month without a degree?

Neural Interface Engineers typically require a relevant degree due to the specialized nature of the work; however, entry-level roles in tech support, sales, or manufacturing related to neural technology may pay around $3,000 monthly without a degree. Skills in electronics, programming, or technical troubleshooting can help qualify for such positions, often requiring certifications or on-the-job training.
What are popular job titles related to Neural Interface Engineer jobs in California? For Neural Interface Engineer jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Neural Interface Engineer jobs? Cities in California with the most Neural Interface Engineer job openings:
Principal Software Engineer, Neuroscience Platforms

Principal Software Engineer, Neuroscience Platforms

Astera

Emeryville, CA • On-site

$200K - $350K/yr

Full-time

Posted 5 days ago


Job description

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.