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Senior Neural Interface Engineer 2026 | San Francisco

Aetheria Biotech
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

Are you ready to define the interface between human cognition and digital reality? Aetheria Biotech is seeking a visionary Senior Neural Interface Engineer to join our elite R&D division. As we pioneer the next generation of non-invasive brain-computer interfaces (BCI), you will play a pivotal role in architecting the neural pathways that power the future of human augmentation.

We are looking for a forward-thinking engineer who isn't just building code, but building the bridge to the 2026 standard of living. If you thrive in a high-stakes, innovative environment and want to push the boundaries of what is possible in neuroscience and software engineering, we want to meet you.

Responsibilities

  • Architect Neural Protocols: Design and implement low-latency, high-bandwidth data transmission protocols for next-gen neural headsets and cortical implants.
  • Firmware Optimization: Collaborate with hardware teams to optimize firmware for real-time signal processing and error correction in dynamic environments.
  • AI Integration: Integrate machine learning models to interpret neural patterns, ensuring seamless interaction between biological intent and digital execution.
  • System Validation: Lead rigorous testing protocols to ensure safety, efficacy, and regulatory compliance for all neural augmentation systems.
  • Cross-Disciplinary Leadership: Mentor junior engineers and collaborate with neuroscientists and UX designers to translate complex biological data into intuitive user experiences.

Qualifications

  • Education: Master’s or PhD in Computer Science, Neuroscience, Electrical Engineering, or a related field with a focus on Bioinformatics.
  • Experience: 5+ years of experience in embedded systems, FPGA programming, or BCI development.
  • Technical Skills: Proficiency in C++, Python, and real-time operating systems (RTOS); experience with signal processing libraries (MATLAB, NumPy).
  • Soft Skills: Exceptional problem-solving abilities and a deep passion for the ethical implications of human enhancement technology.
  • Location: Must be willing to work on-site in our San Francisco innovation hub.

Required Skills

Neural Networks FPGA C++ Python Signal Processing Embedded Systems Brain-Computer Interface (BCI) Bioinformatics Low-Latency Communication

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