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Information Technology 🏒 Full Time ⭐️ Verified

Senior Neural Interface Engineer

OmniCorp 2026
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to engineer the human-machine connection of tomorrow? OmniCorp 2026 is at the forefront of next-generation neurotechnology, building the infrastructure for a seamless cognitive future. We are seeking a visionary Senior Neural Interface Engineer to lead our core R&D team.

In this pivotal role, you won't just write code; you will shape the very fabric of how humans interact with digital ecosystems. You will be responsible for designing low-latency, high-bandwidth communication protocols between the brain and cloud infrastructure. If you are passionate about pushing the boundaries of what is possible and want to leave a legacy in the 2026 technology landscape, we want to hear from you.

Why Join OmniCorp 2026?

  • Work on the bleeding edge of Brain-Computer Interfaces (BCI).
  • Competitive equity and performance bonuses.
  • Unlimited PTO and remote-first flexibility.
  • Access to our proprietary quantum computing resources.

Responsibilities

  • Design and architect scalable neural processing units (NPUs) optimized for real-time data transmission.
  • Develop advanced signal processing algorithms to decode and encode neural signals with < 5ms latency.
  • Collaborate with neuroscientists to refine the 2026 cognitive roadmap and translate biological signals into actionable code.
  • Optimize existing firmware for next-gen hardware integration, ensuring stability under extreme cognitive loads.
  • Lead code reviews and mentor junior engineers in ethical AI and neural engineering best practices.
  • Conduct rigorous stress-testing of neural interfaces in simulated environments before deployment.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Neuroscience, Electrical Engineering, or a related field.
  • Minimum 5 years of experience in embedded systems, signal processing, or machine learning.
  • Proficiency in C++, Python, and CUDA.
  • Experience with real-time operating systems (RTOS) and hardware-software integration.
  • Strong understanding of neural networks, deep learning, and brain-computer interface architectures.
  • Ability to obtain and maintain a Security Clearance (Top Secret/SCI).

Required Skills

Python C++ CUDA Deep Learning Neural Networks Signal Processing Embedded Systems Brain-Computer Interfaces FPGA RTOS

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