Job Description
Are you ready to architect the next evolution of human cognition? OmniFuture Systems is seeking a visionary Senior Quantum Neural Interface Engineer to lead our groundbreaking 2026 initiative. We are building the bridge between biological intelligence and quantum computing, and we need a pioneer to define the architecture of tomorrow.
In this role, you will not just write code; you will shape the future of how humans interact with technology. We offer a competitive benefits package, stock options, and the opportunity to work on projects that redefine the boundaries of human potential.
Why Join Us?
- Work on next-generation Brain-Computer Interface (BCI) technology.
- Collaborate with world-class neuroscientists and quantum physicists.
- Flexible remote-first policy with a premium office in Seattle.
Responsibilities
- Design and implement high-bandwidth, low-latency neural bridges between biological neural networks and quantum processors.
- Optimize quantum algorithms for real-time synaptic processing and pattern recognition.
- Lead the architecture of the 2026 software stack, ensuring scalability and security.
- Conduct rigorous testing on prototype neural headsets to ensure biocompatibility and data integrity.
- Collaborate with cross-functional teams to translate scientific research into production-ready software.
- Mentor junior engineers and define technical standards for the future of AI integration.
Qualifications
- PhD or Master’s degree in Computational Neuroscience, Quantum Physics, Computer Science, or a related field.
- 10+ years of experience in software engineering, with a focus on low-level systems and real-time processing.
- Proven experience with quantum computing frameworks (Qiskit, Cirq) and neural network libraries (TensorFlow, PyTorch).
- Strong understanding of signal processing, bio-signals, and data transmission protocols.
- Experience in high-stakes environments where precision is paramount.
- Exceptional problem-solving skills and the ability to thrive in an agile, fast-paced research environment.