Job Description
We are at the forefront of the cognitive revolution, building the infrastructure for the year 2026. As the Lead Neural Interface Engineer on our elite Project 2026 team, you will architect the next generation of seamless human-machine collaboration. We are looking for a visionary engineer who thrives in ambiguity and is ready to define the future of augmented reality and neuro-computing.
Why Join Us?
We offer competitive equity packages, flexible remote-first policies, and the opportunity to work on cutting-edge technology that will define the next decade. If you are ready to push the boundaries of what is possible in software engineering and neural networks, this is your chance to leave a legacy.
Responsibilities
- Lead the architectural design and implementation of low-latency neural interface protocols.
- Collaborate with neuroscientists to translate biological signals into actionable software logic.
- Optimize deep learning models for edge devices and real-time data processing.
- Mentor a team of mid-level engineers and foster a culture of innovation and technical excellence.
- Ensure system scalability, security, and robustness for high-stakes consumer applications.
Qualifications
- PhD or Master’s degree in Computer Science, Neuroscience, or a related technical field.
- 7+ years of experience in software engineering, with a focus on AI/ML or embedded systems.
- Proven experience leading cross-functional teams in high-pressure environments.
- Deep expertise in Python, C++, and CUDA.
- Familiarity with neural network frameworks (PyTorch, TensorFlow) and real-time data pipelines.