Job Description
Are you ready to shape the future of human-computer interaction?
Nexus Core Systems is at the vanguard of the 2026 tech revolution. We are building the foundational architecture for the next generation of Neural Interface Systems (NIS). If you possess a visionary mindset and the technical prowess to bridge the gap between biological cognition and digital synthesis, we want to talk to you.
In this role, you will not just write code; you will architect the synaptic pathways of tomorrow's workforce. You will lead a high-performance team of neuro-engineers and AI specialists in developing seamless, low-latency brain-computer interfaces (BCIs) that enhance human capability.
Why Join Us?
- Work on cutting-edge 2026 technology.
- Competitive equity and benefits package.
- Flexible remote-first policy with access to premium tech hubs.
Join us in defining the trajectory of humanity's digital evolution.
Responsibilities
- Architect Neural Protocols: Design and implement the core protocols for high-bandwidth neural data transmission and reception.
- Lead Engineering Teams: Mentor and guide a cross-functional team of neuroscientists, software engineers, and data scientists.
- Optimize Latency: Drive initiatives to reduce neural processing latency to sub-millisecond levels for real-time feedback loops.
- Security & Ethics: Establish robust security frameworks to protect neural data and ensure ethical deployment of bio-hacking technologies.
- R&D Leadership: Identify emerging trends in 2026 computing paradigms and integrate them into the Nexus Core product roadmap.
- Stakeholder Communication: Translate complex technical neural architecture into clear, compelling narratives for investors and executive leadership.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Neuroscience, Electrical Engineering, or a related field with a focus on AI/BCI.
- Experience: Minimum of 8+ years of experience in software engineering, with at least 3 years in leading technical teams or architectural roles.
- Technical Stack: Deep expertise in Python, C++, and Rust, with experience in TensorFlow or PyTorch for neural network modeling.
- Domain Knowledge: Strong understanding of signal processing, machine learning algorithms, and bio-electric signal analysis.
- Problem Solving: Proven track record of solving complex, unsolved problems in real-time systems and high-concurrency environments.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.