Job Description
Welcome to the forefront of the 2026 era. At Nova Synthetics, we are redefining the boundaries of human potential by developing next-generation Neural Interface Systems. We are seeking a visionary Lead AI Architect to spearhead the development of our proprietary brain-computer interface (BCI) software stack.
If you are passionate about the convergence of neurology and machine learning, and you want to build the infrastructure that powers the future of human augmentation, we want to meet you.
Why Join Us?
- Future-Ready Tech Stack: Work with cutting-edge quantum-ready AI frameworks.
- Global Impact: Your work will directly enhance cognitive capabilities for millions.
- Top-Tier Benefits: Comprehensive health coverage, equity packages, and remote-first flexibility.
Responsibilities
- Architect and deploy scalable deep learning models designed for low-latency neural data transmission.
- Collaborate with neuroscientists to translate biological signals into actionable AI algorithms.
- Lead a team of ML engineers in optimizing inference engines for edge devices.
- Establish best practices for data privacy, security, and ethical AI usage in neuro-technology.
- Drive the roadmap for integrating generative AI with real-time neural feedback loops.
- Conduct rigorous testing of system reliability under high-bandwidth data loads.
Qualifications
- Master’s or PhD in Computer Science, Neuroscience, or a related field.
- 10+ years of experience in designing large-scale machine learning systems.
- Deep expertise in PyTorch, TensorFlow, or JAX with experience in quantization techniques.
- Proven track record of deploying AI models to production environments handling real-time streaming data.
- Experience with C++/CUDA for optimizing model performance on hardware accelerators.
- Strong understanding of neuro-biological signal processing and BCI protocols.