Job Description
Are you ready to define the future of human-machine interaction? Aethelgard Future Systems is seeking a visionary AI & Neural Interface Architect to lead our next-generation research division in Austin, Texas.
As we approach the technological singularity, we need pioneers who can bridge the gap between deep learning algorithms and biological neural pathways. If you possess an unyielding passion for AI ethics, scalability, and next-gen hardware integration, this is your moment to shine.
Why join us?
- Work on projects that will define the era of 2026 and beyond.
- Competitive compensation and equity package.
- State-of-the-art research facilities in the heart of Austin.
Responsibilities
- Design and architect scalable neural network models tailored for low-latency, high-bandwidth neural interfaces.
- Collaborate with hardware engineers to optimize inference engines for edge-computing devices.
- Lead research initiatives in reinforcement learning and bio-inspired computing.
- Establish best practices for data privacy, security, and ethical AI deployment.
- Drive the migration of legacy systems to next-gen quantum-ready frameworks.
- Mentor a high-performing team of machine learning engineers and data scientists.
Qualifications
- Master’s or Ph.D. in Computer Science, Computational Neuroscience, or a related field.
- Minimum of 5+ years of experience in designing and deploying large-scale machine learning systems.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA.
- Strong understanding of distributed systems, microservices, and cloud infrastructure (AWS/GCP).
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, etc.).
- Excellent communication skills with the ability to translate technical concepts for diverse stakeholders.