Job Description
Are you ready to define the technological landscape of 2026? Aether Systems Inc. is seeking a visionary Lead AI & Neural Interface Architect to spearhead our next-generation research initiatives. In this pivotal role, you will bridge the gap between artificial intelligence and human-computer interaction, creating seamless neural interfaces that redefine how we interact with digital ecosystems.
As a leader in the niche of future-forward technology, we are looking for someone who isn't just building software—they are architecting the cognitive infrastructure of tomorrow. If you are passionate about the convergence of deep learning and hardware systems, we want to hear from you.
Why Join Us?
- Work on cutting-edge projects that will shape the industry standards for the coming decade.
- Competitive compensation package including equity options.
- Flexible remote-first culture with a premium office in downtown San Francisco.
Responsibilities
- Design and architect scalable, high-performance neural network systems capable of processing complex biometric data in real-time.
- Lead a cross-functional team of data scientists, engineers, and UX researchers to deliver breakthrough AI solutions.
- Optimize deep learning models for edge devices, ensuring low latency and high efficiency in 2026-standard environments.
- Establish ethical guidelines and safety protocols for autonomous AI systems and neural feedback loops.
- Collaborate with hardware engineering teams to integrate AI models directly into next-gen neural hardware.
- Conduct rigorous testing and validation to ensure system robustness and user privacy compliance.
Qualifications
- Master’s or PhD in Computer Science, Neuroscience, or a related field with a focus on AI.
- Minimum of 8 years of experience in software engineering, specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks.
- Proven track record of leading large-scale machine learning projects from conception to deployment.
- Strong understanding of neuro-symbolic AI and human-computer interaction principles.
- Excellent communication skills with the ability to translate complex technical concepts to diverse stakeholders.