Job Description
We are seeking a visionary Quantum Neural Architect to lead the development of next-generation artificial intelligence architectures designed for the year 2026 and beyond. As the tech landscape evolves, we need a pioneer who can bridge the gap between classical deep learning and the quantum computing revolution.
In this pivotal role, you will design systems capable of processing complex data sets at speeds previously thought impossible. You will work on cutting-edge projects that define the future of global infrastructure, ensuring our AI solutions are future-proof and scalable.
Why Join Us?
• Work on the bleeding edge of technology.
• Competitive equity package and 401k.
• Flexible remote-first culture with premium benefits.
Responsibilities
- Design and implement hybrid quantum-classical neural network architectures.
- Research and prototype algorithms to optimize AI inference on quantum processors.
- Collaborate with hardware engineers to reduce noise and improve qubit coherence in AI models.
- Lead the technical roadmap for post-quantum machine learning systems.
- Mentor junior researchers and data scientists in advanced AI methodologies.
- Translate complex quantum mechanics concepts into practical software solutions.
Qualifications
- PhD in Computer Science, Physics, Mathematics, or a related field with a focus on Quantum Computing.
- 5+ years of experience in deep learning, machine learning, or artificial intelligence.
- Proficiency in Python, TensorFlow, PyTorch, and quantum SDKs (Qiskit, Cirq, or similar).
- Strong understanding of linear algebra, probability theory, and optimization techniques.
- Demonstrated ability to work in a fast-paced, high-tech startup environment.
- Excellent communication skills and technical writing abilities.