Job Description
We are pioneering the technological landscape of the future. As we build the infrastructure for the year 2026 and beyond, we are seeking a visionary Next-Gen AI & Quantum Integration Engineer to join our elite R&D team in San Francisco.
In this pivotal role, you will bridge the gap between classical artificial intelligence and emerging quantum computing architectures. You won't just be writing code; you will be architecting the fundamental logic that powers the next generation of computational systems. If you are passionate about solving unsolvable problems and have a hunger to define the future of tech, this is your opportunity to make history.
Why Join Nexus Horizon?
- Work on cutting-edge projects that will define the industry standard for 2026.
- Competitive compensation package including equity options.
- Flexible remote-first policy with access to state-of-the-art hubs.
- Unlimited PTO and continuous learning budget.
Responsibilities
- Design and implement hybrid quantum-classical algorithms to optimize complex neural networks for future hardware architectures.
- Lead the integration of AI models into next-gen quantum processors, ensuring latency optimization and stability.
- Collaborate with cross-functional teams to prototype and validate concepts for the 2026 product roadmap.
- Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
- Conduct rigorous performance analysis and security audits on quantum encryption protocols.
Qualifications
- PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related technical field with a focus on Quantum Mechanics or AI.
- 5+ years of professional experience in Machine Learning, Deep Learning, or High-Performance Computing.
- Hands-on experience with quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Strong proficiency in Python, C++, and CUDA for high-performance parallel computing.
- Proven track record of publishing research papers or delivering scalable production systems.