Job Description
Shape the Intelligence of Tomorrow.
Nexus Future Labs is at the forefront of the post-silicon revolution. We are seeking a visionary Quantum Neural Network Architect to bridge the gap between quantum mechanics and artificial intelligence. If you possess a rare blend of theoretical physics mastery and deep machine learning expertise, this is your opportunity to engineer the next generation of cognitive computing systems.
In this role, you won't just write code; you will define the architectural blueprints for how machines perceive and process reality. You will work in a state-of-the-art facility with access to next-generation QPU hardware and collaborate with top-tier physicists and data scientists.
Why Join Us?
- Work on cutting-edge projects with global impact.
- Competitive compensation package with equity options.
- Unlimited PTO and comprehensive health benefits.
- Access to the world's most advanced quantum computing clusters.
Responsibilities
- Design and implement hybrid quantum-classical algorithms to enhance deep learning model accuracy.
- Optimize neural network topologies for low-latency quantum processing environments.
- Conduct research on tensor networks and entanglement management to improve data flow.
- Collaborate with the hardware engineering team to tailor software interfaces for new quantum processors.
- Mentor junior researchers in advanced quantum mechanics and computational theory.
- Evaluate and integrate emerging quantum software frameworks (e.g., Qiskit, Cirq) into production pipelines.
Qualifications
- Ph.D. in Quantum Physics, Computer Science, or a related field with a focus on quantum information theory.
- Minimum of 5 years of experience in machine learning, deep learning, or neural network architecture.
- Proficiency in Python, C++, and high-performance computing languages.
- Strong understanding of quantum gate models, error correction, and noise mitigation.
- Experience with neuromorphic computing or quantum annealing is highly preferred.
- Proven ability to translate complex theoretical concepts into scalable software solutions.