Job Description
Shape the future of artificial intelligence at Nexus Quantum Technologies in 2026. We're pioneering quantum machine learning applications that will revolutionize industries from healthcare to autonomous systems. Join our elite team of quantum physicists and AI specialists to develop next-generation algorithms that harness the power of quantum computing for real-world breakthroughs.
This role offers unparalleled opportunities to work with cutting-edge quantum hardware and collaborate with Nobel Prize-winning researchers. Our San Francisco headquarters features state-of-the-art labs, flexible work arrangements, and competitive benefits including equity in our unicorn-status company.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural networks using Qiskit and TensorFlow Quantum
- Collaborate with quantum hardware engineers to optimize algorithm performance on quantum processors
- Create scalable ML models that leverage quantum advantage for predictive analytics
- Lead research initiatives in quantum neural networks and quantum-enhanced deep learning
- Document quantum AI methodologies and publish findings in peer-reviewed journals
- Mentor junior engineers in quantum computing principles and ML best practices
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and Python ML frameworks
- Expertise in quantum algorithms including QAOA, VQE, and quantum neural networks
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Published research in quantum machine learning or top-tier ML conferences
- Ability to translate complex quantum concepts into practical business solutions