Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum AI systems for 2026 and beyond. We're seeking visionary research engineers to transform theoretical quantum computing into practical AI solutions that will redefine industries. Our cutting-edge lab combines Nobel Prize-winning research with agile development to build the next generation of autonomous systems.
This hybrid role offers unparalleled opportunities to work with quantum processors, develop novel algorithms, and publish breakthrough research. You'll collaborate with world-class physicists, computer scientists, and AI specialists in our state-of-the-art facility overlooking the San Francisco Bay.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop error correction protocols for quantum computing systems
- Collaborate on quantum neural network architectures for 2026-era autonomous systems
- Create simulation environments for quantum-AI hybrid computational models
- Lead research publications in quantum computing and AI convergence
- Optimize quantum algorithms for cloud deployment on AWS Braket/Azure Quantum
- Mentor junior researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years experience with quantum programming languages (Q#, Qiskit, Cirq)
- Proficiency in Python/C++ with deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or quantum algorithms
- Experience with quantum hardware (IBM Quantum, Rigetti, or IonQ)
- Strong background in linear algebra, probability, and information theory
- Ability to translate complex quantum concepts into practical engineering solutions