Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll collaborate with Nobel laureates and MIT PhDs to develop next-gen computational frameworks. Our state-of-the-art facility in downtown SF offers unlimited compute resources, flexible work arrangements, and equity packages. Shape the future of machine learning and quantum computing.
Responsibilities
- Design and implement quantum neural network architectures for real-world applications
- Develop novel hybrid quantum-classical algorithms for optimization problems
- Collaborate with cross-functional teams to prototype quantum-AI solutions
- Publish peer-reviewed research in top-tier journals (Nature, Science, etc.)
- Lead open-source contributions to quantum machine learning frameworks
- Mentor junior researchers and present findings at international conferences
Qualifications
- PhD in Quantum Computing, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or quantum algorithms
- Strong background in linear algebra, probability theory, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)