Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI convergence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that bridge quantum computing and machine learning, creating systems that redefine computational boundaries. Our state-of-the-art facility in San Francisco offers unparalleled resources and a culture where breakthroughs are expected.
What You'll Achieve:
- Design quantum neural networks for exponential computational speed
- Develop hybrid quantum-classical AI frameworks
- Lead breakthrough research in quantum-resistant cryptography
- Collaborate with Nobel laureates and Turing Award winners
Your work will directly impact fields from climate modeling to personalized medicine, positioning you as a key architect of our technological future.
Responsibilities
- Architect quantum machine learning algorithms for real-world applications
- Implement quantum error correction protocols in AI systems
- Lead cross-functional teams in quantum-AI integration projects
- Publish research in top-tier journals and conferences
- Develop patentable quantum AI methodologies
- Mentor junior researchers in quantum computing principles
- Collaborate with hardware teams to optimize quantum-AI interfaces
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- Expertise in quantum circuit design and machine learning frameworks
- Published research in quantum machine learning or quantum information
- Proficiency in Python, Qiskit, and TensorFlow Quantum
- Demonstrated experience with high-performance computing environments
- Strong background in linear algebra, probability, and quantum mechanics
- Track record of translating theoretical concepts into practical solutions