Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-generation algorithms for autonomous systems, climate modeling, and personalized medicine. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
We value disruptive thinkers who thrive in multidisciplinary environments. You'll collaborate with Nobel laureates and Silicon Valley innovators to solve humanity's grandest challenges. If you're passionate about shaping the future of artificial intelligence and quantum computing, this is your calling.
Responsibilities
- Design and implement quantum-enhanced machine learning frameworks for 2026-era applications
- Lead cross-functional teams in developing novel AI architectures for autonomous decision systems
- Publish groundbreaking research in top-tier journals and conferences
- Optimize quantum algorithms for scalability in commercial environments
- Collaborate with hardware teams to co-design quantum-AI hybrid processors
- Mentor junior researchers and foster a culture of scientific excellence
- Secure government and private sector research grants for cutting-edge projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 3+ years industry experience
- Expertise in quantum circuit design and quantum machine learning algorithms
- Proficiency in Python, TensorFlow Quantum, and Cirq frameworks
- Published record in Nature/Science or equivalent tier journals
- Deep understanding of quantum error correction and fault-tolerant systems
- Experience with high-performance computing and GPU-accelerated workflows
- Demonstrated ability to translate theoretical research into scalable prototypes
- Strong communication skills for technical and non-technical stakeholders