Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect the next generation of hybrid quantum neural networks and contribute to breakthroughs in climate modeling, drug discovery, and computational optimization. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your innovations will directly shape the future.
We value diverse perspectives and offer competitive benefits including equity, flexible work arrangements, and professional development stipends. If you're passionate about pushing beyond current computational boundaries, we want to meet you.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for 2026-era applications
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Develop novel algorithms leveraging quantum supremacy for real-world problem-solving
- Collaborate with cross-functional teams to translate research into production-ready solutions
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to quantum-AI open-source initiatives
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning, deep learning, and neural network architectures
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Publication record in quantum computing or AI research
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
- Passion for ethical AI development and quantum democratization