Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI integration. As a 2026 Quantum AI Research Scientist, you'll architect breakthrough solutions that will redefine computing paradigms. Our cutting-edge lab in San Francisco offers unparalleled resources to push the boundaries of quantum machine learning, working on projects that will shape the technological landscape of 2026 and beyond.
We're seeking visionary minds to tackle complex challenges in quantum algorithms, neural network optimization, and scalable quantum computing. You'll collaborate with Nobel laureates and industry disruptors in an environment where innovation isn't just encouraged—it's demanded. If you're ready to solve problems that don't yet have solutions, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen computational systems
- Lead cross-disciplinary research teams in developing quantum-AI hybrid architectures
- Develop scalable quantum neural networks optimized for 2026-era hardware constraints
- Translate theoretical quantum computing models into practical enterprise solutions
- Secure $5M+ in research grants through innovative proposal development
- Author breakthrough publications in Nature/Science journals
- Mentor PhD researchers and drive quantum-AI curriculum development
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent industry experience)
- 3+ years of hands-on quantum algorithm development using platforms like Qiskit or Cirq
- Published research in quantum machine learning or related top-tier conferences
- Expertise in tensor networks and quantum error correction techniques
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit simulation
- Demonstrated ability to secure federal research grants
- Experience mentoring quantum research teams