Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI systems for 2026. We're seeking a visionary researcher to develop breakthrough algorithms that merge quantum computing with artificial intelligence to solve previously impossible challenges. This role offers unparalleled opportunities to shape the future of computational science while working alongside Nobel laureates and industry pioneers in our state-of-the-art San Francisco facility.
You'll lead projects that will define 2026's technological landscape, pushing the boundaries of what's possible in machine learning, cryptography, and complex system optimization. If you're passionate about creating solutions that will impact billions, this is your chance to make history.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for real-world applications in finance, healthcare, and logistics
- Lead research initiatives focused on achieving quantum advantage by 2026
- Collaborate with hardware teams to optimize quantum circuit performance on next-generation processors
- Develop novel error-correction techniques for scalable quantum machine learning systems
- Author white papers and patents to establish industry leadership in quantum-AI integration
- Mentor cross-functional teams of engineers and data scientists
- Secure $5M+ in research grants for 2026-focused projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Published research in top-tier journals/conferences on quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and computational complexity
- Proven track record of translating theoretical concepts into practical implementations
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)