Job Description
Join Nexus Futures Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing revolutionary applications in drug discovery, climate modeling, and materials science. This role offers unparalleled opportunity to shape humanity's technological trajectory while working with state-of-the-art quantum hardware and machine learning frameworks.
We offer competitive compensation, flexible hybrid work arrangements, and comprehensive benefits including equity in our fast-growing unicorn startup. Our downtown San Francisco campus features cutting-edge labs, wellness facilities, and collaborative spaces designed for innovation.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization tasks
- Develop novel error-correction protocols for quantum processors
- Collaborate with cross-functional teams to integrate quantum solutions into production AI systems
- Lead research initiatives in quantum neural networks and quantum-enhanced data processing
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to technical documentation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Qiskit, Cirq) or quantum simulators
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Strong background in linear algebra, quantum mechanics, and statistical modeling
- Publication record in quantum computing or AI research
- Ability to work effectively in cross-functional agile teams