Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next wave of quantum AI systems. This role offers unparalleled opportunity to shape the computational landscape of 2026 by developing hybrid quantum-classical algorithms that solve previously intractable problems. You'll collaborate with Nobel laureates and industry disruptors in a state-of-the-art facility overlooking the San Francisco Bay.
We're seeking visionaries who thrive at the intersection of quantum mechanics and artificial intelligence. Our cross-functional teams operate in agile sprints, with flexible remote options and comprehensive benefits including equity, wellness stipends, and continuing education funds.
Responsibilities
- Design and implement quantum neural networks for real-time data processing
- Lead breakthrough research in quantum machine learning algorithms
- Develop error-corrected quantum computing protocols for AI workloads
- Collaborate with hardware engineers to optimize quantum-classical interfaces
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers in quantum computing methodologies
- Secure patents for novel quantum AI architectures
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Deep expertise in machine learning and neural networks
- Published research in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow, and quantum circuit simulation
- Experience with high-performance computing environments
- Strong analytical skills and ability to communicate complex concepts