Job Description
Shape the future of technology at Nexus Quantum Labs, where quantum mechanics meets real-world innovation. We're pioneering breakthroughs in quantum computing for the 2026 landscape, and we need brilliant minds to lead the charge. Join our elite team of researchers to develop next-gen quantum algorithms, solve previously impossible computational challenges, and redefine industries from healthcare to finance.
Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum processors operating at near-absolute zero temperatures. You'll collaborate with Nobel laureates and industry disruptors in an environment that values audacious thinking and rigorous science. This isn't just a job—it's your chance to build the computational foundation of tomorrow.
Responsibilities
- Design and implement novel quantum algorithms for practical applications in cryptography, optimization, and machine learning
- Lead experimental research on quantum error correction and fault-tolerant computing systems
- Develop hybrid quantum-classical computing frameworks for enterprise solutions
- Collaborate with hardware teams to optimize quantum processor performance and scalability
- Publish peer-reviewed research in top-tier journals and present at international quantum computing conferences
- Secure $5M+ in research grants from NSF, DARPA, and private sector partners
- Mentor PhD researchers and drive technical strategy for quantum AI integration
Qualifications
- PhD in Quantum Physics, Computer Science, or Mathematics with 3+ years of quantum research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Quil) and quantum circuit design
- Published record in quantum information theory or quantum algorithms
- Deep understanding of quantum decoherence and error mitigation techniques
- Proficiency in Python, C++, and high-performance computing frameworks
- Demonstrated ability to translate theoretical concepts into experimental implementations
- Experience securing federal or corporate research funding
- Strong background in machine learning and statistical analysis