Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking visionary researchers to develop next-generation quantum algorithms and applications that will redefine computational possibilities. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research in quantum mechanics, artificial intelligence, and cryptography.
As a key member of our elite research team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and comprehensive benefits including stock options in our quantum-focused startup.
Responsibilities
- Design and implement novel quantum algorithms for optimization, simulation, and machine learning applications
- Lead experimental quantum computing projects using superconducting qubits and photonic systems
- Develop error-correction protocols and quantum error mitigation techniques for fault-tolerant computing
- Collaborate with AI researchers to integrate quantum computing with machine learning frameworks
- Publish breakthrough research in top-tier scientific journals and present at international conferences
- Secure and manage research funding from government grants and private partnerships
- Mentor junior researchers and contribute to quantum education initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum mechanics, quantum information theory, and quantum algorithms
- Proven track record of publishing high-impact research in quantum computing
- Expertise in superconducting qubit systems or photonic quantum processors
- Strong programming skills in Python, C++, and quantum circuit simulation tools
- Experience with machine learning frameworks (TensorFlow, PyTorch) for hybrid quantum-classical models
- Ability to secure competitive research funding and manage complex projects