Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational boundaries by 2026. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with Nobel Prize-winning physicists and AI pioneers. This role offers competitive equity, flexible hybrid work, and a comprehensive benefits package including health/dental/vision, 401(k) matching, and paid sabbaticals.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for real-world applications
- Lead R&D projects in quantum neural networks and quantum-enhanced optimization algorithms
- Collaborate with hardware teams to develop quantum error correction protocols for scalable systems
- Publish breakthrough research in top-tier journals and present at international conferences
- Mentor junior researchers and cross-functional teams in quantum computing principles
- Secure federal and private research grants for quantum-AI initiatives
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Proven expertise in quantum machine learning and algorithm development
- Strong publication record in quantum computing or quantum information theory
- Familiarity with NISQ-era hardware limitations and mitigation strategies
- Proficiency in Python/C++ with high-performance computing optimization skills
- Experience securing research funding through NSF or DARPA channels