Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Engineer to pioneer the convergence of quantum computing and artificial intelligence. In this pivotal role, you'll architect next-gen quantum algorithms, develop hybrid quantum-classical ML frameworks, and collaborate with Nobel laureates to solve humanity's grandest challenges. Our state-of-the-art lab in San Francisco offers unparalleled resources and a culture where innovation thrives.
As we build toward 2026's quantum commercialization, you'll shape the future of computational science while enjoying competitive benefits, flexible work arrangements, and dedicated R&D funding. If you're passionate about pushing quantum boundaries and transforming theoretical possibilities into real-world breakthroughs, this is your moment.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization problems
- Develop hybrid quantum-classical machine learning frameworks for 2026-era applications
- Lead quantum hardware-software co-design initiatives with industry partners
- Author breakthrough research papers for Nature/Science journals
- Mentor cross-functional teams in quantum computing principles
- Secure and manage $5M+ in quantum research grants
- Collaborate with US National Labs on quantum security protocols
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Expertise in NISQ-era hardware constraints and error mitigation
- Strong background in AI/ML (PyTorch/TensorFlow proficiency required)
- Experience with high-performance computing clusters and HPC optimization
- Proven track record of securing competitive research grants