Job Description
Join QuantumLeap Innovations at the forefront of technological evolution as a 2026 Quantum AI Research Scientist. We're pioneering next-generation quantum computing systems fused with artificial intelligence to solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the future of computational science while working in our state-of-the-art San Francisco facility. You'll collaborate with Nobel laureates and industry disruptors in an environment that rewards bold innovation and intellectual curiosity.
Responsibilities
- Design and implement quantum algorithms for AI optimization in simulated quantum environments
- Lead cross-functional teams in developing hybrid quantum-classical machine learning frameworks
- Conduct cutting-edge research in quantum error correction for scalable AI applications
- Develop patent-pending methodologies for quantum neural network architectures
- Author peer-reviewed publications and present findings at international conferences
- Mentor junior researchers and drive technical excellence in quantum-AI integration
- Collaborate with hardware teams to optimize quantum processor performance for AI workloads
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Published work in top-tier journals (Nature, Science, etc.) on quantum computing
- Proficiency in Python, TensorFlow, and quantum simulation tools
- Demonstrated experience with large-scale distributed computing systems
- Strong background in advanced mathematics (linear algebra, probability, topology)
- Exceptional problem-solving skills for complex multi-variable systems
- Ability to secure high-level government research clearances if required