Job Description
Join Nexus Dynamics Inc. at the forefront of technological evolution as we pioneer quantum-AI integration for 2026's most transformative applications. We seek a visionary Quantum AI Research Engineer to develop hybrid quantum-classical algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate breakthroughs in cryptography, optimization, and machine learning. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical innovation meets real-world impact. This role includes competitive equity, flexible work arrangements, and cutting-edge research funding.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models for complex data analysis
- Develop novel quantum algorithms for optimization problems in logistics and financial modeling
- Lead research initiatives in quantum-resistant cryptography protocols
- Collaborate with cross-functional teams to integrate quantum solutions into commercial products
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Stay current with advancements in quantum hardware and software ecosystems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of experience in quantum algorithm development and simulation
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
- Strong background in linear algebra, probability theory, and computational complexity
- Publication record in quantum computing or AI research
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Excellent problem-solving skills and innovative mindset