Job Description
Join NexaTech Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Scientist to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. As a key member of our R&D division, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms that will redefine computing paradigms. Our state-of-the-art lab in San Francisco offers unparalleled resources for experimental research, including access to 128-qubit processors and dedicated quantum annealing infrastructure. This role includes competitive equity, flexible work arrangements, and opportunities to publish in top-tier journals.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Conduct groundbreaking research in quantum error correction and fault-tolerant architectures
- Collaborate with hardware teams to prototype quantum neural networks on real quantum processors
- Develop patent-pending methodologies for quantum-enhanced natural language processing
- Present findings at international conferences and publish in Nature/Science journals
- Mentor junior researchers and establish best practices for quantum software development
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 5+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
- Proven expertise in quantum machine learning algorithms and implementations
- Strong background in linear algebra, probability theory, and information theory
- Publication record in quantum computing or AI research (3+ peer-reviewed papers)
- Familiarity with quantum hardware platforms (IBM Q, Rigetti, D-Wave)
- Experience with high-performance computing clusters and distributed systems
- Demonstrated ability to translate theoretical concepts into practical implementations