Job Description
Join the forefront of technological revolution at NexGen Dynamics, where we're pioneering the intersection of quantum computing and artificial intelligence for 2026 and beyond. We seek a visionary Quantum AI Research Scientist to architect next-gen algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to collaborate with Nobel laureates, access cutting-edge quantum hardware, and publish breakthrough research in top-tier journals. Our Austin campus features state-of-the-art labs, flexible work environments, and competitive benefits including equity packages and unlimited learning stipends.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks for complex optimization problems
- Develop novel error-correction protocols for quantum neural networks
- Lead cross-functional teams in prototyping quantum-resistant cryptography solutions
- Author peer-reviewed publications and present findings at international conferences
- Collaborate with hardware teams to co-design quantum processors with AI acceleration capabilities
- Secure $2M+ in research grants through NSF and DARPA proposals
- Mentor PhD candidates in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 5+ years industry experience
- Published research in Nature/Science or top-tier quantum computing conferences
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum circuit optimization
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in tensor networks and quantum tomography techniques
- Demonstrated success in securing federal research grants
- Experience with high-performance computing architectures (HPC, GPU clusters)
- Patent portfolio in quantum or AI technologies preferred