Job Description
Shape the future at Nexus Labs – where quantum computing meets artificial intelligence. We're pioneering breakthroughs in 2026's most transformative technology and seeking a visionary Quantum AI Research Scientist to join our elite innovation hub. You'll architect hybrid quantum-classical systems that redefine computational boundaries, collaborate with Nobel laureates, and publish groundbreaking research in Nature and Science. This isn't just a job – it's your opportunity to rewrite the rules of technology while enjoying Austin's vibrant tech ecosystem. Our lab offers unparalleled resources, flexible work arrangements, and a culture where curiosity fuels progress.
Join us to solve humanity's grandest challenges: climate modeling, drug discovery, and secure communications. Your work will directly impact industries from aerospace to healthcare, positioning you at the forefront of the 2026 technological revolution.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural networks for real-world problem solving
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to optimize quantum processor architectures
- Publish peer-reviewed papers and present findings at top-tier conferences
- Secure multi-million dollar research grants from NSF and DARPA
- Mentor PhD candidates and build next-generation quantum talent pipeline
- Drive ethical AI frameworks for quantum-powered autonomous systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (post-doc preferred)
- 3+ years of experience with quantum programming languages (Q#, Qiskit)
- Expertise in quantum machine learning and variational algorithms
- Publication record in Nature/Science or equivalent top-tier journals
- Deep understanding of quantum decoherence and error correction
- Proficiency in high-performance computing and GPU acceleration
- Experience with quantum hardware platforms (IBM Quantum, Rigetti)
- Strong background in linear algebra, probability theory, and statistical mechanics