Job Description
Shape the technological frontier in 2026 as a Quantum AI Architect at Nexus Future Labs. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join our multidisciplinary team at our Austin innovation hub where you'll architect next-gen quantum neural networks and hybrid AI systems that will redefine industries.
This isn't just another tech role - it's your chance to build the computational backbone of tomorrow. You'll work with our proprietary quantum processors and collaborate with Nobel laureates, AI pioneers, and quantum physicists to develop algorithms that will accelerate drug discovery, optimize climate models, and revolutionize machine learning. Your work will directly impact how humanity solves problems previously deemed unsolvable.
We offer unparalleled resources: access to our 500-qubit quantum annealing arrays, dedicated research budgets, and flexible work arrangements that empower deep focus. If you're passionate about pushing the boundaries of what's possible in computational science, this is where your legacy begins.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for complex optimization problems
- Develop quantum machine learning algorithms that outperform classical neural networks
- Lead cross-functional research teams in quantum cryptography and secure AI systems
- Create fault-tolerant quantum computing protocols for industrial-scale AI applications
- Collaborate with hardware teams to optimize quantum processor performance for AI workloads
- Pioneer new quantum AI frameworks in open-source communities and peer-reviewed publications
- Translate theoretical quantum computing concepts into practical enterprise solutions
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or related field (or equivalent experience)
- 5+ years developing AI/ML systems with demonstrable quantum computing experience
- Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and classical AI frameworks
- Published research in top-tier quantum computing or AI conferences/journals
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience leading technical projects with measurable impact on quantum hardware performance