Job Description
Shape the future of technology at Nexus Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Engineer, you'll develop revolutionary algorithms that solve previously impossible computational challenges. Join our elite team of visionaries in Austin's thriving tech ecosystem, collaborating with Nobel laureates and industry disruptors. We offer competitive equity packages, flexible work arrangements, and state-of-the-art facilities to accelerate your breakthroughs.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Lead research initiatives in quantum error correction and fault-tolerant systems
- Develop hybrid quantum-classical computing frameworks for enterprise solutions
- Collaborate with hardware teams to optimize quantum algorithms for emerging processors
- Publish breakthrough research in leading scientific journals and conferences
- Mentor junior researchers and foster cross-functional innovation
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Proven track record of peer-reviewed publications in quantum information science
- Deep understanding of quantum algorithms (Shor's, Grover's, VQE, QAOA)
- Strong Python/C++ skills with high-performance computing experience
- Familiarity with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical applications