Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms for real-world quantum advantage in cryptography, drug discovery, and climate modeling. Our Austin campus features state-of-the-art cryogenic labs and collaborative innovation spaces where your work will directly shape humanity's technological trajectory.
We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak creativity. Be part of the team that's building tomorrow's breakthroughs today.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for complex optimization problems
- Develop error-correction protocols for NISQ-era quantum processors
- Collaborate with cross-functional teams to integrate quantum solutions into enterprise systems
- Lead research initiatives in quantum machine learning and neural network acceleration
- Author breakthrough publications and patents in quantum computing applications
- Mentor junior researchers in quantum algorithm development and experimental validation
- Secure $5M+ in R&D funding through compelling research proposals
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical ML frameworks
- Published research in quantum algorithms or quantum machine learning
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and information theory
- Track record of translating theoretical concepts into practical implementations
- Ability to work in cryogenic lab environments and handle precision instrumentation