Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. This is your opportunity to shape the future of computational science in Austin's vibrant innovation ecosystem.
As part of our elite Quantum AI division, you'll develop hybrid quantum-neural architectures, design next-gen optimization algorithms, and collaborate with Nobel laureates and industry pioneers. We offer unparalleled resources, flexible work arrangements, and a culture where breakthrough thinking is celebrated.
Our Austin hub features state-of-the-art quantum labs and AI research facilities, with competitive compensation including equity, comprehensive benefits, and professional development stipends. Help us build the computational infrastructure for 2026 and beyond.
Responsibilities
- Design and implement quantum-enhanced machine learning models for real-world applications
- Develop hybrid quantum-classical algorithms for optimization and simulation
- Lead research initiatives in quantum neural networks and quantum-inspired AI
- Collaborate with hardware teams to validate quantum algorithms on prototype systems
- Author breakthrough research papers and contribute to open-source quantum AI frameworks
- Mentor junior researchers and present findings at premier industry conferences
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent industry experience)
- Expertise in quantum algorithms and quantum machine learning frameworks
- Proficiency in Python, C++, and quantum programming languages (Q#, Qiskit, Cirq)
- Strong background in AI/ML with 3+ years of applied research experience
- Demonstrated ability to publish peer-reviewed research in top-tier journals
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)