Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Engineer, you'll architect next-generation algorithms that leverage quantum supremacy while integrating seamlessly with classical neural networks. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research, with competitive compensation and comprehensive benefits including stock options and flexible work arrangements.
Responsibilities
- Design and implement quantum machine learning models for real-world applications
- Develop hybrid quantum-classical algorithms for optimization problems
- Collaborate with quantum hardware teams to validate algorithm performance
- Create robust error correction protocols for noisy quantum systems
- Lead open-source contributions to quantum AI frameworks
- Mentor junior engineers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Deep understanding of quantum algorithms and complexity theory
- 3+ years of experience in machine learning and neural networks
- Publication record in quantum computing or AI research
- Strong knowledge of quantum error correction and fault tolerance
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)