Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum artificial intelligence. We're seeking visionary Quantum AI Research Engineers to develop breakthrough algorithms that will redefine computational paradigms by 2026. Our interdisciplinary team collaborates with MIT and NASA to transform theoretical quantum computing into practical AI solutions for climate modeling, drug discovery, and autonomous systems.
As a key architect of our quantum neural networks, you'll work in our state-of-the-art San Francisco lab equipped with D-Wave and IBM quantum processors. We offer competitive equity packages, unlimited learning stipends, and flexible remote work options with quarterly in-person innovation sprints.
Responsibilities
- Design and implement hybrid quantum-classical AI algorithms for complex optimization problems
- Develop error-correction protocols for quantum neural networks in real-world applications
- Collaborate with physicists to translate quantum phenomena into machine learning frameworks
- Lead cross-functional teams in deploying quantum AI solutions for Fortune 100 clients
- Author peer-reviewed publications on quantum machine learning breakthroughs
- Architect scalable quantum computing infrastructure supporting 10,000+ qubit operations
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing environments
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, quantum mechanics, and computational complexity