Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that solve previously impossible computational challenges. Our Austin-based innovation hub offers unparalleled resources to transform theoretical breakthroughs into real-world applications across healthcare, cryptography, and materials science.
We're seeking visionaries who thrive at the intersection of quantum mechanics, machine learning, and high-performance computing. You'll collaborate with Nobel laureates and industry pioneers in an environment that values intellectual curiosity and bold experimentation. This is your opportunity to shape the computational paradigm of 2026 and beyond.
Responsibilities
- Design and implement quantum neural networks for complex optimization problems
- Develop hybrid quantum-classical machine learning frameworks
- Conduct experimental validation of quantum algorithms on superconducting qubit systems
- Lead cross-functional research initiatives in quantum error correction and fault tolerance
- Translate theoretical quantum computing concepts into deployable AI solutions
- Publish groundbreaking research in top-tier quantum computing journals
- Advise Fortune 500 clients on quantum computing integration strategies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Expertise in quantum machine learning algorithms and variational quantum circuits
- Publication record in quantum information science or related fields
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate complex quantum concepts into business applications
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)