Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum machine learning solutions that will redefine industries by 2026. As a Quantum Machine Learning Engineer, you'll architect hybrid quantum-classical systems that solve previously intractable problems. Collaborate with Nobel laureates and build the next generation of AI infrastructure in our state-of-the-art quantum lab.
We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements for top-tier talent. Shape the future while working with cutting-edge quantum processors and proprietary ML frameworks.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural network architectures
- Optimize quantum circuits for real-world ML workloads
- Conduct research in quantum error correction for ML models
- Collaborate with cross-functional teams to deploy quantum ML solutions
- Document quantum ML methodologies and publish research findings
- Mentor junior engineers in quantum computing principles
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq)
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms
- Proficiency in Python and high-performance computing
- Demonstrated ability to translate complex quantum concepts