Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing breakthrough applications in computational medicine, climate modeling, and autonomous systems. This role offers unparalleled opportunity to shape the 2026 tech landscape while collaborating with Nobel laureates and industry disruptors. We provide competitive benefits including equity, flexible remote work options, and a $20,000 annual innovation stipend.
Responsibilities
- Design and implement quantum algorithms for machine learning acceleration
- Lead cross-functional R&D projects integrating quantum computing with AI frameworks
- Develop patent-pending methodologies for quantum error correction in neural networks
- Collaborate with hardware teams to optimize quantum-AI hardware interfaces
- Publish cutting-edge research in peer-reviewed journals and industry conferences
- Mentor junior researchers and drive technical strategy for the quantum-AI division
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Publication record in quantum machine learning or quantum algorithms
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)