Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. This is your opportunity to shape the future of computing by solving previously unsolvable problems in cryptography, optimization, and machine learning. We offer a cutting-edge research environment with state-of-the-art quantum hardware and unparalleled collaboration with world-class experts.
What You'll Achieve: Lead breakthrough research in quantum machine learning algorithms, publish groundbreaking papers in top-tier journals, and contribute to patentable innovations that will define 2026's tech landscape. Our team operates with academic rigor and startup agility, ensuring your ideas become reality.
Responsibilities
- Design and implement novel quantum-AI hybrid algorithms for complex problem domains
- Collaborate with hardware teams to optimize quantum circuits for ML workloads
- Lead cross-functional projects integrating quantum computing with classical neural networks
- Publish research in peer-reviewed journals and present at international conferences
- Mentor junior researchers and drive innovation through experimental validation
- Develop patent-pending solutions for quantum-secure cryptography systems
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithms or quantum machine learning
- Proficiency in Python, C++, and quantum frameworks like Qiskit or PennyLane
- Strong publication record in quantum computing or AI research
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing and distributed systems
- Passion for solving problems at the intersection of quantum physics and AI