Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing revolutionary algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of artificial intelligence through quantum-enhanced machine learning. You'll work in a state-of-the-art facility with cutting-edge quantum processors and collaborate with Nobel laureates, industry pioneers, and visionary engineers. We provide competitive equity packages, flexible work arrangements, and continuous learning stipends to ensure you remain at the vanguard of innovation.
Responsibilities
- Design and implement quantum neural networks for AI optimization
- Develop hybrid quantum-classical algorithms for real-world problem-solving
- Lead cross-functional teams in quantum machine learning research initiatives
- Architect scalable quantum computing infrastructure for AI applications
- Publish breakthrough research in peer-reviewed quantum-AI journals
- Collaborate with hardware teams to bridge quantum software-hardware integration gaps
- Mentor junior researchers and drive innovation through quantum-AI hackathons
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years of quantum algorithm development or quantum machine learning research
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong background in advanced AI/ML architectures and optimization techniques
- Experience with quantum error correction and fault-tolerant computing principles
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, etc.)
- Expertise in Python, C++, and high-performance computing environments