Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek visionary researchers to develop next-gen algorithms that will redefine computational boundaries and solve humanity's most complex challenges. Our multidisciplinary team operates at the intersection of physics, machine learning, and systems engineering in a cutting-edge, collaborative environment.
As a Quantum AI Researcher, you'll contribute to groundbreaking projects in quantum neural networks, error-corrected AI systems, and autonomous quantum optimization platforms. We offer competitive compensation, flexible work arrangements, and access to state-of-the-art quantum hardware.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop error mitigation protocols for hybrid quantum-classical AI systems
- Lead research initiatives in quantum neural network architectures
- Collaborate with hardware teams to optimize quantum-AI interface protocols
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Identify emerging quantum computing trends and strategic opportunities
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning and deep learning architectures
- Demonstrated ability to publish peer-reviewed research in quantum computing
- Experience with high-performance computing and distributed systems
- Excellent problem-solving skills for complex multi-variable optimization
- Track record of innovative solutions to theoretical and practical challenges