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 groundbreaking algorithms that will redefine computational boundaries by 2026. This role offers unparalleled opportunity to shape the future of machine learning and quantum computing while collaborating with Nobel laureates and industry pioneers.
We provide a dynamic environment where your research will directly impact breakthrough applications in cryptography, drug discovery, and autonomous systems. Your work will be protected by robust IP agreements with equity participation in commercialized innovations.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Lead research on quantum neural network architectures and optimization techniques
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Collaborate with hardware teams to co-design quantum processors
- Publish findings in top-tier journals and present at international conferences
- Secure research grants and partnerships with academic institutions
- Mentor junior researchers and drive innovation sprints
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Q#, Cirq, or Qiskit)
- Expertise in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum information or AI
- Strong background in linear algebra and quantum mechanics
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Track record of securing research funding or patents
- Excellent written and verbal communication skills