Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're pioneering breakthroughs in AI and quantum computing to solve humanity's most complex challenges. Our multidisciplinary team operates at the intersection of theoretical physics, machine learning, and computational science, developing next-generation systems that will redefine industries. This role offers unparalleled resources to transform visionary concepts into scalable solutions.
We foster a culture of intellectual curiosity, collaborative innovation, and ethical tech development. You'll work alongside Nobel laureates and Turing Award winners in our state-of-the-art research facilities, with access to quantum hardware and petascale computing clusters. Your work will directly shape the technological landscape of the coming decade.
Responsibilities
- Lead R&D initiatives in quantum machine learning algorithms and neural network optimization
- Design and implement hybrid AI-quantum computing architectures for real-world applications
- Develop novel error-correction protocols for fault-tolerant quantum systems
- Collaborate with cross-functional teams to prototype and deploy experimental systems
- Publish groundbreaking research in top-tier journals and conferences
- Secure external funding through NSF and DARPA grants
- Mentor junior researchers and foster innovation within the lab
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent experience)
- 3+ years experience with quantum computing frameworks (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed computing
- Publication record in top-tier journals (Nature, Science, etc.) or major conferences
- Strong background in linear algebra, probability, and statistical modeling
- Experience with high-performance computing and parallel processing
- Demonstrated ability to translate theoretical concepts into practical implementations