Job Description
Shape the future at QuantumLeap Dynamics, where we're pioneering the next wave of AI breakthroughs for 2026 and beyond. Join our elite research team developing transformative neural networks and quantum-computing interfaces that will redefine human-machine collaboration. We offer unparalleled resources, cutting-edge infrastructure, and a culture where your bold ideas become industry-defining innovations.
Our Austin campus features state-of-the-art labs, flexible workspaces, and a dedicated innovation fund for moonshot projects. Enjoy competitive equity packages, wellness stipends, and the opportunity to collaborate with Nobel laureates and Turing Award winners. If you're ready to solve humanity's most complex challenges, this is your moment.
Responsibilities
- Design and implement novel deep learning architectures for next-generation autonomous systems
- Lead research initiatives in quantum machine learning and post-classical computing
- Develop ethical AI frameworks that align with 2026 regulatory standards
- Collaborate with hardware teams to optimize AI-quantum hybrid computing pipelines
- Publish breakthrough research in Nature/Science journals and top-tier AI conferences
- Mentor PhD researchers and spearhead open-source contributions to the global AI community
Qualifications
- PhD in Computer Science, Quantum Physics, or related field with 3+ years research experience
- Expertise in transformer architectures, reinforcement learning, and quantum algorithms
- Published record in NeurIPS/ICML/ICLR with >50 citations
- Proficiency in PyTorch, TensorFlow Quantum, and Cirq frameworks
- Demonstrated ability to secure $1M+ in research funding
- Experience with neuromorphic computing and photonic processors
- Strong background in AI ethics and responsible development frameworks