Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution. We're pioneering quantum neural networks that redefine artificial intelligence. As a Quantum AI Research Scientist, you'll develop next-gen algorithms for autonomous systems, bio-integrated interfaces, and predictive climate models. Our Austin campus features cutting-edge quantum computing infrastructure and a collaborative environment where your ideas shape tomorrow. Benefits include: equity grants, unlimited learning stipends, and flexible hybrid work.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Lead cross-functional teams in prototyping AI-driven autonomous systems
- Publish breakthrough research in top-tier journals and industry conferences
- Collaborate with neuroscientists to develop brain-computer interfaces
- Optimize quantum algorithms for scalability in enterprise environments
- Secure $2M+ in federal innovation grants annually
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development
- Expertise in Python, TensorFlow Quantum, and quantum circuit design
- Published research in Nature/Science or equivalent tier journals
- Strong background in linear algebra, topology, and information theory
- Experience with D-Wave or IBM Q quantum processors
- Proven track record of translating research into commercial products