Job Description
Shape the future of quantum computing and artificial intelligence at FutureTech Innovations. We're seeking visionary research scientists to pioneer breakthroughs in quantum machine learning and next-gen AI systems that will define 2026 and beyond. Join our elite R&D team in Austin's thriving tech ecosystem, where cutting-edge research meets real-world impact.
Why join us? Competitive equity packages, state-of-the-art quantum lab access, and unparalleled opportunities to publish in top-tier journals. Our interdisciplinary culture fosters collaboration between quantum physicists, AI specialists, and domain experts.
Responsibilities
- Design and implement novel quantum algorithms for machine learning applications
- Lead research on quantum neural networks and hybrid quantum-classical systems
- Develop scalable AI frameworks optimized for quantum processors
- Collaborate with hardware teams to co-design quantum-AI interfaces
- Publish findings in leading journals and present at international conferences
- Secure government and industry grants for quantum-AI initiatives
- Mentor junior researchers and drive technical roadmaps for 2026 quantum-AI integration
Qualifications
- PhD in Quantum Computing, AI, Physics, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Strong publication record in quantum machine learning or advanced AI systems
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to translate theoretical concepts into practical implementations
- Experience with cloud quantum platforms (IBM Quantum, AWS Braket)
- Deep understanding of quantum error correction and fault tolerance principles
- Proven track record of securing research funding or patents