Job Description
Join FutureTech Innovations at the forefront of quantum revolution! We're seeking visionary Quantum Computing Research Scientists to develop breakthrough algorithms and applications that will redefine computing by 2026. Our Austin lab collaborates with MIT, IBM Research, and government agencies to solve humanity's most complex challenges.
As a key member of our Quantum Research Division, you'll work with superconducting qubits, quantum error correction, and hybrid quantum-classical systems. We offer competitive equity packages, flexible remote options, and access to cutting-edge quantum hardware. Shape the future of technology while advancing your career in one of America's most dynamic tech ecosystems.
Responsibilities
- Design and implement quantum algorithms for optimization, cryptography, and machine learning applications
- Develop error mitigation techniques for noisy intermediate-scale quantum (NISQ) systems
- Collaborate with hardware teams to optimize quantum software performance on proprietary qubit architectures
- Publish research in top-tier journals (Nature, Science, PRL) and present at IEEE Quantum Week
- Lead cross-functional projects with AI, cybersecurity, and materials science teams
- Secure government grants and industry partnerships for quantum research initiatives
- Mentor junior researchers and contribute to quantum education programs
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and simulation frameworks
- Published work in quantum algorithm design or quantum error correction
- Strong mathematical foundations in linear algebra, probability, and information theory
- Experience with superconducting qubit platforms (IBM Quantum, Rigetti) or trapped ions
- Proficiency in Python, C++, and high-performance computing environments
- Track record of securing research funding from NSF, DARPA, or similar institutions
- Excellent communication skills with ability to translate complex concepts for diverse audiences