Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of quantum-powered AI systems. Based in Austin's vibrant tech ecosystem, you'll collaborate with world-class researchers to develop breakthrough algorithms that will redefine computing by 2026. Our state-of-the-art facility offers unparalleled resources for experimentation and innovation, including access to quantum annealing hardware and petascale computing clusters. We offer competitive compensation, comprehensive benefits, and a flexible work environment that encourages bold thinking and rapid prototyping.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop scalable frameworks for quantum error correction in AI applications
- Collaborate with hardware engineers to prototype quantum-AI integration solutions
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive cross-functional innovation sprints
- Secure research funding through grant proposals and industry partnerships
Qualifications
- PhD in Computer Science, Physics, or related field with quantum computing specialization
- 3+ years of experience in machine learning research with published papers in top venues
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in linear algebra, probability theory, and statistical modeling
- Experience with high-performance computing environments and parallel programming
- Demonstrated ability to translate theoretical concepts into practical implementations
- Excellent written and verbal communication skills for technical and non-technical audiences