Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Machine Learning Engineer to develop next-gen algorithms that will redefine industries. You'll collaborate with world-class researchers in our state-of-the-art San Francisco lab, pushing the boundaries of computational science while building practical applications for healthcare, logistics, and AI. This role offers unparalleled opportunities to shape the future of technology with competitive equity, flexible work arrangements, and a culture that celebrates innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical models to optimize computational efficiency
- Collaborate with quantum hardware teams to translate algorithms into functional systems
- Create robust testing frameworks for quantum algorithm validation
- Publish research in peer-reviewed journals and present at industry conferences
- Mentor junior engineers in quantum computing best practices
- Stay current with emerging quantum technologies and industry trends
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (MS with 5+ years experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum circuit design and optimization
- Strong mathematical background in linear algebra and probability theory
- Published research in quantum machine learning or related fields
- Demonstrated ability to translate complex quantum concepts into practical solutions