Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Scientists to develop breakthrough algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources for exploring uncharted territories in quantum machine learning, cryptography, and autonomous systems. Collaborate with Nobel laureates and Turing Award winners in an environment that celebrates bold experimentation and rapid prototyping.
As a key member of our Future Technologies Division, you'll contribute to projects with global impact, including climate modeling simulations, drug discovery acceleration, and next-gen secure communications. We offer competitive equity packages, flexible work arrangements, and access to our exclusive innovation incubator program. Shape the technological landscape of 2026 and beyond.
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex data analysis
- Lead research initiatives in quantum-resistant cryptography and post-quantum security protocols
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Collaborate with cross-functional teams to translate theoretical models into deployable solutions
- Publish groundbreaking research in top-tier journals and conferences
- Secure external funding through grant applications and industry partnerships
- Mentor junior researchers and contribute to our patent portfolio
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in at least one quantum hardware platform (IBM Quantum, Rigetti, or IonQ)
- Strong publication record in quantum AI or adjacent fields
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Demonstrated ability to secure research grants or industry funding
- Experience with ethical AI frameworks and responsible innovation practices