Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist 2026

NexusLabs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join NexusLabs at the forefront of 2026's technological revolution as a Quantum AI Research Scientist. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this role, you'll architect next-gen quantum neural networks and develop groundbreaking algorithms that will redefine computational capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation and collaboration with world-class researchers.

Competitive compensation includes equity, comprehensive benefits, and a dedicated research budget. We value intellectual curiosity and offer flexible work arrangements to support your innovative pursuits. If you're ready to shape the future of human-computer interaction, this is your moment.

Responsibilities

  • Design and implement quantum neural network architectures for 2026-era AI applications
  • Lead cross-functional teams in developing hybrid quantum-classical machine learning models
  • Conduct cutting-edge research in quantum algorithm optimization for real-time data processing
  • Collaborate with hardware teams to prototype quantum computing solutions for enterprise clients
  • Publish findings in top-tier journals and present at international quantum computing conferences
  • Mentor junior researchers and contribute to patent development in quantum AI
  • Develop ethical frameworks for responsible quantum AI deployment

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
  • 3+ years of hands-on quantum algorithm development experience
  • Expertise in quantum programming languages (Q#, Qiskit, Cirq) and classical AI frameworks
  • Published research in quantum machine learning or quantum information theory
  • Strong background in linear algebra, probability theory, and computational complexity
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
  • Proven ability to lead technical projects and collaborate across disciplines

Required Skills

quantum computing machine learning neural networks quantum algorithms AI ethics Q# Python TensorFlow research leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

Related Jobs

Similar job recommendations for you

View All