Home Job Details
N
Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Engineer

Nexus Quantum Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Join the frontier of technological advancement as a Quantum AI Research Engineer at Nexus Quantum Labs. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this cutting-edge role, you'll architect next-gen quantum algorithms and develop AI systems that push the boundaries of computational possibility. Our state-of-the-art facility in San Francisco offers unparalleled resources and a collaborative environment where your expertise will directly impact breakthroughs in cryptography, materials science, and climate modeling. We value bold thinkers who thrive at the intersection of theoretical physics and machine learning. If you're passionate about shaping the technological landscape of 2026 and beyond, this is your opportunity to redefine what's possible.

Responsibilities

  • Design and implement novel quantum algorithms for AI optimization and machine learning acceleration
  • Develop hybrid quantum-classical neural networks with 100+ qubit coherence capabilities
  • Lead research in quantum-resistant cryptography and post-quantum security frameworks
  • Collaborate with cross-functional teams to integrate quantum computing solutions into real-world applications
  • Author peer-reviewed publications and present findings at international conferences
  • Optimize quantum machine learning models for fault-tolerant quantum processors
  • Drive innovation in quantum sensor fusion for autonomous systems

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
  • Expertise in quantum circuit design and quantum error correction techniques
  • Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Strong background in machine learning and deep learning architectures
  • Published research in quantum information science or AI/ML
  • Experience with high-performance computing environments and parallelization
  • Familiarity with NISQ-era hardware constraints and optimization strategies
  • Demonstrated ability to translate complex theoretical concepts into practical implementations

Required Skills

Quantum Computing Machine Learning Quantum Algorithms Cryptography Python Qiskit Cirq Deep Learning Quantum Error Correction High-Performance Computing

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