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Information Technology 🏢 Full Time ⭐️ Verified

Quantum AI Research Scientist

Nexus Innovations
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum AI solutions for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that will redefine computational boundaries. Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough discoveries, with competitive compensation, equity packages, and flexible work arrangements designed for innovation.

As part of our elite R&D team, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer relocation assistance, continuous learning stipends, and opportunities to publish in leading journals. Your work will directly impact industries from healthcare to climate modeling, shaping the technological landscape for decades.

Responsibilities

  • Design and implement quantum machine learning algorithms for real-world applications
  • Lead cross-functional research projects combining quantum computing, AI, and advanced mathematics
  • Develop novel approaches to quantum error correction and system optimization
  • Collaborate with hardware teams to translate theoretical models into practical implementations
  • Publish groundbreaking research in top-tier scientific publications and conferences
  • Mentor junior researchers and contribute to patent development
  • Interface with industry partners to identify commercialization opportunities

Qualifications

  • PhD in Quantum Computing, Physics, Computer Science, or related field
  • 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
  • Expertise in machine learning algorithms and neural network architectures
  • Published research in quantum computing or AI at premier conferences
  • Strong mathematical foundation in linear algebra, probability, and information theory
  • Experience with high-performance computing and distributed systems
  • Proven ability to translate complex theoretical concepts into practical implementations
  • Track record of innovative problem-solving in emerging technologies

Required Skills

Quantum Computing Machine Learning AI Research Python Qiskit Cirq Neural Networks Linear Algebra High-Performance Computing

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