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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

2026 Innovations
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Join 2026 Innovations at the forefront of technological revolution as we pioneer quantum computing solutions for tomorrow's challenges. As a Quantum Computing Research Scientist, you'll collaborate with world-class teams to develop cutting-edge algorithms and hardware prototypes that will redefine computational boundaries. Our Austin headquarters offers state-of-the-art laboratories and a culture where innovation thrives.

We provide comprehensive benefits including equity packages, flexible work arrangements, and dedicated R&D funding. This role offers unparalleled opportunities to shape the future of quantum technology while contributing to projects with global impact.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for quantum processors
  • Collaborate with hardware teams on quantum system integration
  • Publish research in peer-reviewed journals and industry conferences
  • Lead cross-functional projects with software and engineering teams
  • Secure and manage research grants from federal and private sources
  • Mentor junior researchers and interns in quantum methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or related field
  • 3+ years of hands-on quantum algorithm development experience
  • Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
  • Strong background in linear algebra and quantum mechanics
  • Published research in quantum computing or quantum information
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, etc.)
  • Ability to translate complex concepts into practical applications
  • US citizenship or permanent residency required for government projects

Required Skills

Quantum Computing Qiskit Cirq Q# Quantum Algorithms Error Correction Linear Algebra Quantum Mechanics Research Hardware Integration

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