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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

Nexus Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Nexus Labs at the forefront of technological evolution as we pioneer quantum computing breakthroughs for 2026 and beyond. We're seeking a visionary Research Scientist to decode quantum algorithms, simulate complex molecular interactions, and develop next-gen cryptographic protocols. This role sits at the intersection of theoretical physics and applied engineering, offering unparalleled opportunities to shape humanity's digital future.

Our Austin-based innovation hub provides access to state-of-the-art quantum processors, collaborative research environments, and industry partnerships with NASA, IBM, and DARPA. You'll work alongside Nobel laureates and Turing Award winners to solve previously unsolvable computational challenges.

Responsibilities

  • Design and implement quantum algorithms for optimization and simulation problems
  • Develop error correction protocols for scalable quantum systems
  • Lead cross-functional teams in quantum hardware-software integration
  • Publish breakthrough research in Nature/Science journals
  • Secure $1M+ in government grants for quantum initiatives
  • Mentor PhD candidates in quantum information science
  • Collaborate with national labs on quantum supremacy projects

Qualifications

  • PhD in Physics, Computer Science, or related field (postdoc preferred)
  • 3+ years hands-on experience with quantum programming frameworks
  • Published research in quantum algorithms or quantum error correction
  • Expertise in linear algebra and probability theory
  • Proficiency in Cirq, Qiskit, or PennyLane frameworks
  • Strong track record of securing research funding
  • Experience with superconducting qubit architectures
  • Clearance for DoD/NASA collaborative projects

Required Skills

Quantum Computing Quantum Algorithms Error Correction Cirq Qiskit Cryogenics Linear Algebra Cryptography Research Methodology Machine Learning

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