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Information Technology 🏢 Full Time ⭐️ Verified

Quantum Computing Research Scientist

NexGen Labs
Austin
Estimated Salary
USD 180.000 – USD 250.000
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Join NexGen Labs at the forefront of technological evolution as we pioneer quantum computing solutions for 2026 and beyond. We're seeking a visionary Quantum Computing Research Scientist to develop next-generation algorithms and systems that will redefine computational paradigms. This role offers unparalleled opportunities to collaborate with Nobel laureates and contribute to breakthroughs in cryptography, AI optimization, and materials science.

Our state-of-the-art Austin facility houses a 500-qubit quantum processor and offers competitive benefits including equity, flexible work arrangements, and dedicated R&D funding. Ideal candidates thrive in cross-functional environments and possess a passion for solving humanity's most complex challenges.

Responsibilities

  • Design and implement quantum algorithms for practical applications in finance and healthcare
  • Lead research initiatives in quantum error correction and fault-tolerant systems
  • Collaborate with hardware engineers to optimize quantum processor performance
  • Publish findings in top-tier journals and present at international conferences
  • Mentor junior researchers and contribute to patent development
  • Secure external funding through NSF and DARPA proposals

Qualifications

  • PhD in Physics, Computer Science, or related field with 3+ years quantum research
  • Expertise in quantum algorithms (Shor's, Grover's, VQE) and quantum programming
  • Proficiency with quantum simulators (Qiskit, Cirq) and cloud platforms (AWS Braket, Azure Quantum)
  • Publication record in Nature/Science or equivalent quantum computing venues
  • Experience with superconducting or ion-trap quantum systems
  • Strong background in linear algebra and complex analysis

Required Skills

Quantum Computing Quantum Algorithms Qiskit Cirq Fault Tolerance Cryogenics Machine Learning Cryptography

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