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Quantum Computing Research Engineer 2026

Nexus Labs
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum computing solutions that will redefine industries worldwide. As a Quantum Computing Research Engineer, you'll work in our state-of-the-art San Francisco lab to develop next-gen algorithms and hardware systems that solve previously impossible problems. Collaborate with Nobel laureates and industry disruptors in an environment where innovation thrives. Your work will directly impact breakthroughs in cryptography, drug discovery, and AI optimization.

We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements to support your peak performance. Our mission is to accelerate human progress through quantum innovation, and we need exceptional talent like you to help us achieve it.

Responsibilities

  • Design and implement quantum algorithms for complex optimization problems
  • Develop error-correction protocols for quantum hardware systems
  • Collaborate with hardware teams to integrate quantum processors
  • Lead research publications in top-tier quantum computing journals
  • Mentor junior engineers in quantum programming best practices
  • Partner with AI teams to hybridize classical-quantum solutions
  • Secure patents for novel quantum computing methodologies

Qualifications

  • PhD in Quantum Computing, Physics, or Computer Science
  • 3+ years experience with quantum programming (Qiskit, Cirq)
  • Published research in quantum algorithms or hardware
  • Expertise in quantum error correction and fault tolerance
  • Strong background in linear algebra and quantum mechanics
  • Experience with superconducting or trapped-ion systems
  • Proven ability to lead cross-functional research projects

Required Skills

Quantum Computing Qiskit Cirq Quantum Algorithms Error Correction Superconducting Systems Quantum Mechanics Machine Learning

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