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Senior Quantum Systems Architect

Nexus Future Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Join the vanguard of computing at Nexus Future Technologies, where we are engineering the infrastructure for the post-silicon era. As a Senior Quantum Systems Architect, you will be at the helm of designing scalable quantum circuits and error correction protocols that will power the next generation of artificial intelligence and cryptography.

We are looking for a visionary engineer who thrives in ambiguity and possesses a deep understanding of quantum mechanics, superposition, and entanglement. If you are passionate about building the tools that will define the technological landscape of 2026 and beyond, we want to hear from you.

Responsibilities

  • Architect Quantum Circuits: Design and optimize complex quantum circuits for NISQ (Noisy Intermediate-Scale Quantum) devices, ensuring maximum qubit coherence and fidelity.
  • Algorithm Development: Collaborate with research scientists to develop novel quantum algorithms for optimization, simulation, and machine learning tasks.
  • Error Correction Strategy: Lead the implementation of quantum error correction (QEC) codes, such as surface codes or LDPC codes, to improve system reliability.
  • Hardware-Software Interface: Bridge the gap between theoretical quantum physics and practical software engineering, creating robust APIs for quantum hardware management.
  • Mentorship: Guide a team of junior architects and software engineers, fostering a culture of innovation and technical excellence.
  • Strategic Roadmap: Define the long-term technical roadmap for our quantum infrastructure, evaluating emerging technologies and hardware platforms.

Qualifications

  • Education: PhD in Quantum Physics, Computer Science, Mathematics, or a related field (or equivalent industry experience).
  • Technical Proficiency: Extensive experience with quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
  • Programming: Deep expertise in Python, C++, and CUDA for high-performance computing and simulation environments.
  • Theoretical Knowledge: Strong grasp of quantum mechanics principles, linear algebra, and probability theory.
  • System Design: Proven track record of designing large-scale distributed systems with a focus on fault tolerance and scalability.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Required Skills

Qiskit Cirq Python Quantum Algorithms Error Correction CUDA Linear Algebra Quantum Mechanics System Architecture Distributed Systems

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