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Quantum AI Engineer

Nexus Quantum Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Shape the Future of Computing

Nexus Quantum Systems is on a mission to redefine the technological landscape leading into 2026. We are seeking a visionary Quantum AI Engineer to bridge the gap between cutting-edge quantum mechanics and advanced artificial intelligence. You will be instrumental in developing hybrid algorithms that solve complex problems currently unsolvable by classical computers.

Why Join Us?

  • Next-Gen Impact: Work on projects that will define the quantum era.
  • Top-Tier Talent: Collaborate with world-class physicists and data scientists.
  • Remote-First Culture: Flexible work environment with a focus on output.

Responsibilities

  • Design, develop, and optimize hybrid quantum-classical algorithms for machine learning tasks.
  • Implement quantum circuits using Qiskit, Cirq, or PyTorch Quantum.
  • Conduct research on NISQ (Noisy Intermediate-Scale Quantum) devices to improve error correction and coherence.
  • Collaborate with hardware engineering teams to tailor software solutions for emerging quantum processors.
  • Translate theoretical quantum mechanics into scalable software architectures for the 2026 market.
  • Document algorithms and provide technical guidance to junior engineers.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 3+ years of experience in AI/ML, with a strong understanding of neural networks and optimization.
  • Familiarity with quantum computing frameworks (Qiskit, Cirq, Pennylane, or PyQuil).
  • Proficiency in Python, C++, and cloud-based deployment environments (AWS, Azure, Google Cloud).
  • Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
  • Experience with high-performance computing (HPC) and parallel processing is a plus.

Benefits

  • Competitive salary and equity package.
  • Comprehensive health, dental, and vision insurance.
  • Unlimited PTO and professional development stipend.

Responsibilities

  • Design, develop, and optimize hybrid quantum-classical algorithms for machine learning tasks.
  • Implement quantum circuits using Qiskit, Cirq, or PyTorch Quantum.
  • Conduct research on NISQ (Noisy Intermediate-Scale Quantum) devices to improve error correction and coherence.
  • Collaborate with hardware engineering teams to tailor software solutions for emerging quantum processors.
  • Translate theoretical quantum mechanics into scalable software architectures for the 2026 market.
  • Document algorithms and provide technical guidance to junior engineers.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 3+ years of experience in AI/ML, with a strong understanding of neural networks and optimization.
  • Familiarity with quantum computing frameworks (Qiskit, Cirq, Pennylane, or PyQuil).
  • Proficiency in Python, C++, and cloud-based deployment environments (AWS, Azure, Google Cloud).
  • Strong problem-solving skills and the ability to work in a fast-paced, research-driven environment.
  • Experience with high-performance computing (HPC) and parallel processing is a plus.

Required Skills

Quantum Computing AI Machine Learning Qiskit Cirq Python C++ Cloud Architecture HPC Error Correction

Ready to Take This Challenge?

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