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Quantum AI Research Engineer

Nexus Future Systems
Austin
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

Are you ready to define the future of technology?

Nexus Future Systems is at the forefront of the 2026 technological revolution. We are looking for a visionary Quantum AI Research Engineer to pioneer the next generation of computational paradigms. You will be instrumental in bridging the gap between quantum mechanics and artificial intelligence, developing algorithms that will redefine what is possible in data processing and machine learning.

In this role, you won't just be writing code; you will be building the infrastructure for a smarter, faster future. Join a team of elite engineers and scientists dedicated to solving the world's most complex problems using cutting-edge quantum technologies.

Why Join Nexus Future Systems?

  • Impactful Work: Solve problems that traditional computers cannot.
  • Top-Tier Compensation: Competitive salary and equity package.
  • Future-Proof Career: Be part of the industry leading the transition to quantum supremacy.

Responsibilities

  • Design and implement novel quantum algorithms for machine learning and optimization tasks.
  • Collaborate with hardware engineers to optimize quantum circuit fidelity and reduce error rates.
  • Analyze quantum hardware performance data to improve algorithmic efficiency and scalability.
  • Develop simulation environments for testing quantum models before deployment on physical hardware.
  • Conduct research on error mitigation techniques and noise reduction strategies.
  • Present technical findings to cross-functional teams and external stakeholders.
  • Stay ahead of the curve by researching emerging trends in quantum computing and AI.

Qualifications

  • Ph.D. in Physics, Computer Science, Mathematics, or a related technical field.
  • Strong proficiency in Python and quantum computing frameworks such as Qiskit, Cirq, or PennyLane.
  • Deep understanding of linear algebra, probability theory, and quantum mechanics fundamentals.
  • Experience with classical machine learning libraries (TensorFlow, PyTorch) and their quantum counterparts.
  • Excellent problem-solving skills and the ability to work in a fast-paced, research-driven environment.
  • Strong written and verbal communication skills.
  • Experience with cloud-based quantum computing platforms (IBM Quantum Experience, Amazon Braket) is a plus.

Required Skills

Quantum Mechanics Machine Learning Python Qiskit Cirq TensorFlow PyTorch Linear Algebra Cloud Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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