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Senior Quantum AI Research Scientist (Project 2026)

Apex Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to define the technological landscape of 2026 and beyond?

Apex Horizon Systems is seeking a visionary Senior Quantum AI Research Scientist to lead our groundbreaking initiatives. We are not just building software; we are architecting the future of intelligence by bridging the gap between quantum mechanics and artificial intelligence.

In this pivotal role, you will spearhead the development of next-generation algorithms that will redefine computational power. If you are passionate about solving humanity's most complex problems and want to work in a high-performance environment, we want to meet you.

Responsibilities

  • Algorithm Development: Design and implement scalable quantum neural networks and hybrid AI models capable of solving problems currently deemed unsolvable by classical computers.
  • Research Leadership: Lead internal research initiatives focused on quantum advantage, optimization, and machine learning convergence.
  • Collaboration: Partner with cross-functional teams, including hardware engineers and data scientists, to integrate quantum solutions into our product ecosystem.
  • Publication: Author high-impact research papers and present findings at top-tier global conferences and peer-reviewed journals.
  • Mentorship: Mentor junior researchers and foster a culture of innovation, rigorous scientific inquiry, and continuous learning.
  • Compliance: Ensure all research adheres to strict ethical guidelines and industry standards for AI safety.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Physics, Applied Mathematics, or a related field with a focus on Quantum Computing or Artificial Intelligence.
  • Experience: Proven track record of research in quantum algorithms or quantum machine learning.
  • Technical Skills: Proficiency in quantum programming frameworks (Qiskit, Cirq, or PyQuil) and classical ML frameworks (TensorFlow, PyTorch).
  • Mathematical Proficiency: Strong foundation in linear algebra, calculus, probability, and statistical analysis.
  • Communication: Exceptional ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Problem Solving: Demonstrated ability to tackle ambiguous problems and drive innovative solutions.

Required Skills

Quantum Computing Artificial Intelligence Machine Learning Quantum Algorithms Python TensorFlow PyTorch Qiskit Cloud Computing Research Ph.D.

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