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Senior Quantum Solutions Engineer

Intelix.AI
7 months ago
Applications closed

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Role Description



As a Lead Quantum Physicist/Engineer, you’ll spearhead the creation of cutting-edge quantum hardware systems that will drive industry advancements in secure communications and efficiency improvements in aerospace systems. This position involves close collaboration with interdisciplinary teams, including electronics, mechanical, thermal, and computing systems experts, to develop and test quantum solutions applicable to real-world challenges. The role also integrates with business development teams to explore new quantum initiatives that push industry boundaries, making a measurable impact on modern aerospace technologies.



Key Responsibilities



  • Collaborative Development:Partner with design engineers and physicists to create quantum systems, including quantum key distribution and entanglement distribution architectures.
  • Strategic Contribution:Provide insights and recommendations to business development on viable commercial applications for quantum technologies.
  • Technical Analysis and Requirements:Conduct requirement analysis and perform “what-if” analyses to establish technical specifications that meet customer needs, ensuring system compliance.
  • Design and Testing:Oversee subsystem and component-level design, architectural decision-making, and conduct trade-off studies to guide engineering choices.
  • Documentation and Communication:Prepare technical documents, presentations, and white papers, articulating complex quantum developments to cross-functional teams and leadership.



Ideal Candidate Profile



  • Academic Background:Advanced degree in Physics (quantum, condensed matter, particle, or atomic physics) or Engineering Physics with a quantum specialization. Quantum information systems experience is a plus.
  • Experience Level:5-10+ years of hands-on experience in quantum system design, ideally with a background in architecture and product development in commercial or start-up environments.
  • Technical Proficiency:Proficient in engineering software tools (MATLAB, Ansys, Zeemax) and capable of custom code creation (C++, Python, or similar).
  • Communication Skills:Strong written and verbal communication skills, capable of effectively presenting complex technical work to leadership and diverse teams.
  • Problem-Solving Aptitude:Proven ability to proactively identify and resolve technical challenges, with excellent time management skills to meet project milestones.
National AI Awards 2025

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