Job Description
We are pioneering the infrastructure for the Year 2026 and beyond. Omni-Stream Technologies is seeking a visionary Senior Quantum Systems Architect to bridge the gap between classical computing and emerging quantum realities.
In this high-impact role, you will lead the architectural design of hybrid computing environments, ensuring our systems are scalable, secure, and future-proof. You will work directly with our R&D team to implement next-generation protocols that will define the technological landscape of 2026.
Why Join Us?
- Work on cutting-edge technology that defines the future.
- Competitive compensation and equity packages.
- Flexible remote-first policy with a hub in San Francisco.
Are you ready to build the systems of tomorrow? Apply today.
Responsibilities
- Architect Hybrid Systems: Design and implement robust architectures that integrate classical computing with quantum processors for optimal performance.
- Roadmap Strategy: Define the technical roadmap for 2026, identifying key technologies and integration points for the next generation of software.
- Algorithm Optimization: Collaborate with physicists and data scientists to refine quantum algorithms for real-world applications.
- Security & Compliance: Establish rigorous security protocols to protect quantum data and ensure compliance with evolving industry standards.
- Mentorship: Lead a team of junior engineers and architects, fostering a culture of innovation and technical excellence.
Qualifications
- Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field.
- Experience: 7+ years of experience in systems architecture, with a focus on distributed systems or high-performance computing.
- Technical Skills: Proficiency in Python, C++, and quantum computing frameworks (e.g., Qiskit, Cirq, or PyQuil).
- Future-Forward Mindset: Demonstrated ability to anticipate technological trends and apply them to business solutions.
- Problem Solving: Exceptional analytical skills with a proven track record of solving complex, multi-disciplinary problems.