Quantum Algorithm Engineer
AI summary of the role
Develop and optimize quantum circuits and software infrastructure for real-world quantum hardware at a quantum-AI infrastructure startup.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Implement and optimize quantum circuits for efficient execution on target hardware architectures
- Develop and maintain software tools and frameworks for compiling, transpiling, and deploying quantum circuits
- Profile and benchmark circuit performance, identifying bottlenecks and driving improvements
- Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations
What you’ll bring
- MS in physics, computer science, mathematics or a related field
- Strong software engineering skills with experience in scientific computing environments (Python, C++, or similar)
- Hands-on experience with quantum circuit design and quantum software frameworks (e.g. Qiskit, PennyLane, Cirq, or equivalent)
- Understanding of quantum gate sets, circuit compilation, and hardware constraints
Technologies
Qiskit · PennyLane · Cirq · Python · C++ · quantum circuit design · circuit compilation · transpilation · quantum gate sets · quantum error correction
About Sygaldry Technologies
Builds quantum-accelerated AI servers and software that plug quantum hardware into existing AI training and inference workflows to cut cost, energy use, and latency.
Series A
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Role: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You’ll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. What You’ll Work On: Implement and optimize quantum circuits for efficient execution on target hardware architectures Develop and maintain software tools and frameworks for
More from the job description
About the Role: In this role, you will help bridge the gap between quantum algorithms and real-world quantum hardware by developing efficient, hardware-ready quantum software solutions. You’ll work on implementing and optimizing quantum circuits for execution across target architectures, while building and maintaining the tools and frameworks that support circuit compilation, transpilation, and deployment. Partnering closely with research and hardware teams, you will profile and benchmark circuit performance, identify optimization opportunities, and contribute to the advancement of internal quantum software infrastructure that enables scalable and high-performance quantum computing workflows. What You’ll Work On: Implement and optimize quantum circuits for efficient execution on target hardware architectures Develop and maintain software tools and frameworks for compiling/transpiling, and deploying quantum circuits Profile and benchmark circuit performance, identifying bottlenecks and driving improvements Work closely with research and hardware teams to translate algorithmic designs into hardware-ready implementations Contribute to the development of internal quantum software infrastructure and tooling You May Be a Good Fit If You Have: An MS in physics, computer science, mathematics or a related field Strong software engineering skills, with experience in scientific
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