Quantum Computing Libraries Engineer

Job Description

Job Title: Senior Quantum Computing Libraries Engineer. Location: Santa Clara, California, USA

Responsibilities:

• Develop, optimize, and maintain GPU-accelerated quantum computing libraries across multiple hardware generations
• Design high-performance HPC algorithms for large-scale quantum circuit simulations
• Analyze GPU, CPU, multi-GPU, and multi-node performance to improve algorithm efficiency;
• Collaborate with research, developer technology, and product management teams on quantum computing and machine learning projects
• Work with external researchers and partners to understand technical requirements and use cases
• Provide technical leadership and mentorship to engineering teams
• Improve software performance through algorithmic and implementation-based optimizations

Qualifications:

• PhD or MSc in Computer Science, Applied Mathematics, Physics, Engineering, or a related field, or equivalent experience
• 8+ years of software engineering experience
• Strong programming skills in C++ and Python
• Experience with GPU programming, multithreading, MPI, and hardware-aware optimization;
• Experience developing scientific software for quantum simulations, circuit simulators, compilers, or hybrid quantum-classical computing
• Strong communication, collaboration, and technical documentation skills
• Experience using agentic coding tools

Preferred:

• Experience with quantum computing frameworks such as Qiskit, Cirq, PennyLane, or similar platforms
• Experience with deep learning frameworks such as TensorFlow or PyTorch
• Strong knowledge of HPC technologies and communication algorithms
• Experience with numerical methods, Hamiltonian integrals, and quantum simulation techniques
• Experience working in Agile software development environments with globally distributed teams

Benefits And Compensation:

• Annual base salary of $184,000 to $287,500 (Level 4) or $224,000 to $356,500 (Level 5)
• Equity awards and comprehensive employee benefits
• Opportunity to work on cutting-edge GPU and quantum computing technologies
• Collaborative environment with leading researchers and engineers

Other Information:

• Applications accepted until at least July 20, 2026
• AI tools may be used during the recruitment process
• Equal opportunity employer committed to diversity and inclusion