Design, develop, and maintain high-performance libraries and APIs in C++ and Python for accelerated and distributed quantum–HPC computing
Lead the productization of new functionality end to end, including design, implementation, debugging, testing, performance optimization, and documentation
Prototype and evaluate innovative algorithms and proof-of-concept implementations, transitioning successful ideas into production-quality software
Drive opportunities to improve library quality, performance, scalability, and maintainability through thoughtful re-architecture and modern software engineering practices
Collaborate closely with product management, architects, and internal and external partners to understand user workflows, define requirements, and contribute to technical roadmaps
Communicate technical designs, results, and guidelines effectively across teams, and represent the work through internal reviews, documentation, or technical forums as appropriate

Requirements

Ph.D. in Quantum Computing, Physics, Computer Science, or a related field (or equivalent experience)
5+ years of industry or equivalent academic experience working on quantum circuit simulation techniques, with proven ownership of large-scale projects
Strong proficiency with C++ and/or Python languages, with experience in GPU-accelerated and parallel programming models such as CUDA, and familiarity with MPI, or similar technologies
Excellent communication and interpersonal skills, with the ability to collaborate effectively across multidisciplinary teams

Benefits

equity
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Applicant Tracking System Keywords

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Hard skills

C++PythonGPU-accelerated programmingparallel programmingCUDAMPIquantum circuit simulationperformance optimizationsoftware engineering practicesAPI development

Soft skills

communication skillsinterpersonal skillscollaborationleadershipproblem-solving

Certifications

Ph.D. in Quantum ComputingPh.D. in PhysicsPh.D. in Computer Science