Senior Data Software Engineer

4 days ago

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Logo of PsiQuantum

PsiQuantum

PsiQuantum is a company dedicated to building and deploying the world's first useful quantum computers. Their approach involves a photonics-based architecture, leveraging existing infrastructure to create utility-scale, fault-tolerant quantum computers as rapidly as possible. With a team of quantum architects, chemists, developers, engineers, and theorists, PsiQuantum focuses on developing use-cases for quantum computers capable of solving complex, intractable problems. The company is actively involved in research and scaling their photonics approach to achieve large-scale, fault-tolerant quantum computing.

Quantum Computing • Quantum Algorithms • Quantum Computing Applications Research • Quantum Technology • Quantum Physics

📋 Description

• Quantum computing holds the promise of humanity’s mastery over the natural world • PsiQuantum is on a mission to build the first real, useful quantum computers • The fastest path to delivering a useful quantum computer, years earlier than the rest of the industry • Our architecture is based on silicon photonics allowing us to leverage high-volume semiconductor manufacturing processes • PsiQuantum announced two government-funded projects to build Quantum Data Centers and utility-scale quantum computers • Building both hardware and fault tolerant quantum applications that will transform industries • Looking for exceptional talent to join on this extraordinary journey • PsiQuantum’s Quantum Applications Software Team is dedicated to creating a software environment for quantum application developers • We seek a Senior Data Software Engineer with deep expertise in data engineering to architect, build, and maintain data pipelines and systems • Champion engineering excellence and design-first thinking across the department • Collaborate with stakeholders to gather requirements and produce engineering design documents • Build and own critical data infrastructure using modern technologies • Champion data engineering best practices through automation and proactive monitoring

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field • 8+ years in Data Engineering with hands-on cloud and SaaS experience • Proven experience designing data pipelines and workflows, preferably for high-performance or large-scale scientific computations • Strong knowledge of database design principles (relational and/or NoSQL) for complex or high-volume datasets • Proficiency in one or more programming languages commonly used for data engineering (e.g., Python, C++, Rust) • Hands-on experience with orchestration tools such as Prefect, Apache Airflow, or equivalent frameworks • Hands-on experience with cloud data services, e.g. Databricks, AWS Glue/Athena, AWS Redshift, Snowflake, or similar • Excellent teamwork and communication skills, especially in collaborative, R&D-focused settings

🏖️ Benefits

• Equal employment opportunity for all applicants • Does not unlawfully discriminate based on various factors • No solicitation of unsolicited resumes from agencies

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