Senior Data Software Engineer

Quantum computing holds the promise of humanity’s mastery over the natural world, but only if we can build a real quantum computer. PsiQuantum is on a mission to build the first real, useful quantum computers, capable of delivering the world-changing applications that the technology has long promised. We know that means we will need to build a system with roughly 1 million qubits that supports fault tolerant error correction within a scalable architecture, and a data center footprint.

By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more.

PsiQuantum has determined the fastest path to delivering a useful quantum computer, years earlier than the rest of the industry. Our architecture is based on silicon photonics which gives us the ability to produce our components at Tier-1 semiconductor fabs such as GlobalFoundries where we leverage high-volume semiconductor manufacturing processes, the same processes that are already producing billions of chips for telecom and consumer electronics applications. We also benefit from the quantum mechanics reality that photons don’t feel heat or electromagnetic interference, allowing us to take advantage of existing cryogenic cooling systems and industry standard fiber connectivity.

In 2024, PsiQuantum announced two government-funded projects to support the build-out of our first Quantum Data Centers and utility-scale quantum computers in Brisbane, Australia and Chicago, Illinois. Both projects are backed by nations that understand quantum computing’s potential impact and the need to scale this technology to unlock that potential. And we won’t just be building the hardware, but also the fault tolerant quantum applications that will provide industry-transforming results.

Quantum computing is not just an evolution of the decades-old advancement in compute power. It provides the key to mastering our future, not merely discovering it. The potential is enormous, and we have the plan to make it real. Come join us.

There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

As a Senior Data Software Engineer, you will be at the forefront of advancing our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements, create and optimize system models, and develop robust data integration solutions. Through engagement with cross-functional teams, you will refine, test, and develop data solutions to meet complex business needs. You will significantly impact our data systems, driving innovation and efficiency in our data architecture, data integration processes, and our reporting capabilities. Your work will be critical in enhancing our ability to leverage data for strategic decision-making and operational excellence. 

Responsibilities:

• Extend and optimize database models, front-end frameworks, and APIs for seamless data system integration and application performance.
• Develop and maintain robust query pipelines for accurate and timely data processing from various sources.
• Support, enhance, and troubleshoot existing data integration systems and reporting infrastructure.
• Write clean, efficient, and well-documented code.
• Collaborate with cross-functional teams to design, develop, and deploy new features.
• Conduct root cause analysis, code reviews, and unit testing in partnership with experienced team members.
• Assist fellow engineers and managers with data queries, development of data processing algorithms, feature enhancements, bug issues, and application navigation.
• Provide comprehensive support and timely resolution for internal customer issues.
• Demonstrate strong problem-solving and decision-making skills with sound judgment.  
  

Experience/Qualifications:   

• Bachelor’s degree in computer science, Math, Physics, Engineering, or related field.
• 8 years of professional experience in Software Engineering, with a focus on developing and maintaining scalable applications.
• Advanced knowledge of Python and SQL programming languages and integrations.
• Proficiency in data modeling and database design principles.
• Experience designing data-intensive applications using Python frameworks such as Flask, Django, FastAPI, etc.
• Experience with data visualization tools such as: Tableau, PowerBI, Python Dash, or JMP.
• Knowledge of AWS infrastructure components (Red