Senior Data Software Engineer
Senior Data Software Engineer
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1 Vacancy
Job Description
Quantum computing holds the promise of humanitys 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 worldchanging 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 todays 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 Tier1 semiconductor fabs such as GlobalFoundries where we leverage highvolume 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 dont 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 governmentfunded projects to support the buildout of our first Quantum Data Centers and utilityscale quantum computers in Brisbane Australia and Chicago Illinois. Both projects are backed by nations that understand quantum computings potential impact and the need to scale this technology to unlock that potential. And we wont just be building the hardware but also the fault tolerant quantum applications that will provide industrytransforming results.
Quantum computing is not just an evolution of the decadesold 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.
Theres much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!
Team Overview
PsiQuantums Quantum Applications Software Team is dedicated to creating a software environment where quantum application developers can discover build utilize optimize and visualize largescale quantum algorithms for classically intractable problems. As we continue to scale were building out a QA function that bridges classical software QA best practices with cuttingedge quantum software development.
Role Overview
We seek a Senior Data Software Engineer with deep expertise in data engineering to architect build and maintain scalable flexible data pipelines and systems that support critical quantum software applications. These pipelines will enable classical preprocessing on highperformance computing (HPC) platforms and other dataintensive operations. In this handson role you will bridge engineering and scientific researchgathering and analyzing requirements collaborating with scientists to understand existing data operations and using that knowledge to build foundational data infrastructure and frameworks. You will champion engineering excellence and designfirst thinking across the department while partnering with Product and other software engineering teams to establish robust data architecture and systems.
Youll have the opportunity to:
- Collaborate with key stakeholders to gather requirements incorporate feedback and produce engineering design documents that unify user and system needs.
- Build and own critical data infrastructure using modern data technologies (e.g. Databricks AWS Glue/Athena AWS Redshift Snowflake) to enable secure largescale operations.
- Champion data engineering best practices by automating data workflows and implementing proactive monitoring for reliability and performance.
- Partner with crossfunctional teams (QA Product Engineering) to ensure compliance scalability and high availability of the data platform.
Responsibilities:
- Develop and refine data processing pipelines to handle complex scientific or computational datasets.
- Design and implement scalable database solutions to efficiently store query and manage large volumes of domainspecific data.
- Refactor and optimize existing codebases to enhance performance reliability and maintainability across various data workflows.
- Collaborate with crossfunctional teams (e.g. research scientists HPC engineers) to support endtoend data solutions in a highperformance environment.
- Integrate workflow automation tools ensuring the smooth operation of dataintensive tasks at scale.
- Contribute to best practices for versioning reproducibility and metadata management of data assets.
- Implement Observability: Deploy monitoring/logging tools (e.g. CloudWatch Prometheus Grafana) to preempt issues optimize performance and ensure SLA compliance.
Experience/Qualifications:
- Bachelors or Masters degree in Computer Science Engineering or a related field.
- 8 years in Data Engineering with handson cloud and SaaS experience.
- Proven experience designing data pipelines and workflows preferably for highperformance or largescale scientific computations.
- Strong knowledge of database design principles (relational and/or NoSQL) for complex or highvolume datasets.
- Proficiency in one or more programming languages commonly used for data engineering (e.g. Python C Rust).
- Handson experience with orchestration tools such as Prefect Apache Airflow or equivalent frameworks.
- Handson 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&Dfocused settings.
Preferred Qualifications:
- Knowledge and experience with containerization and orchestration tools such as Docker and Kubernetes and eventdriven architectures.
- Knowledge of HPC job schedulers (e.g. Slurm LSF or PBS) and distributed computing best practices is a plus.
- Experience with Infrastructure as Code (IaC) tools like Terraform AWS CDK etc.
- Deployed domainspecific containerization (Apptainer/Singularity) or managed GPU/ML clusters.
PsiQuantum provides equal employment opportunity for all applicants and employees. PsiQuantum does not unlawfully discriminate on the basis of race color religion sex (including pregnancy childbirth or related medical conditions) gender identity gender expression national origin ancestry citizenship age physical or mental disability military or veteran status marital status domestic partner status sexual orientation genetic information or any other basis protected by applicable laws.
Note: PsiQuantum will only reach out to you using an official PsiQuantum email address and will never ask you for bank account information as part of the interview process. Please report any suspicious activity to .
We are not accepting unsolicited resumes from employment agencies.
The range below reflects the minimum and maximum target range for new hire base salary across all US locations. Actual compensation may vary outside of this range and is dependent on various factors including but not limited to a candidates qualifications including relevant education and training competencies experience geographic location and business needs. Base pay is only one part of the total compensation package. Full time roles are eligible for equity and benefits. Base pay is subject to change and may be modified in the future.
For a fully qualified candidate the expected base pay range is:
Required Experience:
Senior IC
Employment Type
Full Time
