Senior Data Software Engineer, PsiQuantum
$150-205k
Office located in Palo Alto, CA
Quantum computer builder
Be an early applicant
Quantum computer builder
201-500 employees
Be an early applicant
$150-205k
Office located in Palo Alto, CA
201-500 employees
Company mission
To create the world’s first useful fault tolerant, error corrected quantum computer that will solve otherwise impossible problems.
Role
Who you are
- 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
Desirable
- Knowledge and experience with containerization and orchestration tools such as Docker and Kubernetes and event-driven 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 domain-specific containerization (Apptainer/Singularity) or managed GPU/ML clusters
What the job involves
- 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 pre-processing on high-performance computing (HPC) platforms and other data-intensive operations.
- In this hands-on role, you will bridge engineering and scientific research—gathering 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 design-first thinking across the department, while partnering with Product and other software engineering teams to establish robust data architecture and systems
- 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, large-scale operations
- Champion data engineering best practices by automating data workflows and implementing proactive monitoring for reliability and performance
- Partner with cross-functional teams (QA, Product, Engineering) to ensure compliance, scalability, and high availability of the data platform
- 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 domain-specific data
- Refactor and optimize existing codebases to enhance performance, reliability, and maintainability across various data workflows
- Collaborate with cross-functional teams (e.g., research scientists, HPC engineers) to support end-to-end data solutions in a high-performance environment
- Integrate workflow automation tools, ensuring the smooth operation of data-intensive 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
Our take
Quantum computing will change the world more than any other imminent technological development, and PsiQuantum sits at the forefront of the charge to build the first quantum computer that will actually work.
The company is unique for the scale of their ambitions. Rather than focusing on what they term “intermediate milestones” like building smaller proof of concept systems, PsiQuantum builds the first large-scale, error-corrected computer, using photonics to deliver over 1,000,000 qubits (current quantum machines have yet to cross the 1,000 qubit mark).
There are plenty of companies building quantum computers, including the likes of IBM, Google and Honeywell, but these prototypical machines lack the size to correct errors, making them exponentially less useful than what PsiQuantum aims for. While other companies operate in the same sphere, PsiQuantum is unequivocally a leader in its field, founded by world-class academics and raising hundreds of millions in funding to reach unicorn status.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Jun 2024
$125m
CONVERTIBLE
Apr 2024
$597.4m
GROWTH EQUITY VC
Total funding: $1.6bn
Company HQ
Palo Alto, CA
Leadership
Jeremy O'Brien
(CEO)Prior to founding PsiQuantum, researched and taught at universities across the world, including Bristol, Stanford, Osaka, Sydney and Queensland.
Mark Thompson
(Chief Technologist)Previously worked as an R&D Engineer at Toshiba and was a research fellow at the University of Cambridge. Is currently a Professor of Quantum Photonics at Bristol University as well as Chief Technologist at PsiQuantum.
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