Data Platform Software Engineer

Data Platform Software EngineerLocation: Palo Alto, California, USAResponsibilities:Design, build, and maintain scalable data pipelines for photonic quantum computing systems.Develop ETL and ELT workflows to process simulation outputs, layout metadata, waveform data, logs, and manufacturing yield data.Integrate data from multiple engineering systems including APIs, databases, streaming platforms, and EDA toolchains.Ensure data integrity, traceability, version control, and reproducibility across the full chip development lifecycle.Implement automated validation, monitoring, and observability systems for data quality and pipeline reliability.Optimize data processing performance for large-scale simulation and high-throughput manufacturing datasets.Build data models supporting yield analysis, failure analysis, and performance tracking (PPA metrics).Collaborate with circuit designers, CAD/EDA engineers, verification teams, and manufacturing engineers.Develop internal tools and automation frameworks to reduce manual data handling and accelerate design cycles.Maintain secure and compliant data handling practices across cloud and on-prem systems.Qualifications:Bachelor's or advanced degree in Computer Science, Software Engineering, or related field.3+ years of experience building production-grade data pipelines or data platforms.Strong programming skills in Python and SQL.Experience with distributed data systems and ETL frameworks.Understanding of software engineering best practices including version control, CI/CD, testing, and code reviews.Experience working with large structured and unstructured datasets such as logs, netlists, waveform data, and manufacturing outputs.Strong communication and collaboration skills across technical teams.Ability to manage multiple priorities in a fast-paced environment.Preferred:Experience in semiconductor, ASIC, SoC, or photonics design environments.Familiarity with EDA toolchains and chip design workflows.Experience with tools such as Databricks, Apache Kafka, Spark, or Airflow.Knowledge of HPC or high-throughput compute clusters.Experience supporting ML or advanced analytics workflows.Background in experimental systems or hardware-software integration environments.Strong interest in quantum computing and photonic architectures.Benefits and Compensation:Base salary range: $140,000 to $165,000 depending on location and experience.Equity eligibility as part of total compensation package.Comprehensive benefits package including healthcare coverage and standard employee benefits.Opportunity to work on large-scale fault-tolerant photonic quantum computing systems.Exposure to industry-leading semiconductor manufacturing and quantum research environments.High-impact role in a fast-growing quantum computing startup environment.Other Information:Role supports full-stack photonic quantum computing development at scale.Requires collaboration across design, verification, fabrication, and validation teams.Strong emphasis on data traceability, reproducibility, and automation.PsiQuantum is an equal opportunity employer and does not discriminate on any protected basis.Candidates must be legally authorized to work in the United States.Application process includes standard background checks and verification of qualifications.