Data Platform Software Engineer

Job Description

Job Title: Data Platform Software Engineer. Location: Palo Alto, California, USA

Responsibilities:

• 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.