Data Platform Software Engineer

PsiQuantum•Palo Alto, CA

14h

About The Position

Quantum computing promises to solve many important problems that could never be solved on any conventional computer. At PsiQuantum we’re building a general-purpose silicon photonic quantum computer to tackle these very problems. PsiQuantum is looking for an experienced data platform engineer who can design, implement and maintain scalable data pipelines that extract, move and transform data across the Photonic Circuits organization. This role optimizes ETL workflows and integrates various data sources (APIs, DBs, streaming systems) and ensures data quality and observability. This role will work closely with the platforms team and the circuit designers, system engineers and validation engineers. The output will enable ease of producing analytics, scaling tape-out and providing well-structured data sets for reporting. Quantum computing requires breakthrough engineering innovations; we expect software solutions that are novel and custom while at the same time, leverage automation and other best practices from the semiconductor industry. Being a startup in an all-new engineering field, the role is expected to be highly collaborative and requires excellent technical skills to execute projects to meet milestones and technical scope. An ideal Data Platform SW Engineer candidate combines strong SW engineering skills with deep appreciation for semiconductor and chip design EDA toolchains. They are experienced in building scalable data pipelines that ingest and transform data from simulation outputs, layout tools, verification systems, test benches, lab measurements, and manufacturing yield reports. Proficient in Python and SQL, they are comfortable working with large structured and unstructured datasets (netlists, GDS metadata, waveform data, logs) and integrating disparate systems across design, verification, and fabrication environments. They understand the importance of data integrity, traceability, and reproducibility in silicon development, and design pipelines with robust validation, versioning, and auditability. The ideal candidate collaborates effectively with circuit designers, CAD/EDA engineers, verification teams, and manufacturing operations, translating complex engineering workflows into reliable, automated data infrastructure that accelerates design iteration, improves yield analysis, and enables data-driven decision-making across the chip lifecycle.

Requirements

Bachelors or other advanced degrees in Computer Science or related engineering fields.
3+ years of experience building and maintaining production-grade data pipelines or data platforms.
Use programming languages (Python, SQL) and tools (DataBricks, Apache Kafka, Spark, Airflow) to ensure high-quality, scalable data flow.
Understanding of software engineering best practices (version control, CI/CD, testing, code reviews).
Experience working in semiconductor, ASIC/SoC, or photonics design environments.
Knowledge of HPC environments or high-throughput compute clusters.
Experience with complex software development projects for custom test solutions, hardware interfaces, and platform level firmware/software OR experience developing complex experimental systems in the case of recent college graduates.
Proven team player with an ability to work effectively across departments, sites, time zones.
Excellent verbal and written communication skills with an ability to communicate effectively to a variety of audiences.
Strong critical thinking, creative, innovative, analytical, and detail-oriented problem-solving skills.
Proven track record of impactful results.
Ability to work independently with limited direction.
Demonstrated ability to lead and juggle multiple priorities and deliver against a schedule.
Demonstrated interest in quantum computing.
Ability to contribute to a fast-paced start-up environment.

Nice To Haves

Preference for experience in supporting ML or advanced analytic engineering workflows.

Responsibilities

Key member of the software solutions team responsible for developing and deploying software for test systems, product platforms and manufacturing data management.
Design, build, and maintain scalable data pipelines that ingest data from EDA tools, simulation frameworks, verification systems, lab equipment, and manufacturing test platforms.
Develop robust ETL/ELT workflows to transform netlists, layout metadata (specific types???), waveform data, logs, and yield data into structured, analysis-ready datasets.
Integrate disparate engineering systems across design, verification, tapeout, and silicon validation environments.
Ensure data integrity, traceability, and version control across the chip development lifecycle.
Implement automated validation, monitoring, and observability for pipeline reliability and data quality.
Optimize performance for large-scale simulation outputs and high-volume manufacturing datasets.
Collaborate with photonic circuit designers, CAD/EDA/PDK engineers, verification teams, and silicon validation engineers to translate workflow requirements into scalable data solutions.
Build data models and infrastructure that support yield analysis, failure analysis, PPA (power, performance, area) tracking, and design iteration metrics.
Maintain secure and compliant data handling practices across on-prem and cloud environments.
Contribute to internal tooling and automation frameworks to reduce manual data handling and accelerate design cycles.

Benefits

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.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume