Data Platform Software Engineer

PsiQuantum'smission is to build the first useful quantum computers-machines capable of delivering the breakthroughs the field has long promised. Since our founding in 2016, our singular focus has been to build and deploy million-qubit, fault-tolerant quantum systems.

Quantum computers harness the laws of quantum mechanics to solve problems that even the most advanced supercomputers or AI systems will never reach. Their impact will span energy, pharmaceuticals, finance, agriculture, transportation, materials, and other foundational industries.

Our architecture and approachisbased on silicon photonics. Byleveragingthe advanced semiconductor manufacturing industry-including partners like GlobalFoundries-we use the same high-volume processes that already produce billions of chips for telecom and consumer electronics. Photonics offers natural advantages for scale: photonsdon'tfeel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure.

In 2024,PsiQuantumannounced government-funded projects to support the build-out of our first utility-scale quantum computers in Brisbane, Australia, and Chicago, Illinois. These initiatives reflect a growing recognition that quantum computing will be strategically and economically defining-and that now is the time to scale.

PsiQuantumalso develops the algorithms and software needed to make these systems commercially valuable. Our application, software, and industry teams work directly with leading Fortune 500 companies-including Lockheed Martin, Mercedes-Benz, Boehringer Ingelheim, and Mitsubishi Chemical-to prepare quantum solutions for real-world impact.

Quantum computing is not an extension of classical computing. Itrepresentsa fundamental shift-and a path to mastering challenges that cannot besolvedany other way. The potential is enormous, and we have a clearpathto make it real.

Come join us.

Job Summary:

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.

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, 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.

Experience/Qualifications:

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

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 View email address on click.appcast.io .

We are not accepting unsolicited resumes from employment agencies.

The ranges below reflect the target ranges for a new hire base salary. One is for the Bay Area (within 50 miles of HQ, Palo Alto), the second one (if applicable) is for elsewhere in the US (beyond 50 miles of HQ, Palo Alto). If there is only one range, it is for the specific location of where the position will be located.Actual compensation may vary outside of these ranges and is dependent on various factors including but not limited to a candidate's 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.

U.S. Base Pay Range $140,000—$150,000 USD Bay Area Pay Range $150,000—$165,000 USD