Data Platform Software Engineer, PsiQuantum
$150-165k
Full time roles are eligible for equity
Office located in Palo Alto, CA
Quantum computer builder
Be an early applicant
Quantum computer builder
501-1000 employees
Be an early applicant
$150-165k
Full time roles are eligible for equity
Office located in Palo Alto, CA
501-1000 employees
Company mission
To build and deploy useful, fault tolerant quantum computers.
Role
Who you are
- 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
- 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
What the job involves
- 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
- 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
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 and Google, 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 recently securing $1B in funding, making it the largest funding round for a quantum computing startup.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2025
$1bn
GROWTH EQUITY VC
Jun 2024
$125m
CONVERTIBLE
Total funding: $2.7bn
Company benefits
- Financial & Retirement: 401(k) with company match, equity grants, and access to financial wellness tools and planning resources.
- Health: Competitive health coverage for you and your dependents that go beyond your standard medical, dental & vision.
- Wellness: $200 quarterly health reimbursement, 12 therapy + 6 coaching sessions with Modern Health for you and depndents, and annual membership to Care.com.
- Time Off: Discretionary Time Off (DTO) for full-time employees in addition to federal holidays and an end-of-year company shut-down.
- Family Leave: 12 weeks of paid parental leave with the support of a dedicated leave consultant.
- Flexible WOrk: Work in office, hybrid, or remote depending on your team and location.
Company HQ
Palo Alto, CA
Leadership
Jeremy O'Brien
(Co-Founder & CEO)Prior to founding PsiQuantum, researched and taught at universities across the world, including Bristol, Stanford, Osaka, Sydney and Queensland.
Mark Thompson
(Co-Founder & 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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