Senior Data Software Engineer at black.ai

We believe quantum computing will change everything. It will have the power to transform the foundations of giant industries that rely on intensive computation. PsiQuantum is on a mission to build the world’s first useful quantum computer, capable of delivering these transformative results. We know that means it will need 1 million qubits, error correction, a scalable architecture and a data center footprint.

By harnessing the laws of quantum physics, quantum computers can provide exponential performance increases over today’s most powerful supercomputers, offering the potential for extraordinary advances across a broad range of industries including climate, energy, healthcare, pharmaceuticals, finance, agriculture, transportation, materials design, and many more.

PsiQuantum is uniquely positioned to deliver on the promise of quantum computing years earlier than our competitors. Our architecture is based on photonics which gives us the ability to produce our components using existing high-volume semiconductor manufacturing processes, the same processes that are today producing billions of chips for telecom and consumer electronics applications. Since photons don’t feel heat, we can take advantage of existing cryogenic cooling systems, the kind that have been operating at facilities like the Stanford Linear Accelerator (SLAC). And because photons are in fact light, they can move between subsystems at tremendous speed using standard fiber connectivity.

Our team is building a utility scale quantum computer and the software tools needed to build fault tolerant quantum applications. We’re a highly motivated and collaborative group focused on a singular goal - building the world’s first useful quantum computer on the fastest path possible.

There’s much more work to be done and we are looking for exceptional talent to join us on this extraordinary journey!

Job Summary:

As a Senior Data Software Engineer, you will be at the forefront of advancing our data infrastructure and shaping our data systems and processes. You will gather and analyze user and system requirements, create and optimize system models, and develop robust data integration solutions. Through engagement with cross-functional teams, you will refine, test, and develop data solutions to meet complex business needs. You will significantly impact our data systems, driving innovation and efficiency in our data architecture, data integration processes, and our reporting capabilities. Your work will be critical in enhancing our ability to leverage data for strategic decision-making and operational excellence.

Responsibilities:

• Extend and optimize database models, front-end frameworks, and APIs for seamless data system integration and application performance.
• Develop and maintain robust query pipelines for accurate and timely data processing from various sources.
• Support, enhance, and troubleshoot existing data integration systems and reporting infrastructure.
• Write clean, efficient, and well-documented code.
• Collaborate with cross-functional teams to design, develop, and deploy new features.
• Conduct root cause analysis, code reviews, and unit testing in partnership with experienced team members.
• Assist fellow engineers and managers with data queries, development of data processing algorithms, feature enhancements, bug issues, and application navigation.
• Provide comprehensive support and timely resolution for internal customer issues.
• Demonstrate strong problem-solving and decision-making skills with sound judgment.

Experience/Qualifications:

• Bachelor’s degree in computer science, Math, Physics, Engineering, or related field.
• 8 years of professional experience in Software Engineering, with a focus on developing and maintaining scalable applications.
• Advanced knowledge of Python and SQL programming languages and integrations.
• Proficiency in data modeling and database design principles.
• Experience designing data-intensive applications using Python frameworks such as Flask, Django, FastAPI, etc.
• Experience with data visualization tools such as: Tableau, PowerBI, Python Dash, or JMP.
• Knowledge of AWS infrastructure components (RedShift, EC2, RDS, Lambda, EKS, etc.) and architecture design principles.
• Competency in web application programming and markup languages including JavaScript, HTML, CSS, and related frameworks.
• Extensive practical experience using Git for version control and collaborative software development.
• Proficiency with software development best practices including design, documenting, testing, and debugging.
• Experience with ETL and data ingestion processes and pipelines.

Preferred Skills & Experience:

• Familiarity with semiconductor testing and design principles or prior experience in designing data-driven applications in semiconductor industries.
• Proficiency in data manipulation and scientific computing Python tools and packages, including but not limited to Pandas, NumPy, SciPy, Matplotlib, Jupyter, etc.
• Knowledge and experience with containerization tools such as Docker and event-driven architectures.
• Experience with Infrastructure as Code (IaC) tools like Terraform, AWS CloudFormation, Ansible, etc.
• Experience in designing CI/CD pipelines and orchestrating automated deployments.

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 recruiting@psiquantum.com.

We are not accepting unsolicited resumes from employment agencies.

The range below reflects the minimum and maximum target range for new hire base salary across all US locations. Actual compensation may vary outside of this range 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.

For a fully qualified candidate, the expected base pay range is:

Base Pay Range: $150,000 — $205,000 USD