Senior Integration/API architect

Entangled Future; Palo Alto (CA); Hybrid; USD 180,000 - 280,000; Full time

Job summary

PsiQuantum is seeking a Senior Integration/API Architect to join the Engineering team in Palo Alto, CA. The role focuses on building and governing APIs across complex toolchains, with emphasis on data interchange and heterogeneous integrations.

Candidates should have 7+ years in software engineering, strong Python skills, and experience with REST/gRPC and event-driven architectures. This is a full-time on-site position in the United States.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Physics, or related technical field.
• 7+ years of software engineering experience with systems integration or platform architecture.
• Proven experience designing and governing APIs (REST, gRPC, event-driven architectures).
• Familiarity with data interchange formats (protocol buffers, avro).
• Experience integrating with data platforms (DataBricks, Tableau).
• Strong programming skills in Python and at least one systems/backend language (Go, C++, Java, Rust).
• Experience integrating heterogeneous tools with limited or inconsistent APIs.
• Experience defining canonical data models and managing schema/versioning strategy.

Skills

REST APIs

gRPC

Event-driven architectures

Canonical data models

Schema/versioning

Python

Go/C++/Java/Rust

Data integration

Education

Bachelor's or Master's in CS/EE/Physics

Tools

Protocol Buffers

Avro

Job description

Senior Integration/API architect at PsiQuantum, Palo Alto, California, United States. A senior-level full time position in the Engineering team, listed under software engineering.

PsiQuantum’s mission 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 approach is based on silicon photonics. By leveraging the 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: photons don’t feel heat, are immune to electromagnetic interference, and integrate with existing cryogenic cooling and standard fiber-optic infrastructure. In 2024, PsiQuantum announced 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. PsiQuantum also 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. It represents a fundamental shift—and a path to mastering challenges that cannot be solved any other way. The potential is enormous, and we have a clear path to make it real. Come join us. Job Summary: Quantum computing promises to solve

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Physics, or related technical field.
• 7+ years of software engineering experience, with significant exposure to systems integration or platform architecture.
• Proven experience designing and governing APIs (REST, gRPC, event-driven architectures) in complex, multi-tool environments.
• Familiarity with data interchange formats (protocol buffers, avro, etc.)
• Experience integrating with data platforms (DataBricks, Tableau, etc.)
• Strong programming skills in Python (required) and at least one systems or backend language (Go, C++, Java, Rust, or similar).
• Experience integrating heterogeneous tools, including proprietary or vendor software with limited or inconsistent APIs.
• Demonstrated experience defining canonical data models and managing schema/versioning strategy.