Senior Software Engineer - Data Acquisition

February 28

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

💵 $150k - $250k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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PsiQuantum

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PsiQuantum is a company dedicated to building and deploying the world's first useful quantum computers. Their approach involves a photonics-based architecture, leveraging existing infrastructure to create utility-scale, fault-tolerant quantum computers as rapidly as possible. With a team of quantum architects, chemists, developers, engineers, and theorists, PsiQuantum focuses on developing use-cases for quantum computers capable of solving complex, intractable problems. The company is actively involved in research and scaling their photonics approach to achieve large-scale, fault-tolerant quantum computing.

Quantum Computing • Quantum Algorithms • Quantum Computing Applications Research • Quantum Technology • Quantum Physics

51 - 200 employees

Founded 2015

🔬 Science

🔧 Hardware

🤖 Artificial Intelligence

📋 Description

• The Senior Data Acquisition Engineer will join PsiQuantum's Electronic OS Platform team to support design, development and maintenance of data acquisition related activities. • Understand system architecture and interdependencies between systems. • Design, implement, and maintain data acquisition software. • Develop standard components for data acquisition. • Troubleshoot complex problems and incidents, working with cross-functional teams to identify root causes. • Gather functional requirements from external stakeholders, refining them into technical requirements considering performance, scalability, and usability.

🎯 Requirements

• Bachelor’s Degree or higher in Computer Science, Engineering or other related technical field. • 8+ years in a similar role in a production environment. • Proficient in Python and at least one compiled language (e.g., Rust, Go, or C++). • Demonstrated experience designing, building and maintaining datacenter-scale data acquisition systems. • Experience with various database paradigms (e.g., RDMS, document, timeseries, object-store). • Experience with messaging/streaming platforms (e.g., Kafka, Pulsar, Flink, RabbitMQ). • Experience working within networks built to support high bandwidth, low-latency data acquisition solutions (e.g., spine-leaf architecture). • Experience applying data processing/filtering techniques. • Experience working with containers and Kubernetes. • Experience working with both, bare-metal and cloud provider provisioned infrastructure. • Understanding of service-level communication protocols (e.g., REST, gRPC, webhooks) and related serialization schemes (e.g., Protobuf, Avro). • Code management tools (e.g., git, GitHub, Gitlab) and agile development methodologies (e.g., Scrum, Kanban). • Software testing principles (unit testing, integration testing, regression testing). • Able to work effectively across a number of different teams/functionalities. • Excellent communication skills