SingleStore Logo

SingleStore

MIT- Software Engineer Intern | Engine

Posted Yesterday
Remote
Hiring Remotely in United States
Internship
Remote
Hiring Remotely in United States
Internship
Software Engineer Intern contributing to SingleStore’s distributed SQL database. Responsibilities include developing and testing database features, query processing, storage engines, indexing, distributed systems, concurrency, performance, scalability, and fault tolerance. The role involves code reviews, technical design, debugging, documentation, and collaboration with engineering and product teams.
The summary above was generated by AI
About SingleStore

SingleStore is a cloud-native distributed SQL database built for real-time applications, analytics, and AI. Our platform unifies transactions and analytics so organizations can work with data quickly, reliably, and at scale.

About the Engine Team

The Database Engine team builds the core technology behind SingleStore, including query processing, optimization, storage, data ingestion, distributed systems, reliability, and performance.

As an intern, you will join a small, collaborative engineering team and contribute to meaningful projects that move from design to production through our regular release cycles. You will learn from experienced engineers while developing a strong foundation in systems and database engineering.

About the Role

As a Software Engineer Intern, you will design, implement, test, and improve production-quality software for the SingleStore database. You will work on well-scoped projects, participate in technical discussions and code reviews, and gain hands-on experience solving challenging problems in large-scale software systems.

Your work may include:

  • Developing new features and improvements across the SingleStore database

  • Working on SQL query processing and query optimization

  • Improving storage engines, indexing, and data management

  • Building reliable distributed-system components

  • Working with concurrency, multithreading, and fault tolerance

  • Investigating performance, scalability, and correctness issues

  • Writing production code, tests, documentation, and technical designs

  • Collaborating with engineers, product managers, and cross-functional partners

Depending on the team and project, you may also work with performance engineering, SIMD, LLVM-based code generation, search, vector search, cloud infrastructure, or AI data workloads.

Required Qualifications
  • Currently pursuing a bachelor’s or master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field

  • Strong foundation in data structures, algorithms, operating systems, and computer architecture

  • Understanding of concurrency, multithreading, and server-based systems

  • Programming experience in C++ or C

  • Strong analytical and problem-solving skills

  • Ability to communicate clearly and collaborate effectively with teammates

  • Curiosity, ownership, and willingness to learn

Prior professional experience is not required. We welcome candidates who have developed their skills through coursework, research, projects, internships, or open-source contributions.

Preferred Qualifications
  • Coursework or project experience in databases, distributed systems, operating systems, compilers, networking, or storage systems

  • Experience debugging or optimizing systems-level software

  • Familiarity with Linux or Unix-based systems

  • Experience with performance profiling, memory management, or low-level programming

  • Experience contributing to production software or substantial technical projects

What You’ll Gain
  • Hands-on experience building software for a production distributed database

  • Mentorship from experienced database and systems engineers

  • Exposure to database internals, query processing, storage, reliability, and performance engineering

  • Opportunities to collaborate across engineering and product teams

  • A supportive environment focused on technical growth and meaningful ownership

  • A deeper understanding of how software is designed, tested, released, and operated



SingleStore Seattle, Washington, USA Office

96 Union Street, Seattle, WA, United States, 98101

Similar Jobs

7 Minutes Ago
Remote or Hybrid
United States
160K-180K Annually
Senior level
160K-180K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Lead enterprise data architecture across warehouses, data lakes, downstream applications, and AI workloads. Design data models, Medallion Architecture, ELT standards, semantic layers, APIs, access controls, and reusable datasets. Partner with business and BI teams to drive adoption, conduct architecture reviews, establish platform standards, and mentor data and analytics engineers. The role requires deep Snowflake, dbt, data modeling, pipeline, and semantic-layer expertise, with experience in AI data patterns and cloud infrastructure preferred.
Top Skills: AWSAzureDatabricksDbtDelta LakeGCPGraphQLLlmsPower BIRagRestSnowflakeSnowflake Unity CatalogTableau
15 Minutes Ago
In-Office or Remote
139K-174K Annually
Senior level
139K-174K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Develop and operate scalable DNS control-plane software and APIs for DigitalOcean’s network products. Responsibilities include implementing, testing, optimizing, and monitoring distributed services; collaborating across networking teams; supporting existing products; improving development tooling and processes; and establishing software architecture and engineering best practices. The role requires experience with Go, databases, APIs, Linux systems, high-performance applications, cloud development, containerization, virtualization, CI/CD, and DNS or networking.
Top Skills: ChefCi/CdConsulDnsDockerGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepLinuxPrometheusSQLTemporalUbuntu
15 Minutes Ago
In-Office or Remote
139K-174K Annually
Senior level
139K-174K Annually
Senior level
Artificial Intelligence • Cloud • Software • Infrastructure as a Service (IaaS)
Develop and operate scalable DNS control-plane software and APIs for cloud networking products. Responsibilities include implementing, testing, optimizing, and supporting distributed services; improving performance, monitoring, reliability, and customer experience; collaborating across networking teams; establishing engineering best practices; and operating Linux-based infrastructure. The role uses Go and technologies including Kubernetes, Docker, Kafka, gRPC, Prometheus, and Grafana.
Top Skills: ChefCi/CdConsulDnsDockerGitGoGrafanaGrpcJIRAKafkaKubernetesLightstepLinuxPrometheusSQLTemporalUbuntu

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account