TigerGraph Logo

TigerGraph

Software Engineer

Reposted 13 Days Ago
Easy Apply
In-Office
Santa Clara, CA
130K-160K Annually
Junior
Easy Apply
In-Office
Santa Clara, CA
130K-160K Annually
Junior
As a Query Language Software Engineer, you will enhance the GSQL query language, optimize compiler functionality, and improve graph analytics performance, while collaborating with various teams.
The summary above was generated by AI
TigerGraph is a platform for advanced analytics and machine learning on connected data. TigerGraph's core technology is the only scalable graph database for the enterprise. Its proven technology supports fraud detection, customer 360, MDM, IoT, AI, and machine learning. 
Fortune 500 organizations and the most innovative mid-size and startup companies choose TigerGraph to accelerate their analytics, AI, and machine learning:
  • Seven out of the top ten global banks use TigerGraph for real-time fraud detection. 
  • Over 50 million patients receive care path recommendations to assist them on their wellness journey. 
  • 300 million consumers receive personalized offers with recommendation engines powered by TigerGraph. 
  • TigerGraph reduces power outages by optimizing the energy infrastructure for 1 billion people. 

This position is primarily remote, but location-based requirements may apply. If the selected candidate is located near one of our company offices, the candidate will have a hybrid work arrangement (2-3 days in-office).

As a Query Language Software Engineer, you will take ownership of the evolution, performance, and feature expansion of GSQL — the powerful query language at the core of TigerGraph. You will work closely with cross-functional teams to design, implement, and optimize language features, compiler enhancements, and runtime components that deliver industry-leading graph analytics capabilities. This position is primarily remote, but location-based requirements may apply. If the selected candidate is located near one of our company offices, the candidate will have a hybrid work arrangement (2-3 days in-office).

Key Responsibilities:

  • Language Design & Implementation: Extend and refine the query language grammar, type system, and semantic analyzer to support new GQL standard and languages constructs.
  • Compiler Development: Build and optimize compiler passes (parsing, semantic analysis, query rewrite, code generation) for both performance and correctness.
  • Performance Optimization: Profile and tune query compilation and execution plan  to achieve low-latency, high-throughput graph queries at scale.
  • Testing & Quality Assurance: Develop comprehensive unit tests, integration tests, and fuzz tests for language features and compiler components.
  • Cross-team Collaboration: Work with product managers, solutions engineering, technical support, and professional services to gather requirements,  deliver robust language features, and solve customer issues.

Minimum Qualifications:

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
  • Experience: 2+ years of software engineering experience with a focus on distributed system, compiler construction, or backend server.
  • Technical Skills: proficiency in Java, and/or C++, knowledge of performance profiling tools (e.g., gprof, perf) and techniques for optimizing system code.
  • Problem Solving: Demonstrated analytical prowess to pinpoint performance bottlenecks and architect scalable, high-performance system solutions..
  • Communication: Excellent verbal and written communication skills.

Preferred Qualifications:

  • Experience with databases or large-scale analytics platform development.
  • Familiarity with memory management, concurrency control, and distributed system principles.
  • Contributions to open-source compiler or language projects.
  • Experience with containerization and CI/CD pipelines (Docker, Kubernetes, Jenkins/GitHub Actions).

The anticipated salary range for candidates who will work in Santa Clara, CA is $130,000 - $160,000. The final salary offered to a successful candidate will be dependent on several factors that may include, but are not limited to, the type and length of experience within the job, type and length of experience within the industry, education, etc. TigerGraph is a multi-state employer and this salary range may not reflect positions that work in other states.

 

Top Skills

C++
Java
Performance Profiling Tools

TigerGraph Redwood, California, USA Office

3 Twin Dolphin Drive, Redwood, CA, United States, 94065

Similar Jobs

Yesterday
Remote or Hybrid
Santa Clara, CA, USA
124K-192K Annually
Junior
124K-192K Annually
Junior
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Software Engineer will build clean, reusable code, collaborate on requirements, design software features, and enhance existing products. Responsibilities include applying best practices, test automation, and understanding AI impacts on processes.
Top Skills: AngularJavaJavaScriptReactVue
2 Days Ago
Hybrid
5 Locations
178K-313K Annually
Senior level
178K-313K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
The Software Engineer, ML Infrastructure will design, optimize, and manage systems for machine learning workloads, ensuring efficient AI model training and serving within Snapchat's infrastructure.
Top Skills: C++Caffe2FlinkJavaPythonPyTorchRayScalaScikit-LearnSparkTensorFlow
2 Days Ago
Hybrid
67 Locations
99K-232K Annually
Senior level
99K-232K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead the development of data solutions using Palantir Foundry, mentor junior staff, manage client accounts, and uphold project standards.
Top Skills: Palantir FoundryPythonTypescript

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account