Job description
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.
