TigerGraph Logo

TigerGraph

Software Engineer

Reposted 13 Days Ago
Easy Apply
In-Office
Santa Clara, CA
120K-140K Annually
Junior
Easy Apply
In-Office
Santa Clara, CA
120K-140K Annually
Junior
The Software Engineer will design and maintain scalable systems for graph data, tackle performance challenges, optimize ingestion and query pipelines, and resolve complex issues across the data stack.
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).

Job Responsibilities

  • Design, implement, and maintain highly available, scalable, and fault-tolerant distributed systems for graph data.
  • Tackle performance and scalability challenges, optimizing data ingestion, indexing, and query pipelines for low-latency and high-throughput requirements. Conduct systematic profiling and tuning.
  • Build, optimize, and operate our core vector embedding infrastructure to enable efficient nearest neighbor search at scale.
  • Proactively diagnose, debug, and resolve complex issues across the entire data stack, from performance bottlenecks and data inconsistencies to system failures. Lead root cause analysis for production incidents and implement preventive measures.

Requirements

  • Bachelor’s degree in Computer Science or a related field
  • 1-3 years of relevant experience

Skills and Knowledge

  • Deep, hands-on experience with one or more vector databases or similarity search libraries.
  • Proven experience designing and working with any graph database and query languages like Cypher
  • Solid understanding of distributed systems concepts: consensus, replication, sharding, and fault tolerance.
  • Solid programming fundamentals; experienced with C++, Go, or any other major programming language.
  • Understanding of distributed systems principles and the ability to evaluate trade-offs in system design.
  • Familiar with Kafka, ETCD or similar technologies;
  • Proactive and collaborative team player with strong communication skills.
  • Open to adopting AI-assisted engineering practices ("vibe coding") to improve productivity and code quality.

Bonus Points

  • Familiar with container tools such as Docker.
  • Hands-on experience with gRPC or REST APIs.
  • Passionate about systems performance profiling, tuning, or debugging.

The anticipated salary range for candidates who will work in Santa Clara, CA is $120,000 - $140,000. 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++
Cypher
Docker
Etcd
Go
Grpc
Kafka
Rest

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