Senior Software Engineer, Zilliz

High Performance Computing

Salary not provided

C++

CUDA

Senior level

San Francisco Bay Area

Office located in Redwood City, California, United States

Vector database for production-ready AI

Open for applications

Vector database for production-ready AI

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Open for applications

Salary not provided

C++

CUDA

Senior level

San Francisco Bay Area

Office located in Redwood City, California, United States

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Company mission

To democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.

Job

Company

Role

Who you are

Proficiency in C++ is a must
Embracing the engineering mentality. Experience designing and developing large-scale infrastructure software such as distributed databases or parallel data processing frameworks is required
Familiarity with parallel programming (e.g., OpenMP) and micro-optimization techniques
Strong analytical skills and trouble-shooting ability. Strong sense of responsibility and ownership
Experience in vector similarity search algorithms or GPU programming (e.g., CUDA) is preferred

What the job involves

Optimize core algorithm libraries and create novel algorithms for vector preprocessing, index building, and querying
Analyze algorithm performance, and formulate technical plans and benchmarks for improvements
Participate in the development of high-performance vector indexing frameworks
Provide support for the optimization of popular vector indexing algorithms
Implement high-performance algorithms from research papers

Our take

Vector databases have become essential for powering advanced AI applications, which demand high recall, low latency, and robust throughput. Zilliz has positioned itself at the forefront of this field with its vector database management system, Milvus.

Building on its initial success, Zilliz recently released Milvus 2.4m which significantly enhances vector search capabilities. This latest version introduced GPU indexing, leveraging NVIDIA's CUDA-Accelerated Graph Index for Vector Retrieval (CAGRA) which outperforms traditional CPU-based indexes like HNSW.

Zilliz's commitment to innovation is further demonstrated by the expansion of its Hybrid Search capabilities, including a beta version of sparse vector embeddings for more accurate and semantically rich searches. These advancements, along with the evolution of Zilliz Cloud, emphasise the company's dedication to pushing the boundaries of what vector databases can achieve and make the future of the company an exciting one.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Some candidates hear
back within 2 weeks

27% employee growth in 12 months

Company

Funding (last 2 of 3 rounds)

Aug 2022

$60m

SERIES B

Nov 2020

$43m

SERIES B

Total funding: $113m

Company benefits

Equity
Regular bonus and equity refresh opportunities
Comprehensive medical, dental, and vision insurance
Paid time off, including vacation, bereavement, and sick days
Generous 401(k) and regional retirement plans
Hybrid work model/Remote work opportunities available

Company values

Mission Driven: We dedicate oursevles to serving something beyond ourselves. We solve for the customer and bring value to the global engineering community
Aim Higher: High standards are the basis for building trusting relationships. Always execute with excellence
Bias for Action: We trigger action based on thoughtful consideration. We focus on the goals, process and results of our actions
Altruism: Bring out our best, let go of egos, and work with empathy and trust to achieve great things together

Company HQ

Centennial, Redwood City, CA

Articles

Zilliz Unveils Game-Changing Features for Vector Search

Zilliz Cloud boosts vector database performance

Zilliz, the startup behind the Milvus open source vector database for AI apps, raises $60M, relocates to SF

Leadership

Charles Xie

(CEO)

Previously worked as a Senior Software Engineer at Oracle, before creating The Milvus Project. Serves on the governing board of the LF AI & Data Foundation.

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