Staff Software Engineer, Zilliz

Database Systems

$160-230k

Plus competitive compensation (cash + equity) and regular bonus and equity refresh opportunities

Kafka

Elasticsearch

Redis

Postgres

MySQL

Redshift

Spark

Cosmos DB

Snowflake

Flink

BigQuery

Oracle

Mid and Senior level

San Francisco Bay Area

Office located in Redwood City, CA

Vector database for production-ready AI

Be an early applicant

Vector database for production-ready AI

101-200 employees

B2BArtificial IntelligenceData storageAnalyticsSaaS

Be an early applicant

$160-230k

Plus competitive compensation (cash + equity) and regular bonus and equity refresh opportunities

Kafka

Elasticsearch

Redis

Postgres

MySQL

Redshift

Spark

Cosmos DB

Snowflake

Flink

BigQuery

Oracle

Mid and Senior level

San Francisco Bay Area

Office located in Redwood City, CA

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

4+ years of experience in developing database systems
Active contributor to one or more infrastructure software such as Snowflake, CockroachDB, Oracle RDBMS, Google BigQuery, Spanner, Redshift, Aurora, Cosmos DB, MySQL, PostgreSQL, Hudi, Delta Lake, Iceberg, Ray, Spark, Flink, Kafka, Redis, ElasticSearch, etc
Bachelor’s degree or above in computer science, software engineering, or other relevant disciplines
Willing to adapt to a fast-changing environment (i.e. the different stages of a startup company)

What the job involves

Develop distributed database systems using Zilliz’s innovative data science platforms
Create request plans, develop new systems, and perform prototype verification and testing
Design and write core architecture code. Provide creative solutions to technical issues that arise during the product development process
Take ownership of product performance and stability
Research emerging technology to optimize the performance of underlying distributed platforms
Manage the Milvus open-source community and broaden Zilliz’s reach worldwide

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

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 HQ

Centennial, Redwood City, CA

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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