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Vector Databases Jobs in Vancouver, WA (NOW HIRING)

VAST Data

Senior Software Engineer - Database

Vancouver, WA · On-site +1

$111K - $150K/yr

Proven track record of backend work on high-throughput databases, vector stores, or real-time processing engines * Bachelor's degree in Computer Science, Engineering, or equivalent experience Nice to ...

Chabez Tech

Machine Learning Engineer

Portland, OR

... vector databases, RAG systems, or LLM-based reasoning Knowledge of MLOps practices (CI/CD, monitoring, model governance) Experience working in air-gapped or high-security environments Additional ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

... vector databases, RAG systems, or LLM-based reasoning • Knowledge of MLOps practices (CI/CD, monitoring, model governance) • Experience working in air-gapped or high-security environments ...

Intel

Analytics and AI Solution Architect

Hillsboro, OR · On-site

$188K - $265K/yr

... Vector databases in a Retrieval Augmented Generative AI architecture. - Apply Lambda architecture, database design, and data modeling to support scalable and efficient cloud-based applications ...

Nvidia

Senior Data Backend Engineer

Hillsboro, OR

$115K - $156K/yr

Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. * Strong architectural skills with a proactive, problem-solving mentality. * Experience in ...

Nvidia Corporation

Senior Data Backend Engineer

Hillsboro, OR · On-site

$133K - $175K/yr

Proficiency in key technologies like Kubernetes, Helm, Hive, Parquet, SQL, vector databases, e.g., Milvus. * Strong architectural skills with a proactive, problem-solving mentality. * Experience in ...

Onto

AI/ML Internship

Hillsboro, OR · On-site

... of vector databases (e.g., FAISS, Pinecone) Experience with Retrieval-Augmented Generation (RAG) concepts Exposure to cloud platforms (Azure preferred) Interest in semiconductor or industrial ...

Pwc

ERP AI Engineer - Manager

Portland, OR · On-site

$99K - $232K/yr

... with vector databases and semantic search architectures - Translating complex business problems into AI solution designs - Contributing to business development and proposal writing - Cloud ...

Genesis10

Senior AI Engineer

Camas, WA · On-site

$115K - $150K/yr

Azure Foundry, Kubernetes, Docker, vector databases, GPU clusters, and AI model governance frameworks Bachelor's degree in Computer Science, AI, or a related field (or equivalent professional ...

D.A. Davidson

AI & Automation Engineer

Portland, OR

... vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. Financial Services Experience:

Pwc

CTIO AI Engineering Manager

Portland, OR · On-site

$73K - $244K/yr

... vector databases and orchestration tools like LangChain - Translating complex business problems into software-engineered AI solutions - Deploying on cloud platforms like AWS, GCP, Azure ...

D.A. Davidson

AI & Automation Engineer

Portland, OR

... with vector databases for domain-specific Q&A. Experience with Azure AI Foundry and Azure AI capabilities like document intelligence, computer vision, speech, and more. • Financial Services ...

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Showing results 1-20

All JobsVector Databases JobsVector Databases Jobs in Vancouver, WA

Vector Databases information

What is the salary of a vector database developer?

The salary of a vector database developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Skilled developers with expertise in machine learning, data structures, and database management may earn higher salaries, especially in tech hubs or with advanced certifications.

Are vector databases the future?

Vector database jobs involve managing and optimizing databases designed for high-dimensional vector data, which are essential for AI and machine learning applications. As AI continues to grow, demand for professionals skilled in vector database technologies and related tools like embedding models is expected to increase, making this a promising field for future job opportunities.

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What can you do with a vector database?

A vector database is used in roles involving data management and machine learning to store, search, and retrieve high-dimensional vector representations of data such as images, text, or audio. It enables efficient similarity searches, supporting applications like recommendation systems, natural language processing, and computer vision. Working with a vector database often requires knowledge of data structures, indexing techniques, and programming skills in languages like Python or C++.

What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What are the top 5 vector databases?

Top vector databases used in data management and AI applications include Pinecone, Weaviate, FAISS, Milvus, and Annoy. These databases are optimized for storing and searching high-dimensional vector data, often requiring skills in machine learning and database management. They are widely adopted for tasks like similarity search and recommendation systems.
What are popular job titles related to Vector Databases jobs in Vancouver, WA? For Vector Databases jobs in Vancouver, WA, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Vancouver, WA look for? The top searched job categories for Vector Databases jobs in Vancouver, WA are:
What cities near Vancouver, WA are hiring for Vector Databases jobs? Cities near Vancouver, WA with the most Vector Databases job openings:
Vector Databases jobs near you
Senior Software Engineer - Database

Senior Software Engineer - Database

VAST Data

Vancouver, WA • On-site, Remote

$111K - $150K/yr

Full-time

Posted 24 days ago

Job description

Description
VAST Data is looking for a Senior Software Engineer to join our growing team!
This is a great opportunity to join one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence. Take part in the design and implementation of the internals of the next-generation hugely scalable and highly performant analytical and vector database.
"VAST's data management vision is the future of the market."- Forbes
VAST Data is the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, VAST takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless VASTronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our company's growth and at a pivotal point in computing history.
VAST Data is looking for a Senior Backend Software Engineer to help build the engine behind the next generation of scalable, AI-native data infrastructure. In this role, you will focus on the design and development of backend services powering our massively distributed, high-performance combined analytical and vector database, a critical component of VAST's AI data platform.
This is your opportunity to work at the intersection of low-level systems programming, distributed computing, and AI infrastructure-helping us push the boundaries of backend engineering for real-time, petabyte-scale data systems.
What You'll Do
  • Architect and implement core backend components for a distributed vector database using C/C++
  • Design highly scalable distributed data-structures and algorithms optimized for performance, concurrency, and fault tolerance
  • Develop backend services that enable fast search, efficient indexing, and real-time analytics over massive datasets
  • Optimize system performance across multi-threaded and multi-node environments
  • Ensure low-latency, high-throughput data access and manipulation across global deployments
  • Collaborate closely with cross-functional teams to translate backend capabilities into real-world impact

Requirements
What We're Looking For
Must Haves:
  • 5+ years of experience in backend engineering, with strong proficiency in low-level C and C++
  • Hands-on experience designing and building distributed backend systems or infrastructure at scale
  • Experience with distributed data-structures, algorithms and system reliability patterns
  • Expertise in multi-threaded programming, memory management, and performance tuning
  • Proven track record of backend work on high-throughput databases, vector stores, or real-time processing engines
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience

Nice to Haves:
  • Experience building or optimizing analytical or vector databases
  • Familiarity with query engine internals, indexing techniques, or storage layer optimizations
  • Knowledge of Python or Java for integration or tooling
  • Bachelor's, Master's or PhD in a related technical field (distributed systems, backend architecture, database internals)

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