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Vector Jobs (NOW HIRING)

Legend Biotech USA, Inc.

Legend Biotech is seeking a Global Viral Vector MSAT Lead as part of the Global Manufacturing & Supply team based in Raritan, NJ. Role OverviewThe Senior Manager, MSAT - Viral Vector Lead for global ...

Actian Corporation

Vector Database Senior Sales Engineer

$108K - $147K/yr

Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases as they emerge), RAG architectures, and LangChain integrations, combined with broad experience in ...

Elasticsearch B.V.

WI · On-site

$180 - $260/hr

This is a principal software engineering role that focuses on enhancing the vector similarity search functionality within Elasticsearch, covering the design and implementation of new vector search ...

Actian Corporation

Vector Database Senior Sales Engineer

OR · On-site +1

$105K - $143K/yr

Candidate brings deep expertise in vector databases (Milvus, Qdrant, and other vectorized databases as they emerge), RAG architectures, and LangChain integrations, combined with broad experience in ...

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Vector information

See salary details

$25.5K

$84.1K

$174K

How much do vector jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vector in the United States is $84,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $111,000.00 per year, depending on experience, location, and employer.

What is a vector?

In the context of jobs, 'vector' is most commonly used in fields such as mathematics, physics, computer science, and data analysis to refer to a quantity with both magnitude and direction, or a data structure that holds a sequence of values. For example, in computer programming, a vector is a type of dynamic array used to store and manipulate data efficiently. In other fields like biology, a vector might refer to an organism that transmits pathogens. The specific meaning of 'vector' depends on the industry and job role, so it's important to clarify the context when you encounter this term in a job description.

What are some common challenges faced by professionals working in vector graphics design roles?

Professionals in vector graphics design often encounter the challenge of balancing creative vision with technical limitations, such as file compatibility and scalability across platforms. Collaborating closely with developers, marketers, and other designers is common to ensure consistency and usability of graphics in various media. Additionally, keeping up with evolving design software and trends is essential to remain competitive and efficient in this fast-paced field.

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

To thrive as a Vector Control Specialist, you need knowledge of entomology, environmental science, and public health, often supported by a relevant science degree or certification in pest management. Familiarity with GIS mapping, pesticide application equipment, and regulatory reporting systems is typically required. Strong analytical skills, attention to detail, and effective communication are crucial soft skills in this role. These competencies are vital for accurately identifying vector threats, implementing control measures, and ensuring community health and safety.

What is the difference between Vector vs Data Analyst?

AspectVectorData Analyst
Required CredentialsBachelor's degree in computer science, data science, or related field; knowledge of programming languages like Python or RBachelor's degree in statistics, mathematics, or related field; proficiency in data visualization and analysis tools
Work EnvironmentTech companies, data-driven industries, often in collaborative teamsBusiness, finance, healthcare sectors; working with large datasets and reporting
Employer & Industry UsageUsed in tech, AI, and data science companies for machine learning and data processingCommon in corporate, consulting, and research settings for interpreting data trends

While both Vector and Data Analyst roles involve working with data, Vector typically focuses on data processing, machine learning, and programming, whereas Data Analysts concentrate on interpreting data, creating reports, and supporting business decisions. The roles often overlap in skills but differ in primary responsibilities and industry focus.

More about Vector jobs

What cities are hiring for Vector jobs?

Cities with the most Vector job openings:

What are the most commonly searched types of Vector jobs?

The most popular types of Vector jobs are:

What states have the most Vector jobs?

States with the most job openings for Vector jobs include:

What job categories do people searching Vector jobs look for?

The top searched job categories for Vector jobs are:

Vector jobs near you
Infographic showing various Vector job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 6% Hybrid, and 25% Remote job distribution, with an average salary of $84,058 per year, or $40.4 per hour.

Senior Software Engineer, Vector Index Research

Zilliz

Redwood City, CA • On-site

$175K - $250K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago

Job description

Zilliz is a fast-growing startup developing the industry's leading vector database for enterprise-grade AI. Founded by the engineers behind Milvus, the world's most popular open-source vector database, the company builds next-generation database technologies to help organizations quickly create AI applications. On a mission to democratize AI, Zilliz is committed to simplifying data management for AI applications and making vector databases accessible to every organization.


The Vector Index team focuses on building the core vector retrieval capabilities behind Milvus, Zilliz Cloud, and Vector Lakebase. We work on making similarity search over massive embedding datasets faster, more accurate, and more cost-efficient, while continuously advancing ANN algorithms, index structures, quantization, compression, recall optimization, CPU/GPU acceleration, and high-performance retrieval frameworks.

This role sits at the intersection of research and engineering. You will read papers, evaluate new algorithms, build prototypes, and turn promising ideas into production-grade vector indexing and retrieval systems. We are looking for engineers who enjoy research, but also have strong engineering fundamentals, performance optimization skills, and engineering taste.

What you'll do:
  • Research, evaluate, and implement new vector indexing and retrieval algorithms for Milvus, Zilliz Cloud, and Vector Lakebase
  • Read papers and track emerging work in vector search, ANN algorithms, index structures, quantization, compression, reranking, GPU acceleration, and AI retrieval systems
  • Build high-performance vector indexing components, including index building, query paths, vector preprocessing, quantization, compression, memory layout, and CPU/GPU acceleration
  • Optimize vector retrieval performance across latency, throughput, recall, memory usage, index build time, and cost efficiency
  • Design benchmarks and evaluation frameworks to compare algorithms and implementations under real data scale, real query patterns, and real AI workloads
  • Debug and solve complex performance issues across algorithm implementation, CPU/GPU execution, SIMD/vectorization, memory access, concurrency, and I/O
  • Turn research prototypes into maintainable, testable, and evolvable production-grade indexing capabilities
  • Use AI tools across the research and engineering workflow, including paper analysis, prototype generation, code implementation, testing, benchmarking, documentation, and performance analysis
What we're looking for:
  • 3+ years of experience in vector search, ANN algorithms, search systems, high-performance computing, or performance-critical systems
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience
  • Strong C++ or Rust programming ability and solid engineering fundamentals
  • Experience with vector similarity search, ANN algorithms, index structures, quantization, compression, reranking, or high-performance retrieval systems is a strong plus
  • Strong interest in research-driven engineering: reading papers, evaluating tradeoffs, building prototypes, and turning ideas into production systems
  • Experience with performance optimization and systematic debugging is a strong plus, especially around CPU/GPU execution, SIMD, memory layout, concurrency, I/O, or large-scale data processing
  • Interest in using AI tools to improve research, coding, testing, benchmarking, documentation, and performance analysis
How we operate:
  • Research-driven, production-focused: We track frontier algorithms, but care most about whether they work under real data scale, real query patterns, and real production constraints
  • Extreme performance: We care about every memory access, every query path, and every tradeoff between recall and latency
  • AI-first engineering: We actively use AI to accelerate paper reading, prototyping, coding, testing, documentation, and performance analysis, but human judgment and engineering taste still matter most
  • Fast and pragmatic: We work on hard vector indexing and retrieval problems, but we ship them into Milvus, Zilliz Cloud, and Vector Lakebase
  • Open source by default: Milvus is a core part of our engineering culture, and strong indexing capabilities should stand up to public design, code, and community usage
Benefits:
  • Competitive compensation (cash + equity)
  • Regular bonus and equity refresh opportunities
  • Medical, dental, and vision insurance
  • Paid time off, including vacation, sick leave, and global reset/wellbeing days
  • Generous 401(k) and regional retirement plans
$175,000 - $250,000 a year

Zilliz is an Equal Opportunity Employer and welcomes people from all backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment regardless of race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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