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Vector Jobs in Riverside, CA (NOW HIRING)

Apple

PHY RTL Design Engineer

Irvine, CA · On-site

$122K - $214K/yr

Familiarity with power estimation (vector-less and vector-based), modeling, profiling, and post-silicon power correlation. Solid understanding of wireless standards, such as IEEE 802.11, 802.15 ...

Apple

PHY RTL Design Engineer

Irvine, CA · On-site

$122K - $214K/yr

Familiarity with power estimation (vector-less and vector-based), modeling, profiling, and post-silicon power correlation. Solid understanding of wireless standards, such as IEEE 802.11, 802.15 ...

Apple

PHY RTL Design Engineer

Irvine, CA · On-site

$122K - $214K/yr

Familiarity with power estimation (vector-less and vector-based), modeling, profiling, and post-silicon power correlation. Solid understanding of wireless standards, such as IEEE 802.11, 802.15 ...

Apple

RFIC Test Engineer

Irvine, CA · On-site

$175K - $308K/yr

Solid understanding of RF test equipment (network analyzer, spectrum analyzer, vector signal analyzer, vector signal generator, etc.). Good knowledge of RF, PLL, and general wireless systems ...

Apple

RFIC Test Engineer

Irvine, CA · On-site

$175K - $308K/yr

Solid understanding of RF test equipment (network analyzer, spectrum analyzer, vector signal analyzer, vector signal generator, etc.). Good knowledge of RF, PLL, and general wireless systems ...

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Showing results 41-60

All JobsVector JobsVector Jobs in Riverside, CA

Vector information

See Riverside, CA salary details

$25.7K

$84.8K

$175.6K

How much do vector jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vector in Riverside, CA is $84,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,942.00 and $112,013.00 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.

What are popular job titles related to Vector jobs in Riverside, CA?

For Vector jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Vector jobs in Riverside, CA look for?

The top searched job categories for Vector jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Vector jobs?

Cities near Riverside, CA with the most Vector job openings:

Vector jobs near you
Infographic showing various Vector job openings in Riverside, CA as of August 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 68% Physical, 6% Hybrid, and 26% Remote job distribution, with an average salary of $84,825 per year, or $40.8 per hour.

Sr. Director, Enterprise Artificial Intelligence

International Executive Service Corps

Lake Forest, CA • On-site

$200 - $300/hr

Other

Posted 25 days ago

Job description

MAIN JOB RESPONSIBILITIES / COMPETENCIES

The Director, Enterprise Artificial Intelligence is responsible for leading the Company's enterprise Artificial Intelligence (AI) strategy and driving business transformation through the adoption of AI-enabled capabilities across the organization. This role partners closely with Executive Leadership, Manufacturing, Supply Chain, Engineering, Quality Assurance, Regulatory Affairs, Commercial Operations, Finance, Human Resources, Cybersecurity, Infrastructure, and Information Technology to identify, prioritize, and implement Artificial Intelligence solutions that improve operational efficiency, decision making, customer experience, innovation, and long-term competitive advantage.

This position provides strategic leadership for enterprise AI governance, Responsible AI, Generative AI, Agentic AI, Machine Learning, Intelligent Automation, and enterprise knowledge management while ensuring AI initiatives deliver measurable business value, align with corporate objectives, and support secure, scalable, and sustainable business transformation.

  • 1.Lead and execute the Company's enterprise Artificial Intelligence strategy aligned with corporate objectives, digital transformation initiatives, and measurable business outcomes.
  • 2.Establish and operationalize an Enterprise AI Center of Excellence (AI CoE) responsible for governance, standards, reusable AI capabilities, and enterprise adoption.
  • 3.Drive enterprise business transformation through the application of Artificial Intelligence, Generative AI, Agentic AI, Machine Learning, Predictive Analytics, and Intelligent Automation.
  • 4.Partner with executive leadership and business stakeholders to identify and prioritize AI initiatives that improve operational efficiency, product quality, customer experience, revenue growth, and employee productivity.
  • 5.Develop enterprise AI roadmaps, investment strategies, business cases, and value realization plans.
  • 6.Establish Responsible AI governance, AI policies, model lifecycle management, and AI risk management practices.
  • 7.Lead implementation of RAG, semantic search, vector databases, AI assistants, and enterprise knowledge management.
  • 8.Integrate AI with Oracle Fusion ERP, OCI, OIC, Salesforce, MES, PLM, enterprise data platforms, and cloud-native applications.
  • 9.Establish KPIs and executive dashboards measuring AI adoption and business value.
  • 10.Lead organizational change management and enterprise AI adoption.
  • 11.Recruit and mentor a team of AI/Business Engineers, Data Engineer/architects and AI Product Owner.
  • 12.Evaluate emerging AI technologies and strategic technology partnerships.
  • 13.Foster innovation, continuous improvement, and responsible AI adoption.
  • 14.Other duties as assigned.
REQUIREMENTS EDUCATION & TRAINING
  • Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Information Technology, Business Administration, or related discipline required or equivalent combination of education/experience.
  • Advanced degree preferred.
  • Professional certifications in AI, Cloud Computing, Enterprise Architecture, Cybersecurity, Project Management, or Data Analytics are highly desirable.
EXPERIENCE
  • 12+ years of progressive leadership experience in enterprise technology, digital transformation, Artificial Intelligence, data analytics, enterprise architecture, software engineering, or related disciplines.
  • 3+ years leading enterprise digital AI transformation organizations.
  • Demonstrated success developing enterprise AI strategies delivering measurable business transformation.
  • Experience with Generative AI, LLMs, Agentic AI, RAG, Machine Learning, Predictive Analytics, and Intelligent Automation.
  • Experience in integrating AI with ERP, CRM, Supply Chain, Manufacturing, Finance, HR, and enterprise platforms.
  • Experience presenting AI strategies and business outcomes to executive leadership and Boards.
  • Enterprise AI governance, organizational change management, and global business transformation.
  • FDA-regulated medical devices, biotechnology, pharmaceutical, life sciences, or other regulated industries preferred.
SKILLS
  • Strong knowledge of enterprise Artificial Intelligence strategy, governance, operating models, enterprise architecture, and business transformation methodologies, including the development of AI roadmaps, investment strategies, Centers of Excellence, and enterprise adoption frameworks.
  • Deep understanding of Generative AI, Large Language Models (LLMs), Agentic AI, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration frameworks, semantic search, vector databases, AI assistants, autonomous agents, and intelligent automation technologies.
  • Strong understanding of Machine Learning, Predictive Analytics, Natural Language Processing (NLP), Computer Vision, AI model lifecycle management, model evaluation, MLOps, LLMOps, and enterprise AI platform operations.
  • Strong knowledge of enterprise cloud platforms including Oracle Cloud Infrastructure (OCI), Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP), cloud-native architectures, APIs, microservices, enterprise integration, event-driven architectures, and hybrid cloud environments.
  • Deep understanding of enterprise data architecture, data governance, master data management, metadata management, data quality, knowledge management, vector storage, and enterprise information management principles supporting AI-enabled decision making.
  • Strong understanding of Responsible AI principles, AI governance, cybersecurity, privacy, regulatory compliance, intellectual property protection, model transparency, explainability, AI ethics, enterprise risk management, and secure AI deployment practices.
  • Demonstrated ability to align Artificial Intelligence investments with corporate strategy by developing business cases, value realization frameworks, key performance indicators (KPIs), executive dashboards, and measurable financial and operational outcomes.
  • Ability to partner effectively with Executive Leadership, Information Technology, Manufacturing, Engineering, Supply Chain, Quality Assurance, Regulatory Affairs, Finance, Human Resources, Cybersecurity, Legal, and external technology partners to deliver enterprise-wide AI capabilities.
  • Excellent analytical, strategic planning, organizational, communication, executive presentation, negotiation, financial management, vendor management, stakeholder engagement, and organizational change management skills.
  • Demonstrated leadership building, mentoring, and scaling high-performing multidisciplinary teams consisting of AI Engineers, Data Scientists, Machine Learning Engineers, AI Solution Architects, Enterprise Architects, Product Managers, and business technology professionals.
  • Proven ability to lead enterprise modernization initiatives, drive innovation, establish AI governance, manage organizational change, and deliver measurable business transformation while maintaining secure, scalable, and responsible AI practices.

Pay range: $200K - $300K - Final compensation/salary will depend on experience.

STAAR Surgical is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran or disability status, or any other characteristic protected by law #USA

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