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Ai Optimization Jobs in Encinitas, CA (NOW HIRING)

ServiceNow

Director, SEO & AEO

San Diego, CA

Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform ... In this role, you will own the SEO and AEO strategy, lead a talented team, and establish the ...

ServiceNow

Director, SEO & AEO

San Diego, CA · On-site +1

Join us to put AI to work for people. ServiceNow's Digital Experience organization is seeking a strategic and decisive Director of SEO and AI-Optimized Search (AEO) to build and lead a world-class ...

ServiceNow

Director, SEO & AEO

San Diego, CA

Join us to put AI to work for people. ServiceNow's Digital Experience organization is seeking a strategic and decisive Director of SEO and AI-Optimized Search (AEO) to build and lead a world-class ...

Qualcomm

AI Model Optimization Architect

San Diego, CA · On-site

They are seeking a Staff Engineer - AI Model Optimization Architect to lead model transformation and optimization efforts for various AI models on Qualcomm's inference accelerators. Responsibilities ...

Qualcomm

AI Model Optimization Architect

San Diego, CA · On-site

We are seeking a Staff Engineer - AI Model Optimization Architect to lead end-to-end model transformation and optimization for LLMs, VLMs, diffusion, and multimodal models on Qualcomm inference ...

Mindgruve

SEO Manager

San Diego, CA · On-site +1

$7.5K - $85K/mo

Create and adapt SEO narratives and tactics to the AI landscape, ensuring future-forward SEO, not just the SEO playbooks of yesterday We Need a Person With: * Bachelor's degree in marketing ...

Red Door Interactive

Sr SEO Specialist

San Diego, CA · On-site +1

Not just content briefs and optimization notes, but the actual copy -- web pages, long-form ... Genuine curiosity about where search is going -- AI, evolving algorithms, new content formats ...

Red Door Interactive

Sr SEO Specialist

San Diego, CA · On-site +1

Not just content briefs and optimization notes, but the actual copy - web pages, long-form articles ... Genuine curiosity about where search is going - AI, evolving algorithms, new content formats - and ...

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All JobsAi Optimization JobsAi Optimization Jobs in Encinitas, CA

Ai Optimization information

See Encinitas, CA salary details

$43

$64

$87

How much do ai optimization jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ai optimization in Encinitas, CA is $64.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $78.99 per hour, depending on experience, location, and employer.

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Encinitas, CA?

For Ai Optimization jobs in Encinitas, CA, the most frequently searched job titles are:

What cities near Encinitas, CA are hiring for Ai Optimization jobs?

Cities near Encinitas, CA with the most Ai Optimization job openings:

Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in Encinitas, CA as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $133,259 per year, or $64.1 per hour.

Sr Software Engineer, AI Tools - On-Device Generative AI Model Optimization

San Diego, CA • On-site

Qualcomm
Technology, Communication and Media • 10K+ employees

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

49th of 246 rated software companies

Good employer

Paid breaks

Respectful managers

Learn more about Qualcommexternal

$130K - $171K/yr

Full-time

Re-posted 9 days ago

Job description

Company:
Qualcomm Technologies, Inc.
Job Area:
Engineering Group, Engineering Group > Machine Learning Engineering
General Summary:
As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation AI experiences and drive agentic transformation, creating a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will develop and implement cutting-edge tools and solutions to enable state-of-the-art AI solutions across various technology verticals.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
This role is open to both San Diego, CA and Raleigh, NC and will be onsite full-time.
Minimum Qualifications:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field.
What You'll Do
Model Reauthoring & Architecture Adaptation
  • Reauthor generative AI architectures for efficient execution on Qualcomm AI hardware. This covers LLMs (Llama, Phi, Qwen) and multimodal models (vision-language, speech, diffusion), including custom attention, normalization, positional embedding, and modality-specific components.
  • Translate hardware execution constraints - operator support, memory layout, dispatch behavior - into model-level transformations. These transformations need to preserve accuracy while enabling efficient on-device execution.
  • Build clean extension points so internal teams and external contributors can onboard new architectures without changing core pipeline code.
Inference Optimization for Edge Hardware
  • Integrate inference acceleration techniques into the model preparation pipeline. This includes memory-efficient attention, decode acceleration, and serving-time optimizations.
  • Translate end-customer deployment constraints - target SoC, context length, latency budget, memory envelope - into concrete model preparation strategies.
Custom Model & OEM Enablement
  • Work with research teams to develop reauthoring strategies for custom OEM models and customer-specific use cases. Take research prototypes and turn them into production deployments.
Cross-Functional Collaboration
  • Partner with compiler teams to understand on-target constraints. Decide on the right response: a graph-level optimization or model-level reauthoring.
  • Partner with quantization engineers so architectural decisions compose cleanly with the quantization stack.
Pipeline & Tooling
  • Contribute reauthoring and adaptation stages to a multi-stage model preparation pipeline. Build developer-facing diagnostics that give clear, actionable feedback when models fail to lower or run efficiently.

Minimum Qualifications
  • Experience in ML systems, model optimization, or inference engineering. Proficient in Python in large, typed codebases.
  • Strong written and verbal communication. Comfortable operating across AI compiler, AI research, and partner-facing teams.
Preferred Qualifications
  • Deep implementation-level knowledge of generative AI architectures across LLMs and multimodal models
  • Demonstrated experience optimizing inference for edge or resource-constrained deployments, with measurable latency or memory wins to point to.
  • Strong PyTorch internals knowledge - module customization, export flows, tracing. Familiarity with the HuggingFace transformers ecosystem.
  • Familiarity with on-device runtimes and SoC-level constraints (memory bandwidth, compute precision, NPU/DSP execution). Exposure to QAIRT/QNN, ONNXRuntime, LiteRT-LLM or similar is a plus.
  • Working understanding of how quantization interacts with model architecture decisions, even if you're not a quantization specialist.
  • Experience using agentic coding tools such as GitHub Copilot, Cursor, Claude Code, Codeium, or similar AI-assisted development tools to improve coding productivity and problem-solving

Level of Responsibility
  • Works independently on open-ended optimization challenges. Provides technical guidance and mentorship to teammates.
  • Decisions have broad impact on model accuracy, on-device performance, and the developer experience of teams using the preparation pipeline.
  • Communicates complex model architecture and inference optimization concepts to a range of audiences: hardware engineers, research scientists, compiler engineers, OEM partners, and external developers.
  • Has meaningful influence on the generative AI optimization roadmap, supported model strategy, and cross-team integration priorities.

Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.
Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
Pay range and Other Compensation & Benefits:
$140,800.00 - $211,200.00
The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer - and you can review more details about our US benefits at this link.
If you would like more information about this role, please contact Qualcomm Careers.
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About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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