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Ai Optimization Jobs in California (NOW HIRING)

Apple

Content SEO Program Manager

Cupertino, CA

$149K - $280K/yr

You'll drive search-led programs end-to-end - from keyword research and content architecture to AI platform optimization - collaborating closely with Commercial Marketing, Merchandising, Product ...

Apple

Content SEO Program Manager

Cupertino, CA

$149K - $225K/yr

You'll drive search-led programs end-to-end - from keyword research and content architecture to AI platform optimization - collaborating closely with Commercial Marketing, Merchandising, Product ...

Apple

Content SEO Program Manager

Culver City, CA · On-site +1

$112K - $171K/yr

Support AI optimization initiatives by implementing semantic optimizations for assigned areas. Create content briefs and specifications that translate SEO requirements into actionable guidance for ...

Altera Corporation

AI Engineer

San Jose, CA · On-site

$133K - $192K/yr

Learn how AI systems are optimized across CPU / GPU / FPGA * Explore efficient inference and system-level performance tradeoffs Build Platforms, Not Just Features * Develop reusable components for ...

Altera

AI Engineer

San Jose, CA

Learn how AI systems are optimized across CPU / GPU / FPGA * Explore efficient inference and system-level performance tradeoffs Build Platforms, Not Just Features * Develop reusable components for ...

Retell AI

SEO Strategist/Growth SEO Lead

San Francisco, CA · On-site +1

$170K - $230K/yr

ABOUT RETELL AI Retell AI is using first-principles thinking to reimagine the call center with ... Programmatic and product-driven SEO This is a high-ownership role. You won't just optimize pages ...

ServiceNow

Staff FinOps AI Governance Lead

Santa Clara, CA · On-site

$19 - $23/hr

You'll apply your expertise in AI cost management and data-driven optimization to lead programs that bring accountability and control to ServiceNow's AI investments. Working closely with engineering ...

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 ...

New

ServiceNow

Staff FinOps AI Governance Lead

Santa Clara, CA · On-site

$19 - $23/hr

You'll apply your expertise in AI cost management and data-driven optimization to lead programs that bring accountability and control to ServiceNow's AI investments. Working closely with engineering ...

Vagaro

AI Search & SEO Manager

Pleasanton, CA · On-site

$140K - $174K/yr

What you'll Be Doing: We're looking for an AI Search & SEO Manager to own Vagaro's organic search presence and lead our strategy across the rapidly evolving AI search landscape. This is a high-impact ...

ServiceNow

Staff FinOps AI Governance Lead

Santa Clara, CA · On-site

$19 - $23/hr

You'll apply your expertise in AI cost management and data-driven optimization to lead programs that bring accountability and control to ServiceNow's AI investments. Working closely with engineering ...

ServiceNow

Director, SEO & AEO

San Diego, CA · On-site

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 ...

New

ServiceNow

Director, SEO & AEO

San Diego, CA · On-site

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 ...

New

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Ai Optimization information

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 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 popular job titles related to Ai Optimization jobs in California? For Ai Optimization jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Optimization jobs in California look for? The top searched job categories for Ai Optimization jobs in California are:
What cities in California are hiring for Ai Optimization jobs? Cities in California with the most Ai Optimization job openings:
Ai Optimization jobs near you
Infographic showing various Ai Optimization job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

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

Qualcomm

San Diego, CA • On-site

$130K - $171K/yr

Full-time

Re-posted 23 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 242 rated software companies

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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