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Embedded Ai Engineer Jobs in Riverside, CA (NOW HIRING)

AI Engineer

Santa Ana, CA · On-site

$96K - $115K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

AI Engineer Country United States of America State / County California City Santa Ana Division ... This role will build solutions that are embedded in daily workflows and deliver measurable business ...

AI Manufacturing Engineer

Santa Ana, CA · On-site

$76K - $97K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The AI Engineer is a hands-on, shop-floor engineer who applies AI and data-enabled tools to improve ... are embedded into standard work. Key Responsibilities Plant AI Enablement & Manufacturing ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... As an Embedded Systems Engineer on the Federal Team at Field AI, you will contribute to the ...

Field AI is transforming how robots interact with the real world. We are building risk-aware ... As an Embedded Systems Engineer on the Federal Team at Field AI, you will contribute to the ...

Field AI is transforming how robots interact with the real world. We are building risk‑aware ... Embedded Systems Role As an Embedded Systems Engineer on the Federal Team at Field AI, you will ...

New

Engineer Embedded System Engineering

Irvine, CA · On-site

$77K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As AI scales, so does data. Every interaction, every model, every system generates data that must ... Embedded System Engineer to provide electronics support to firmware, manufacturing, and customer ...

Engineer Embedded System Engineering

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As AI scales, so does data. Every interaction, every model, every system generates data that must ... Embedded System Engineer to provide electronics support to firmware, manufacturing, and customer ...

Engineer Embedded System Engineering

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As AI scales, so does data. Every interaction, every model, every system generates data that must ... Embedded System Engineer to provide electronics support to firmware, manufacturing, and customer ...

... embedded AI features, and integrations using enterprise AI platforms and services. Provide ... Develop AI training, technical enablement, engineering standards, awareness programs, and ...

... embedded AI features, and integrations using enterprise AI platforms and services. Provide ... Develop AI training, technical enablement, engineering standards, awareness programs, and ...

... embedded AI features, and integrations using enterprise AI platforms and services. Provide ... Develop AI training, technical enablement, engineering standards, awareness programs, and ...

Embedded SW Engineer

Irvine, CA · On-site

$141K - $185K/yr

... AI module for use on aircraft. The Engineer will contribute to platform by working at the lowest ... Embedded SW Engineer * Local Skills : Suvadeep Ghosh * Languages Required: : English

Senior Embedded Platform Engineer

Irvine, CA · On-site

$133K - $174K/yr

Our team leverages automation, AI-driven tools, and a fully connected digital backbone to ... We're seeking a Senior Platform/Real-Time Embedded Firmware Engineer with strong low-level embedded ...

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Showing results 1-20

Embedded Ai Engineer information

See Riverside, CA salary details

$73K

$160K

$181.5K

How much do embedded ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for embedded ai engineer in Riverside, CA is $160,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,200.00 and $180,500.00 per year, depending on experience, location, and employer.

What is an embedded AI engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What are the key skills and qualifications needed to thrive as an embedded AI engineer?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an embedded AI engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are popular job titles related to Embedded Ai Engineer jobs in Riverside, CA?

For Embedded Ai Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Embedded Ai Engineer jobs in Riverside, CA look for?

The top searched job categories for Embedded Ai Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Embedded Ai Engineer jobs?

Cities near Riverside, CA with the most Embedded Ai Engineer job openings:

Infographic showing various Embedded Ai Engineer job openings in Riverside, CA as of June 2026, with employment types broken down into 75% Full Time, 9% Part Time, 1% Temporary, and 15% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $160,020 per year, or $76.9 per hour.

$96K - $115K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Precision Castparts rating

8.0

Company rating: 8.0 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

136th of 540 rated manufacturers


Job description

AI Engineer
Country
United States of America
State / County
California
City
Santa Ana
Division
Fasteners
Company
Fasteners Division
Function
Engineering
Workplace Type
On-Site
Position type
Full Time
Opportunity ID
22282
Job Description
The AI Engineer will build and deploy practical AI applications that improve commercial performance-including quoting, pricing, pipeline management, capacity planning, and forecasting.
This role is focused on the front end of the business, partnering directly with Sales, Finance, and Operations leadership to turn data into faster, better decisions. This role will build solutions that are embedded in daily workflows and deliver measurable business outcomes.
Work Mix:
  • 50-60%: Build and maintain AI applications (Databricks-based)
  • 40-50%: Work directly with sales, finance and operations

Core Responsibilities
  • Partner with Sales, Finance, and Operations to identify high-value AI use cases. (e.g. opportunity summaries and next best actions, guided quoting and pricing guardrails, similar deal insights and recommendation engines, pipeline and forecast intelligence dashboards, deal books, forecasting and SIOP inputs, guided quoting and pricing guardrails, market and opportunity summaries, daily sales TOC dashboard)
  • Build and deploy AI-enabled applications using Databricks
  • Integrate data across CRM, CPQ, ERP, and contract systems
  • Embed tools directly into commercial workflows (not standalone dashboards)
  • Lead pilots end-to-end (design test launch sustain)
  • Train users and drive adoption within real business routines
  • Ensure accuracy, governance, and compliance (AS9100 / ITAR / DFARS)
  • Align with Corporate and Division IT on AI standards and controls
  • Report measurable improvements in revenue, margin, and forecast performance

Qualifications
Experience
  • 3-6 years developing complex applications
  • 2+ years of AI experience
  • Experience with CRM and/or CPQ systems strongly preferred
  • Experience supporting commercial or revenue operations is a plus

Technical Skills
  • Required: Databricks (SQL, Delta Tables, Unity Catalog)
  • AI capabilities: LLM APIs, prompt engineering, RAG workflows
  • Strong SQL and Python (or equivalent)
  • Familiarity with APIs, Git, and application deployment

Working Style
  • Strong business translator-turns commercial problems into scalable solutions
  • Effective with:
  • Drives adoption-not just delivery
  • Focused on building tools that are actively used and that deliver P&L results

Work Environment
  • California based - Los Angeles or Orange County
  • ~25% travel for sales engagement, working sessions, and deployments
  • Travel intensity higher during build/launch phases

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
For informational purposes only, the range of pay for this role is $96300 to $115,000 US Dollar (USD) Salaried based on a variety of factors. For informational purposes only, this role is eligible to participate in the Company's Quarterly Cash Bonus Plan, paid out at the quarterly bonus factor of 2X the Company's bonus multiple, based on the Company's performance in the applicable quarter. Employees will receive 120 hours paid time off every year. Employees will also receive 10 paid holidays. Employees (and their families) are eligible to participate in the company's medical, dental, vision, and basic life insurance. Employees are eligible to enroll in the Company's 401(k) plan.
This position requires use of information or access to production processes subject to national security controls under U.S. export control laws and regulations (including, but not limited to the International Traffic in Arms Regulations (ITAR) and the Export Administration Regulations (EAR)). To comply with those regulations, this position may require applicants to be U.S. Persons (i.e., U.S. citizens, U.S. lawful permanent residents, protected individuals as defined by 8 U.S.C. 1324b(a)(3)), or eligible to obtain the required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.
Company Profile
With more than 120 operations and approximately 20,000 employees worldwide, Precision Castparts Corp. is the market leader in manufacturing large, complex structural investment castings, airfoil castings, forged components, aerostructures and highly engineered, critical fasteners for aerospace applications. In addition, we are the leading producer of airfoil castings for the industrial gas turbine market. We also manufacture extruded seamless pipe, fittings, and forgings for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries. With such critical applications, we insist on quality and dependability - not just in the materials and products we make, but in the people we recruit.
PCC is relentless in its dedication to being a high-quality, low-cost and on-time producer; delivering the highest value to its customers while continually pursuing strategic, profitable growth.
In 2016, Berkshire Hathaway, led by Chairman and CEO Warren E. Buffett, acquired Precision Castparts Corp.
Precision Castparts Corp. and its affiliates do not accept unsolicited resumes from search firms or employment agencies. Unsolicited resumes will become the property of Precision Castparts Corp & its affiliates, and no fee will be paid.

What Precision Castparts employees say

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Precision Castparts logo

About Precision Castparts

Sourced by ZipRecruiter

With more than 120 operations and approximately 20,000 employees worldwide, Precision Castparts Corp. is the market leader in manufacturing large, complex structural investment castings, airfoil castings, forged components, aerostructures and highly engineered, critical fasteners for aerospace applications. In addition, we are the leading producer of airfoil castings for the industrial gas turbine market. We also manufacture extruded seamless pipe, fittings, and forgings for power generation and oil & gas applications; commercial and military airframe aerostructures; and metal alloys and other materials for the casting and forging industries. With such critical applications, we insist on quality and dependability - not just in the materials and products we make, but in the people we recruit.

Industry

Fabricated metal product manufacturing

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1953

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