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Embedded Ai Engineer Jobs in Rancho Cucamonga, CA

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Work alongside a team that stays embedded with customers, so you're never selling something that ...

These include frontend and backend engineers, AI research scientists, and others from Amazon ... Work alongside a team that stays embedded with customers, so you're never selling something that ...

Senior Program Manager

Orange, CA

$123K - $124K/yr

Help drive the adoption of AI-enabled engineering, connected products, and technician productivity ... Embedded FTTM best practices into day-to-day program execution. * Built strong relationships with ...

Senior Program Manager

Orange, CA · On-site

$140 - $190/hr

Help drive the adoption of AI-enabled engineering, connected products, and technician productivity ... Embedded FTTM best practices into day-to-day program execution.Built strong relationships with ...

Showing results 21-25

Embedded Ai Engineer information

See Rancho Cucamonga, CA salary details

$71.5K

$156.7K

$177.8K

How much do embedded ai engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for embedded ai engineer in Rancho Cucamonga, CA is $156,745.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,400.00 and $176,800.00 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 job categories do people searching Embedded Ai Engineer jobs in Rancho Cucamonga, CA look for?

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

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

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

Infographic showing various Embedded Ai Engineer job openings in Rancho Cucamonga, CA as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $156,745 per year, or $75.4 per hour.

Go-to-Market - Anaheim, CA, USA

Speechify

Anaheim, CA • On-site

$150K - $200K/yr

Full-time

Re-posted just now


Job description

Mission
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading - PDFs, books, Google Docs, news articles, websites - into audio, so they can read faster, read more, and remember more. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
About SIMBA Voice Agents by Speechify
SIMBA lets companies deploy natural, human-sounding AI voice agents in 71+ languages with sub-second latency. We don't just hand customers a product and wish them luck - every customer gets a Forward Deployed Engineer who builds their agents, joins their Slack, and iterates with them weekly. We're building the future of voice AI, and we're looking for someone who can sell that vision and help bring it to life
About the Role
As an Account Executive / Go-to-Market, you're equal parts dealmaker and builder. You'll own the full sales cycle for new customers - from first call to close - while also getting hands-on during technical evaluations, demos, and early deployment. You understand that selling voice AI isn't just about pitching features; it's about showing prospects exactly how SIMBA fits into their world and making that first integration feel effortless.
This is a rare role for someone who can command a boardroom and open a terminal.
What You'll Do
  • Own the full sales cycle from prospecting through close for mid-market and enterprise accounts
  • Run technically deep discovery calls to understand customer use cases, tech stack, and integration requirements
  • Build and demo custom voice agent prototypes during the sales process to accelerate buy-in
  • Partner with Forward Deployed Engineers to ensure a seamless handoff from sale to onboarding
  • Develop GTM playbooks, messaging, and outbound strategies to help SIMBA break into new verticals
  • Represent customer needs internally, influencing product roadmap and packaging decisions
  • Maintain a clean pipeline in CRM and accurately forecast revenue

What We're Looking For
  • Ideally 3-8 years of experience in a sales, account executive, or GTM role at a technical B2B company
  • Track record of closing deals with both technical buyers (CTOs, engineers) and business stakeholders
  • Comfortable getting hands-on with APIs and no-code/low-code tools to build compelling demos
  • Strong understanding of the AI/ML or voice technology landscape - you follow this space closely
  • Exceptional communicator who can simplify complex technical concepts without losing their depth
  • Highly self-directed with strong pipeline discipline and a bias toward action

Nice to Have
  • Experience selling AI, voice, or conversational technology
  • Familiarity with telephony infrastructure, contact centers, or customer experience platforms
  • Prior experience in a forward deployment or solutions engineering capacity
  • Multilingual or experience selling into international markets

Why Speechify SIMBA
  • Sell a product that genuinely impresses prospects - sub-second latency and 71+ languages speaks for itself
  • High ownership role with direct input on GTM strategy and positioning
  • Work alongside a team that stays embedded with customers, so you're never selling something that doesn't deliver
  • Competitive base + commission, equity, and benefits
  • Fast-moving startup environment where your wins have outsized impact

The United States Salary range for this role is - $105,000-$140,000 base salary. On-target earnings of $150,000-$200,000.
Think you're a good fit for this job?
Tell us more about yourself and why you're interested in the role when you apply.
And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit?
Refer them!
Speechify is committed to a diverse and inclusive workplace.
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.