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Embedded Ai Engineer Jobs in Phoenix, AZ (NOW HIRING)

Quora

AI Automation Engineer -Remote

Phoenix, AZ · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Chandler, AZ · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Scottsdale, AZ · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Glendale, AZ · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Quora

AI Automation Engineer -Remote

Mesa, AZ · On-site +1

$202.38K - $234.20K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... This is a unique opportunity to shape how LLMs become embedded in our daily operations. Your goal ...

Deloitte

Lead Forward Deployed Engineer - AWS

Tempe, AZ

$98.20K - $129.30K/yr

At Deloitte, Lead Forward Deployed Engineers (LFDE) don't just build AI solutions, they help ... embedded directly with our most strategic clients, leading forward-deployed engineering pods that ...

Deloitte

Lead Forward Deployed Engineer - Snowflake

Tempe, AZ

$98.20K - $129.30K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded ...

Deloitte

Lead Forward Deployed Engineer - Palantir

Tempe, AZ

$98.20K - $129.30K/yr

At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn ... Work you'll do As a Lead Palantir FDE, you will serve as the senior practitioner-leader embedded ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Phoenix, AZ

Embedded Ai Engineer information

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$69.5K

$152.3K

$172.8K

How much do embedded ai engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for embedded ai engineer in Phoenix, AZ is $152,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,600.00 and $171,800.00 per year, depending on experience, location, and employer.

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

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 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 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 Phoenix, AZ? For Embedded Ai Engineer jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Phoenix, AZ look for? The top searched job categories for Embedded Ai Engineer jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Embedded Ai Engineer jobs? Cities near Phoenix, AZ with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Embedded Software Engineer (cleared)

Embedded Software Engineer (cleared)

General Dynamics Mission Systems, Inc

Scottsdale, AZ • On-site

$118.52K - $131.48K/yr

Full-time

Medical, Retirement

Posted 29 days ago

General Dynamics Mission Systems rating

8.2

Company rating: 8.2 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

76th of 184 rated software companies

Job description

Basic Qualifications
EDUCATION REQUIREMENTS: Requires a Bachelor's degree in Software Engineering, or a related Science, Engineering, Technology or Mathematics field. Also requires 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience. Agile experience preferred.
CLEARANCE REQUIREMENTS: Department of Defense Secret security clearance is required at time of hire. Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information. Due to the nature of work performed within our facilities, U.S. citizenship is required.
Responsibilities for this Position
ROLE AND POSITION OBJECTIVES:
As a software engineer for Secure Voice Products, you'll be a member of a cross functional team responsible for developing security software for cutting-edge secure voice products.
We encourage you to apply if you have any of these preferred skills or experiences: software design, development and test.
What sets you apart:
  • C/C++
  • Development on Linux environment
  • Team development using a shared repository (preferably Git)
  • Rust
  • Embedded development
  • Low level development (devices drivers, boot)
  • Agile development
  • SELinux experience (policies)
  • CI pipelines/CI testing
  • Scripting experience (python/perl)
  • Static analysis
  • Ability to follow software development process
  • Expertise in applying technical standards and methodologies to solve challenges in creative ways
  • Commitment to ongoing professional development
  • Identifies opportunities to apply AI for continuous improvement and innovation.

Our Commitment to You:
  • An exciting career path with opportunities for continuous learning and development.
  • Research oriented work, alongside award winning teams developing practical solutions for our nation's security
  • Flexible schedules with every other Friday off work, if desired (9/80 schedule)
  • Competitive benefits, including 401k matching, flex time off, paid parental leave, healthcare benefits, health & wellness programs, employee resource and social groups, and more
  • See more at gdmissionsystems.com/careers/why-work-for-us/benefits

Workplace Options:
This position is fully on-site in Scottsdale, AZ.
#CJ3
#LI-JH1
Salary Note
This estimate represents the typical salary range for this position based on experience and other factors (geographic location, etc.). Actual pay may vary. This job posting will remain open until the position is filled.
Combined Salary Range
USD $118,519.00 - USD $131,482.00 /Yr.
Company Overview
General Dynamics Mission Systems (GDMS) engineers a diverse portfolio of high technology solutions, products and services that enable customers to successfully execute missions across all domains of operation. With a global team of 12,000+ top professionals, we partner with the best in industry to expand the bounds of innovation in the defense and scientific arenas. Given the nature of our work and who we are, we value trust, honesty, alignment and transparency. We offer highly competitive benefits and pride ourselves in being a great place to work with a shared sense of purpose. You will also enjoy a flexible work environment where contributions are recognized and rewarded. If who we are and what we do resonates with you, we invite you to join our high-performance team!
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

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