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Embedded Ai Engineer Jobs in Colorado (NOW HIRING)

Boom Supersonic

Software Engineer, Embedded

Centennial, CO · On-site

$120K - $165K/yr

... AI. Overture will fly at twice the speed of today's subsonic jets over water and 50% faster over ... Work with propulsion, test, and avionics engineers to define, refine, and validate embedded system ...

Trimble

Embedded Software Engineer

Westminster, CO · On-site

$122K - $168K/yr

Bonus Points For * Demonstrated interest in exploring the application of AI within firmware ... Firmware Engineer, GNSS, Embedded Systems, C++, Python, RTOS, Agriculture, Precision Positioning ...

Protingent

Sr Embedded Software Engineer

Louisville, CO · On-site

$156K - $215K/yr

Position Title: Sr Embedded Software Engineer Position Description: Protingent Staffing has an ... AI, Clean Tech, Medical Devices, and Connected Technologies. We're passionate about making a ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Colorado

Embedded Ai Engineer information

See Colorado salary details

$73.6K

$161.3K

$183K

How much do embedded ai engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for embedded ai engineer in Colorado is $161,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,300.00 and $181,900.00 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 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 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 are popular job titles related to Embedded Ai Engineer jobs in Colorado? For Embedded Ai Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Colorado look for? The top searched job categories for Embedded Ai Engineer jobs in Colorado are:
What cities in Colorado are hiring for Embedded Ai Engineer jobs? Cities in Colorado with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Software Engineer, Embedded

Software Engineer, Embedded

Boom Supersonic

Centennial, CO • On-site

$120K - $165K/yr

Full-time

PTO

Posted 11 days ago

Job description

Boom Supersonic's mission is to make the world dramatically more accessible through a renaissance in supersonic flight. Boom is developing the Symphony supersonic engine, which powers the Overture supersonic airliner and the Superpower natural gas turbine for AI. Overture will fly at twice the speed of today's subsonic jets over water and 50% faster over land with Boomless Cruise.
Help Supersonic Software Take Flight
Building Symphony requires custom software across the stack-including the real-time control software that governs the entire engine.
This role is your entry point into that world. You'll be hands-on with the software that interfaces with sensors, actuators, and critical flight systems-ensuring Symphony runs smoothly and safely from light-off to cruise. Over time, this role will grow into developing FADEC: the full-authority digital engine control system at the heart of next-generation propulsion.
If you love real-time challenges, working closely with hardware, and building bulletproof code in a fast-moving environment, this role is for you.
Role Overview
  • Develop embedded jet engine control software that governs engine operation and signals across tightly coupled subsystems.
  • Work with propulsion, test, and avionics engineers to define, refine, and validate embedded system requirements.
  • Build and test software for real-time execution on safety-critical targets, including hardware-in-the-loop (HIL) systems.
  • Establish strong software engineering practices including version control, unit testing, and automated testing and deployment for embedded systems.
  • Help design the future embedded software architecture, with increasing scope and ownership as the company's programs grow.
  • Support simulation and test campaigns by integrating control software with engine models and testbed instrumentation.
  • Own the full lifecycle of your code-from prototype to flight-ready.

The Ideal Candidate
  • Real-time or embedded systems development experience especially in Rust, C, or C++ for safety-critical applications.
  • Professional software engineering background: familiar with structured requirements, source control, automated tests, and deployment workflows.
  • Proficient with Linux, real-time operating systems (e.g., VxWorks, FreeRTOS, QNX, or RTEMS), or bare-metal development.
  • Curious and collaborative: you enjoy learning how complex machines work and building tools that make them better.
  • Comfortable operating in fast-paced, high-stakes environments where iteration and quality go hand-in-hand.
  • Demonstrates a strong work ethic and ambition, complemented by effective collaboration skills in a team setting.
  • Excels in a high-energy, independent, and challenging work environment.

What Will Set You Apart
  • Experience developing embedded systems for aerospace, automotive, or robotics, including familiarity with DO-178C or other safety-critical standards.
  • Experience building real-time software for control loops, signal-processing logic, instrumentation, simulation or actuator command software.
  • Experience with model-based design and simulation tools (e.g., MATLAB/Simulink) or static analysis tools for safety-critical code quality (e.g., MISRA compliance, Coverity, or Polyspace).
  • History of navigating cross-discipline technical problems-across software, electrical, and mechanical systems.
  • A passion for flight, engines, and building things that push the boundaries of speed and precision.ion.

Compensation
The Base Salary Range for this position is $120,000 - $165,000 per year. Actual salaries will vary based on factors including but not limited to location, experience, and performance. The range listed is just one component of Boom's total rewards package for employees. Other rewards may include long term incentives/equity, a flexible PTO policy, and many other progressive benefits.
There is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.
ITAR Requirement
To conform to U.S. Government aerospace technology export regulations (ITAR and EAR), applicant must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about ITAR here.
Boom is an equal opportunity employer and we value diversity. All employment is decided on the basis of qualifications, merit and business need.
Want to build a faster future? Come join Boom.

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