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Senior Embedded Ai Jobs (NOW HIRING)

Embedded AI Architect

Peoria, IL · On-site

$169K/yr

We are looking for a senior embedded AI architect with hands-on experience on NVIDIA edge computing platforms to support the design and deployment of machine safety and operator detection systems on ...

Senior Embedded Software Engineer

Boston, MA · On-site

$140K - $160K/yr

As a Senior Embedded Software Engineer on the TVision Meter Platform team, you will help define the ... Working at the intersection of embedded hardware, edge AI, computer vision, and Linux systems, you ...

New

Senior Embedded Software Engineer

Boston, MA · On-site

$140K - $160K/yr

As a Senior Embedded Software Engineer on the TVision Meter Platform team, you will help define the ... Working at the intersection of embedded hardware, edge AI, computer vision, and Linux systems, you ...

New

This role is a great fit whether you're a hands-on senior embedded engineer who wants to go deep on a hard problem, or a staff-level technical leader who wants to define how Deepgram's voice AI gets ...

New

Senior Embedded Software Engineer

Austin, TX · Hybrid

$122K - $161K/yr

As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and ... end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Senior Embedded Software Engineer

Austin, TX · On-site

$122K - $161K/yr

As a Senior Embedded Software Engineer, you will play a key role in designing, developing, and ... end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a ...

Senior Embedded SW Engineer

Boston, MA · On-site

$110K - $151K/yr

Senior Embedded Software Engineer The Analog Garage is ADI's internal innovation lab, empowering ... Familiarity with AI/ML edge inference frameworks, quantization, and deployment. * Basic knowledge ...

Senior Embedded Engineer

San Francisco, CA

$146K - $191K/yr

... AI, designed for today's global logistics network. We're a fast-moving, close-knit team of AV ... Position Overview As an Embedded Engineer, you will develop safety-critical, real-time firmware for ...

Senior Embedded Software Engineer The Analog Garage is ADI's internal innovation lab, empowering ... Familiarity with AI/ML edge inference frameworks, quantization, and deployment. * Basic knowledge ...

Kapta Space is seeking a Senior Embedded Firmware Engineer to lead the complete lifecycle ... We may use artificial intelligence (AI) tools to assist our recruitment team but do not replace ...

Kapta Space is seeking a Senior Embedded Firmware Engineer to lead the complete lifecycle ... We may use artificial intelligence (AI) tools to assist our recruitment team but do not replace ...

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 ...

Senior Embedded Firmware Engineer

Seattle, WA · On-site

$117K - $160K/yr

Kapta Space is seeking a Senior Embedded Firmware Engineer to lead the complete lifecycle ... We may use artificial intelligence (AI) tools to assist our recruitment team but do not replace ...

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Senior Embedded Ai information

See salary details

$75.5K

$144.8K

$193.5K

How much do senior embedded ai jobs pay per year?

As of Jul 11, 2026, the average yearly pay for senior embedded ai in the United States is $144,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,000.00 and $162,500.00 per year, depending on experience, location, and employer.

What is a Senior Embedded AI Engineer?

A Senior Embedded AI Engineer is a specialized professional who designs, develops, and implements artificial intelligence algorithms on embedded systems, such as microcontrollers and edge devices. They work at the intersection of hardware and software, optimizing AI models for performance, efficiency, and low power consumption. Their responsibilities often include collaborating with hardware engineers, integrating AI solutions into products, and ensuring real-time processing capabilities. Senior roles typically require deep expertise in both AI frameworks and embedded system architectures, as well as experience leading technical projects.

What is the difference between Senior Embedded Ai vs Embedded Software Engineer?

AspectSenior Embedded AiEmbedded Software Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; experience in AI/MLBachelor's in Computer Science, Electrical Engineering, or related; programming skills in C/C++
Work EnvironmentResearch labs, AI-focused teams, product development in IoT, roboticsEmbedded systems development in consumer electronics, automotive, industrial devices
Employer & Industry UsageTech companies, startups, automotive, roboticsElectronics manufacturers, automotive, consumer device companies

While both roles involve embedded systems, Senior Embedded Ai focuses on integrating AI/ML capabilities into embedded devices, requiring knowledge of AI frameworks. Embedded Software Engineers develop the core software for embedded hardware, often with less emphasis on AI. The senior role typically demands more experience and specialized skills in AI integration.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior embedded AI engineer or director, that offers a total compensation package including salary, bonuses, and stock options. These roles often require advanced skills in machine learning, embedded systems, and experience with AI frameworks, and are usually found in leading tech companies or innovative startups. Such compensation reflects the high demand for expertise in AI development and deployment at the senior level.

What engineer makes $500,000 a year?

Senior Embedded AI engineers with extensive experience, specialized skills in machine learning and hardware integration, and working in high-demand industries can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and stock options. Such compensation typically requires advanced certifications, leadership roles, and working in competitive tech environments.

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

To thrive as a Senior Embedded AI Engineer, you need strong expertise in embedded systems, machine learning algorithms, and proficiency in programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with hardware platforms (such as ARM or FPGA), real-time operating systems (RTOS), and AI frameworks (like TensorFlow Lite or ONNX) is typically required. Exceptional problem-solving, teamwork, and communication skills help you collaborate effectively and drive innovation in multidisciplinary environments. These skills are crucial for developing efficient, reliable AI solutions that operate seamlessly on resource-constrained devices.

What are some common challenges faced by Senior Embedded AI engineers when integrating AI models into resource-constrained devices?

Senior Embedded AI engineers often encounter challenges such as optimizing AI models to run efficiently on devices with limited memory, processing power, and battery life. Balancing model accuracy with computational constraints requires creative problem-solving, such as model quantization, pruning, or leveraging hardware accelerators. Additionally, ensuring real-time performance and maintaining robust security for on-device inference are key concerns. Close collaboration with hardware, firmware, and software teams is essential to successfully deploy and maintain AI solutions on embedded systems.

What is the highest paying AI job?

Senior Embedded AI engineers often earn some of the highest salaries in AI, especially when working on specialized hardware, real-time systems, or in industries like automotive or aerospace. Compensation can reach six figures or higher, particularly with advanced skills in machine learning, embedded systems, and relevant tools like FPGA or DSP development. Experience, certifications, and working in high-demand sectors influence salary levels significantly.

Will AI replace embedded developers?

Embedded AI involves integrating artificial intelligence into embedded systems, and senior embedded AI developers design and implement these solutions. While AI automation tools can assist with coding and testing, the role requires specialized knowledge of hardware constraints, real-time processing, and embedded environments, making complete replacement unlikely in the near term. Instead, the role is expected to evolve with a focus on developing and maintaining AI-enabled embedded systems.
More about Senior Embedded Ai jobs
What cities are hiring for Senior Embedded Ai jobs? Cities with the most Senior Embedded Ai job openings:
What are the most commonly searched types of Embedded Ai jobs? The most popular types of Embedded Ai jobs are:
What states have the most Senior Embedded Ai jobs? States with the most job openings for Senior Embedded Ai jobs include:
Infographic showing various Senior Embedded Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $144,773 per year, or $69.6 per hour.

Embedded AI Architect

Mantu

Peoria, IL • On-site

$169K/yr

Other

Posted 10 days ago


Job description

We are looking for a senior embedded AI architect with hands-on experience on NVIDIA edge computing platforms to support the design and deployment of machine safety and operator detection systems on heavy industrial equipment.


Responsibilities:

  • Define and document the embedded AI architecture for NVIDIA Orin NX and Thor IGX platforms across multiple product lines
  • Translate high-level commercial requirements into hardware/software architecture blueprints
  • Evaluate performance vs. cost trade-offs across platform tiers (ECM, Orin NX, Thor IGX)
  • Collaborate with product, safety, and integration teams to align architecture with production timelines
  • Support feature set definition and roadmap planning for aftermarket-to-autonomy upgrade paths
  • Present architecture proposals to senior stakeholders and VP-level leadership


Profile Requirement

  • 5+ years in embedded systems architecture, preferably in industrial, automotive, or heavy equipment environments
  • Hands-on experience with NVIDIA Jetson / Orin NX / Thor IGX platforms
  • Strong understanding of object detection, segmentation, and perception pipelines on edge hardware
  • Familiarity with hardware/software integration constraints in safety-critical environments
  • Experience working within cost-driven, requirements-based engineering organizations
  • Ability to operate in ambiguous, fast-moving programs with accelerated delivery timelines
  • 4 days on site in peoria