ZipRecruiter

Log In

1

Embedded Ai Jobs (NOW HIRING)

Hp

Embedded AI/ML Developer

Spring, TX

$117K - $154K/yr

Embedded AI/ML Developer Description - The Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP's commercial PC and connected device portfolio.

Polluxa, Inc.

Embedded AI/ML Developer - HP

Spring, TX · On-site

$125 - $150/hr

Description - The Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP's commercial PC and connected device portfolio. This role focuses on ...

Neura Market

$97K - $127K/yr

Cresta is seeking a Embedded AI Expert to join our team and work closely with our customers in a tactical execution role. As an Embedded AI Expert, you will be responsible for configuring and ...

PTR Global

Embedded AI Engineer - Construction

Dallas, TX · On-site

$130K - $171K/yr

Embedded AI Engineer - Construction (Project Management) Location: Fully Remote Compensation: $100k-$105k w/9% bonus Client Is: * Client is building next-generation fiber broadband infrastructure ...

Agile Defense

Sales Engineer, Embedded AI

Mclean, VA · Hybrid

$125K - $155K/yr

Sales Engineer, Embedded AI Location: Hybrid, McLean, VA Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance Agile Labs is the applied-AI division of Agile Defense. We build non ...

Agile Defense

Sales Engineer, Embedded AI

Mclean, VA · On-site

$125K - $155K/yr

Sales Engineer, Embedded AI Location: Hybrid, McLean, VA Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance Agile Labs is the applied-AI division of Agile Defense. We build non ...

Agile Defense

Sales Engineer, Embedded AI

Mclean, VA · On-site

$125K - $155K/yr

Sales Engineer, Embedded AI Location: Hybrid, McLean, VA Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance Agile Labs is the applied‑AI division of Agile Defense. We build ...

Agile Defense

Sales Engineer, Embedded AI

Mclean, VA · Hybrid

$125K - $155K/yr

Sales Engineer, Embedded AI Location: Hybrid, McLean, VA Clearance Level: Top Secret, Must Have Ability to Obtain a Clearance Agile Labs is the applied-AI division of Agile Defense. We build non ...

Deepgram

Embedded AI Engineer, On-Device Models

$219K - $274K/yr

As an Embedded AI Engineer , you will take Deepgram's models and make them run - fast, accurately, and efficiently - on resource-constrained embedded and edge platforms. You'll work across the stack ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

The AI / Embedded ML Engineer will be responsible for the full lifecycle of AI/machine learning on resource-constrained hardware, including data ingestion, model development, optimization, and ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

E-Space is focused on making connectivity from space universally accessible and is seeking an AI / Embedded ML Engineer to work on the full lifecycle of AI/machine learning on resource-constrained ...

E-Space

AI / Embedded ML Engineer

Saratoga, CA · On-site

$145K - $190K/yr

As an AI / Embedded Engineer, you will be responsible for the full lifecycle of AI/ machine learning on resource-constrained hardware. This includes data ingestion, model development, optimization ...

next page

Showing results 1-20

All JobsTechnology JobsEmbedded Ai Jobs

Embedded Ai information

See salary details

$70K

$153.4K

$174K

How much do embedded ai jobs pay per year?

As of Sep 11, 2026, the average yearly pay for embedded ai in the United States is $153,383.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is an embedded AI?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are the key skills and qualifications needed to thrive in the embedded AI position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What are some common challenges faced by embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

More about Embedded Ai jobs

What cities are hiring for Embedded Ai jobs?

Cities with the most 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 Embedded Ai jobs?

States with the most job openings for Embedded Ai jobs include:

What job categories do people searching Embedded Ai jobs look for?

The top searched job categories for Embedded Ai jobs are:

What other helpful pages are available for Embedded Ai?

Other pages related to Embedded Ai:

Embedded Ai jobs near you
Infographic showing various Embedded Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $153,383 per year, or $73.7 per hour.

Embedded AI/ML Developer

Spring, TX • On-site

HP Development Company, L.P.
Construction of Buildings
Learn more about HP Development Company, L.P.external

$117K - $154K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 23 days ago

Job description

Embedded AI/ML Developer
Description -
The Embedded AI/ML Developer will design, develop, and optimize AI-enabled embedded software solutions for HP's commercial PC and connected device portfolio. This role focuses on deploying efficient machine learning models at the edge, integrating AI capabilities with firmware and system software, and enabling intelligent user experiences across resource-constrained platforms.
The engineer will work closely with hardware, firmware, software, and data science teams to translate AI/ML concepts into production-ready embedded implementations. Responsibilities include model optimization, inference runtime integration, performance tuning, debugging, documentation, and staying current with emerging edge AI technologies, tools, and industry best practices.
Responsibilities
  • Designs, develops, and optimizes embedded AI/ML software for edge devices, including PCs, docking solutions, displays, peripherals, and other intelligent client platforms.
  • Converts AI/ML algorithms and proof-of-concept models into efficient, production-quality embedded implementations optimized for latency, memory, power, and compute constraints.
  • Integrates machine learning inference engines, model runtimes, and AI accelerators into embedded firmware and system software environments.
  • Collaborates with cross-functional teams to define AI feature requirements, system architecture, data flow, model deployment strategy, and validation plans.
  • Profiles and tunes embedded AI workloads to improve inference performance, reduce memory footprint, improve responsiveness, and optimize power consumption.
  • Develops and maintains software interfaces between AI/ML components, firmware, device drivers, sensors, embedded controllers, and host applications.
  • Supports model compression, quantization, pruning, benchmarking, and deployment using embedded AI frameworks and hardware acceleration technologies.
  • Troubleshoots complex system-level issues involving AI inference, firmware behavior, sensor data, device communication, and platform integration.
  • Creates and maintains technical documentation, including architecture descriptions, design specifications, model deployment guides, validation procedures, and integration notes.
  • Explores emerging embedded AI, TinyML, NPU, MCU, sensor fusion, and edge inference technologies to help drive innovation across future HP platforms.

Education & Experience Recommended
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Statistics, Mathematics, Artificial Intelligence, Machine Learning, Robotics or a related technical discipline.
  • 7-10 years of relevant experience in embedded software, firmware, AI/ML deployment, edge inference, or system-level software development.

Preferred Certifications
Embedded AI/ML Engineering
  • Hands-on experience deploying AI/ML models on embedded systems, edge devices, MCUs, SoCs, NPUs, DSPs, or other constrained compute platforms.
  • Experience with model optimization techniques such as quantization, pruning, compression, TensorRT, ONNX, TFLite, or similar deployment toolchains.
  • Strong understanding of ML inference pipelines, data preprocessing, sensor input handling, feature extraction, and runtime performance tuning.
  • Experience integrating AI workloads with embedded firmware, device drivers, RTOS, Linux, Windows, or low-level system software environments.
  • Familiarity with AI validation, automated testing, CI/CD pipelines, model benchmarking, and regression testing for embedded platforms.

Embedded Systems and Platform Integration
  • Strong embedded software development experience using C/C++ and Python for prototyping, automation, model conversion, and testing.
  • Experience working with sensors, camera/audio pipelines, telemetry data, wireless modules, or contextual signals used by AI-enabled experiences.
  • Knowledge of embedded communication protocols such as UART, I2C, SPI, USB, PCIe, Bluetooth, Wi-Fi, or other device interconnect standards.
  • Ability to read hardware specifications, device datasheets, schematics, and platform architecture documents to support AI/ML feature integration.

Knowledge & Skills
  • Proficient in C/C++ and Python; familiar with embedded scripting, automation, build systems, and model deployment workflows.
  • Experience with AI/ML frameworks and formats such as PyTorch, TensorFlow, ONNX, TensorFlow Lite, OpenVINO, or similar toolchains.
  • Knowledge of embedded system architecture, boot flow, firmware interfaces, memory constraints, power management, and real-time execution tradeoffs.
  • Skilled in embedded debugging and profiling using JTAG, SWD, logic analyzers, oscilloscopes, performance counters, tracing tools, or vendor-specific debug environments.
  • Experience optimizing AI workloads for latency, throughput, memory footprint, thermal behavior, and battery life on constrained devices.
  • Familiarity with AI accelerator SDKs, NPU/DSP/GPU offload, heterogeneous compute, and hardware/software co-optimization.
  • Understanding of RTOS concepts, Linux/Windows system software, multi-threaded development, secure update mechanisms, and production-quality embedded software practices.
  • Strong analytical and problem-solving skills with the ability to debug complex interactions across model behavior, firmware, drivers, sensors, and host software.
  • Ability to work independently and collaboratively in a cross-functional engineering environment, translating AI concepts into reliable product experiences.

The pay range for this role is $147,050 to $230,850 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job -
Software
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

Apply