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Embedded Ai Engineer Jobs in Pennsylvania (NOW HIRING)

The Pennsylvania State University

$92K - $174K/yr

Microcontroller programming and lowlevel embedded development * Linux experience * Scripting with ... Use of AI or LLMassisted workflows to improve software development efficiency, code quality, or ...

Alstom

VIE - AI Engineer (m/f)

Pittsburgh, PA · On-site

... As a AI Engineer with Alstom you are responsible for ensuring the quality, reliability and ... Experience working with multiple operating systems, especially embedded systems (Linux, real-time ...

Alstom

VIE - AI Engineer (m/f)

Pittsburgh, PA · On-site

... As a AI Engineer with Alstom you are responsible for ensuring the quality, reliability and ... Experience working with multiple operating systems, especially embedded systems (Linux, real-time ...

Alstom

VIE - AI Engineer (m/f)

Pittsburgh, PA · On-site

... As a AI Engineer with Alstom you are responsible for ensuring the quality, reliability and ... Experience working with multiple operating systems, especially embedded systems (Linux, real-time ...

Polluxa, Inc.

$100 - $125/hr

... software optimization, and AI-enabled edge computing platforms. Essential Duties and ... software, embedded Linux, firmware, systems programming, or related disciplines. * Strong ...

New

Eaton

IT AI Senior Specialist

Coraopolis, PA · On-site

$130K - $190K/yr

Pod operating on a healthy CI/CD, IaC, and SLO discipline, with published engineering standards adopted across both build pods. Vendor and embedded AI telemetry ingested from ServiceNow, MuleSoft ...

FORT Robotics

Embedded Software Engineer II

Pittsburgh, PA · On-site

$125K - $150K/yr

... AI capabilities. While autonomous machines offer significant advantages, they also introduce new ... As an Embedded Software Engineer II, you will own specific components of our embedded stack ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Pennsylvania

Embedded Ai Engineer information

See Pennsylvania salary details

$70.2K

$153.8K

$174.4K

How much do embedded ai engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for embedded ai engineer in Pennsylvania is $153,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $173,400.00 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 are popular job titles related to Embedded Ai Engineer jobs in Pennsylvania?

For Embedded Ai Engineer jobs in Pennsylvania, the most frequently searched job titles are:

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

The top searched job categories for Embedded Ai Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Embedded Ai Engineer jobs?

Cities in Pennsylvania with the most Embedded Ai Engineer job openings:

Embedded Ai Engineer jobs near you
Infographic showing various Embedded Ai Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 74% Full Time, and 26% Contract. Highlights an 46% In-person, and 54% Remote job distribution, with an average salary of $153,752 per year, or $73.9 per hour.

Staff Systems Engineer, Embedded Safety & Architecture

Pittsburgh, PA • On-site

Waabi
See more jobs at Waabiexternal

$160K - $260K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 6 days ago

Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Waabi builds generative AI for the physical world, starting with autonomous trucks. The intelligence only ships if the system underneath it is safe by design - and that safety has to be carried all the way down, from the vehicle-level safety concept into the embedded platform's requirements, architecture, and interfaces.
As a Systems Engineer on our Embedded Systems team, you'll own that translation. Our overarching systems and safety group defines the vehicle-level safety concept - the hazard analysis, the safety goals, the functional safety concept. You'll be their embedded counterpart: taking that concept and decomposing it into an embedded architecture and technical safety requirements that our electrical engineering and embedded software groups can build against. You'll live on the left side of the ISO 26262 V at the embedded level, turning a functional safety concept into technical requirements and a hardware/software architecture the whole team can trust - and you'll be the person who keeps the embedded org fluent in the wider world of automotive standards.
You Will...
  • Partner with the systems and safety group. Take the vehicle-level safety concept, safety goals, and functional safety requirements as your inputs, and feed embedded expertise back into their hazard analysis and concept work. You're the bridge between their concept and our hardware and firmware.
  • Own the embedded technical safety concept. Derive technical safety requirements from the functional safety concept allocated to the embedded system, and allocate each to the right architectural element.
  • Architect across hardware and software. Define the embedded system architecture and the hardware/software partition, including the hardware-software interface (HSI), so both groups design against one coherent picture.
  • Manage requirements and traceability. Maintain bidirectional traceability from the safety goals handed down to you all the way to hardware and software requirements, and keep the work products that feed the safety case.
  • Steward automotive standards for the embedded org. Stay current on the standards that apply to our work - functional safety, SOTIF, cybersecurity, autonomous-product safety, process and component qualification - and fold them into how the embedded team designs, documents, and works day to day.
  • Set up the right side of the V. Your requirements and architecture define what verification and validation later prove. You'll partner closely with the V&V effort - and support Development Interface Agreements (DIAs) with OEM partners and suppliers - without owning the downstream test execution yourself.

Qualifications
  • BS/MS in Electrical Engineering, Computer Engineering, Systems Engineering, or a related field - or equivalent hands-on experience.
  • 8+ years in embedded systems, with real depth spanning both hardware and software.
  • Strong ISO 26262 experience concentrated on the system-design phase (Part 4) and its handoffs to hardware (Part 5) and software (Part 6): deriving technical safety requirements from a functional safety concept, system architectural design, and hardware/software allocation.
  • Working familiarity with the broader automotive standards landscape - and the judgment to operationalize it - including SOTIF (ISO 21448), automotive cybersecurity (ISO/SAE 21434), autonomous-product safety cases (UL 4600), Automotive SPICE (ASPICE), and component/coding standards such as AEC-Q10.
  • Fluency with requirements management and traceability - you've lived in a tool like Polarion and know why traceability matters when the safety case is questioned.
  • Enough range to read a schematic and reason about embedded C/C++/Rust, so your hardware/software partitioning is grounded in what each side can actually implement.
  • A clear grasp of the full V, so the left-side work you produce genuinely sets the right side up to succeed.

Nice-to-haves
  • Experience standing up or maturing a standard (ASPICE, 21434, or similar) inside an engineering org, not just complying with one.
  • SysML or model-based systems engineering.
  • AV, ADAS, or other complex safety-critical domain experience.
  • Direct experience authoring or negotiating DIAs with an OEM.

The US yearly salary range for this role is: $160,000 - $260,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
  • Competitive compensation and equity awards.
  • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
  • Unlimited Vacation.
  • Flexible hours and Work from Home support.
  • Daily drinks, snacks and catered meals (when in office).
  • Regularly scheduled team building activities and social events both on-site, off-site & virtually.
  • As we grow, this list continues to evolve!

Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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