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Embedded Machine Learning Jobs in Pittsburgh, PA

Curtiss-Wright

Tactical Operations Engineer

Cheswick, PA · On-site

$76K - $110K/yr

Conceive, plan, and design systems or processes; integrate hardware/software, embedded systems, or ... machining solutions for the United States Navy and the commercial nuclear utility industry. #LI-CM1 ...

Curtisswright

Tactical Operations Engineer

Cheswick, PA

$76K - $110K/yr

Conceive, plan, and design systems or processes; integrate hardware/software, embedded systems, or ... machining solutions for the United States Navy and the commercial nuclear utility industry. #LI-CM1 ...

Curtisswright

Tactical Operations Engineer

Pittsburgh, PA

$76K - $110K/yr

Conceive, plan, and design systems or processes; integrate hardware/software, embedded systems, or ... machining solutions for the United States Navy and the commercial nuclear utility industry. #LI-CM1 ...

Curtiss-Wright

Tactical Operations Engineer

Cheswick, PA · On-site

$76K - $110K/yr

Conceive, plan, and design systems or processes; integrate hardware/software, embedded systems, or ... machining solutions for the United States Navy and the commercial nuclear utility industry. #LI-CM1 ...

Curtiss-Wright

Tactical Operations Engineer

Cheswick, PA · On-site

$76K - $110K/yr

Conceive, plan, and design systems or processes; integrate hardware/software, embedded systems, or ... machining solutions for the United States Navy and the commercial nuclear utility industry. #LI-CM1 ...

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Showing results 41-60

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Jobs in Pittsburgh, PA

Embedded Machine Learning information

See Pittsburgh, PA salary details

$68K

$148.9K

$168.9K

How much do embedded machine learning jobs pay per year?

As of Aug 20, 2026, the average yearly pay for embedded machine learning in Pittsburgh, PA is $148,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,700.00 and $168,000.00 per year, depending on experience, location, and employer.

What is an embedded machine learning?

An Embedded Machine Learning job involves developing and optimizing machine learning models to run efficiently on resource-constrained devices like microcontrollers, edge devices, and IoT hardware. Professionals in this role work on model compression, low-power inference, and real-time processing, ensuring AI capabilities can function without relying on cloud computing. Responsibilities often include data preprocessing, feature extraction, model training, and deployment on embedded systems using frameworks like TensorFlow Lite or Edge Impulse.

What are the key skills and qualifications needed to thrive in embedded machine learning?

To thrive in Embedded Machine Learning, you should have expertise in machine learning algorithms, embedded systems programming (e.g., C/C++, Python), and a solid understanding of hardware-software integration, typically backed by a degree in computer engineering, electrical engineering, or a related field. Familiarity with edge AI tools (such as TensorFlow Lite, ONNX, or Edge Impulse), microcontrollers, and real-time operating systems is highly valued, alongside relevant certifications such as Embedded Systems or AI certificates. Strong problem-solving skills, effective communication, and the ability to work cross-functionally are crucial soft skills in this field. These qualifications and qualities are vital for creating efficient, reliable AI solutions that operate seamlessly within resource-constrained environments and interdisciplinary project teams.

What are some common challenges faced by professionals working in embedded machine learning roles?

Professionals in embedded machine learning roles often face the challenge of optimizing machine learning models to run efficiently on resource-constrained hardware, such as microcontrollers or edge devices with limited memory and processing power. Balancing model accuracy, inference speed, and energy consumption can require creative problem-solving and deep knowledge of both hardware and software. Additionally, collaboration with hardware engineers, data scientists, and software developers is key, as projects typically require cross-functional teamwork to meet performance and deployment goals. Staying current with rapidly evolving tools and best practices is also important in this dynamic field.

What are the most commonly searched types of Embedded Machine Learning jobs in Pittsburgh, PA?

The most popular types of Embedded Machine Learning jobs in Pittsburgh, PA are:

What are popular job titles related to Embedded Machine Learning jobs in Pittsburgh, PA?

For Embedded Machine Learning jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning jobs in Pittsburgh, PA look for?

The top searched job categories for Embedded Machine Learning jobs in Pittsburgh, PA are:

Embedded Machine Learning jobs near you
Infographic showing various Embedded Machine Learning job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 21% Internship, and 79% Full Time. Highlights an 100% In-person job distribution, with an average salary of $148,907 per year, or $71.6 per hour.

Principal Engineer, Team Lead - Behaviors

Motional

Pittsburgh, PA • On-site

$240K - $330K/yr

Full-time

Re-posted 11 days ago

Job description

On our Behaviors team (Prediction and ML Planner), you will have the opportunity to work with world-class ML engineers, whose mission is to make self-driving vehicles a reality and to create a positive social impact. The Behaviors team develops ML models that learn how different agents navigate complex real-world traffic scenarios. We leverage these models to set the behavior of our self-driving vehicle, and predict the behavior of other agents such as vehicles and vulnerable road users.

We are looking for proven leaders and technical experts who are passionate about Level 4 autonomous driving technology, excited by intellectual challenges, and interested in pursuing career growth with a fast-growing company.

What You'll Be Doing:
  • Define and execute motion planning and prediction projects that improve our self-driving vehicles' capability to safely, comfortably and legally navigate complex traffic scenarios
  • Lead, manage and grow a team of engineers
  • Design and lead the implementation of behavior models that leverage the latest advancements in machine learning, generative AI and reinforcement learning
  • Productionize and deploy solutions onto autonomous vehicle fleets
  • Collaborate with perception, simulation, data platform and integration teams to validate and enhance your products' on-road performance
  • Communicate strategies, progress and challenges to executive leadership
What We're Looking for:
  • Masters or Ph.D. in Computer Science or a related technical field; or equivalent industry experience
  • Proven leadership skills at executing large, complex technical initiatives
  • Extensive experience managing and leading engineers
  • Experience with deep learning frameworks such as TensorFlow or PyTorch
  • Fluency in Python, including standard scientific computing libraries
  • Proven track record of designing, developing and deploying ML solutions for autonomous vehicles or robotics
  • Advanced knowledge of software engineering principles including software design, source control management, build processes, code reviews, testing methods
  • Excellent communication and interpersonal skills
Bonus Points:
  • Experience with embedded systems and real-time optimization, especially in the autonomous driving industry
  • Experience with state of the art generative AI, and/or reinforcement learning, paradigms
  • Proven track record of publications in relevant conferences (CVPR, ICML, NeurIPS, ICCV, ICL, etc.)
  • Strong programming skills in C++ and/or CUDA programming

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$240,000—$330,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.