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Artificial Intelligence Engineer Fpga Jobs (NOW HIRING)

Elio

Artificial Intelligence Engineer

San Mateo, CA · On-site

$139K - $183K/yr

You will serve as the software engineering leader within the AI team, establishing best practices for code quality, architecture, testing, and deployment while working closely with AI researchers to ...

Jobzhr

Artificial Intelligence Engineer

Alameda, CA · On-site

$137.76 - $165.31/hr

AI Capability Engineering & Operations * Operationalize reusable AI capabilities: * Prompt, tool, and agent orchestration frameworks * Evaluation, monitoring, and observability pipelines * Enable ...

New

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

CYNET SYSTEMS

Artificial Intelligence Engineer

Reston, VA · On-site

$59 - $77/hr

Understanding of engineering and construction workflows is a plus. * Strong problem-solving, communication, and collaboration skills. Responsibilities: * Design, build, and implement AI/ML models for ...

Covestro

Senior Artificial Intelligence Engineer

Baytown, TX · Hybrid

$95K - $130K/yr

The Senior Artificial Intelligence (AI) Engineer designs, develops, and deploys artificial intelligence solutions across the organization. This role bridges the gap between theoretical AI/ML models ...

Insperity

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

We are seeking an Artificial Intelligence Engineer III to join our team Summary: This position is responsible for designing, delivering, and owning complex, production grade artificial intelligence ...

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Conducts data analysis, preprocessing, training, testing, validating and feature engineering to extract valuable insights from large datasets, improving model performance and accuracy. * Stays ...

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All JobsArtificial Intelligence Engineer Fpga Jobs

Artificial Intelligence Engineer Fpga information

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$85K

$147.3K

$198.5K

How much do artificial intelligence engineer fpga jobs pay per year?

As of Sep 2, 2026, the average yearly pay for artificial intelligence engineer fpga in the United States is $147,315.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is an artificial intelligence engineer FPGA?

Artificial Intelligence Engineer FPGA roles involve designing, implementing, and optimizing AI algorithms to run efficiently on Field Programmable Gate Arrays (FPGAs). These engineers bridge the gap between hardware and software by developing custom hardware accelerators for AI tasks such as machine learning inference and computer vision. Their responsibilities often include hardware description language (HDL) programming, optimizing data pipelines, and collaborating with AI researchers to translate models into hardware implementations. This role is essential in industries where high-speed processing with low power consumption is critical, such as autonomous vehicles, robotics, and telecommunications.

What are the key skills and qualifications needed to thrive as an artificial intelligence engineer FPGA?

To excel as an Artificial Intelligence Engineer specializing in FPGA, you need a solid background in computer engineering, digital design, and AI/ML algorithms, often with a degree in electrical engineering or computer science. Proficiency in FPGA development tools (such as Xilinx Vivado or Intel Quartus), HDL languages (VHDL/Verilog), and frameworks like TensorFlow or PyTorch is essential. Strong problem-solving skills, attention to detail, and effective teamwork are vital soft skills for this role. Mastery of these skills ensures efficient deployment of AI models on hardware, high-performance solutions, and successful collaboration across multidisciplinary teams.

What are some common challenges faced when deploying AI models on FPGA platforms as an artificial intelligence engineer?

One of the main challenges in this role is optimizing AI models to fit within the limited resources and parallel architecture of FPGAs, which often requires extensive knowledge of both hardware and software design. Additionally, ensuring low latency and high throughput while maintaining model accuracy can be complex, especially when working with large or sophisticated neural networks. Collaboration with hardware engineers and data scientists is also essential to balance performance trade-offs and efficiently translate algorithms into deployable FPGA solutions.

What is the difference between Artificial Intelligence Engineer Fpga vs Machine Learning Engineer?

AspectArtificial Intelligence Engineer FpgaMachine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Engineering, Electrical Engineering, or related fields; FPGA design certificationsBachelor's or Master's in Computer Science, Data Science, or related fields; ML certifications
Work EnvironmentDesigning and implementing AI algorithms on FPGA hardware, often in embedded systems or hardware accelerationDeveloping, testing, and deploying ML models primarily in software environments
Industry UsageHardware-focused AI applications in telecommunications, automotive, and embedded systemsSoftware-focused AI applications in tech, finance, healthcare, and more

While both roles involve AI, the Artificial Intelligence Engineer Fpga specializes in hardware acceleration using FPGA chips, whereas the Machine Learning Engineer focuses on developing ML models primarily in software. The FPGA role requires hardware design skills, while the ML engineer emphasizes software development and data analysis.

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Artificial Intelligence Engineer Fpga jobs near you
Infographic showing various Artificial Intelligence Engineer Fpga job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $147,315 per year, or $70.8 per hour.

Artificial Intelligence Engineer

Elio

San Mateo, CA • On-site

$139K - $183K/yr

Other

Medical, Dental, Vision

Posted 4 days ago

Job description

About Elio

Elio is building next-generation sensing systems that combine advanced optics and AI to transform light into structured, actionable information. Our platform uses real-time machine learning to extract rich physical signals beyond traditional imaging, enabling deeper insight and better decision making. While our first applications are in biology and drug discovery, the technology is designed to extend across industries for example robotics, semiconductors and more, where understanding complex physical environments is critical.


About the Role

We are seeking an experienced and highly motivated Senior AI Engineer to join Elio's AI and Data Science team. In this role, you will bridge cutting-edge AI research with high-quality software engineering, ensuring that research innovations are transformed into reliable, scalable, and production-ready systems. You will serve as the software engineering leader within the AI team, establishing best practices for code quality, architecture, testing, and deployment while working closely with AI researchers to accelerate the development of Elio's adaptive sensing platform. This is a full-time on-site position based in our San Mateo office.


Responsibilities

  • Lead the software engineering efforts within the AI and Data Science team.
  • Design, develop, and maintain production-quality AI infrastructure, libraries, and services.
  • Collaborate closely with AI researchers to transform research prototypes into scalable, maintainable, and reusable software.
  • Define and promote software engineering best practices, including code reviews, testing, documentation, version control, CI/CD, and coding standards.
  • Build robust data processing, model training, evaluation, and deployment pipelines.
  • Optimize AI systems for performance, scalability, reliability, and maintainability.
  • Partner with software, infrastructure, and product teams to integrate AI capabilities into Elio's platform.
  • Mentor team members on software engineering principles and contribute to a strong engineering culture.
  • Evaluate and introduce modern AI development tools, frameworks, and infrastructure that improve team productivity.


Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 7+ years of professional software engineering experience, including significant experience developing AI or machine learning systems.
  • Strong software engineering fundamentals, including system architecture, object-oriented design, testing, debugging, and performance optimization.
  • Expert-level Python programming skills and experience with PyTorch and modern machine learning frameworks.
  • Experience with cloud platforms, preferably AWS.
  • Strong understanding of software development lifecycle, CI/CD, automated testing, and DevOps practices.
  • Excellent communication and collaboration skills with the ability to work effectively alongside AI researchers and cross-functional engineering teams.


Our ideal candidate loves working in a fast paced startup environment, has the urge to solve problems and is eager to learn and grow with the company. If you believe you are that kind of person - Elio is looking for you!


Benefits

Elio offers a fast-paced, creative, and inspiring environment with talented teammates, competitive salary and benefits package including medical, dental & vision.

Chance to make a significant impact in the field of advanced sensing and AI

Apply