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Artificial Intelligence Engineer Fpga Jobs (NOW HIRING)

MarketOnce

Artificial Intelligence Engineer

Denver, CO · On-site

$140K - $175K/yr

We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Overview How You'll Make an Impact As an AI Engineer, you will play a critical role in building and ... MS degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (or ...

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 ...

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 ...

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 ...

CreditOne

Lead Artificial Intelligence Engineer

Las Vegas, NV · On-site

$99K - $130K/yr

Description Position Summary The Lead Artificial Intelligence Engineer develops and produces AI and machine learning solutions supporting banking and credit card businesses. This role focuses on ...

Insperity

Artificial Intelligence Engineer III

Madison, WI

$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 ...

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Showing results 21-40

All JobsArtificial Intelligence Engineer Fpga Jobs

Artificial Intelligence Engineer Fpga information

See salary details

$85K

$147.3K

$198.5K

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

As of Aug 16, 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 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.

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 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.
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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 92% Full Time, 2% Part Time, and 6% 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

MarketOnce

Denver, CO • On-site

$140K - $175K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

Job description

At MarketOnce, we empower businesses with the insights and strategies they need to excel in today's dynamic market. With a strong foundation in market research, we offer innovative solutions in research, software, consulting, advertising, and marketing to corporate, private equity firms, and other organizations seeking to achieve their goals.
Our team is distinguished by their client-centric approach-treating each client's business with the dedication and care as if it were their own. This commitment enables us to deliver personalized service and achieve the highest standards of success and innovation in everything we do. Together, our family of companies, including MarketOnce, ROI Rocket, and eAccountable, work towards delivering unparalleled solutions. Headquartered in Denver, Colorado, our global team collaborates from locations across the US and Europe.
We value curiosity, creativity, collaboration, and expertise, continuously striving to push boundaries and exceed our clients' expectations. Join us to be part of a culture that drives meaningful results.
About the Opportunity:
We are seeking an experienced Artificial Intelligence Engineer who specializes in delivering end-to-end AI solutions using Agentic AI frameworks and Generative AI technologies. This role demands consultative skills, technical expertise, and the ability to identify impactful use cases and articulate business benefits while implementing scalable AI solutions.
What You'll Do:
  • Design and implement Agentic AI architectures for enterprise workflows
  • Integrate Generative AI capabilities (LLMs, multimodal models) into solutions
  • Deliver end-to-end AI solutions from ideation to production deployment
  • Design prompt templates and implement retrieval strategies to increase answer precision and factuality
  • Assist in creating data pipelines for training and testing, including annotation and evaluation tooling
  • Collaborate with product managers to translate user requirements into technical features
  • Participate in error analysis, iterative model improvement, and performance tuning
  • Document code and workflows clearly; follow best practices for reproducibility and code quality
  • Engage with clients to identify high-value AI use cases and define business benefits
  • Conduct workshops and assessments to align AI strategies with organizational goals
  • Provide thought leadership on AI adoption and emerging trends
  • Develop reusable frameworks and accelerators for Agentic AI and GenAI
  • Ensure compliance with AI ethics, security, and governance standards
  • Stay ahead of industry developments in Agentic AI, autonomous agents, and LLM ecosystems
  • Orchestrate complex multi-agent workflows to handle tasks requiring planning, reasoning, and tool use

What We're Looking For:
  • Strong experience in Agentic AI frameworks Claude, OpenAI
  • Hands-on expertise with Generative AI (LLMs, prompt engineering, fine-tuning)
  • Proficiency in Python and familiarity with deep learning/NLP libraries
  • Experience with building retrieval-augmented generation pipelines
  • Knowledge of vector databases or semantic search concepts
  • Familiarity with cloud AI platforms ( Azure OpenAI)
  • Knowledge of MLOps practices and deployment pipelines
  • Ability to articulate the business value of AI solutions and drive client conversations
  • Experience building custom solutions and plugins using Claude
  • Experience implementing RAG using Azure AI Search (vector, semantic, and hybrid search) and OneLake/Microsoft Fabric

What We Offer:
  • Competitive base salary: $140,000-$175,000/year
  • Flexible vacation policy - take the time you need to recharge
  • Comprehensive health, vision & dental insurance
  • 401k with company contribution
  • Beautiful downtown Denver office with company-paid commuter benefits (parking or RTD EcoPass)
  • Opportunity for career progression with plenty of room for personal growth

What to Expect:
  • 1st Round: 30-45 minute interview with the Recruiter
  • 2nd Round: 45-minute interview with the Hiring Manager
  • 3rd Round: 2 hours of onsite interviews with the Hiring Team

Please note that we are fully onsite work environment, and require daily presence at our LoDo/Union Station office. We are not considering remote, hybrid, or out-of-area candidates, and do not work with outside recruiting agencies.
MarketOnce will accept applications for this role on an ongoing basis.
MarketOnce is an Equal Opportunity Employer. We believe in creating a diverse and inclusive workplace where everyone has the opportunity to thrive. We are committed to hiring individuals based on their skills and qualifications, regardless of race, gender, age, sexual orientation, disability, or any other characteristic. We welcome and encourage applications from all backgrounds.

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