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Artificial Intelligence Engineer Fpga Jobs (NOW HIRING)

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 ...

KLA Corporation

Artificial Intelligence Engineer

Milpitas, CA · On-site

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Orbotech

Artificial Intelligence Engineer

Milpitas, CA

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

Aires

Artificial Intelligence Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

  • Retirement

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

KLA Corporation

Artificial Intelligence Engineer

Milpitas, CA

$140K - $238K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices.

aires

Artificial Intelligence Engineer

Pittsburgh, PA · Hybrid

$111K - $133K/yr

  • Retirement

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

Shield AI

Staff Engineer, FPGA Design (R5347)

Dallas, TX · On-site

$150K - $230K/yr

We are seeking a highly motivated FPGA Design Engineer with experience developing high-performance ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Actalent

Fpga Engineer

Irvine, CA

$80 - $110/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Job Title: FPGA Engineer The FPGA Engineer will lead the architecture, development, and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Shield AI

Staff Engineer, FPGA Design (R5347)

Dallas, TX

$150K - $230K/yr

We are seeking a highly motivated FPGA Design Engineer with experience developing high-performance ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

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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 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.

Lead Artificial Intelligence Engineer

Credit One Bank

Las Vegas, NV • On-site

$99K - $130K/yr

Full-time

Re-posted 19 days ago

Job description

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 building scalable, explainable, and compliant AI models for fraud detection, credit risk, customer analytics, and operational intelligence.

Essential Job Functions
  • Develop, train, and optimize ML, deep learning, and Generative AI models.
  • Implement data pipelines, feature engineering, and model inference services.
  • Deploy and monitor models using enterprise MLOps practices.
  • Support model explainability, bias analysis, and regulatory documentation.
  • Collaborate with data engineers, risk, and compliance teams.
Position RequirementsCore AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures
  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)
  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)
  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks
Preferred
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 3–7 years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.
 
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.  
 

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