Advanced Micro Devices, Inc

AI Applications Engineer

Advanced Micro Devices, Inc$110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, or related fields.
  • Experience in AI/ML engineering or related technical fields.
  • Hands-on experience with training and fine-tuning open-source AI models.
  • Strong understanding of machine learning fundamentals and optimization techniques.
  • Proficiency in Python or C/C++ and Linux development environments.

Responsibilities

  • Develop and utilize AI-assisted workflows for FPGA and SoC reference designs.
  • Apply AI tools to enhance engineering productivity in design and verification.
  • Optimize open-source AI models for embedded and security-focused applications.
  • Implement AI inference solutions on hardware, focusing on performance and efficiency.
  • Research innovative solutions for securing AI infrastructure in enterprises.
  • Contribute to communities focused on AI, embedded computing, and security technologies.
  • Create technical content and benchmarks to guide product strategy.

Benefits

  • Hybrid work environment with flexibility.
  • Opportunities for continuous learning and professional development.
  • Participation in industry conferences and cross-functional collaboration.
Full Job Description
THE ROLE:

We are seeking an AI Applications Engineer to join AMD's Wired and Wireless Business Team within the Adaptive and Embedded Computing Group (AECG). This early-career role offers the opportunity to develop deep expertise at the intersection of artificial intelligence, FPGA/SoC design, embedded systems, and AI infrastructure security.

In this role, you will leverage AI technologies to accelerate the development, verification, and optimization of FPGA-based reference designs using AMD Vivado™ and Vitis™ tool flows. You will also contribute to strategic initiatives focused on AI infrastructure security, customization of open-source AI models, and efficient deployment of AI inference workloads across FPGA SoCs, NPUs, and GPUs in wired and wireless communications environments.

THE PERSON:

The ideal candidate is passionate about applying AI to real-world engineering challenges and eager to expand their expertise across hardware and software domains. You bring a strong technical foundation in AI/ML, programming, and mathematical modeling, combined with a collaborative mindset and a willingness to learn emerging technologies.

You thrive in a fast-paced, innovative environment and embody AMD's culture of technical excellence, continuous learning, teamwork, humility, and inclusion.

KEY RESPONSIBILITIES:
  • Develop and utilize AI-assisted workflows to accelerate the creation, validation, and optimization of FPGA and SoC reference designs.
  • Apply AI tools and techniques to improve engineering productivity throughout design and verification processes.
  • Fine-tune, evaluate, and optimize open-source AI models for embedded, edge, and security-focused applications.
  • Implement and optimize AI inference solutions on FPGA SoCs, NPUs, and GPUs, balancing performance, latency, power consumption, and resource utilization.
  • Research and prototype innovative solutions for securing AI infrastructure deployments in enterprise environments.
  • Contribute to industry and open-source communities focused on AI, embedded computing, and security technologies.
  • Generate technical content, benchmarks, proof-of-concepts, and recommendations that support product strategy and long-term technology roadmaps.
  • Collaborate with engineering, product management, field teams, and customers through technical presentations and knowledge-sharing initiatives.


PREFERRED EXPERIENCE:
  • Experience in AI/ML engineering, applied research, software productivity initiatives, or related technical fields.
  • Hands-on experience with training, fine-tuning, quantization, and evaluation of open-source AI models.
  • Strong understanding of machine learning fundamentals, neural networks, optimization techniques, probability, and statistics.
  • Proficiency in Python or C/C++, Linux development environments, and Git-based version control.
  • Familiarity with FPGA design methodologies, RTL development (Verilog/VHDL), High-Level Synthesis (HLS), or embedded systems development.
  • Exposure to edge AI deployment, AI model optimization, AI infrastructure security, or hardware-accelerated computing is a plus.
  • Interest in learning FPGA/SoC architectures, AI stack optimization, and hardware-level security technologies.


ACADEMIC CREDENTIALS:
  • Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent

LOCATION:
  • San Jose, CA with a hybrid work environment.
  • Approximately 10% travel for industry conferences, customer engagements, and cross-functional collaboration activities.


This role is not eligible for visa sponsorship.

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Benefits offered are described: AMD benefits at a glance.

About Advanced Micro Devices, Inc

Advanced Micro Devices, Inc. Careers

Join the innovative forefront of technology with a career at Advanced Micro Devices, Inc. (AMD), a leader in semiconductor development. As part of our global team, you will contribute to an organization renowned for its dedication to innovation, leadership, and diversity in the tech industry.

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Join a team of over 12,000 dedicated professionals at the intersection of technology, industry expertise, and digital innovation. At AMD, you will work on groundbreaking projects that shape the future of computing and graphics. Our collaborative environment encourages networking and the sharing of ideas across teams and disciplines.

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Learn more about Advanced Micro Devices, Inc
Size
15,500 employees
Market Cap
$100.9 billion
Industry
Net Income
$2.4 billion
Founded
1969
5 Year Trend
+30.9%
Revenue
$9.7 billion
NASDAQ

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