AI Applications Engineer

AMD
San Jose
Workplace: HybridFull timeUSD 105,700 - 181,200 annuallyFunction: Data Science & Machine LearningEducation: mastersSkills: ["Collaboration","Continuous learning","Technical excellence","Humility","Inclusion"]

Develop AI-assisted workflows to accelerate FPGA/SoC reference design development, verification, and optimization. Fine-tune and evaluate open-source AI models for embedded, edge, and security-focused applications, then implement optimized AI inference workloads across FPGA SoCs, NPUs, and GPUs for wired and wireless environments. Collaborate with engineering, product, field teams, and customers through technical presentations, prototypes, benchmarks, and recommendations to support product roadmaps.

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FursaFursa
AMD
AMD
1 week ago

AI Applications Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Develop AI-assisted workflows to accelerate FPGA/SoC reference design development, verification, and optimization. Fine-tune and evaluate open-source AI models for embedded, edge, and security-focused applications, then implement optimized AI inference workloads across FPGA SoCs, NPUs, and GPUs for wired and wireless environments. Collaborate with engineering, product, field teams, and customers through technical presentations, prototypes, benchmarks, and recommendations to support product roadmaps.
Location: San Jose
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Entry level

Key Responsibilities

  • •Leverage AI technologies to accelerate FPGA/SoC reference design development, verification, and optimization using Vivado and Vitis tool flows.
  • •Apply AI tools and techniques to improve productivity across 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 while balancing performance, latency, power, and resource utilization.
  • •Research and prototype approaches for securing AI infrastructure deployments, and contribute benchmarks, proof-of-concepts, and technical content to support product strategy.
Travel: Low travel

Pay and Benefits

Salary: USD 105,700 - 181,200 annually

Key Requirements

  • •Strong technical foundation in AI/ML, programming, and mathematical modeling with a collaborative, learning-oriented mindset.
  • •Hands-on experience with training, fine-tuning, quantization, and evaluation of open-source AI models.
  • •Proficiency in Python or C/C++, Linux development environments, and Git-based version control.
  • •Strong understanding of machine learning fundamentals, neural networks, optimization techniques, probability, and statistics.
  • •Familiarity with FPGA design methodologies, including RTL development (Verilog/VHDL) and/or High-Level Synthesis (HLS).
Education:Master's in Electrical Engineering, Mathematics, Computer Science, Engineering
Skills:CollaborationContinuous learningTechnical excellenceHumilityInclusion
Languages:En-us
Tech Stack:AI/MLPythonC/C++LinuxGitFPGASoCAMD VivadoAMD VitisNPUsGPUsOpen-source modelsQuantizationNeural networksOptimization techniquesVerilogVHDLRTLHigh-Level Synthesis (HLS)Embedded systems

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
WebsiteLinkedIn