Sr. Forward Deployed AI Engineer - CA, Santa Clara, United States
Originally posted 7 July 2026 by the employer.
About the role
AMD is seeking a Sr. Forward Deployed AI Engineer to build, evaluate, and deploy AI systems that solve complex engineering challenges for enterprise customers. The role combines software engineering, applied AI research, and customer engagement to develop production-ready systems using modern LLMs, reinforcement learning, agentic workflows, and post-training techniques.
What you'll do
- Partner with customer engineering teams to understand workflows, technical challenges, and opportunities for AI-driven automation. - Design, build, and deploy production-grade AI applications, LLM agents, and engineering automation solutions. - Develop evaluation frameworks, benchmarks, testing environments, and data pipelines to measure model quality and business impact. - Build and evaluate LLM post-training solutions, including supervised fine-tuning, reinforcement learning, preference optimization, and reward modeling. - Diagnose and optimize AI system performance across models, data, infrastructure, orchestration, and tooling. - Transform recurring customer use cases into reusable AI infrastructure, frameworks, and platform capabilities.
What you'll need
- Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience). - Strong software engineering experience in Python and at least one systems language such as C++, Rust, C, TypeScript, CUDA, or HIP. - Proven experience building production AI or machine learning systems beyond prompt engineering or API integrations. - Hands-on experience with LLM post-training, reinforcement learning (RLHF, PPO, DPO, GRPO, or similar), preference optimization, reward modeling, model or agent evaluation, or AI training/inference infrastructure. - Deep understanding of transformer-based LLMs, inference, fine-tuning, retrieval, evaluation, and agent architectures. - Experience designing reproducible evaluation frameworks using benchmarks, testing, and measurable performance metrics.
Nice to have
- Experience training, fine-tuning, or post-training foundation models or open-source LLMs. - Experience with PyTorch, Hugging Face, JAX, TensorFlow, Ray, vLLM, or distributed AI infrastructure. - Experience building AI agents, retrieval systems, tool calling, workflow orchestration, or automated code generation. - Experience with GPU optimization, CUDA, distributed systems, or high-performance computing. - Background in forward-deployed engineering, applied AI research, customer engineering, or solutions architecture. - Master's or PhD degree in Computer Science, Computer Engineering, Electrical Engineering, Machine Learning, or a related field.
Skills: AI prototypes, LLMs, engineering tools, evaluation harnesses, GPU/CPU performance
This role has been open 106 days — well above the 83-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
511
|
Median days open
83 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (511 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 38 | 511 |
| Open roles in the wider Software, Firmware & Systems family | 406 | 6296 · 145 employers |
| Median days open | 95 d | 83 d (+12 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI prototypes, LLMs, engineering tools, evaluation harnesses, GPU/CPU performance
Who's hiring in this category
- Qualcomm · 103 open roles · median 112 d
- NVIDIA · 91 open roles · median 56 d
- AMD (this employer) · 40 open roles · median 85 d
- Micron Technology · 27 open roles · median 56 d
- Analog Devices · 18 open roles · median 39 d
- Mobileye · 18 open roles · median 84 d
How we counted: 511 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 21 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.