Senior AI/ML Solutions Engineer - CA, Santa Clara, United States
Originally posted 1 October 2026 by the employer.
This role empowers customers and partners in adopting AMD’s AI software stack.
About the role
This role empowers customers and partners in adopting AMD’s AI software stack, focusing on development, integration, deployment, and performance analysis of AI solutions on AMD GPUs.
What you'll do
- Work across reference design creation, workflow optimization, performance tuning, and ecosystem enablement.
- Collaborate with engineering teams, ISVs, cloud partners, and enterprise customers to guide AI deployments and translate customer insights into engineering direction.
- Develop validated designs, notebooks, and performance playbooks; provide structured feedback to AMD’s ROCm, frameworks, platform, and performance engineering teams.
- Champion AMD technologies within the AI community, build demos and best-practice content, and support partner technology readiness.
What you'll need
- Extensive expertise in AI/ML engineering, distributed training, and GPU computing.
- Strong experience in customer engagement, enterprise solution design, and technical advocacy.
- Knowledge of modern ML workloads (LLMs, generative AI, RAG, CV, fine-tuning).
- Hands-on experience with PyTorch, TensorFlow, JAX, inference runtimes, and containerized GPU environments.
- BS, MS, or PhD in Computer Science or a related equivalent.
Nice to have
- Familiarity with ROCm, CUDA, AMD MI300/MI325 platforms, MLOps systems, data pipelines, and cloud-native deployment architectures.
- Experience developing demos, validated designs, reproducible notebooks, or technical content.
Skills: AI software stack, machine learning frameworks, GPU workflows, ROCm, PyTorch, customer engagement
This role has been open 7 days — well below the 56-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · GPU Software Stack
|
Open roles in category
238
|
Median days open
56 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 (238 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 54 | 238 |
| Open roles in the wider Software, Firmware & Systems family | 406 | 6078 · 146 employers |
| Median days open | 59 d | 56 d (+3 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI software stack, machine learning frameworks, GPU workflows, ROCm, PyTorch, customer engagement
Who's hiring in this category
- NVIDIA · 124 open roles · median 51 d
- AMD (this employer) · 56 open roles · median 58 d
- Qualcomm · 19 open roles · median 168 d
- Intel Corporation · 15 open roles · median 1 d
- Arm Holdings · 5 open roles · median 106 d
- d-Matrix · 2 open roles · median 114 d
How we counted: 238 open Infrastructure/Platform Software (GPU Software Stack) roles from 19 employers tracked in the SemiconductorJobs index, counted 9 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.