AI Frameworks Engineer - California, Santa Clara, United States
$149,750 - $275,580 USD yearly
Originally posted 8 October 2026 by the employer.
This role optimizes AI software frameworks for Intel hardware platforms.
About the role
This role designs, develops, and optimizes AI software frameworks, enhancing the performance and functionality of frameworks like PyTorch and TensorFlow.
What you'll do
- Design, develop, and optimize for AI Inference and finetuning workloads for performance benchmarking on Intel Data center CPU and GPU.
- Implement distributed algorithms such as model/data parallel frameworks, parameter servers, dataflow based asynchronous data communication in deep learning frameworks.
- Propose optimizations in SW and kernel implementation to improve workload performance.
- Profile DL and LLM models to identify performance bottlenecks and propose solutions across individual component teams.
- Optimize code for various computing hardware backends.
- Interact with external consortiums to propose and contribute benchmarks on Intel HW platforms.
What you'll need
- Bachelor's & 4+ years or Master's & 3+ years or PhD & 0 years of relevant industry experience in Computer Science or Computer Engineering or Electrical Engineering or AI or computer vision or SW Engineering or related technical discipline.
- Programming skills in Python, C/C++.
- CUDA Low level programming and performance optimization skills for CPU and GPU including code generation, performance optimization, distributed compute and resource management.
- Computer architecture.
- Deep Learning algorithms.
- DL frameworks (e.g. vLLM, SGLang, PyTorch, JAX, etc.).
Nice to have
- Hardware-software co-design and stack optimization.
- Advanced degree (Master's or Ph.D.) in Computer Science or related field.
- Background in AI framework internals, model execution, or backend integration.
- Experience with container technologies (Docker, Kubernetes) and orchestration environments.
- Knowledge of deep learning algorithms, model architectures, and workload patterns.
- Proven ability to optimize AI training or inference workloads for various hardware backends.
- Experience developing in Linux environments.
Skills: AI software frameworks, PyTorch, TensorFlow, Intel hardware platforms, DL and LLM models
This role has been open 0 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 | Intel Corporation | All employers we track in this specialty (238 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 15 | 238 |
| Open roles in the wider Software, Firmware & Systems family | 191 | 6085 · 146 employers |
| Median days open | 1 d | 56 d (−55 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI software frameworks, PyTorch, TensorFlow, Intel hardware platforms, DL and LLM models
Who's hiring in this category
- NVIDIA · 124 open roles · median 51 d
- AMD · 56 open roles · median 58 d
- Qualcomm · 19 open roles · median 168 d
- Intel Corporation (this employer) · 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.