Machine Learning Engineering Intern (MS/PhD)
$50 - $60 USD hourly
Develop and prototype hardware-aware algorithms and models to drive PPA on Arm platforms.
Originally posted 13 November 2026 by the employer.
About the role
As a Machine Learning Engineering Intern in the Central Technology - Machine Learning (CT-ML) Algorithms team, you will analyze ML workloads and develop algorithms and optimization techniques to drive performance, power, and area (PPA) on Arm platforms. You will prototype algorithms and models to support current platforms and future architecture exploration.
What you'll do
- Analyze ML workloads and serve as an ML workload resource across phases of Arm IP development.
- Devise algorithms and build prototypes on current platforms to support future architecture exploration.
- Develop internal tooling capabilities to support algorithmic and architecture exploration.
- Conduct proof of concept exploration to prototype algorithms and optimized models for architecture development.
- Develop and prototype algorithms to automate deployment of hardware-aware network optimization processes on Arm processors.
What you'll need
- Active enrollment as a graduate student (PhD or MS with relevant research/work experience or publications) in Computer Engineering, Electrical Engineering, Computer Science, or related technical fields, returning to your degree following the internship.
- Knowledge in machine learning, deep learning, and neural network design, optimization, and compression techniques.
- Knowledge of computer architecture, systems, and HW-SW co-design.
- Experience developing and working with large software systems using Python.
- Knowledge of deep learning libraries such as TensorFlow and PyTorch.
- Willingness to learn and train large deep learning models on GPU-based systems.
Skills: PPA, HW-SW co-design, machine learning, computer architecture, Python, PyTorch
More semiconductor jobs: Arm Holdings jobs · AI chip design jobs · Austin jobs
First seen in our index 0 days ago, well below the 108-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
479
|
Median days since first seen
108 d
|
Category median salary (all employers)
$238k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Arm Holdings | All employers we track in this specialty (479 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 14 | 479 |
| Open roles in the wider Software, Firmware & Systems family | 142 | 6702 · 161 employers |
| Median days since first seen | 16 d | 108 d (+92 d vs this employer) |
| Median salary (USD postings) | n/a | $238k |
Skills observed across this category: PPA, HW-SW co-design, machine learning, computer architecture, Python, PyTorch
Who's hiring in this category
- NVIDIA · 109 open roles · median 87 d
- Qualcomm · 100 open roles · median 125 d
- AMD · 21 open roles · median 127 d
- Mobileye · 15 open roles · median 101 d
- Analog Devices · 14 open roles · median 50 d
- Micron Technology · 14 open roles · median 65 d
How we counted: 479 open AI/ML Hardware Engineering (AI ML Hardware) roles from 73 employers tracked in the SemiconductorJobs index, counted 13 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.