Originally posted 15 October 2026 by the employer.
About the role
This role develops, designs, and architects new features in the hardware modelling platform while evaluating performance for Arm NPU IP. You will contribute to product specification, collaborate with ML hardware design, verification, and compiler teams, and drive technical direction for hardware models.
What you'll do
- Develop, design, and architect new features within the hardware modelling platform while evaluating performance.
- Collaborate closely with ML hardware design and verification teams to contribute to product design, specification, and verification.
- Work with the compiler team to optimize hardware performance.
- Support the hardware model for use in customer engagements.
- Lead larger work packages, drive technical direction, and mentor junior engineers.
What you'll need
- Master’s or PhD degree in Machine Learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field.
- Strong programming skills in C, C++, and Python.
- Strong analytical skills to develop solutions for complex problems.
- Ability to cooperate closely within a diverse engineering team to fulfill common targets.
Nice to have
- Experience in HW design and/or modelling.
- Experience in SystemC and HLS flows.
- Source control skills with Git, Gerrit, or Repo.
- Experience with CI/CD, agile SW development, continuous integration, and Test driven development.
- Experience with machine learning applications and frameworks.
- Sound understanding of signal processing or control systems.
Skills: NPU, hardware modelling, C++, Python, SystemC
More semiconductor jobs: AI chip design jobs
This role has been open 1 day — well below the 87-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
506
|
Median days open
87 d
|
Median salary
$236k
|
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 (506 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 13 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 130 | 6367 · 147 employers |
| Median days open | 1 d | 87 d (−86 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: NPU, hardware modelling, C++, Python, SystemC
Who's hiring in this category
- Qualcomm · 99 open roles · median 120 d
- NVIDIA · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 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.