Graduate ML Hardware Modelling Engineer - Lund, Sweden
$545,000 - $555,000 USD yearly
Originally posted 28 October 2026 by the employer.
Develop and assess performance on hardware modelling platforms for Arm NPU development using C and C++.
About the role
As a Graduate ML Hardware Modelling Engineer at Arm, you will develop and build new features on the hardware modelling platform and assess their performance for NPU development. You will collaborate with hardware design, verification, and compiler teams to deliver well-tested code for machine learning hardware modelling projects.
What you'll do
- Develop and build new features on the hardware modelling platform and assess their performance.
- Collaborate closely with ML HW design and verification teams, contributing to the architecture, specification, and verification of the product.
- Debug problems and assist development alongside hardware design and verification teams.
- Support the compiler team to ensure the hardware runs efficiently.
- Help maintain the model as an external deliverable in customer engagements.
- Deliver well-tested, high-quality code for ML hardware modelling projects.
What you'll need
- Hold, or be on track to hold, a Master's or PhD degree in Machine Learning, Electrical Engineering, Engineering Physics, Computer Science, or a similar technical field by the programme start date.
- Programming skills with strong capability in C or C++.
- Analytical skills to solve complex problems.
Skills: ML hardware modelling, SystemC, C++, HLS, neural accelerators
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: ML hardware modelling, SystemC, C++, HLS, neural accelerators
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.