AI TLM Performance Modeling
$162,000 - $243,000 USD yearly
Originally posted 25 September 2026 by the employer.
About the role
This role involves building performance modeling platforms and tools for Qualcomm’s SoC hardware. The platforms are essential to analyze and validate LLMs and AI workloads for cloud data server applications.
What you'll do
- Design, develop, and test performance modeling platforms and tools.
- Analyze and optimize AI workloads to improve performance and power efficiency.
- Find optimal hardware architecture and tradeoffs for Qualcomm’s AI hardware platforms.
- Work on performance modeling for AI hardware platforms.
What you'll need
- Experience in performance modeling, analysis of ML networks.
- Programming in Python, C/C++, SystemC, TLM2.0.
- Experience in SoC architecture, DDR memory controller, NOC design/modeling.
- Experience in AI workloads and architectures including LLMs and ML networks.
- Experience in architecture for machine learning hardware accelerators.
- Experience with TensorFlow, Pytorch.
- Familiarity with Computer architecture, DSP architecture, and hardware (RTL) design/modeling/verification.
- Experience with compiler frameworks such as LLVM or GCC.
Skills: performance modeling, AI hardware platforms, LLMs and AI workloads, SoC architecture, SystemC, TLM2.0, TensorFlow, Pytorch
This role has been open 1 day — well below the 68-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
68 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 691 | 5833 · 143 employers |
| Median days open | 102 d | 68 d (+34 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: performance modeling, AI hardware platforms, LLMs and AI workloads, SoC architecture, SystemC, TLM2.0, TensorFlow, Pytorch
Who's hiring in this category
- Qualcomm (this employer) · 105 open roles · median 102 d
- NVIDIA · 81 open roles · median 65 d
- AMD · 46 open roles · median 61 d
- Micron Technology · 32 open roles · median 45 d
- Mobileye · 21 open roles · median 61 d
- Analog Devices · 14 open roles · median 30 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 27 Sept 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.