CoDesign & NextGen Performance Engineer - Sunnyvale, CA, United States
Originally posted 14 July 2026 by the employer.
Optimize AI models on Cerebras WSE.
About the role
What you'll do
- Bring up and optimize performance on new generations of the Cerebras WSE.
- Build performance models (kernel-level, end-to-end) to estimate the performance of customer ML models.
- Optimize and debug kernel micro code and compiler algorithms to elevate ML model inference speed, throughput, and compute utilization on the Cerebras WSE.
- Debug and understand runtime performance on the system and cluster.
- Develop tools and infrastructure to help visualize performance data collected from the Wafer Scale Engine and compute cluster.
What you'll need
- Bachelors / Masters / PhD in Electrical Engineering or Computer Science.
- Strong background in computer architecture.
- Exposure to and understanding of low-level deep learning / LLM math.
- 3+ years of experience in computer architecture, CPU/GPU performance, kernel optimization, or HPC.
- Experience working on CPU/GPU simulators.
- Exposure to performance profiling and debug on any system pipeline.
- Comfort with C++ and Python.
Skills: ai models, cerebras hardware, wse, computer architecture, kernel optimization, hpc
This role has been open 84 days — exactly the 84-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
507
|
Median days open
84 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Cerebras | All employers we track in this specialty (507 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 9 | 507 |
| Open roles in the wider Software, Firmware & Systems family | 73 | 6118 · 145 employers |
| Median days open | 84 d | 84 d (same as this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: ai models, cerebras hardware, wse, computer architecture, kernel optimization, hpc
Who's hiring in this category
- Qualcomm · 99 open roles · median 115 d
- NVIDIA · 91 open roles · median 54 d
- AMD · 41 open roles · median 82 d
- Micron Technology · 28 open roles · median 61 d
- Analog Devices · 19 open roles · median 37 d
- Mobileye · 17 open roles · median 81 d
How we counted: 507 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 19 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.