Engineer II, Machine Learning - Irvine, California, United States
$100,000 - $110,000 USD yearly
Originally posted 2 October 2026 by the employer.
About the role
You will translate research into accurate and robust solutions.
What you'll do
- Develop core ML tools and infrastructure to run ML models trained on PyTorch, TensorFlow/Keras on Syntiant Neural Decision Processors.
- Implement prototypes to test and validate new approaches quickly.
- Deliver production-ready solutions within tight timeframes.
- Collaborate with the Modeling team and Embedded Software team to run models efficiently in Syntiant Chips.
- Root cause and fix issues reported in the field.
What you'll need
- MS in Computer Science/Engineering, Machine Learning or related field.
- 0-2 years of experience with implementation of high performance ML kernels on custom HW accelerators or GPUs.
- Experience with Performance Optimization, focusing on latency, memory bandwidth, data flow, and maximizing HW utilization.
- Strong C/C++ and Python programming expertise, experience with PyTorch, TensorFlow, LLVM/MLIR.
- Ability to quickly prototype and iterate on complex ML solutions.
Skills: PyTorch, TensorFlow, ML kernels, custom HW accelerators, C/C++
This role has been open 0 days — well below the 74-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
74 d
|
Median salary
$225k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Syntiant | All employers we track in this specialty (509 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 2 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 3 | 5917 · 145 employers |
| Median days open | 12 d | 74 d (−62 d vs this employer) |
| Median salary (USD postings) | — | $225k |
Skills observed across this category: PyTorch, TensorFlow, ML kernels, custom HW accelerators, C/C++
Who's hiring in this category
- Qualcomm · 105 open roles · median 106 d
- NVIDIA · 84 open roles · median 73 d
- AMD · 43 open roles · median 66 d
- Micron Technology · 30 open roles · median 55 d
- Mobileye · 20 open roles · median 70 d
- NXP Semiconductors · 15 open roles · median 60 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 3 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.