Sr Engineer, Machine Learning Engineering (ML Apps)
$140,800 - $211,200 USD yearly
Originally posted 29 July 2026 by the employer.
Focus on advancing Gen AI Technology for the Edge.
About the role
This role involves working in a dynamic research environment as part of a multi-disciplinary team of researchers and software engineers to architect, design, develop, test, and deploy on-device prototype software for AI use cases.
What you'll do
- Architect, design, develop, test, and deploy on-device prototype software.
- Work with AI frameworks and tools.
- Enable on-device AI using modern software engineering best practices.
What you'll need
- Expert-level proficiency in C and Python.
- Strong foundation in software design, development, and optimization.
- Knowledge of deep learning and ML frameworks (i.e. PyTorch).
- Strong software design skills with a focus on usability.
- Hands-on experience in low-level system debugging, performance tuning, memory analysis, and native inference driver development/debugging.
- Experience in Embedded Software development.
- At least 3 years of work experience in a relevant field.
Nice to have
- Experience with Android development, including Java, JNI, NDK, and native framework integration.
- Knowledge of Generative AI (GenAI) technologies.
- Knowledge of neural network model optimization and on-target deployment.
- Previous experience with Docker, Git and CI/CD.
- Knowledge of NPUs / ML accelerators.
- Knowledge of modern Generative AI architectures, including LLMs, VLMs, inference pipelines, and model deployment.
Skills: C, Python, PyTorch, low-level system debugging, performance tuning, Embedded Software
This role has been open 80 days — below the 83-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
508
|
Median days open
83 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (508 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 99 | 508 |
| Open roles in the wider Software, Firmware & Systems family | 705 | 6118 · 145 employers |
| Median days open | 114 d | 83 d (+31 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: C, Python, PyTorch, low-level system debugging, performance tuning, Embedded Software
Who's hiring in this category
- Qualcomm (this employer) · 99 open roles · median 114 d
- NVIDIA · 93 open roles · median 54 d
- AMD · 41 open roles · median 81 d
- Micron Technology · 27 open roles · median 68 d
- Analog Devices · 19 open roles · median 36 d
- Mobileye · 17 open roles · median 80 d
How we counted: 508 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 18 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.