$178,400 - $267,600 USD yearly
Originally posted 13 April 2026 by the employer.
Design and develop the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK for IOT platforms.
About the role
This role is responsible for the software design and development of the Qualcomm AI Stack within the Qualcomm AI Runtime (QAIRT) SDK, focused on the IOT domain. You will lead development enabling the efficient execution of deep neural networks (DNNs), large language models (LLMs), and modern AI architectures on IOT product platforms.
What you'll do
- Lead hands-on feature development and enhancements across the Qualcomm AI Stack and Qualcomm AI Runtime (QAIRT) SDK for IOT product platforms. - Supervise and provide technical guidance to team members while coordinating with cross-functional teams supporting IOT platforms. - Participate in strategic planning to integrate Qualcomm AI Stack SDKs into targeted IOT products. - Make technical decisions impacting software architecture across the broader engineering work group. - Monitor industry and academic advancements in machine learning and software engineering to continuously improve platform capabilities.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. - 8+ years of industry and general software development experience (or 6+ years with a Bachelor's, 5+ years with a Master's, or 4+ years with a PhD in a relevant field). - Proficiency in software development using C/C++. - Experience with Linux or Unix based operating systems software development environments. - Demonstrated software development skills in data structures, algorithm design, object-oriented paradigms, debugging, and testing.
Nice to have
- Master’s degree in Computer Science, Computer Engineering, or Electrical Engineering. - Software development experience with Python. - Experience with Windows software development environments. - Experience building embedded software applications and debugging across hardware, OS, compiler, and driver layers. - Experience with neural network architectures including DNNs, CNNs, RNNs/LSTMs, GANs, and LLMs. - Experience with low-level interactions between operating systems (Linux, Android, QNX) and hardware. - Experience using or integrating Qualcomm AI Stack products such as QNN, SNPE, and QAIRT. - Experience with agile software development practices and Git-based SCM.
Skills: machine learning, Qualcomm AI Stack, Qualcomm AI Runtime (QAIRT) SDK, deep neural networks (DNNs), large language models (LLMs), AI software solutions
This role has been open 200 days — well above 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 | Qualcomm | All employers we track in this specialty (506 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 104 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 735 | 6250 · 144 employers |
| Median days open | 116 d | 87 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: machine learning, Qualcomm AI Stack, Qualcomm AI Runtime (QAIRT) SDK, deep neural networks (DNNs), large language models (LLMs), AI software solutions
Who's hiring in this category
- Qualcomm (this employer) · 105 open roles · median 116 d
- NVIDIA · 89 open roles · median 58 d
- AMD · 33 open roles · median 107 d
- Micron Technology · 26 open roles · median 59 d
- Mobileye · 20 open roles · median 85 d
- Analog Devices · 18 open roles · median 43 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 77 employers tracked in the SemiconductorJobs index, counted 25 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.