Senior Director of Engineering - AI Platform
$281,600 - $422,400 USD yearly
Originally posted 15 September 2026 by the employer.
Lead AI for Snapdragon Compute platforms.
About the role
This role leads AI for Snapdragon Compute platforms, defining and driving Qualcomm's Compute AI software strategy across Snapdragon-powered Windows, Android, Linux PCs. The role focuses on enabling AI experiences and establishing Snapdragon as a premier platform for on-device AI computing.
What you'll do
- Define and execute Qualcomm's AI software strategy for Windows on Snapdragon platforms.
- Drive creation of AI experiences leveraging Snapdragon CPUs, NPUs, GPUs, and heterogeneous compute architectures.
- Serve as engineering leader for strategic AI engagements with Microsoft.
- Lead teams responsible for end-to-end AI software enablement across Snapdragon compute products.
- Drive onboarding, optimization, quantization, validation, and deployment of AI models on Snapdragon Compute platforms.
- Define benchmarking strategy and performance targets for AI workloads.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 10+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 9+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
- OR PhD in Computer Science, Engineering, Information Systems, or related field and 8+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
Nice to have
- Master's degree in Computer Science, Engineering, Information Systems, or related field.
- 5 years of experience with Machine Learning frameworks (e.g., Tensor Flow, Caffe, Caffe 2, Pytorch, Keras).
- 5 years of experience with low level interactions between operating systems (e.g., Linux, Android, QNX) and Hardware.
- 5 years of experience in embedded system development and optimization with application to a specific problem domain in ML (e.g., NLP, multi-media).
- 10 years of experience with one or more programming language suitable for machine learning (e.g., Python, R, C, C++).
- 8 years of experience using statistics and probability (e.g., conditional probability, Bayes rule).
- 8 years in a technical leadership role.
- 8 years experience working in a large matrixed organization.
- 8 years of work experience in a role requiring interaction with senior leadership.
- 6 years managing operating budgets and/or project financials.
Skills: AI Platform, AI software strategy, Snapdragon CPUs, NPUs, GPUs, heterogeneous compute architectures, AI runtime integration
This role has been open 29 days — well below the 50-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
973
|
Median days open
50 d
|
Median salary
$235k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (973 roles · 85 employers) |
|---|---|---|
| Open roles in this specialty | 62 | 973 |
| Open roles in the wider Software, Firmware & Systems family | 715 | 6149 · 145 employers |
| Median days open | 56 d | 50 d (+6 d vs this employer) |
| Median salary (USD postings) | — | $235k |
Skills observed across this category: AI Platform, AI software strategy, Snapdragon CPUs, NPUs, GPUs, heterogeneous compute architectures, AI runtime integration
Who's hiring in this category
- NVIDIA · 289 open roles · median 44 d
- Qualcomm (this employer) · 61 open roles · median 57 d
- AMD · 57 open roles · median 21 d
- Graphcore · 44 open roles · median 90 d
- Intel Corporation · 40 open roles · median 9 d
- Cerebras · 39 open roles · median 80 d
How we counted: 973 open Infrastructure/Platform Software (Infrastructure Platform) roles from 85 employers tracked in the SemiconductorJobs index, counted 15 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.