Senior Staff Engineer, Machine Learning Engineering ( Agentic AI SW )
$194,400 - $291,600 USD yearly
Originally posted 6 October 2026 by the employer.
Develop and optimize embedded AI software and runtime systems to orchestrate neural network models on Qualcomm’s hardware.
About the role
What you'll do
- Lead the development of end-to-end embedded AI software and runtime systems to orchestrate neural network models.
- Design, develop, debug, profile, and optimize AI/ML frameworks, runtime software, model efficiency tools, and compiler technologies.
- Develop, adapt, and prototype novel AI/ML and agentic software solutions aligned with product roadmaps.
- Provide technical leadership for the design, implementation, training, evaluation, and deployment of machine learning solutions.
- Design and enhance the implementation of ML/AI SW stack and runtime software to improve performance and power efficiency.
- Collaborate cross-functionally with hardware, software, and research teams to define technical direction and solve complex problems.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ years of work experience.
- Strong software engineering background with experience leading complex technical initiatives.
- Ability to operate independently, adapt to evolving priorities, and drive execution against product and research milestones.
- Experience mentoring engineers and collaborating across research, software, and hardware organizations.
Nice to have
- At least 9 years of work experience in a relevant field.
- 5 years of experience with C/C++ and Python.
- 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).
- Knowledge of model onboarding and on device inference.
- Familiarity with software performance and power optimization.
- Experience with the Qualcomm AI Software Stack SDKs.
Skills: embedded AI software, runtime systems, neural network models, ML frameworks, model optimization
This role has been open 2 days — well below the 48-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · AI ML Hardware
|
Open roles in category
110
|
Median days open
48 d
|
Median salary
$220k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (110 roles · 30 employers) |
|---|---|---|
| Open roles in this specialty | 22 | 110 |
| Open roles in the wider Software, Firmware & Systems family | 720 | 6047 · 146 employers |
| Median days open | 46 d | 48 d (−2 d vs this employer) |
| Median salary (USD postings) | — | $220k |
Skills observed across this category: embedded AI software, runtime systems, neural network models, ML frameworks, model optimization
Who's hiring in this category
- NVIDIA · 24 open roles · median 41 d
- Qualcomm (this employer) · 21 open roles · median 44 d
- AMD · 9 open roles · median 42 d
- Intel Corporation · 8 open roles · median 16 d
- Graphcore · 7 open roles · median 94 d
- Micron Technology · 5 open roles · median 51 d
How we counted: 110 open Infrastructure/Platform Software (AI ML Hardware) roles from 30 employers tracked in the SemiconductorJobs index, counted 9 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.