DSP Applications Software Engineer - Austin, Texas, United States of America, United States
$127,200 - $190,800 USD yearly
Originally posted 16 June 2026 by the employer.
About the role
This role is responsible for the development of Qualcomm's AI solution on the DSP architecture and design team. You will work on enabling neural network models and developing software features for Qualcomm NSP.
What you'll do
- Collaborate with the architecture team to define NSP architecture. - Enable network models and new AI SW features to address customer use-cases. - Evaluate and optimize neural networks runtime performance and accuracy. - Develop AI SW stack components on Qualcomm NSP.
What you'll need
- Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or related field with 2+ years of Software Engineering, Electrical Engineering, Systems Engineering, or related work experience (or Master's degree with 1+ year, or PhD). - 2+ years of experience with high-performance microprocessor design.
Nice to have
- Experience in Embedded systems development. - Experience in C/C and Python. - Experience in AI/ML frameworks such as Pytorch, Tensor flow, or ONNX. - Background in mathematical algorithms using fast math libraries and vector instruction sets.
Skills: next generation NSP, network models, AI SW features, optimizing neural networks, AI/ML frameworks
This role has been open 129 days — well above the 85-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
509
|
Median days open
85 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 (509 roles · 75 employers) |
|---|---|---|
| Open roles in this specialty | 105 | 509 |
| Open roles in the wider Software, Firmware & Systems family | 738 | 6298 · 144 employers |
| Median days open | 114 d | 85 d (+29 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: next generation NSP, network models, AI SW features, optimizing neural networks, AI/ML frameworks
Who's hiring in this category
- Qualcomm (this employer) · 104 open roles · median 114 d
- NVIDIA · 89 open roles · median 56 d
- AMD · 38 open roles · median 96 d
- Micron Technology · 27 open roles · median 58 d
- Mobileye · 20 open roles · median 83 d
- Analog Devices · 18 open roles · median 41 d
How we counted: 509 open AI/ML Hardware Engineering (AI ML Hardware) roles from 75 employers tracked in the SemiconductorJobs index, counted 23 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.