Originally posted 9 November 2026 by the employer.
About the role
Responsible for neural network development in the automotive domain, focusing on neural network functionality, ADAS and GenAI features, and performance and accuracy optimization using hardware awareness on Qualcomm Snapdragon Ride platforms. The role emphasizes deployment and optimization of Large Language Models (LLM) and Vision Language Models (VLM) for intelligent automotive systems.
What you'll do
- Develop automotive neural network functionality and ADAS and GenAI features on Qualcomm Snapdragon Ride platforms.
- Deploy and optimize Large Language Models (LLM) and Vision Language Models (VLM) supporting intelligent automotive systems.
- Enhance existing system-level solutions and develop architectures based on neural networks from research, optimizing them for Snapdragon platforms.
- Apply hardware-aware development and optimization concepts to improve neural network performance and accuracy.
- Conduct neural network training workflows including dataset augmentation, training techniques, issue triage, and evaluation reporting.
What you'll need
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 2+ years of Software Engineering experience, or Master's degree with 1+ year of experience, or a PhD.
- 1+ years of C/C++ and Python programming experience on Linux or other embedded systems.
- Familiarity with deep learning frameworks, especially PyTorch and TensorFlow.
- Hands-on experience with deep learning network design and implementation.
- Practical knowledge of neural network training, including dataset augmentation, training techniques, issue triage, and evaluation reports.
- Experience working with LLMs or multi-modal models (VLM/VLA), including fine-tuning, optimization, or deployment.
Nice to have
- Familiarity with modern high-performance LLM inference frameworks such as vLLM (continuous batching, PagedAttention, speculative decoding integration), llama.cpp / GGML-family runtimes, SGLang, and inference engines such as TensorRT, ONNX Runtime GenAI, or QNN.
- LLM inference acceleration expertise, including speculative decoding, EAGLE, MTP, KV Cache management, reuse policies, hierarchical caching, and eviction strategies.
- Experience with attention optimizations such as continuous batching, PagedAttention, SparseAttention, and Flash-Attention variants.
- Experience profiling and optimizing memory bandwidth and runtime scheduling.
- Multi-modal / VLA integration experience combining text-vision, text-sensor, or text-action models for robotics or autonomous driving workflows.
- Experience adapting open-source VLM/VLA models (LLaVA, Qwen-VL, InternVL, OpenVLA) to embedded or ADAS workflows.
- Published or accepted papers in conferences such as CVPR, ICCV, or ECCV.
Skills: LLM inference, QNN, TensorRT, vLLM, ADAS, KV Cache
More semiconductor jobs: Qualcomm jobs · AI chip design jobs · China jobs
First seen in our index 3 days ago, well below the 108-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
467
|
Median days since first seen
108 d
|
Category median salary (all employers)
$237k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Qualcomm | All employers we track in this specialty (467 roles · 73 employers) |
|---|---|---|
| Open roles in this specialty | 94 | 467 |
| Open roles in the wider Software, Firmware & Systems family | 700 | 6586 · 158 employers |
| Median days since first seen | 134 d | 108 d (−26 d vs this employer) |
| Median salary (USD postings) | n/a | $237k |
Skills observed across this category: LLM inference, QNN, TensorRT, vLLM, ADAS, KV Cache
Who's hiring in this category
- NVIDIA · 108 open roles · median 86 d
- Qualcomm (this employer) · 94 open roles · median 133 d
- AMD · 21 open roles · median 126 d
- Mobileye · 15 open roles · median 100 d
- Analog Devices · 14 open roles · median 49 d
- Micron Technology · 13 open roles · median 57 d
How we counted: 467 open AI/ML Hardware Engineering (AI ML Hardware) roles from 73 employers tracked in the SemiconductorJobs index, counted 12 Nov 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there, and is counted in the wider Software, Firmware & Systems family row. Days are counted from when our index first saw each posting, not from the employer's original posting date.