ML Engineer - Qualcomm - Grenoble, France
Originally posted 20 October 2026 by the employer.
About the role
This role involves researching, developing, and optimizing machine learning framework and compiler components based on performance and code-size needs for customer workloads and benchmarks. You will focus on software solutions and integration tailored for Qualcomm's SOCs spanning mobile, edge, and embedded platforms.
What you'll do
- Research, design, develop, enhance, and implement components of machine learning framework and compilers based on workload and benchmark constraints.
- Analyze software requirements, evaluate design feasibility, consult with architecture and hardware engineers, and implement software solutions for Qualcomm SOCs.
- Analyze and identify system-level integration issues while interfacing with software development, integration, and test teams.
What you'll need
- Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field with 2+ years of relevant experience, or a Master's degree with 1+ year of experience, or a PhD.
- Experience in hardware engineering, software engineering, or systems engineering work.
Nice to have
- Internal working knowledge of machine learning frameworks such as PyTorch or TensorFlow, and model-level optimization techniques like torch compile.
- Experience with LLVM or industrial-strength compiler development and compiler internals.
- Hands-on experience with SIMD, multi-threaded high-performance code, or DSP kernels.
- Hands-on experience in C/C++ (including C++14/17 advanced features) and Python development.
- Familiarity with object-oriented design and TDD development frameworks such as GoogleTest.
- Prior experience with hardware accelerators, hardware software co-design, and ML compiler workload synthesis.
- Experience at firmware (RTOS) and system level (Linux) in SOC environments, alongside software profiling and optimization techniques.
- Experience with programming in memory and source code management using Git.
Skills: ML compiler, PyTorch, hardware accelerators, co-design, LLVM
More semiconductor jobs: AI chip design jobs
This role has been open 9 days — well below 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 · 76 employers) |
|---|---|---|
| Open roles in this specialty | 96 | 506 |
| Open roles in the wider Software, Firmware & Systems family | 684 | 6367 · 147 employers |
| Median days open | 120 d | 87 d (+33 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: ML compiler, PyTorch, hardware accelerators, co-design, LLVM
Who's hiring in this category
- Qualcomm (this employer) · 99 open roles · median 120 d
- NVIDIA · 89 open roles · median 62 d
- AMD · 32 open roles · median 112 d
- Micron Technology · 27 open roles · median 64 d
- Mobileye · 20 open roles · median 90 d
- Analog Devices · 17 open roles · median 47 d
How we counted: 506 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 29 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.