Senior Solutions Architect - Deep Learning - Tel Aviv, Israel
Originally posted 14 September 2026 by the employer — open 5 days.
About the role
This role involves collaborating with Agentic and Physical AI tools, Machine learning, Deep Learning, and Data analytics to enhance workflows and create innovative solutions. The focus is on integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
What you'll do
- Guide customers through the sales process for GPU Computing products.
- Own the technical relationship and help customers build solutions using NVIDIA technology.
- Integrate NVIDIA technology into HPC architectures for scientific and engineering applications.
- Champion Deep Learning and Data Science within the NVIDIA technical community.
- Develop demo solutions and showcase them to the AI ecosystem.
What you'll need
- B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
- 5+ years of experience in software development or extensive data analytics.
- Experience with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton.
- Proven exposure to GPU technology and CUDA programming.
- Experience participating in communities (expertly or as highly engaged developer).
Skills: Deep Learning, GPU Computing, PyTorch, CUDA, HPC architectures
This role has been open 5 days — well below the 65-day median for AI/ML Hardware Engineering roles.
AI/ML Hardware Engineering · AI ML Hardware
|
Open roles in category
518
|
Median days open
65 d
|
Median salary
$229k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (518 roles · 76 employers) |
|---|---|---|
| Open roles in this specialty | 85 | 518 |
| Open roles in the wider Software, Firmware & Systems family | 943 | 5796 · 143 employers |
| Median days open | 65 d | 65 d (same as this employer) |
| Median salary (USD postings) | — | $229k |
Skills observed across this category: Deep Learning, GPU Computing, PyTorch, CUDA, HPC architectures
Who's hiring in this category
- Qualcomm · 106 open roles · median 97 d
- NVIDIA (this employer) · 85 open roles · median 65 d
- AMD · 43 open roles · median 60 d
- Micron Technology · 32 open roles · median 37 d
- Mobileye · 25 open roles · median 51 d
- Analog Devices · 14 open roles · median 22 d
How we counted: 518 open AI/ML Hardware Engineering (AI ML Hardware) roles from 76 employers tracked in the SemiconductorJobs index, counted 19 Sept 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.