Moondream AI
Solutions Engineer
Skills
14 days ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
San Francisco, CA, USA
Work mode:
Remote
Published on:
9 October 2026
What they need
← Back to all positions
Solutions Engineer
San Francisco, CA·In-person·Full-time
Every Moondream deal has a moment where the customer says “okay, but will this actually work on our hardware, with our cameras, in our network?” The AE looks at you. That's the job.
Our customers are running vision models on NVIDIA Jetson at the edge, in locked-down private clouds, on bare metal behind firewalls that block everything interesting. One has RTSP streams from fifteen different camera models and a network engineer who doesn't return emails. You figure out the integration path, build the proof of concept, and make it work in their environment, not a clean demo on your laptop.
You Should Probably Apply If
- You've done pre-sales or solutions engineering and your POCs actually turned into production deployments
- You can write a working integration in Python or C++ while screen-sharing with a customer and not break a sweat
- You've debugged problems that span video pipelines, networking, hardware, and deployment tooling, ideally all in the same afternoon
- You've worked with on-prem deployments and know why “just use the cloud” makes infrastructure teams stop returning your calls
You Should Definitely Not Apply If
- You scope the demo and then hand it to someone else to build
- You haven't touched a terminal in your last role
- Remote work is non-negotiable (we're in-person in San Francisco because the best solutions get built when you can grab someone from engineering and whiteboard it out)
What you'll actually do
- Own the technical side of deals from first call to deployment. Understand the customer's video pipeline, infrastructure constraints, and what they actually need (which is rarely what they say they need).
- Build POCs that prove Moondream works in the customer's actual environment: their cameras, their hardware, their network
- Debug across the full stack: model inference, video ingest, container orchestration, bare-metal quirks, and whatever else is between us and production
- Feed real customer problems back to engineering so the product gets better, not just the slide deck
- Spend a Tuesday afternoon SSH'd into a customer's edge device wondering why GStreamer hates their particular camera firmware
Details
- Location: San Francisco, CA (in-person)
- Compensation: $120k–$150k base + $35k–$55k variable + meaningful equity
- Benefits: Health, dental, vision, paid parental leave, relocation support
Apply
Send your resume to [email protected]
Expect to hear back within a week. If you don't, please follow up!
Other offers great for you!
These companies are also looking for great profiles
pasteque.io
Solutions Engineer Kubernetes | 60-80K | Strasbourg/Lyon/Remote
Permanent contract
Lyon, France
Remote, Hybrid, Onsite
Skills
3 months ago
Quick apply
Almatech
Solutions Engineer / Forward deployed Engineer
jusqu'à 100K fixe + variable déplafonné
Permanent contract
Paris, France
Hybrid
Skills
2 months ago
Quick apply
Salutech
Architecte Solutions - Banque
600
Freelance
21000 Dijon, France
Onsite, Hybrid
Skills
10 hours ago
Quick apply
No company information available.