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: $170k–$210k base + $50k–$80k variable + meaningful equity
Benefits: Health, dental, vision, paid parental leave, relocation support

Apply

Send your resume to hiring@moondream.ai