Solutions Engineer

Moondream AI; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Paid parental leave

Relocation support

Equity

Job summary

Moondream AI is seeking a Solutions Engineer in San Francisco to own the technical side of deals from first call to deployment. You will map the customer's video pipeline, infrastructure constraints, and needs, then build POCs that run in their environment—cameras, hardware, and network.

The role requires hands-on coding in Python or C++, debugging across video ingestion, networking, and deployment tooling, and collaborating with engineering for production-ready solutions.

Qualifications

• Experience in pre-sales or solutions engineering with production deployments.
• Ability to write integrations in Python or C++ and demo to customers.
• Experience debugging video pipelines, networking, hardware, and deployment tooling.
• Experience with on-prem deployments and resist cloud-only approaches.

Responsibilities

• Own the technical side of deals from first call to deployment.
• Build POCs that prove Moondream works in the customer's environment.
• Debug across the full stack: model inference, video ingest, container orchestration, bare-metal quirks.
• Feed real customer problems back to engineering to improve the product.
• Spend a Tuesday afternoon SSH'd into a customer's edge device to diagnose issues.

Skills

Python

C++

Pre-sales

Video pipelines

On-prem deployments

Tools

GStreamer

Job description

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