Solutions Engineer

Moondream

San Francisco (CA)

Hybrid

USD 155,000 - 205,000

Full time

2 days ago
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Benefits offered by this job

Meaningful equity

Job summary

Moondream in San Francisco is seeking a Solutions Engineer to own the technical side of deals from first call to deployment. You’ll map the customer’s video pipeline, infrastructure constraints, and true needs, not just what they say they want.

Build POCs that prove Moondream works in the customer’s environment—cameras, hardware, and network. Debug across the stack from model inference to bare-metal quirks, and relay real customer problems to engineering to improve the product.

Qualifications

  • Experience in pre-sales or solutions engineering and turning POCs into production deployments.
  • Ability to write working integrations in Python or C++ while screen-sharing with customers.
  • Experience debugging video pipelines, networking, hardware and deployment tooling.

Responsibilities

  • Own the technical side of deals from first call to deployment and understand the customer's video pipeline and constraints.
  • Build POCs that prove Moondream works in the customer's environment: cameras, hardware and network.
  • Debug across the full stack—from model inference to containerization and bare-metal quirks.
  • Feed real customer problems back to engineering to improve the product, not just slides.
  • Spend time on-site at customer edges to troubleshoot live configurations.

Skills

Solutions engineering
Python
C++
Video pipelines

Tools

GStreamer

Job description

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
  • Compensation: $120k–$150k base + $35k–$55k variable + meaningful equity
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