We're a team of engineers, researchers and operators building real-time vision and intelligence-fusion systems deployed where the stakes are highest. If you want your work in the field, not the backlog — talk to us.
Be the bridge between the platform and the field — stand up Raven AI and Raven Fusion on customer infrastructure, tune it to their environment, and keep it running where it matters most.
What you'll do
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Deploy and configure the platform on customer hardware, on-prem and air-gapped.
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Tune models and analytics to each site's cameras, scenes and use-cases.
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Run demos and proofs-of-concept against real customer environments.
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Feed field learnings back to product and engineering.
What we look for
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3+ years in deployment, solutions or DevOps-style customer-facing engineering.
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Strong Linux, networking, containers and GPU stack troubleshooting.
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Comfortable on-site and travelling to customer deployments.
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Clear communicator who can translate between operators and engineers.
