Raydar
Forward Deployed Engineer
$144K–$250K
United States · Remote · Full-time · Posted Aug 21, 2026
- Experience
- Approximately 1 to 8 years; relevant areas include forward deployed engineering, field engineering, solutions architecture, customer-facing software engineering, or a closely related role.
- Education
- Bachelor's degree in computer science, engineering, or a related technical field.
- Visa sponsorship
- Unrestricted authorization to work in the United States required. Visa sponsorship and transfers are not available.
About the job
Takes customer computer vision deployments from proof of concept through production launch, adoption, and ongoing maintenance, often working on-site in physical environments.
What you'll do
- Own customer-facing deployments from initial build through production adoption and maintenance; travel on-site approximately 40% to 50% of the time.
- Build and configure data pipelines, edge devices, computer vision models, and supporting infrastructure; troubleshoot production issues.
- Share field insights with Product and Engineering, document architectures and runbooks, and hand successful customers to implementation teams.
What they ask for
- Approximately 1 to 8 years in forward deployed engineering, field engineering, solutions architecture, customer-facing software engineering, or a closely related role.
- Demonstrated ownership of a full customer-facing technical deployment through production adoption and maintenance.
- Strong Python software engineering skills and experience shipping production systems; hands-on systems-level experience with Docker, Kubernetes, networking, and Linux.
- Bachelor's degree in computer science, engineering, or a related technical field; unrestricted authorization to work in the United States. Visa sponsorship and transfers are not available.
Nice to have
- Experience in manufacturing, logistics, automotive, robotics, automation, or other hands-on physical-system deployments.
- Experience with NVIDIA Jetson, industrial cameras, model monitoring, retraining pipelines, or personal hardware projects.
Pay
$144,000 to $200,000 USD base salary; $180,000 to $250,000 USD on-target earnings (total pay)
Tools
Python, Docker, Kubernetes, Linux, NVIDIA Jetson, industrial cameras, computer vision, MLOps
AI focus
Build and deploy computer vision models and systems for physical environments; configure data pipelines and edge devices and address issues such as model drift.
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