Software Engineer

Raydar

Chicago (IL)

On-site

USD 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Full family health-insurance coverage
Annual travel stipend
Monthly productivity stipend
Monthly AI-tools budget
Equity

Job summary

Raydar is seeking an engineer to lead customer-facing computer vision deployments from proof of concept to production. The role requires embedding on-site with clients to build technical systems, configure data pipelines, and optimize edge-hardware performance.

Ideal candidates have 1–8 years of experience in forward deployed or solutions engineering, strong Python and systems‑level skills, and the ability to travel 40–50% of the time.

Qualifications

  • 1–8 years of experience in forward deployed or solutions engineering.
  • Proficiency in Python and systems-level skills; travel 40–50% mandatory.

Responsibilities

  • Lead customer-facing computer vision deployments from proof of concept to production.
  • Embed on-site with clients to build technical systems and optimize edge hardware performance.
  • Configure data pipelines and ensure robust deployment pipelines.
  • Collaborate with cross-functional teams to ensure successful delivery.

Skills

Python
Docker
Kubernetes
Linux
Computer Vision
MLOps
Edge Computing
NVIDIA Jetson
Solutions Architecture
Field Engineering
Data Pipelines
Networking
Industrial Cameras
Robotics
IoT
Customer Deployment

Education

Bachelor's degree in a technical field

Tools

Docker
Kubernetes

Job description

The engineer will lead customer‑facing computer vision deployments from proof of concept to production operation. This involves embedding on‑site with clients to build technical systems, configure data pipelines, and optimize edge‑hardware performance.

Requirements

Requires 1 to 8 years of experience in forward deployed or solutions engineering with strong Python and systems‑level skills (Docker, Kubernetes). A bachelor's degree in a technical field and the ability to travel 40-50% of the time are mandatory.

Key Skills
  • Python
  • Docker
  • Kubernetes
  • Linux
  • Computer Vision
  • MLOps
  • Edge Computing
  • NVIDIA Jetson
  • Solutions Architecture
  • Field Engineering
  • Data Pipelines
  • Networking
  • Industrial Cameras
  • Robotics
  • IoT
  • Customer Deployment
Benefits
  • Full family health‑insurance coverage
  • Annual travel stipend
  • Monthly productivity stipend
  • Monthly AI‑tools budget
  • Equity
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