What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 1 to 8 years in forward deployed engineering field engineering solutions architecture or similar customer-facing role
- Proven ownership of a full customer-facing technical deployment from build to production maintenance
- Strong Python software engineering skills and experience shipping production systems
- Hands-on experience with Docker Kubernetes networking and Linux
- Experience with computer vision MLOps edge computing robotics automation industrial software IoT or related physical systems
- Ability to communicate and build trust with executives engineers and front-line operators
- Highly motivated coachable low-ego eager to learn responsive to feedback and collaborative
- Comfort working independently in ambiguous field environments with strong follow-through
- Willingness and ability to travel 40% to 50% for customer deployments
- Bachelor's degree in computer science engineering or related technical field
- Unrestricted authorization to work in the United States
Nice to have
- Manufacturing experience
- Logistics experience
- Automotive experience
- Robotics experience
- NVIDIA Jetson experience
- Industrial cameras
- Model monitoring
- Retraining pipelines
- Hands-on projects
Day to day
- Own customer-facing technical deployments from initial build through production adoption and maintenance
- Embed on-site with strategic customers to turn validated proofs of concept into reliable production systems
- Build and configure data pipelines edge devices computer vision models and supporting infrastructure in challenging physical environments
- Write production-grade Python and troubleshoot lighting variability camera calibration model drift networking and edge-hardware constraints
- Collaborate with executives engineers and floor operators while documenting architectures runbooks and deployment handoffs