Remote Senior CV Engineer: Edge-to-Cloud ML SDKs

Svitla Systems, Inc.; Town of Poland (NY); On-site; USD 64,000 - 97,000; Full time

Benefits offered by this job

Remote or Office

Competitive compensation

Learning programs

Tech webinars and meetups

Generous time off

Job summary

Svitla Systems, Inc. is seeking a Senior Computer Vision Engineer for a full-time role based in Poland with flexible remote options. You will bridge ML research and production, building robust SDKs and automating deployment across edge and cloud hardware.

Responsibilities include porting models to Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs, optimizing throughput, and implementing CI/CD pipelines in Python to streamline validation and deployment.

Qualifications

• Bachelor's or master's degree in Computer Science, Electronic Engineering, or related technical field.
• Deep understanding of C++14/17/20, including STL, memory management, and multi-threading.
• Expertise in writing clean Python for automation and data processing.
• Hands-on experience with SNPE/QNN, TensorRT, or TensorFlow Lite.
• Familiarity with Docker for consistent development and deployment environments.

Responsibilities

• Design, develop, and maintain high-performance SDKs to expose computer vision capabilities.
• Port, convert, and deploy ML models across hardware targets (Qualcomm SoCs, Intel CPUs, NVIDIA GPUs).
• Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy.
• Conduct rigorous testing and evaluation of models on target hardware.
• Build and maintain automation scripts and CI/CD pipelines in Python to streamline testing and deployment.

Skills

C++14/17/20

STL

Memory management

Multithreading

Python

Education

Bachelor's or master's degree in Computer Science or related field

Tools

SNPE/QNN

TensorRT

TensorFlow Lite

Docker

Job description

Svitla Systems, Inc. is seeking a Senior Computer Vision Engineer for a full-time role based in Poland with flexible remote options. You will bridge ML research and production, building robust SDKs and automating deployment across edge and cloud hardware.

Responsibilities include porting models to Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs, optimizing throughput, and implementing CI/CD pipelines in Python to streamline validation and deployment.