Senior C++ Engineer with Computer Vision

Svitla Systems; United States; Hybrid; USD 67,000 - 135,000; Full time

Benefits offered by this job

Remote or office work

Competitive compensation

Bonuses for speaking engagements

Generous time off

Learning programs

Tech webinars and meetups

Team-oriented culture

Job summary

Svitla Systems seeks a Senior C++ Engineer with computer vision expertise to bridge ML research and production. You will build robust SDKs, deploy models across edge to cloud GPUs, and automate pipelines in Python.

Porting ML models to Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs, while optimizing performance with hardware toolkits is required. Collaboration across teams is essential.

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, maintainable Python for automation and data processing.
• Hands-on experience with SNPE/QNN, OpenVino, TensorRT, or TensorFlow Lite.
• Familiarity with Docker for creating 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 various 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 to ensure performance.
• 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 automation

Docker

ML frameworks

Education

Bachelor's or Master's in CS/EE

Tools

Docker

Job description

Svitla Systems Inc. is looking for a Senior C++ Engineer with Computer Vision for a full-time position (40 hours per week) in Europe. Our client is an American mobile computing company. You will bridge the gap between high-level machine learning research and high-performance production environments. Also, you will be responsible for building robust SDKs, automating deployment pipelines, and ensuring the models run efficiently across a diverse hardware landscape, from edge SoCs to powerful cloud GPUs.

Requirements

• 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, maintainable Python for automation and data processing.
• Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm); OpenVino (Intel); TensorRT (NVIDIA); TensorFlow Lite.
• Familiarity with Docker for creating consistent development and deployment environments.

Nice to have

• Understanding of deep learning fundamentals (CNNs, Transformers, Object Detection).
• Knowledge of model conversion and quantization (i.e., PTQ, QAT).

Responsibilities

• Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end users and internal products.
• Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs.
• Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy.
• Conduct rigorous testing and evaluation of models on target hardware to ensure performance metrics meet expectations.
• Build and maintain automation scripts and CI/CD pipelines in Python to streamline the model testing and deployment lifecycle.

We offer

• US and EU projects based on advanced technologies.
• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalized learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organized by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!