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Co-op Software Engineer - AI Advancement

Burnaby, BC
Mid Level
internship

About the role

This is a 8 months' Full-time. Co-op employment opportunity starting Jan 2026.

This position is open for Burnaby office. To apply, please fill out the application form and include a copy of your transcript in your application.

Please note: Application without a transcript will NOT be considered.

About NETINT Technologies Inc.

NETINT Technologies is a pioneer of computational storage and video processing SoC solutions for cloud and edge computing. Its Codensity portfolio enables enterprise, cloud data centers, and content providers to deploy high-performance applications that they can scale without limit while minimizing their data storage and video processing costs. NETINT, founded by an experienced team of storage SoC veterans, is a Canadian venture-funded startup with R&D facilities in Vancouver, Toronto, and Shanghai, China. For more information, visit www.netint.ca.

Job Scope

As an AI Advancement Development co-op engineer, you are responsible for developing advanced machine learning and generative AI technology to enhance our company’s opportunities in both internal productivity and new product features. You are detail oriented in developing and deploying key infrastructure and training for the use of generative technologies inside the company. Responsibilities for this position include developing key infrastructure including functions that link with generative AI tools, learned compression technology and models, training and central generative AI tools for the company.

Responsibilities

  • Develop Python functions to consolidate internal data sources

  • Use OpenAI, Anthropic and Openrouter API to link internal models

  • Use open source AI libraries to enhance internal productivity

  • Develop tools that support generative AI development using generative programming tools like Claude Code and Cursor

  • Develop infrastructure to test and train state of the art learned compression models

  • Develop internal training presentation on tool and model usage

  • Work with senior engineers to understand their core needs and implement tools to improve efficiency

Qualifications

  • Second year or higher BS or MS in Computer Science, Engineering or equivalent

  • Experience with Python a must

  • Experience using the Linux development environment

  • Hands-on experience using OpenAI API, Anthropic API, tools including advanced open source AI models

  • Demonstration of initiative in the implementation of generative AI tools

  • Development of presentations that teach others interesting topics

  • An aptitude for working in uncertainty, pathfinding and exploring a new space

  • an understanding of neural network model testing and training

  • An understanding of generative AI models, their strengths and weaknesses

  • Experience in implementing front-end and back-end web implementations

  • Familiarity and experience with git

Highly Desirable Skills

  • Experience implementing and training neural network designs

  • Familiar with generative AI programming infrastructure such as Cursor and Claude Code

  • Deep understanding of the structure of generative AI models

We thank you for your interest, however, only candidates selected for an interview will be contacted.

Acknowledgment and Agreement

NETINT Technologies Inc. is an equal opportunity employer and strives to ensure that its hiring process meets the needs of all persons with disabilities. As such, NETINT will provide reasonable accommodation for any applicant, as requested during the hiring process.

About NETINT Technologies Inc.

Semiconductor Manufacturing
51-200

NETINT Technologies develops silicon solutions for ultra-high-density video encoding and processing in the data center. We are the creator of a new hardware encoder category, VPU (video processing unit), combining hardware efficiency with software flexibility and quality.

With NETINT VPUs, a 1RU server can encode or transcode 160 1080p60 AV1, H.264, or HEVC broadcast-quality live streams at a 90% lower TCO than software running on the CPU.

Use cases where VPUs are deployed include mobile cloud gaming, live game streaming, video conferencing, remote desktop, high-density social video streaming, live OTT streaming, and AR/VR services.

NETINT is a VC-backed company of silicon innovators passionate about building solutions that leave an indelible mark on the world. Our offices and R&D facilities are in Vancouver, Toronto, and Shanghai. With our compact ASIC-powered video transcoders and VPUs, video services, and streaming platforms can reduce TCO and upgrade density and performance by an order of magnitude without replacing servers.