AI Software Architect (M/K)

Experis; Polska; Sur place; PLN 200 000 - 320 000; Plein temps

Résumé du poste

Experis is seeking a Software Architect to define and evolve the software foundations of a next-generation AI compute platform. The role interfaces with deep learning frameworks and collaborates with hardware teams to shape future product capabilities.

You will lead programming model development, design interfaces to external frameworks, and provide architectural guidance across software teams to ensure scalability, performance, and maintainability. The offer applies to permanent work.

Qualifications

• Strong background in systems architecture, software architecture, or compiler development.
• Experience designing software interfaces for AI hardware platforms or accelerators.
• Familiarity with external frameworks used in deep learning and AI inference.
• Proficiency in C/C++, Python.
• Excellent communication and collaboration skills.

Responsabilités

• Programming Model Development: define and implement the programming model for AI workloads.
• Framework Interfacing: design interfaces to connect internal systems with external/open-source DL frameworks.
• Cross-Functional Collaboration: align software with evolving hardware features.
• Technical Leadership: provide architectural guidance across software teams for scalability and performance.
• Strategic Input: identify software-driven opportunities for future hardware enhancements.

Connaissances

Systems architecture

Software architecture

Compiler development

AI framework interfaces

C/C++

Python

Communication

Description du poste

For our client we are looking for a candidate for the position of Software Architect to help define and evolve the software foundations of a next-generation AI compute platform. This role involves designing software systems that interface seamlessly with deep learning frameworks and collaborating closely with hardware teams to shape future product capabilities.

Key Responsibilities

• Programming Model Development: define and implement the programming model that enables developers to efficiently utilize our compute platform for AI workloads
• Framework Interfacing: design and maintain software interfaces that connect our internal systems with widely used external and open-source deep learning frameworks
• Cross-Functional Collaboration: work closely with hardware architecture and design teams to align software capabilities with evolving hardware features
• Technical Leadership: provide architectural guidance across software teams, ensuring scalability, maintainability, and performance
• Strategic Input: contribute to long-term planning by identifying software-driven opportunities for future hardware enhancements

Qualifications

• Strong background in systems architecture, software architecture, or compiler development
• Experience designing software interfaces for AI hardware platforms or accelerators
• Familiarity with external frameworks used in deep learning and AI inference
• Proficiency in C/C++, Python
• Excellent communication and collaboration skills

Preferred Experience

• Prior experience with custom hardware platforms or embedded systems
• Experience in integrating software with open-source AI frameworks
• Familiarity with performance optimization for deep learning workloads

The offer applies to permanent work.