Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related technical field

Experience Requirements:

• 8+ years of experience in architectural modeling or simulation platforms, preferably with experience in AI or high-performance computing projects

Other Requirements:

• Strong understanding of system-level challenges in AI compute systems, including network bandwidth, memory, and thermal considerations

• Proficiency in C and C++ for high-performance SW development and Python for handling machine learning workloads and related tasks

• Hands-on experience in performance analysis, profiling tools, and model validation techniques

• Strong analytical and problem-solving skills

• Excellent collaboration and communication skills

• Provide technical leadership and mentorship to junior software engineers

• Entrepreneurial mindset, adaptable to fast-paced, dynamic environments

Responsibilities:

• Design and develop architectural models for FlexAI's purpose-built AI compute systems

• Collaborate with hardware and software teams to define model requirements and design constraints

• Optimize architectural models for efficient execution

• Integrate workloads and the FlexAI software stack on top of architectural models

• Conduct performance analysis and profiling of architectural models

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Electrical Engineering, or a related field

Experience Requirements:

• Proven experience as an AI Compiler Engineer, preferably in within the PyTorch ecosystem

Other Requirements:

• Demonstrated experience in compiler optimizations and principles

• Solid understanding of machine learning and deep learning concepts

• Proficiency in programming languages such as C, C++, Python, Go or Rust

• Experience with compiler optimization techniques and code generation for AI workloads

• Experience with compiler frameworks is highly desirable (LLVM, MLIR, TVM, etc)

• Experience with hardware / software co-design

• Knowledge of parallel computing architectures and vectorization

• Strong analytical and problem-solving skills

• Excellent collaboration and communication skills

• Excellent oral and written communication skills in English

• Entrepreneur & start-up mindset

Responsibilities:

• Develop and optimize AI compiler techniques for improving the performance of deep learning/LLM models

• Define and build the infrastructure to measure and track compiler performance

• Collaborate with fellow engineers to design, develop, and debug AI models, tools, and libraries

• Contribute to the company's research and development efforts

• Participate in performance analysis, tuning, and debugging session

Benefits:

• Competitive salary and benefits package

• Opportunity to collaborate with leading experts

• Environment that values innovation, collaboration, and mutual respect

• Support for personal and professional development

• Pivotal role in the AI revolution

Education Requirements:

• Bachelor's or higher degree in Computer Science, Software Engineering, or a related field

Experience Requirements:

• 8+ years of experience as software engineer

Other Requirements:

• Expertise in front-end development using modern frameworks and technologies such as React, Vue.js, or Angular

• Strong understanding of UI/UX principles

• Proficiency in HTML, CSS, JavaScript/TypeScript, and other front-end tools

• Familiarity with backend development (Go, Python, Node.js, etc.) and fullstack environments

• Ability to take ownership of projects, make technical decisions

• Experience working in agile development teams

Responsibilities:

• Lead front-end development

• Choose the technical stack

• Collaborate across teams

• Fullstack responsibilities

• Maintain best practices