Job Description

FlexAI is a company building universal AI compute, aiming to simplify AI workload management across diverse hardware architectures. Their FlexAI Cloud Services offer on-demand access to seamless, reliable, and efficient AI infrastructure. They emphasize workload and energy efficiency through resource optimization, leading to accurate prediction of workload completion times and reduced energy waste. The company is partnered with major players in the tech industry, including Nvidia, AMD, Intel, Google Cloud, AWS, and others. They have open job positions across various engineering and other roles in Paris, San Francisco, and Bangalore. 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. Integrate workloads and the FlexAI software stack on top of architectural models. Conduct performance analysis and profiling of architectural models. 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 sessions. Lead front-end development. Choose the technical stack. Collaborate across teams. Fullstack responsibilities. 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 software 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. FlexAI provides on-demand AI compute services, simplifying AI workload management across various hardware architectures with a focus on efficiency and reliability. 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. #J-18808-Ljbffr AI Tech Suite

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