SBT is the exclusive executive recruiting firm for this confidential position.
This innovative startup is on a mission to make AI more accessible through cutting-edge software and hardware solutions. Joining our team means taking a front-row seat in shaping AI strategy and spearheading the development of advanced software for semiconductor accelerators. As a Lead Engineer for Compiler Optimization, you will oversee the entire AI technology stack, driving the creation of software that meets outstanding performance and efficiency standards.
Key Responsibilities Compiler Optimization Strategy & Development - Craft and implement the strategic roadmap for compiler optimization by identifying pivotal technology trends and challenges within the semiconductor industry.
- Lead the research and design of AI-driven compiler technologies to enhance performance, power efficiency, and area optimization for our semiconductor products.
- Collaborate with architecture, design, and software engineering teams to seamlessly integrate compiler AI solutions into the product development pipeline.
Hardware and Software Co-Development - Encourage collaboration among hardware and software engineering teams to achieve seamless integration and optimization of compiler AI solutions with semiconductor designs.
- Establish co-design methodologies and workflows that facilitate close cooperation between hardware and software groups.
- Lead initiatives for co-developing hardware and software prototypes, proof-of-concepts, and reference designs that demonstrate the capabilities and advantages of AI-driven compiler technologies in real-world semiconductor applications.
Qualifications - Advanced degree (Ph.D. preferred) in Computer Science, Electrical Engineering, or a related discipline.
- Proficient knowledge and experience with PyTorch is critical.
- Experience in leading and building teams of compiler engineers for Machine Learning applications.
- In-depth understanding of machine learning, deep learning, compilers, and relevant AI algorithms.
- A passion for innovation and a strong commitment to developing AI ethically and responsibly.
- Demonstrated ability to build and manage high-performing technical teams.
Relevant current or past companies for this role include: AMD, Intel, Qualcomm, Cisco, Juniper, IBM, Google, Nvidia, Apple, Synopsys, Cadence, Meta, HPE, Broadcom, or other hardware-software/AI startups.