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As an ML processor bring-up and validation engineer, you will develop post-silicon test plans, validate ML processors and systems, debug performance bottlenecks, and automate verification processes while collaborating on architecture. Your role involves tuning models and systems for machine learning applications with a focus on power efficiency.
This role involves developing and maintaining system firmware for embedded devices and systems, executing ML processor validation, collaborating with partners on firmware requirements, and establishing CI/CD pipelines. The position also includes debugging issues across all product life cycle phases and code review for mentorship.
The SoC Chiplet Design Lead will lead the design and development of SoC architectures, overseeing RTL design and SoC verification while collaborating with cross-functional teams. Responsibilities include conducting design reviews, managing external vendors, mentoring junior engineers, and ensuring projects are completed on time.
As a Senior Staff Technical Program Manager, you will manage cross-functional teams, driving the end-to-end execution of complex programs related to high-performance products such as PCIe cards and multi-chip server systems. Responsibilities include defining project objectives, managing schedules, assessing risks, ensuring effective communication, and maintaining proper documentation for various stakeholders.
As a Sr. Staff RTL Design Engineer, you will optimize AI IP through architectural improvements, conduct RTL design experiments, enhance design tools, and collaborate with teams to improve performance, power, and area efficiency.
Seeking a Sr. Software Engineer with expertise in compilers and semiconductor technology to design, develop, and optimize compilers for cutting-edge semiconductor products. Responsibilities include developing machine learning graph compiler, optimizing performance of machine learning applications, integrating software into machine learning frameworks, and collaborating with machine learning engineers.
Design, develop, and optimize system software for RISC-V-based AI and ML systems. Collaborate with cross-functional teams to define software requirements and specifications. Contribute to AI/ML workload optimization and troubleshoot software and system-level issues.
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