SambaNova Systems
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The Lead Architect, SoC will design and architect memory performance and solutions, defining the NoC and memory subsystem architecture. This role includes collaborating with various teams, executing subsystem designs, enhancing ML model performance, and mentoring junior engineers.
The Principal Software Engineer for Runtime will focus on developing high-performance infrastructure for AI and machine learning applications, including OS integration, data model manipulation, and supporting communication. Responsibilities include enhancing system software and collaborating across teams to optimize performance at scale.
SambaNova Systems is seeking recent graduates or upcoming graduates for full-time software engineering positions. Responsibilities include working with generative AI technologies and contributing to the SambaNova Suite. Candidates should possess skills in areas such as tooling, system software, machine learning, or computer architecture.
The Principal Software Engineer will drive the software development lifecycle for SambaNova Suite, ensuring high-quality feature delivery, focusing on performance, scalability, and reliability. Responsibilities include creating automated tests, participating in Agile processes, collaborating on designing and enhancing existing software, and mentoring junior engineers.
The role involves designing, testing, and validating hardware components for system-level projects, conducting hands-on lab work using various test equipment, participating in board design tasks, and collaborating with the AI chip team on hardware and software systems.
The Simulation Engineer will develop and optimize simulation infrastructure for hardware-software performance, create parallel runtime systems, and analyze system behavior. Responsibilities include modeling hardware and system performance, ensuring functional verification, and developing skills across hardware and software domains.
The Software Engineer will work on the SambaNova Suite, a generative AI platform. Responsibilities include developing system software, machine learning applications, compilers, and hardware/software co-design to enhance AI capabilities for enterprise clients.
As a VLSI Hardware Engineer, you will work on various aspects such as RTL design, verification, circuits, and physical composition. The role involves collaborating on projects related to power, physical design, thermal/package management, and post-silicon validation within the spectrum of VLSI architecture, contributing to generative AI technologies.
The Senior Software Engineer will work on SambaNova Suite, focusing on generative AI applications including system software, machine learning, compilers, and hardware/software co-design. The role suits recent PhD graduates and offers opportunities in both on-premises and cloud environments.
The PhD/Senior VLSI Hardware Engineer will work within various domains such as Power, Physical Design, Post-Silicon Validation, and Thermal/Packaging. Responsibilities include working on RTL, Verification, Circuits, and Physical Composition in hardware engineering.
The Senior Software Engineer, AI Systems will work on transforming AI research into customer solutions by collaborating with cross-functional teams. Responsibilities include enabling new ML applications, setting robust technical capabilities, and working on AI system architecture for performance and scalability.
The Principal AI Solutions Software Engineer will develop robust AI solutions, integrating model architectures and performance technologies, enabling model training and inference. This role involves collaborating with engineering teams on diverse data types, ensuring efficient deployment for customer-centric applications.