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 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.

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.

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 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 Machine Learning Engineer at SambaNova will be responsible for enabling large language and multi-modal models on SambaNova hardware, staying updated with research, developing quality software, and working on projects end-to-end. Basic qualifications include a BS+ degree in engineering or science fields, 2-4 years of hands-on engineering experience in machine learning, proficiency in Python and/or C++, experience with deep learning frameworks, familiarity with SW engineering and productivity tools, and strong communication skills. Additional qualifications include a deep understanding of deep learning, experience in building and deploying ML models, and strong analytical and debugging skills. Preferred qualifications include experience in high-growth startups, teamwork abilities, action-oriented mindset, and innovation impact.

The Principal Platform Software Engineer will lead the technical evolution of the developer experience and enhance software development, testing, and deployment efficiency. They will work with cutting-edge public cloud technologies and build robust systems for software artifact management. The role requires expertise in distributed systems, cloud platforms, CI/CD, GitOps, and Linux.

The Senior Machine Learning Engineer at SambaNova is responsible for enabling large language and multi-modal models on SambaNova hardware, staying updated with cutting-edge research, maintaining quality software, and working on projects end-to-end. Requirements include a PhD in engineering or science fields, 2-4 years of hands-on ML engineering experience, proficiency in Python and/or C++, experience with deep learning frameworks, familiarity with software engineering practices, and strong analytical skills. Preferred qualifications include experience in a high-growth startup and being a team player with a focus on innovation.

As a Senior System Administrator / DevOps Infrastructure Engineer at SambaNova, you will drive the adoption of cutting-edge DevOps technologies, manage CI/CD infrastructure, orchestrate the on-premises data center environment, and support engineering teams in optimizing the compute environment.

Responsible for designing, developing, and maintaining OS-related system software for AI applications at scale. Collaboration with hardware engineers to ensure system-level performance and validation of silicon features. Experience with Linux OS, Kubernetes, system fault management, Ethernet, and I/O virtualization technologies required.

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 Lead Architect, Runtime will design and optimize a high-performance, distributed software runtime for advanced AI workloads. Responsibilities include architecting the runtime stack, overseeing hardware-software integration, driving technical strategy, and mentoring team members to ensure efficient and scalable software solutions.

The Director of Hardware Systems Engineering leads a team in the design and production of advanced AI hardware systems. Responsibilities include overseeing system design from concept to production, vendor selection, project management, and mentoring engineers. The role requires strategic planning to maintain industry competitiveness.

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.

The Senior Director of Product Marketing will create and execute a marketing strategy to drive product adoption and revenue growth in AI, develop product positioning and messaging, execute go-to-market planning, and collaborate closely with sales and customer success teams to maximize marketing impact.

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.