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As a Senior AI Systems Performance Engineer, optimize and scale foundation models, enhance performance across various system layers, and deliver high-performance AI applications.

The Principal Engineer will lead post-silicon validation and debugging of high-speed IO and memory subsystems, ensuring performance and reliability for AI compute platforms.

The Process/Quality Engineer will enhance manufacturing processes, ensure product quality, and drive compliance while collaborating with cross-functional teams to support new product launches and continuous improvement initiatives.

Responsible for post-silicon validation, debug, and validation of high-speed IO and memory subsystems to ensure reliable AI systems. Lead efforts in debugging, product validation, and development of tools for automation.

Own and develop Cadence-based RTL-to-GDS physical design flows for RDU chips. Maintain and enhance Genus/Innovus/Cerebrus toolflows, script automation (TCL/Perl/Python), collaborate with physical designers and tool vendors, and ensure compliance with advanced TSMC node design rules (3nm and below).

SambaNova is hiring a Finance/Global Accountant based in India. The posting provides company and benefits information but does not list specific accounting responsibilities or deliverables.

As a Cloud Site Reliability Engineer, you will ensure the reliability, performance, and scalability of AI inferencing services, participate in on-call rotations, manage cloud infrastructure, and automate CI/CD processes while collaborating on incident management and capacity planning.

Embed with enterprise customers to design, build, and deploy production generative AI applications on SambaNova hardware and SambaStack. Architect LLM workflows (RAG, agents, fine-tuning), optimize inference performance, troubleshoot across model/software/hardware layers, translate field needs to product teams, support technical sales and POCs, develop reusable reference architectures, and present results to customers and internal stakeholders.

Embed with enterprise customers to design, build, and deploy production GenAI applications on SambaNova hardware and SambaStack. Architect LLM workflows (RAG, agents, fine-tuning), optimize inference performance, troubleshoot across model/software/hardware layers, drive product feedback, support sales evaluations/POCs, and create reusable reference architectures and playbooks.

Bring up and optimize foundation models (LLMs and multimodal) on the SambaNova platform. Profile and analyze execution to find bottlenecks across model, compiler, runtime, and hardware layers. Implement optimizations for throughput, latency, memory, and scalability and build tools and benchmarks for large-scale inference.