Jobs at SambaNova Systems

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.

Own post-sales relationships for enterprise accounts, guide onboarding to full-scale AI deployment, build tailored success plans, monitor adoption, mitigate churn, drive upsell/cross-sell, deliver executive business reviews, and relay customer feedback to Product and Engineering.

Serve as the primary post-sales partner for enterprise accounts, leading onboarding, adoption monitoring, mitigation of churn risk, and expansion. Build tailored success plans, coordinate cross-functional delivery, deliver executive business reviews, drive upsell/cross-sell, and relay customer feedback to Product and Engineering.

The Principal Compiler Engineer will lead compiler engineering, optimizing ML model performance and coordinating with development teams to innovate compiler infrastructure.

As a Senior Cloud SRE, you'll ensure the reliability and performance of our AI inferencing service, handle incident management, and optimize cloud infrastructure and resource utilization.

The ML Features Solutions Engineer will develop, optimize, and deploy core machine learning features for enterprise applications while collaborating with cross-functional teams to ensure production-grade quality and performance.

Define and own networking architecture for next-generation super-pod ML hardware. Lead R&D, specify high-performance networking fabrics, drive ML networking roadmap, collaborate cross-functionally across silicon, systems, and software, contribute to industry standards, and deliver performant, reliable, and secure interconnect solutions at scale.

The Technical Program Manager will lead software programs, collaborate with multiple teams, manage dependencies, and drive product delivery to improve engineering velocity and transparency.

Drive planning and execution of multiple software and ML workstreams, manage cross-functional dependencies, gather requirements, track schedules, support development-to-deployment, and improve processes to deliver customer product releases.

Develop and enhance runtime stack features for high performance ML applications, manage system software, and collaborate with teams to optimize AI systems.

Own AI Cloud strategy and roadmap to showcase hardware advantages, define served models and pricing/tokenomics, write technical PRDs, drive cloud features for enterprise inference, incubate solution architectures, and align product with sales and partner motions to accelerate deals.