Jobs at SambaNova Systems

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.

You will enhance the performance and reliability of SambaNova's AI inference platform, collaborating with teams to develop and maintain backend components in Python, Go, and Rust, while building testing frameworks.

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.

As a Software Architect, you will define the SambaStack platform's technical direction, ensure system scalability, and resolve architectural challenges while mentoring engineers.

Lead development and optimization of the compiler stack for ML systems, collaborate across teams, integrate and deploy products, map ML operations to hardware, and drive compiler infrastructure innovation and performance debugging.

The role involves leading a software engineering team focused on AI infrastructure and enterprise software, ensuring technical quality and team development while also contributing as a hands-on engineer.

The Supply Chain Specialist manages inventory, tracks supply demand, issues POs, and collaborates with manufacturing partners to support operations and ensure product delivery.

Own reliability, performance, and scalability of a cloud AI inferencing service. Participate in shared on-call rotation, build monitoring/alerting, implement IaC, automate CI/CD, optimize performance and capacity, define SLOs/SLIs, and support multi-region deployments (cloud and on-prem).

Design and define hyperscale AI compute network architectures. Translate customer and workload needs into scalable, cost‑optimized network and compute product requirements. Lead cross-functional integration, fabric design (InfiniBand/RoCE/Ethernet), lossless Ethernet tuning, high‑speed optics/cabling decisions, lifecycle operations, and deployment strategies for large AI clusters.

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.

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.