Jobs at SambaNova Systems

Own and operate a global AI inferencing platform: ensure uptime, low-latency performance, scalability and cost efficiency. Build monitoring, alerting, CI/CD, IaC, autoscaling, capacity planning, incident response, and participate in a shared on-call rotation to maintain 24/7 service reliability.

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.

Lead technical accounting and general ledger functions, own US GAAP policy and close process, advise on complex transactions (revenue, leases, equity, M&A), manage SOX controls and external audits, drive process automation, and build a scalable accounting team while partnering with Finance, Legal, Tax, and business stakeholders.

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.

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

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.

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.

Create technical messaging, demos, collateral, and enablement for AI infrastructure and inference use cases. Translate hardware and architecture details into customer- and field-facing materials, support launches and benchmarking, and partner with product, engineering, sales, and field teams to refine positioning and technical proof points.

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.

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.

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).