Top Tech Jobs & Startup Jobs

Lead end-to-end design verification for a major RDU subsystem: define test plans, architect testbenches, build and close coverage models, develop block-to-gate-level tests, debug hard intermittent failures, drive regression health, support emulation/FPGA and silicon bring-up, and mentor engineers while improving DV methodology.

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.

Lead design, development, and optimization of large language models for SambaNova hardware (RDU). Drive hardware-software co-design, define ML strategy, improve training and inference efficiency, mentor senior engineers, and translate advanced ML techniques into scalable, customer-facing solutions across the product lifecycle.

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.

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).

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.

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.