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Maintain and troubleshoot cutting-edge AI hardware systems in R&D labs and data centers, supporting servers, PCIe devices, and prototype platforms for next-gen compute.
CPU Performance Modeling Architect at Tenstorrent building performance models to guide architectural decisions for next-generation RISC-V CPUs optimized for AI and HPC workloads, using tools like Gem5/SST and C++/Python.
Field Application Engineer who collaborates with sales and enterprise customers to drive adoption of AI/ML hardware-software solutions, bridging technical expertise with customer-facing communication.
Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify…
Designs high-speed, multi-layer PCBs for AI CPUs, focusing on PCIe cards and server/desktop boards with tools like Allegro or Altium.
Build and operate CI/CD infrastructure and observability platforms for AI hardware and software development, diagnosing complex hardware/software issues.
Define next-gen chiplet-based CPU architectures for high-performance RISC-V systems, owning PCIe, die-to-die links, and system management while collaborating with hardware, software, and IP partners.
Build TT-Fabric, a low-level networking layer that ties thousands of RISC-V and AI processors into a single massively parallel supercomputer for AI workloads.
Manages the transition of custom AI hardware from development to manufacturing, coordinating engineering, supply chain, and global partners to meet quality and schedule targets.
Designs and optimizes high-performance RTL for AI hardware, focusing on micro-architectures, power efficiency, and performance in a hybrid Belgrade office.
Staff Software Engineer designs and maintains cloud infrastructure and SRE practices for AI platforms, using Python, Ansible, Kubernetes, and observability tools like Prometheus and Grafana.
Leads AI-driven program execution by turning fragmented data into decisions, automating workflows, and building agentic solutions for a cutting-edge AI hardware and software company.
Designs, deploys, and maintains the high-performance data center network backbone for Tenstorrent's global AI compute infrastructure, using modern leaf-spine architectures and automation tools.
Designs and routes high-speed, multi-layer PCBs for AI and high-performance computing hardware, using Cadence Allegro and collaborating with cross-functional teams to meet strict signal integrity and manufacturing requirements.
Design Verification Engineer builds and runs tests for AI-native compute cores and RISC-V CPUs using SystemVerilog, Python, and CI pipelines to ensure hardware correctness before tape-out.
Build and own RTL-to-GDSII flows for AI accelerators and CPUs, automating PPA exploration and signoff to speed IP delivery across nodes and variants.
Build and deploy AI inference systems with customers, writing production code and debugging across the full stack from requests to kernel dispatch.
Own Tenstorrent’s unified developer platform: firmware, system software, packaging, and updates, delivered via a single CLI that spans bare-metal bring-up to production model serving.
Project Manager leads Tenstorrent’s ERP implementation, coordinating cross-functional teams to deliver on-time, on-budget milestones using tools like Jira and AI-powered documentation.
Owns end-to-end physical design of AI accelerator IP blocks, from synthesis to GDSII signoff, ensuring PPA targets and customer timelines are met.
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