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Designs high-performance SoC and RTL components for AI chips using Verilog/VHDL, optimizing for power, performance, and area while collaborating across teams.
A Machine Learning Research Engineer working on LLM training, inference optimization, and large-scale distributed compute for Tenstorrent's custom AI accelerators, using Python, PyTorch, and techniques like speculative decoding and distributed training.
Software engineer writing low-level C/C++ kernels to optimize ML workloads on Tenstorrent's RISC-V AI hardware, tuning instruction-level performance for latency, memory, and bandwidth.
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.
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.
Senior Program Manager and Chief of Staff supporting Tenstorrent's CVP of Operations by driving cross-functional AI and semiconductor initiatives, aligning teams, and executing high-priority programs in a hybrid role.
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.
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.
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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