Currently tracking 22 active AI roles, down 42% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$500k (avg $300k).
Tenstorrent currently has 27 active AI-related job listings, with a significant majority, 81%, focused on serving infrastructure. Engineering roles comprise all of their AI hiring. The company is primarily hiring in the United States and Canada. Frequent technical tags include model_serving, inference_infra, and agent_orchestration, suggesting a focus on AI model deployment and management. In the last 30 days, Tenstorrent has not posted any new AI roles, representing a 100% decrease compared to the previous 30-day period.
Tenstorrent currently has 25 active AI-related roles in our index. The most common open titles are: Sr. Engineer, Software - AI Compiler (2), AI/ML Physical Design Flow Engineer, C++ Machine Learning Engineer, Models Training, Design Verification Lead, AI Hardware , Infrastructure and Platform Development Engineer. Most positions are in Engineering and Research.
Tenstorrent's active AI hiring is concentrated in: serving infrastructure (80%), agents (8%), application (4%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Tenstorrent is hiring AI talent in: United States (10 roles), Canada (8 roles), Serbia (4 roles), Poland (2 roles).
Job postings at Tenstorrent most frequently reference: inference infra, model serving, fine tuning, agent orchestration, vision.
In the past 30 days, Tenstorrent has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| RISC-V AI / HPC & Agentic Software Engineering Lead Lead engineering efforts for RISC-V CPUs optimized for AI, HPC, and agentic systems, focusing on integrating and optimizing low-level kernels and leading the bring-up of a RISC-V-native agentic AI software stack, including runtime orchestration and distributed execution frameworks. | AgentServe | 9 |
| Sr. Engineer, Software - AI Compiler Software Engineer role focused on developing and optimizing an MLIR-based AI compiler (TT-Forge) to run AI models efficiently on Tenstorrent hardware. Involves optimizing computational graphs, creating custom dialects, and transformation passes, with a focus on training and multi-chip scaling. | Serve |
| 8 |
| C++ Machine Learning Engineer, AI Models Training C++ Machine Learning Engineer focused on extending and optimizing the ML training framework for custom silicon, debugging model performance, and supporting production integration. | Data | 8 |
| AI/ML Physical Design Flow Engineer The role involves architecting, integrating, and deploying AI/ML-driven solutions into production physical design flows for advanced semiconductor nodes. This includes creating custom CAD tools and optimizing EDA tools using data-driven and ML-based techniques to improve PPA and runtime. The engineer will also develop and enhance RTL-to-GDS methodologies. | Serve | 7 |
| Software Engineer, Metal Runtime (Core Systems) Software Engineer on the Metal Runtime team working on low-level software for AI accelerators, focusing on scheduling, memory movement, and efficient execution across parallel processors. The role involves building and optimizing high-performance runtime systems close to the hardware. | Serve | 7 |
| Power Architect, AI Data Center Chiplets The role focuses on optimizing the energy efficiency of RISC-V based CPUs and AI Data Centers for Tenstorrent, a company at the forefront of AI technology. The Power Architect will be responsible for power management, SoC power architecture, power delivery networks, thermal analysis, and performance trade-offs, with a specific emphasis on analyzing AI and ML workloads for performance and efficiency. This is a hybrid role based in Santa Clara, CA, with opportunities for growth and impact in the AI hardware design space. | Serve | 7 |
| Software Engineer, AI Compiler Software Engineer role focused on developing and scaling an MLIR-based AI compiler (TT-Forge) for Tenstorrent, involving graph transformations, lowering passes, and kernel optimizations to support both training and inference on custom chip architectures. | Serve | 7 |
| Software Engineer, TT-Distributed Software Engineer role focused on developing and optimizing distributed software systems for AI and HPC clusters, specifically for distributed inference and training infrastructure. Requires strong C/C++ systems programming, distributed computing principles, and experience with MPI-based technologies. | ServeData | 7 |
| Software Engineer, TT-Fabric Software Engineer role focused on building and optimizing TT-Fabric, a low-level networking library for Tenstorrent's AI compute clusters. The role involves architecting, implementing, and maintaining the networking layer that connects thousands of AI processors for distributed training and inference, optimizing protocols and data movement for maximum hardware performance. | Serve | 7 |
| Design Verification Lead, AI Hardware Lead a team of Verification Engineers to validate the functionality and performance of next-generation AI hardware, focusing on AI-specific data types, compute patterns, and on-chip network validation. | Serve | 7 |