Tenstorrent
Semiconductors · RISC-V AI chip (Jim Keller)
- HQ
- Toronto, CA
- Founded
- 2016
- Website
- tenstorrent.com
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.
Semiconductors · RISC-V AI chip (Jim Keller)
Currently tracking 22 active AI roles, down 50% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $100k–$500k (avg $300k).
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 |
| C++ Machine Learning Engineer, Models Training C++ Machine Learning Engineer focused on optimizing and extending the ML training framework for custom AI silicon, debugging model performance, and collaborating with compiler and kernel teams. | Data |
| 9 |
| ML Engineer, AI Models ML Engineer focused on bringing up, validating, and optimizing AI models (LLMs, CNNs, recommendation, vision) on Tenstorrent's hardware and simulators. This role involves porting models into Tenstorrent toolchains, running experiments for accuracy/performance/stability, and debugging cross-stack issues with hardware, compiler, and runtime teams. | Serve | 8 |
| Performance Architect, AI HW Role focuses on analyzing and optimizing AI workloads on hardware architecture (Tensix) to improve performance, power, and area. Involves developing performance models, simulators, and collaborating with RTL, Compiler, and Runtime teams. Connects architecture, software, and RTL for next-gen AI systems. | Serve | 8 |
| Machine Learning Engineer, AI Models Machine Learning Engineer focused on bringing advanced LLMs and vision models to life on custom AI hardware, involving porting, tuning, and validating models for performance and efficiency. | ServePost-train | 8 |
| Sr. Machine Learning Engineer, ML Models Senior Machine Learning Engineer to bring up and optimize cutting-edge AI models on custom AI devices, focusing on performance tuning and optimization techniques. | ServePost-train | 8 |
| 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 |
| Sr. Engineer, Software - AI Compiler Sr. Engineer, Software - AI Compiler role at Tenstorrent focused on developing TT-Forge, an MLIR-based compiler for Tenstorrent hardware, optimizing AI models for training and inference. | Serve | 8 |
| Staff Technical Program Manager, AI Systems and IP Delivery Staff Technical Program Manager responsible for end-to-end delivery of AI model IP and supporting software (compiler outputs, runtime libraries, model artifacts, hardware collateral) into customer environments. This role involves defining release criteria, aligning cross-functional teams (hardware, compiler, runtime, kernel, legal), identifying and mitigating integration risks, and providing leadership visibility on deployment status. The role bridges customer requirements with engineering realities, focusing on AI systems and IP delivery at scale. | ShipServe | 7 |
| RISC-V AI / HPC & Agentic Software Engineer This role focuses on integrating and optimizing AI/HPC software stacks on RISC-V processors, specifically leading the bring-up of a RISC-V-native agentic AI software stack including runtime orchestration and distributed execution frameworks. The engineer will work closely with hardware architects and compiler engineers to align software capabilities with RISC-V features, operating at the hardware-software boundary. | AgentServe | 7 |
| AI Performance Simulation Architect The role focuses on architecting and building scalable cycle-accurate AI accelerator performance models to inform hardware design and optimization. This involves defining abstraction layers, leading performance modeling, and integrating models into larger simulation environments. | Serve | 7 |
| 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 |
| Sr. Engineer, Kernel Development and Optimization Sr. Engineer, Kernel Development and Optimization at Tenstorrent, focusing on designing, implementing, and optimizing performance-critical kernels for AI hardware, including matrix multiplication and attention primitives. The role involves host-side orchestration, parallelization, developing benchmarks and tests, and collaborating with compiler, runtime, ML, and hardware teams to integrate kernels into production systems. Experience with C++, low-level software, concurrency, and data-driven optimization is required. | Serve | 7 |
| Software Engineer, Kernel Development and Optimization Software Engineer focused on developing and optimizing performance-critical kernels for AI hardware, targeting ML and HPC workloads. This role involves C++ systems engineering, low-level optimization, and close collaboration with hardware and software teams. | 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 |
| Sr Engineer, Server Inference The role focuses on developing software for state-of-the-art AI inferencing on Tenstorrent's hardware, including designing APIs, deploying workloads, and benchmarking inference speed. It involves optimizing end-to-end ML inference on custom silicon and building scalable software interfaces. | 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 |
| Software Engineer, Scale Out Software Engineer focused on low-level systems software for AI hardware, optimizing infrastructure for large inference and training models. Requires strong C/C++ and Linux systems programming skills. | Serve | 7 |
| Software Engineer, Acceleration Kernel Development Software Engineer focused on optimizing low-level compute kernels for AI hardware, directly impacting ML workload performance and efficiency. | Serve | 7 |
| Sr. Software Engineer, AI Compiler Software Engineer role focused on developing and optimizing Tenstorrent's MLIR-based AI compiler (TT-Forge) to run AI models efficiently on Tenstorrent hardware. Responsibilities include optimizing computational graphs, creating custom dialects and transformation passes, and potentially developing human-in-the-loop tuning tools. | Serve | 7 |
| Director, RISC-V Software TPM & Ops Tenstorrent is seeking a Director, RISC-V Software TPM & Ops to act as a hybrid Chief of Staff and execution-focused TPM for the RISC-V software organization. This role involves defining team goals, creating executable plans, driving cross-functional initiatives, improving planning and execution, managing risks, supporting headcount planning and recruiting, and preparing materials for customer engagements. The ideal candidate is a senior operator with strategic thinking, strong execution skills, and the ability to drive complex technical initiatives in ambiguous environments. | — | 5 |
| Principal Technical Program Manager Tenstorrent is seeking an experienced Technical Program Manager to lead cross-functional product development efforts for their AI hardware and systems. The role involves driving complex programs from concept to execution, managing schedules, risks, and stakeholder communication. This is a hybrid role based in Santa Clara, CA, Austin, TX, or Fort Collins, CO. | — | 5 |
| Tech Recruiter - Contractor Contract Technical Recruiter to help scale engineering teams building AI compute. Role involves partnering with software engineering leaders to identify, attract, and hire talent across AI, machine learning, systems software, and related technical domains. This is a 12-month contract role based in Austin, TX. | — | 5 |
| Senior Embedded Engineer, AI IP Tenstorrent is seeking a Senior Embedded Engineer to create and optimize reference drivers for their AI IP in a reference system and support customer integrations. This role involves deep systems programming, C/C++, Linux kernel, and hardware-software interfaces, with a focus on performance engineering and enabling broader software stack compatibility. | — | 5 |
| Staff Infrastructure Engineer - Models Infrastructure Engineer focused on building and operating Kubernetes-native applications and services for large-scale AI workloads, including inference and training. The role involves developing operators, APIs, and automation to improve deployment, scaling, monitoring, and reliability of AI infrastructure. | Serve | 5 |
| Physical Design Engineer, PnR Tenstorrent is seeking a Physical Design Engineer to implement high-performance partitions for an AI SOC. The role involves owning the complete implementation flow from synthesis to tapeout, working with architects, RTL designers, and DFT engineers to resolve issues and ensure signoff. | — | 5 |
| Physical Design Engineer Physical Design Engineer to implement high-performance blocks for CPU and AI/ML architectures, owning the complete implementation flow from synthesis to tapeout. Requires expertise in SOC/ASIC physical design, synthesis, PnR, timing closure, and industry-standard tools. | — | 5 |
| IP Software Generalist Develop and optimize the software stack for AI and RISC-V hardware IP customers, including firmware, drivers, system tools, and APIs, ensuring seamless integration and customer experience. Partner with hardware, IP delivery, customer support, and product teams. | — | 5 |
| Staff Field Application Engineer, Customer Success Field Application Engineer role focused on customer success and driving adoption of Tenstorrent's AI products and solutions. Requires strong technical knowledge in AI/ML, customer-facing skills, and experience with AI technologies and frameworks, embedded systems, and AI accelerators. The role involves collaborating with sales and product teams, understanding customer challenges, and providing solutions. Experience with hardware/software co-optimization for edge inference is important. | — | 5 |
| Senior Engineer, System-Level Design Verification Tenstorrent is seeking a Senior Engineer, System-Level Design Verification to validate full-system behavior of AI silicon, ensuring reliable and scalable performance in real workloads. The role involves validating system connectivity, coherency, and functionality across large distributed compute platforms, and measuring/tuning performance for end-to-end AI workloads. | — | 5 |
| Director of Customer Engineering Director of Customer Engineering role at Tenstorrent, focusing on managing technical relationships with strategic customers and FAEs to translate their silicon needs into precise requirements for hardware and software teams. The role involves connecting customer architectures to Tenstorrent platforms for efficient model execution on their silicon, and overseeing RTL changes and customization for customer-specific AI silicon. | — | 5 |
| Experienced Technical Recruiter Experienced Technical Recruiter for an AI company, focusing on hiring deeply technical roles in AI, ML, systems, hardware, or infrastructure. The role involves full-cycle ownership, proactive sourcing, and acting as a trusted advisor to hiring managers. | — | 5 |
| Site Reliability Engineer, Metal Site Reliability Engineer role focused on ensuring the reliability, observability, and production readiness of Tenstorrent's large-scale AI systems, both internal and customer-facing. This involves troubleshooting, monitoring, automation, and partnering with engineering teams and customers. | — | 5 |
| Infrastructure and Platform Engineer, Metal This role focuses on designing and operating Kubernetes-based platforms on on-prem data centers, enabling engineers and customers to run workloads efficiently on Tenstorrent hardware. The team builds platforms that power internal development, workload orchestration, and hardware allocation across large-scale AI systems. | — | 5 |
| Silicon Power & Characterization Engineer This role focuses on post-silicon power characterization and correlation for AI semiconductor products. The engineer will develop and execute power measurement strategies, analyze results against pre-silicon models, and collaborate with design, architecture, validation, and systems teams to ensure power and performance specifications are met. The role involves hands-on lab work with measurement tools and scripting, with opportunities to learn about AI SoC behavior and cross-functional collaboration. | — | 5 |
| Software Engineer, Metal Runtime (API & Abstractions) Software Engineer on the Metal Runtime team at Tenstorrent, working on low-level software for AI accelerators. Designs runtime systems close to hardware and defines host/device APIs. Focuses on API design, abstraction, performance, and developer experience. | Serve | 5 |
| Infrastructure and Platform Development Engineer Tenstorrent is seeking an Infrastructure and Platform Development Engineer to build and maintain platforms for AI development workflows, workload orchestration, and ML services. This role involves productionizing and scaling Kubernetes-based platforms, integrating automation, and supporting large-scale on-prem and customer-facing environments on custom AI hardware. | Serve | 5 |
| SOC Emulation Engineer - Hardware Emulation Infrastructure This role supports hardware emulation infrastructure and internal chip design teams by integrating transactors, developing Python test frameworks, and providing technical support. It requires proficiency in Python, C++, and SystemVerilog, with experience in chip design, verification, or emulation. The role also involves using AI tools for code generation and debugging. | — | 5 |
| Static Timing Analysis (STA) Methodology Engineer This role focuses on Static Timing Analysis (STA) methodology for advanced-node, high-performance, low-power semiconductor designs. The engineer will lead the development and optimization of STA methodologies and flows, drive data- and ML-assisted timing automation, and collaborate with various teams and EDA vendors to solve complex timing challenges. The role involves improving PPA (Power, Performance, Area) and runtime efficiency through automation and data-driven techniques. | — | 5 |
| Field Application Engineer - AI Systems & Solutions Field Application Engineer focused on deploying and optimizing Tenstorrent's AI hardware and software solutions for enterprise customers in the EMEA region. This role involves system-level problem solving, customer relationship management, and acting as a liaison between customers and engineering teams. | Serve | 5 |
| High Speed AI Interconnect Signal Integrity Engineer Seeking a Senior High Speed Interconnect / Signal Integrity Engineer to design and validate high-bandwidth links for large-scale AI systems, focusing on interconnect solutions across copper and optical technologies for next-generation AI inference and training clusters. | Serve | 5 |
| Interconnect and Compute Architect This role focuses on designing and building next-generation CPU networking architecture for AI/ML workloads, targeting both datacenter and robotics/automotive applications. The primary focus is on the interconnect and compute aspects that enable AI systems, rather than directly building AI models. | Serve | 5 |
| Staff Software Engineer, Cloud Infrastructure Staff Software Engineer focused on cloud infrastructure, SRE, and DevOps to support AI technology development. Responsibilities include infrastructure automation, integration, operations, backend development, and IaC, leveraging tools like Python, Ansible, Prometheus, and Kubernetes. The role will utilize AI tools and collaborate with AI/ML experts. | — | 5 |
| Automotive and Robotics SOC Architect Tenstorrent is seeking an Automotive and Robotics SoC Architect to define system architectures for next-generation automotive applications, unifying CPU and AI technologies. This senior role requires expertise in safety-critical systems, hardware/software co-design, and automotive standards to ensure high performance, safety, and reliability. The position involves shaping architectural direction and collaborating across teams to deliver world-class automotive solutions. | — | 5 |
| Director, Systems & Solutions Director of Systems & Solutions at Tenstorrent, focusing on deploying and optimizing AI hardware and computer systems. The role involves leading a team, working with customers, and understanding hardware architecture, Linux, and system software. It emphasizes hands-on technical detail and scaling customer adoption of next-generation AI and HPC hardware. | — | 5 |