Tenstorrent is at the forefront of AI technology, building next-generation computers where memory is a key component. We're seeking an innovative Memory Architect to push the boundaries of our memory chiplet architecture for AI and CPU applications. You'll work closely with fellow architects, cross-functional teams, and external partners to explore advanced memory technologies.

This role is remote or hybrid, based out of North America or South Korea.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You have a deep understanding of JEDEC standard DRAMs (GDDR, HBM, LPDDR, DDR) and their specifications.Experience with 3D-stacking, advanced packaging, custom memory, DFI, die-to-die interfaces, storage, and I/O protocols is a huge plus.
• You bring 10+ years of experience in memory system architecture, scheduling algorithms, and controller architecture exploration and design. You have hands-on experience building performance/power simulators or developing memory IPs in HDL. A deep understanding of memory reliability and security is a strong plus.
• You are a collaborative team player with excellent communication skills and a history of mentoring junior engineers.
• A PhD with a focus on computer architecture or a strong research background (or a publication track record) is a strong plus.

What We Need

• Define the architecture and micro-architecture specifications for memory and I/O chiplets, focusing on state-of-the-art memory technology for AI and CPU applications.
• Explore and evaluate next-generation memory technologies, analyzing trade-offs across key metrics like bandwidth, latency, and power to develop a strategic roadmap.
• Develop and own a detailed performance and power modeling infrastructure to enable data-driven decisions for high-throughput, low-latency memory architectures.
• Work closely with SoC design/verification, physical design, packaging, and systems engineering teams to ensure seamless integration. You will also communicate frequently with external partners and customers.

What You Will Learn

• How to lead architectural decisions and drive alignment across IP, SoC, and system software teams in a fast-paced and rapidly growing environment.
• How complex chiplets are brought to life, from architecture specifications all the way to silicon fabrication, packaging, and mass production.
• How Tenstorrent is designing next-generation chiplet-based SoCs that unify AI, CPU, Memory, I/O, and scale-out elements.
• How to optimize data movement across the entire software-hardware stack.
• You will exchange your expertise in the memory subsystem with fellow expert architects in AI, CPU, fabric, security, power, reliability, debug, system design, and scale-out.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is accelerating the future of AI and high-performance compute by building industry-leading CPU and AI architectures. As an Automotive and Robotics SoC Architect, you will define scalable, top-down system architectures that unify our CPU and AI technologies for next-generation automotive applications. This senior technical role shapes the architectural direction of our automotive and robotics portfolio, ensuring our products meet the industry's highest expectations for performance, safety, reliability, and security. This position is central to how Tenstorrent delivers world-class automotive solutions and requires strong technical leadership, systems thinking, and cross-functional collaboration.

This role is remote, based out of North America.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A systems thinker who can architect complex SoCs from concept to execution.
• A strong communicator who can articulate technical direction across engineering teams and external partners.
• Someone with deep knowledge of safety-critical systems and the unique needs of automotive environments.
• An innovator who can identify future use cases and propose next-generation architectural solutions.
• A leader who thrives in a highly technical, cross-functional, fast-moving environment.

What We Need

• Bachelor’s, Master’s, or Ph.D. in Electrical Engineering, Computer Engineering, or related field.
• Extensive experience designing complex SoCs, ideally in automotive applications.
• Proficiency in hardware description languages such as Verilog or VHDL.
• Experience with hardware/software co-design and co-verification.
• Knowledge of automotive safety standards (e.g., ISO 26262) and security principles.
• Someone comfortable with up to 25% international travel. 
• Experience with both cameras, sensors, and others is a plus.

What You Will Learn

• How cutting-edge CPU and AI architectures are adapted for automotive-grade environments.
• Best-in-class methodologies for safety-critical SoC design, verification, and system integration.
• How to translate emerging automotive use cases into scalable, future-proof SoC architectures.
• Approaches to hardware-level security, robustness, and cyber-resilience in automotive compute systems.
• Cross-functional collaboration strategies that drive innovation across architecture, software, DV, and product teams.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is building next-generation AI compute across hardware and software. This role focuses on delivering AI model IP and the supporting software stack into real customer environments, ensuring performance, correctness, and deployability at scale.

This role is hybrid, based out of Austin, TX; Santa Clara, CA; or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Technical integration expert with experience in AI infrastructure, compilers, semiconductors, or systems spanning those domains.
• Proven track record delivering functional IP such as hardware and software into customer environments. Escalation and de-escalation of customer needs. 
• Systems thinker who can map customer requirements across models, serving stacks, performance targets, and hardware configurations to current platform capabilities.
• Comfortable operating in fast-moving environments where hardware and software evolve simultaneously and ambiguity is high.
• Strong communicator who bridges customer needs with engineering reality across timelines and tradeoffs.

What We Need

• Own end-to-end delivery of AI model IP and supporting software including compiler outputs, runtime libraries, model artifacts, and hardware collateral.
• Define and enforce release criteria covering correctness, performance, and customer-specific requirements.
• Align hardware, compiler, runtime, kernel, and legal teams to ensure deliverables are technically sound, compliant, and deployable.
• Identify integration risks including toolchain gaps, performance issues, and system mismatches and drive mitigation strategies.
• Provide clear visibility to leadership on deployment status and translate customer needs into actionable roadmap priorities.

What You Will Learn

• How AI models are compiled, optimized, and deployed on custom accelerator architectures across multi-device systems.
• How complex software and hardware IP is packaged and delivered to customers while the underlying stack is still evolving.
• How to manage programs in environments where compiler, kernel, and runtime systems are rapidly advancing.
• How product and engineering roadmaps are shaped by real-world customer deployment requirements.
• How large-scale AI systems are delivered to Tier 1 customers with both standard and custom needs.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Join our innovative team as a Director, Systems & Solutions where you'll play a pivotal role in deploying and optimizing cutting-edge computer systems and AI hardware. If you have a passion for hardware technologies, including accelerators, CPUs, GPUs, and thrive in a dynamic, hands-on technical environment, we would love to hear from you. In this role you will be leading a team and helping us scale our customer base.

This role is hybrid, based out of Santa Clara, CA; Austin, TX or Toronto, ON.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• A hands-on manager with a deep understanding of computer systems and AI hardware, driven by curiosity and a passion for performance.
• You’re comfortable getting into the technical details - from CPU and GPU architecture to firmware and drivers and thrive in dynamic, hands-on environments.
• You excel at problem solving and enjoy working directly with customers to implement and optimize advanced computing solutions.
• You communicate clearly, collaborate effectively across teams, and take pride in delivering reliable, high-quality systems.
• You’re motivated by impact - eager to see your work come to life in the next generation of AI and high-performance compute deployments.

What We Need

• Strong experience with computer hardware and system architecture, including CPUs, GPUs, FPGAs, and AI accelerators.
• Deep understanding of Linux operating systems, with experience in configuration, performance optimization, and administration.
• Proficiency in system software, including drivers, firmware, and related hardware-level tools.
• Working knowledge of electrical systems, including wiring, cabling, and thermal management.
• The ability to travel up to 50% of the time both domestically and internationally. 

What You Will Learn

• How to deploy, validate, and optimize AI compute systems at scale across diverse customer environments.
• End-to-end exposure to hardware-software integration, from firmware and drivers to full system bring-up.
• Hands-on experience with accelerator-based architectures and cutting-edge hardware design.
• Collaboration with world-class engineering teams building open, high-performance systems based on RISC-V and modular chiplet architectures.
• The opportunity to directly shape how customers adopt and scale next-generation AI and HPC hardware, helping push the boundaries of performance and efficiency.
  
  

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, orchestrate workloads, and manage large-scale AI hardware across on-prem data centers. This team develops and productionizes infrastructure used both internally and externally on Tenstorrent systems.

This role is hybrid, based out of Toronto, ON; Santa Clara, CA; Austin, TX; Belgrade, Serbia; Warsaw, Poland; or Gdańsk, Poland.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• Strong backend or infrastructure engineer with experience building and operating platforms on bare-metal or on-prem systems.
• Deep experience with Kubernetes, including cluster provisioning, operations, and debugging production issues.
• Proficient in Python or Go with experience building APIs and services.
• Comfortable with Linux systems, networking fundamentals, and debugging distributed systems.
• Collaborative and adaptable, able to work across teams in fast-moving environments.

What We Need

• Design, build, and maintain infrastructure platforms for development workflows, workload orchestration, and ML services.
• Develop APIs and services that enable internal teams to interact with infrastructure systems.
• Productionize and scale Kubernetes-based platforms, including cluster management and operational maturity.
• Integrate automation workflows using CI/CD pipelines and infrastructure-as-code tools such as Ansible and GitOps frameworks.
• Collaborate with SRE, infrastructure, and deployment teams to support large-scale on-prem and customer-facing environments.

What You Will Learn

• How large-scale AI infrastructure is built and operated on custom accelerator hardware.
• Advanced Kubernetes patterns including operators, controllers, and production-scale cluster management.
• How on-prem data center infrastructure differs from cloud-native environments at scale.
• How infrastructure platforms evolve from internal tools to production-grade external systems.
• How cross-functional teams coordinate to deploy and support AI systems in real-world environments.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Tenstorrent is seeking an AI Performance Simulation Architect to help shape the future of our AI computing.  In this role, you’ll architect and build scalable cycle-accurate AI accelerator performance models that can run representative AI workloads.  Your work will directly inform how we design and optimize future hardware platforms, from high-level performance models to cycle-accurate simulations.

This role is remote, based out of North America.

We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

• You’re a senior technical leader with deep experience in AI accelerator architecture and micro-architecture, performance simulation, and system-level modeling.
• You’re comfortable switching between abstraction layers—from C++ performance models to software frameworks and system requirements.
• You have a strong grasp of AI workloads and how to distill them into inputs for performance models.
• You understand how system design affects the performance and scalability of AI workloads.
• You collaborate well across hardware, software, and research domains—and enjoy mentoring others along the way.

What We Need

• Architect and develop simulation environments for AI systems—spanning accelerators, NoCs, and memory hierarchies.
• Define and implement abstraction layers, from high-level analytical models to detailed simulations using tools like GEM5 or SST.
• Lead performance modeling and bottleneck analysis to guide architectural design and system optimization.
• Lead integration of the AI accelerator performance model into a larger heterogeneous simulation modeling environment to examine system performance.
• Deep experience with parallel programming (OpenMP, MPI, CUDA, OpenCL) and system analysis tools.

What You Will Learn

• How Tenstorrent is building next-gen AI infrastructure at datacenter scale.
• How to influence silicon and system-level decisions using simulation-driven insights.
• How to collaborate with vendors and technology partners to assess emerging processors, accelerators, and interconnects.
• How to bridge simulation and deployment by working across hardware, dev tools, software stacks, and customer use cases.

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.