Tenstorrent
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C++ Machine Learning Engineer, AI Models Training
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you.
This role is hybrid, based out of Santa Clara, CA.
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 in C++ and low-level systems programming, especially in performance-critical code.
- Comfortable thinking in tensors, memory layout, and compiler graphs.
- Familiar with PyTorch and curious about how frameworks map to hardware.
- A builder who enjoys solving technical puzzles and digging into the details.
What We Need
- Extend and optimize our ML training framework with new ops, layers, and training features.
- Debug and tune model performance on Tenstorrent chips.
- Work with compiler and kernel teams to make sure models compile and run as expected.
- Support integration of real-world models and help bring them into production.
What You Will Learn
- How ML frameworks and compilers connect at the system level.
- How to translate training workloads into low-level operations optimized for custom silicon.
- How large-scale model training works under the hood, from memory layout to operator fusion.
- What it takes to build infrastructure that supports fast iteration in research and production.
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.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Infrastructure Automation Engineer, Metal
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is building large-scale AI infrastructure across on-prem data centers and accelerator clusters. This role focuses on automation of provisioning, configuration, and deployment workflows to ensure systems are scalable, reliable, and repeatable.
This role is hybrid in Toronto, ON; Austin, TX; or Santa Clara, CA.
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
- Experienced in infrastructure automation, DevOps, or systems engineering in large-scale environments.
- Strong hands-on expertise with Ansible and AWX, including playbooks, roles, and automation workflows.
- Proficient in Python, Bash, or similar scripting languages for automation and tooling.
- Comfortable with Linux systems administration and debugging infrastructure issues.
- Familiar with networking fundamentals and CI/CD systems in distributed environments.
What We Need
- Design and maintain automation frameworks using Ansible and AWX for infrastructure provisioning and configuration.
- Build and manage playbooks, roles, inventories, and job templates for scalable system deployment.
- Automate infrastructure across compute nodes, networking components, and system services.
- Integrate automation workflows with internal tooling and CI/CD pipelines.
- Troubleshoot automation pipelines and collaborate with SRE and infrastructure teams on large-scale deployments.
What You Will Learn
- How large-scale AI infrastructure is provisioned and managed across accelerator clusters.
- How automation frameworks scale across complex on-prem and hybrid environments.
- How infrastructure automation integrates with CI/CD and deployment pipelines.
- How distributed systems are configured, deployed, and maintained at scale.
- How operational efficiency is achieved through automation in high-performance 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.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Infrastructure and Platform Engineer, Metal
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent’s AI Software Infrastructure team builds the platforms that power internal development, workload orchestration, and hardware allocation across large-scale AI systems. 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.
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
- Experienced backend or infrastructure engineer with a focus on platform development in large-scale environments.
- Strong expertise in Kubernetes, including cluster provisioning, operators, and production debugging.
- Proficient in Python or Go for building APIs and platform services.
- Comfortable working with Linux systems, networking fundamentals, and distributed systems.
- Collaborative and adaptable, able to work across engineering, infrastructure, and deployment teams.
What We Need
- Design and build platform services for workload orchestration, ML services, and internal development workflows.
- Develop APIs and systems that enable users and services to interact with infrastructure platforms.
- Own Kubernetes-based platforms including cluster lifecycle, scaling, and operational maturity.
- Integrate platform systems with CI/CD pipelines, GitOps workflows, and internal tooling.
- Partner with SRE, infrastructure, and deployment teams to support large-scale internal and external environments.
What You Will Learn
- How large-scale AI platforms are built and operated on custom accelerator hardware.
- Advanced Kubernetes patterns including operators, controllers, and cluster lifecycle management.
- How internal platforms evolve into production-grade systems used by customers.
- How orchestration, APIs, and infrastructure come together to support AI workloads.
- How platform engineering scales across on-prem and hybrid 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.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Infrastructure and Platform Development Engineer
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
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.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Sr. Staff Engineer, Driver
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is building next-generation AI hardware and software. This role focuses on the user-mode driver and interface layer that enables communication, resource management, and performance across our devices. You will play a key role in defining how our software stack interacts with both internal and third-party hardware.
This role is hybrid, based out of Belgrade, Serbia.
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
- Deep systems engineer with 7+ years experience in user-mode drivers or low-level systems programming.
- Strong proficiency in C and C++ with solid understanding of hardware-software interfaces.
- Familiar with Linux kernel concepts and how kernel and user-space components interact.
- Experience working with external customers or partners to define and support driver or hardware interfaces.
- Exposure to safety-critical systems, automotive platforms, or Functional Safety standards such as ISO 26262 is a strong plus.
What We Need
- Design and evolve the user-mode driver layer that provides high-performance APIs for Tenstorrent devices.
- Define driver interfaces and specifications that enable the broader software stack to run across internal and third-party hardware.
- Collaborate with kernel and hardware teams to ensure efficient cross-layer design and performance.
- Drive performance engineering efforts, including benchmarking, profiling, and optimization of APIs.
- Support external integrations by defining hardware-software boundaries and enabling reliable deployment in customer environments, including safety-critical use cases where applicable.
What You Will Learn
- How user-mode and kernel-level drivers are designed for high-performance AI hardware.
- How hardware-software interfaces are defined to support scalable and portable systems.
- How performance is optimized across memory, compute, and communication layers.
- How third-party hardware integrations are enabled through well-defined driver and interface layers.
- How safety and reliability requirements influence modern driver architecture, including in automotive and mission-critical systems.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
Site Reliability Engineer, Metal
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
Tenstorrent is building large-scale AI systems across internal clusters and customer deployments. This role sits at the intersection of site reliability, infrastructure operations, and customer engineering, ensuring our systems are reliable, observable, and production-ready.
This role is hybrid, based out of Toronto, ON; Austin, TX; or Santa Clara, CA.
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
- Experienced in site reliability, infrastructure, or systems engineering in distributed environments.
- Strong Linux systems knowledge with the ability to troubleshoot complex multi-layer issues.
- Proficient with observability tools such as Prometheus, Grafana, and alerting systems.
- Comfortable with scripting and automation using Python, Go, or similar languages.
- Solid understanding of networking fundamentals and how systems behave at scale.
What We Need
- Ensure reliability and operational health of Tenstorrent systems across internal and customer environments.
- Troubleshoot complex issues across compute, networking, and software layers.
- Partner with engineering teams and customers to resolve production incidents.
- Design and improve monitoring, observability, and alerting systems.
- Build automation to reduce operational toil and improve system reliability.
What You Will Learn
- How large-scale AI infrastructure is operated across internal clusters and customer deployments.
- How distributed systems behave under real-world production conditions.
- How observability and automation drive reliability at scale.
- How hardware, networking, and software systems interact in AI environments.
- How customer-facing AI infrastructure is deployed, supported, and optimized.
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.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent
C++ Machine Learning Engineer, Models Training
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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 innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.
As a C++ Machine Learning Engineer on the AI Models team at Tenstorrent, you’ll work on the training framework behind our most advanced models. You’ll write high-performance C++ code, shape how new layers and operators are implemented, and help models scale across our custom silicon. If you enjoy building the guts of ML systems and seeing them run fast, this role is for you.
This role is hybrid, based out of Warsaw or Gdansk, Poland. We also consider remote candidates on a case-by-case status.
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 in C++ and low-level systems programming, especially in performance-critical code.
- Comfortable thinking in tensors, memory layout, and compiler graphs.
- Familiar with PyTorch and curious about how frameworks map to hardware.
- A builder who enjoys solving technical puzzles and digging into the details.
What We Need
- Extend and optimize our ML training framework with new ops, layers, and training features.
- Debug and tune model performance on Tenstorrent chips.
- Work with compiler and kernel teams to make sure models compile and run as expected.
- Support integration of real-world models and help bring them into production.
What You Will Learn
- How ML frameworks and compilers connect at the system level.
- How to translate training workloads into low-level operations optimized for custom silicon.
- How large-scale model training works under the hood, from memory layout to operator fusion.
- What it takes to build infrastructure that supports fast iteration in research and production.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.
Ready to apply?
Apply to Tenstorrent