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.

This Staff Software, Cloud Infrastructure position is looking to bring new specialized expertise into the team in the area of distributed high-performance and AI computing, especially in Kubernetes-based cloud native environments. You will be driving design, implementation, and integration of systems to support scaling compute capabilities seamlessly from single-host systems into exaflop-scale clusters.

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

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.

Responsibilities

Design and drive implementation of distributed systems for AI computing applications in Cloud and novel supercomputing cluster environments
Hands-on software development, testing, integration, operations, and support
Closely collaborate with the team through the full stack and life cycle of AI data center applications, from data center design and rollout to MLOps
Operate within on-premises data centers and public cloud environments
Drive projects through their whole software development lifecycle, both on technical and non-technical side
Collaboration with both highly technical and non-technical stakeholders with differing backgrounds, being able to communicate highly complex topics to diverse audiences
Continuous improvement of engineering practices through code reviews and adoption of relevant techniques and technologies

Experience & Qualifications

10+ years of hands-on software engineering experience working with distributed systems in Cloud and/or HPC environments
5+ years of experience working with clustered (multi-host) AI hardware and applications for training and inference
5+ years of experience with Kubernetes clusters, including cluster and application deployment (e.g., CNI, CSI, Helm), operations, and development of extensions (e.g., Device plugins, Operators)
Strong working knowledge of Python and Go
Infrastructure as Code as a first-class citizen (e.g. Ansible)
Strong Git, GitOps, and CI/CD experience
Familiarity with performance requirement implications of AI/ML workloads, both inference and training
Familiarity with virtualization technologies and platforms
Hands-on experience with MLOps concepts and frameworks for end-to-end model training pipelines
Strong understanding of networking concepts – experience with network hardware configuration and management is a plus
Familiarity with security implications of multi-tenant environments on hardware, software, and networking level
Familiarity with observability, monitoring and alerting tools (e.g., Grafana, Prometheus, Loki)
Agile / lean software project management experience
Strong programming skills with years of experience in various programming languages; familiarity of both object oriented and functional programming
REST API development and integration experience – full-stack web development experience is a plus

_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.

__Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.

__Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.

_If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.