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 role owns the technical strategy and architecture behind Tenstorrent’s core business applications, from ERP and CRM to the integrations that connect everything together. The focus is on building scalable, secure systems and integrations that hold up as the company grows, while providing hands-on technical leadership across SaaS, middleware, and custom services.
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
- Technical leader who enjoys owning architecture decisions and setting engineering standards.
- Comfortable moving between strategy and hands-on execution across enterprise systems.
- Naturally collaborative, able to guide teams and partners through complex integration work.
- Motivated by building systems that scale cleanly and stay reliable under change.
What We Need
- Ownership of development, customization, and technical oversight for core business applications and integrations.
- Leadership of middleware and integration architecture across ERP, CRM, SaaS platforms, APIs, and iPaaS solutions.
- Design and review of scalable, secure APIs, microservices, and cloud-based integration patterns.
- Proactive management of system performance, upgrades, risk mitigation, and long-term technical health.
What You Will Learn
- How a fast-growing technology company scales its enterprise application ecosystem end to end.
- How integration strategy shapes operational efficiency across finance, sales, and go-to-market systems.
- How to influence tooling, architecture, and standards across a diverse SaaS and cloud environment.
- How to balance speed, reliability, and security in a constantly evolving business systems landscape.
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.
Top Skills
What We Do
Tenstorrent is a next-generation computing company that builds computers for AI. Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers. Join us: www.tenstorrent.com/careers
