Field Applications Engineer, IP Product
$100k per yearTenstorrent
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 seeking an experienced Field Application Engineer to champion our revolutionary RISC-V CPU and AI accelerator IP products with customers worldwide. You will own end-to-end technical engagements, translating complex architectural advantages into customer wins while shaping our product roadmap through direct market feedback. If you combine deep technical expertise with exceptional customer engagement skills and want to drive the adoption of next-generation compute IP, join our team.
This role is hybrid, based out of the United States or Canada near one of our main office locations.
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 customer-focused engineer with proven success in CPU/GPU/NPU IP sales engagements.
- Technical expert who can articulate complex architectural benefits and conduct deep-dive analyses.
- Self-driven professional who independently manages multiple customer relationships from discovery to win.
- Strategic thinker who identifies customer pain points and positions solutions effectively.
What We Need
- 7+ years in the semiconductor industry with a degree in EE or related field including customer-facing roles in CPU IP.
- Hands-on expertise with ASIC design flows, IP integration, and relevant design views (.lib, LEF, ICL, PDL).
- Deep technical knowledge of CPU architectures, semiconductor technologies, and system-level design.
- Exceptional presentation and communication skills with ability to engage all organizational levels.
- Proven track record of technical wins and managing multiple simultaneous accounts.
What You Will Learn
- How to position cutting-edge RISC-V and AI accelerator IP against industry incumbents.
- Advanced customer engagement strategies for complex technical sales in the semiconductor industry.
- Direct influence on product development through customer feedback and market insights.
- The complete IP business cycle from evaluation through design win and production success.
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.
$100k per year
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