Technical Writer, AI Compiler (Contract)

As a Technical Writer at Tenstorrent, you'll be responsible for developing, writing, and maintaining high-quality documentation aimed at software, including API references, developer guides, and technical specifications. You'll collaborate with engineers and product managers to distill complex technical information into clear, narrative content that resonates with various stakeholders. Additionally, you will create engaging PowerPoint presentations and training materials to enhance product education and user adoption, as well as continuously improve documentation processes.

To qualify for the Technical Writer role at Tenstorrent, you'll need a Bachelor’s degree in Technical Writing, Communication, Computer Science, or a related field, along with at least 5 years of experience in technical writing, preferably in the technology or hardware sectors. Essential skills include proficiency in Microsoft Office Suite, GitHub, and documentation tools like MadCap Flare or Confluence. Familiarity with AI and ML concepts is advantageous, along with excellent communication and collaboration skills.

While prior experience in AI or ML is not strictly required for the Technical Writer position at Tenstorrent, a strong interest in these areas is highly desirable. Candidates who have familiarity with AI compilers, LLVM, or MLIR will have an edge, as the role involves synthesizing technical information from cutting-edge AI technologies to create clear documentation tailored to various audiences.

The Technical Writer position at Tenstorrent is hybrid, allowing flexibility between remote work and in-person collaboration at our Austin, TX location. This arrangement creates opportunities for team interaction while accommodating your personal work-life balance. Candidates can engage with a diverse team of technologists who are passionate about AI innovation.

Compensation for the Technical Writer position at Tenstorrent ranges from $100k to $500k, which includes both base and variable compensation targets. The actual offer will consider your experience, skills, background, and location. Tenstorrent aims to provide a highly competitive compensation package and benefits for all employees.

When tackling technical documentation for complex subjects, I start by meeting with engineers and subject matter experts to gather detailed insights. I use techniques like creating outlines and asking clarifying questions to ensure I fully understand the content. Then, I translate this information into clear, concise prose, focusing on the target audience’s needs and level of understanding. Finally, I solicit feedback and revise accordingly to enhance clarity.

In my previous roles, I've extensively used GitHub for managing documentation projects. I'm familiar with version control systems, which help me track changes and collaborate efficiently with development teams. I understand how to navigate repositories, manage pull requests, and utilize Markdown for creating documents, which ensures that my contributions remain aligned with ongoing software developments.

To maintain high-quality documentation, I implement a consistent editorial process that includes regular reviews and updates. I stay current with industry trends and emerging technologies, particularly in AI and ML, to keep the content relevant. Engaging with users for feedback is also key, as it helps refine the documentation based on real users' experiences and needs.

To make documentation accessible for non-technical audiences, I focus on using simple language and avoiding jargon. I incorporate visuals like diagrams and infographics to illustrate complex concepts. Additionally, I structure the content with clear headings and bullet points, and provide context for technical terms to ensure everyone can follow and understand the material.

In my previous roles, I've developed comprehensive training materials, including guides, presentations, and e-learning modules. I ensure the content aligns with the users' learning objectives by collaborating with subject matter experts and utilizing feedback from training sessions. My process typically involves identifying key topics, structuring the material logically, and incorporating interactive elements to engage the learners.

When faced with multiple documentation projects, I prioritize based on the project's impact and deadline. I communicate regularly with project stakeholders to understand their timelines and requirements. Using project management tools helps me track progress and deadlines while ensuring that all projects receive attention during their critical phases.

Teamwork is vital in my documentation process. Collaborating with engineers, product managers, and other stakeholders allows me to gather accurate information and multiple perspectives. This collaborative approach not only leads to better documentation but also fosters a sense of shared ownership among the team, which ultimately improves the quality of our collective work.

I have been following AI technologies closely and have taken initiatives to deepen my understanding through research and courses. Familiarity with AI is crucial for a Technical Writer at Tenstorrent because it enables me to accurately represent complex concepts and document the evolving features of the AI Compiler. This knowledge also helps me communicate effectively with technical teams and produce materials that resonate with users.

In a previous role, I conducted a thorough review of outdated documentation and identified several areas for improvement. I reorganized the content for better flow, incorporated user feedback, and updated technical specifications to reflect the latest software releases. These enhancements significantly increased user satisfaction, as evidenced by a rise in positive feedback and a noticeable reduction in support queries related to the documentation.

I measure the effectiveness of documentation through several key metrics, including user feedback, the frequency of support queries related to the documented information, and documentation usage statistics. Surveying users after they’ve consulted documentation can provide insights into clarity and usefulness. High usage rates combined with low support queries typically indicate effective documentation.