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Vacancy description

Solution Architect/ Field Application Engineer in India, भारत

Tenstorrent

  • RemoteWork from anywhere
  • Full-timeStandard weekly hours

India, भारत

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. We are looking for a Solution Architect to serve as the technical bridge between Tenstorrent and customers across India. Based in India, you will work closely with customers, partners, sales, and global engineering teams to understand AI and machine learning workloads, guide technical solution designs, work with internal teams on tokenomics and guide customer discussions, evaluations and deployments, troubleshoot issues across hardware and software, and help customers realize the performance of Tenstorrent’s AI platforms. This is a highly visible, customer-facing role that combines hands-on technical problem solving, solution development, and relationship building across the Indian market, with frequent travel to customer sites throughout India and beyond. This role is remote, based out of India. 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 technical professional who can build trust with application developers, engineering teams, and business stakeholders. - Comfortable translating complex AI/ML hardware and software concepts into clear recommendations for both technical and non-technical audiences. - A proactive and self-directed problem solver who can coordinate internal teams, external service providers, and customer stakeholders.

- Willing and able to travel to customer sites for meetings, installations, demonstrations, and proof-of-concept delivery. - Key member for marketing events/trade shows. - With 10+ years of relevant experience What We Need - Experience as a Solutions Architect, Field Application Engineer, Application Engineer, Sales Engineer or in a similar customer-facing technical role focused on AI/ML software and hardware. - Strong Python programming skills and deep familiarity with AI/ML frameworks such as PyTorch and TensorFlow; experience with Generative AI, LLMs, vision models, model deployment, training, or fine-tuning is preferred. - Experience designing scalable AI solutions and deploying applications in cloud environments, as well as guiding physically installing hardware servers, accelerator cards, and PCIe devices. - A Bachelor’s degree or higher in Computer Science, Engineering, or a related field. Experience with C++, CUDA, parallel programming, or kernel development is a plus. - Language proficiency in English is required; Hindi or other Indian language proficiency is a plus. What You Will Learn - How to architect and deploy innovative AI/ML solutions across a wide range of customer use cases, including Generative AI and LLM applications. - How to lead the full customer engagement lifecycle, from pre-sales technical discovery and demonstrations through proof-of-concept delivery and production deployment. - How to collaborate with product development, engineering, research, sales, and business development teams to influence the evolution of AI software and hardware solutions. - How to help establish regional service capabilities and support the growth of Tenstorrent’s presence in India and beyond. Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

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