Solution Architect/ Field Application Engineer
Bengaluru, India · Remote · Full-time
- Posted 2d ago
- From Tenstorrent’s careers page
- Location
- Bengaluru, India
- Work mode
- Remote
- Type
- Full-time
- Level
- Senior
- Experience
- 10+ years
- Department
- Software Development
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About the role
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.
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.
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About Tenstorrent
Compute for every scaleTenstorrent develops AI computing systems, including superclusters and workstations for running AI workloads.
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