Overview
Serve as the technical bridge between Tenstorrent and customers across India as a Solution Architect/Field Application Engineer. Work with customers, partners, sales, and global engineering teams on AI/ML workloads, solution designs, evaluations, deployments, troubleshooting, and performance of Tenstorrent’s AI platforms.
What you'll do
- Understand AI and machine learning workloads.
- Guide technical solution designs.
- Work with internal teams on tokenomics.
- Guide customer discussions, evaluations, and deployments.
- Troubleshoot issues across hardware and software.
- Help customers realize the performance of Tenstorrent’s AI platforms.
- Build trust with application developers, engineering teams, and business stakeholders.
- Translate complex AI/ML hardware and software concepts into clear recommendations for technical and non-technical audiences.
- Coordinate internal teams, external service providers, and customer stakeholders.
- Travel to customer sites for meetings, installations, demonstrations, and proof-of-concept delivery.
- Participate as a key member in marketing events and trade shows.
- Architect and deploy AI/ML solutions across customer use cases, including Generative AI and LLM applications.
- Lead the full customer engagement lifecycle, from pre-sales technical discovery and demonstrations through proof-of-concept delivery and production deployment.
- Collaborate with product development, engineering, research, sales, and business development teams to influence AI software and hardware solutions.
- Help establish regional service capabilities and support Tenstorrent’s presence in India and beyond.
What you'll need
- 10+ years of relevant experience.
- 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.
- Deep familiarity with AI/ML frameworks such as PyTorch and TensorFlow.
- Experience designing scalable AI solutions and deploying applications in cloud environments.
- Experience guiding physical installation of hardware servers, accelerator cards, and PCIe devices.
- A Bachelor’s degree or higher in Computer Science, Engineering, or a related field.
- English language proficiency.
Nice to have
- Experience with Generative AI, LLMs, vision models, model deployment, training, or fine-tuning.
- Experience with C++, CUDA, parallel programming, or kernel development.
- Hindi or other Indian language proficiency.
Details
- Location: Bengaluru, Karnataka, India.
- Remote, based out of India.
- Frequent travel to customer sites throughout India and beyond.
- The role is customer-facing.
- Employment offers may depend on eligibility to access U.S. export-controlled technology and applicable citizenship, permanent residency, or license approval requirements.
Read the full description and apply on the company’s own careers page.