Field Application Engineer

Key Skills

Aartificial intelligence, C++, CUDA kernels, GPUs, Large Language Models - LLMs, Machine learning techniques, PyTorch, TensorFlow

Job Description

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

• Experienced Field Application Engineer, Solutions Architect, or Technical Specialist with a background spanning both hardware and software.
• Skilled programmer in Python with working knowledge of C++ and CUDA for parallel processing.
• Strong understanding of AI/ML frameworks such as PyTorch and TensorFlow, with experience deploying and optimizing models.
• Excellent communicator who can translate complex technical concepts into actionable insights for customers.

What We Need

• Technical partner for customers designing AI/ML solutions, including Generative AI, LLMs, vision, and language models.
• Expertise in hardware platforms (CPUs, GPUs, accelerators) to support installation, configuration, and performance optimization.
• Ability to troubleshoot issues across hardware, firmware, drivers, and software in Linux environments.
• Contributor to customer success by training users, sharing feedback with engineering, and staying current on AI and hardware advancements.

What You Will Learn

• How leading-edge AI models and high-performance hardware are being deployed in real-world environments.
• Ways to integrate customer feedback into product development, influencing the next generation of compute and AI solutions.
• Best practices for scaling AI workloads using virtualization, containerization, and job scheduling tools.
• The latest industry trends in both hardware acceleration and AI/ML frameworks—and how to apply them in customer engagements.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.