Staff Field Application Engineer, Tenstorrent

Customer Success

$100-500k

Tensorflow

PyTorch

Senior and Expert level

San Francisco Bay Area

More information about location

Office located in Santa Clara, CA

Next-generation computing company building computers for AI

Be an early applicant

Next-generation computing company building computers for AI

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Be an early applicant

$100-500k

Tensorflow

PyTorch

Senior and Expert level

San Francisco Bay Area

More information about location

Office located in Santa Clara, CA

1001+ employees

B2BArtificial IntelligenceEnterpriseManufacturingDeep TechMachine Learning

Company mission

To bring unique solutions to the problems facing AI and machine learning.

Job

Company

Role

Who you are

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
You’ve lived in the AI/ML trenches, whether as a field engineer, a solutions architect, or the one tapped in when things needed to “just work.”
You speak both machine and human. Whether it’s a researcher or a skeptical executive, you know how to break things down and bring them to life
You’re fired up about generative models, LLMs, and the edge of what’s possible when software meets purpose-built silicon
Work directly with customers in meetings, presentations, and workshops to understand their technical challenges and provide effective solutions
Partner closely with sales operations and product teams to provide feedback from customers and help shape future product enhancements

What the job involves

We’re looking for a Field Application Engineer who’s wired for AI/ML, fluent in real-world problem-solving, and excited to build with the people actually using what we make. You will collaborate closely with the sales team and enterprise customers, leveraging your deep technical knowledge in AI to drive the adoption of our products and solutions.
This is a customer-facing role that requires both technical expertise and excellent communication skills to convey complex technical concepts to non-technical stakeholders
Strong customer-facing skills with 5+ years of relevant technical, enterprise experience (such as Sales Engineer, Solutions Engineer, or Technical Account Manager)
Your field insight will help shape our roadmap, our features, and the way we show up for developers
Proven expertise in AI technologies and frameworks, including machine learning, deep learning, natural language processing (NLP),computer vision, PyTorch or TensorFlow
Experience with embedded systems, FPGA Architecture or AI accelerators. Familiarity with hardware/software co-optimization is often critical for efficient inference at the edge
Good understanding of data center, server architecture and deployment, thermal/power, and infrastructure management
How to explore and push the boundaries of AI performance on custom silicon and help developers do the same
What it’s like to build the future from scratch, working alongside teams creating hardware, software, and everything in between
To master the craft of fine-tuning LLMs, optimizing vision models, and building AI pipelines that run at scale
An understanding of why field roles drive real impact turning on-the-ground insight into product breakthroughs and platform momentum

Our take

Tenstorrent is a US- and Canada-based semiconductor startup specializing in processors for AI workloads. Rather than building gneral-purpose CPUs or GPus, the company develops custom chips and sofrware optimized for running moder AI models. As demand for AI accelerates, and as a global chip shortage reshapes the semiconductor industry, these trends have become strong tailwinds for Tenstorrent.

The company’s unique approach is to build for this future software, which it believes will be written at a higher level. Combining this with conditional computing, Tenstorrent supports a scalable distributed network approach that is analogous to a human brain.

While the market for specialized AI hardware is destined to be gigantic, the company has to compete with a plethora of hopeful startups (as well as major tech companies like NVIDIA and Qualcomm). That said, Tenstorrent boasts an excellent trajectory so far, with its latest moves including unveiling its high-end Wormhole AI processors, and a partnership with LG which will see the development of chips for "Affectionate Intelligence".

Kirsty

Company Specialist at Welcome to the Jungle

Insights

Top investors

52% employee growth in 12 months

Glassdoor (3.5)

Company

Funding (last 2 of 7 rounds)

Dec 2024

$693m

SERIES D

Jun 2024

$300m

LATE VC

Total funding: $1.3bn

Company HQ

Flemingdon Park, Toronto, ON

Leadership

Jim Keller

(CEO)

Previously Senior VP of Silicon Engineering at Intel Corporation, VP of Autopilot Hardware Engineering at Tesla, Corporate VP and Chief Architect at AMD, and VP of Engineering at Apple.

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