Customer IP Enablement Engineer at Tenstorrent

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

BS/MS/PhD in EE/ECE/CE/CS
Expertise in optimizing PPA for high performance and low power designs
Prior experience with optimizing RTL for timing/power
Hands-on experience with synthesis, block and chip level implementation flows
Prior experience working on high performance technology nodes and understanding of deep sub-micron design problems/solutions
Strong programming skills in Tcl/Perl/Shell/Python
Knowledge of CPU Micro Architecture (plus)
Prior experience working with customers (asset)
U.S. citizenship/permanent residency, asylee, or refugee status (or ability to obtain U.S. export license)

Responsibilities

Own physical design for multiple variants of the IP to be delivered to customers
Physical design tasks including synthesis, PnR, area improvement, floorplanning, clocking, I/O planning and power optimization
Develop and own physical design integration guide for the IP
Engage with IP customers and address PPA related concerns
Collaborate with RTL designers to explore design options for achieving optimal PPA

Skills

Key technologies and capabilities for this role

SynthesisPnRFloorplanningClockingI/O PlanningPower OptimizationPPA OptimizationRTL OptimizationPhysical DesignTiming Optimization

Questions & Answers

Common questions about this position

What is the compensation range for this role?

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets, with the actual offer impacted by experience, skills, education, background, and location.

Is this role remote or hybrid, and where is it based?

This role is hybrid, based out of Santa Clara, CA, Fort Collins, CO or Austin, TX.

What skills and experience are required for this position?

Required qualifications include a BS/MS/PhD in EE/ECE/CE/CS, expertise in optimizing PPA for high performance and low power designs, hands-on experience with synthesis and block/chip level implementation flows, experience with high performance technology nodes, and strong programming skills in Tcl/Perl/Shell/Python.

What is the company culture like at Tenstorrent?

Tenstorrent values collaboration, curiosity, and a commitment to solving hard problems, with a diverse team of technologists passionate about AI and building the best AI platform.

What makes a strong candidate for this role?

Strong candidates have expertise in PPA optimization, hands-on physical design experience including synthesis and implementation flows, programming skills in Tcl/Perl/Shell/Python, and prior customer engagement or CPU microarchitecture knowledge as a plus; all experience levels are welcome with assessment during interviews.

Tenstorrent

Builds advanced computers for AI applications

About Tenstorrent

Tenstorrent builds advanced computers specifically designed for artificial intelligence applications. Their products include high-performance computing systems that utilize specialized hardware and software solutions, leveraging technologies like ASIC design and RISC-V architecture. Unlike many competitors, Tenstorrent focuses on integrating neural network compilers into their systems, enhancing the efficiency of AI computations. The company's goal is to advance the capabilities of AI computing, serving clients in the AI and computing sectors while generating revenue through the sale of their specialized systems and services.

Toronto, CanadaHeadquarters

2016Year Founded

$1,297.7MTotal Funding

SERIES_DCompany Stage

Hardware, AI & Machine LearningIndustries

501-1,000Employees

Benefits

Hybrid Work Options

Risks

Competition from established AI hardware companies like Nvidia could impact market share.

Reliance on open-source software may delay product development timelines.

Geopolitical tensions in South Korea and Japan could disrupt Tenstorrent's supply chains.

Differentiation

Tenstorrent leverages RISC-V technology for flexible, open-source AI hardware solutions.

The company partners with BOS Semiconductors to develop next-gen automotive AI chips.

Tenstorrent's global presence includes offices in key tech hubs like Silicon Valley and Tokyo.

Upsides

RISC-V architecture's growth aligns with Tenstorrent's open-source AI software focus.

Automotive AI chip market growth offers lucrative opportunities for Tenstorrent's BOS partnership.

Increasing demand for HPC systems could expand Tenstorrent's reach beyond tech industries.

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