Automotive Base Chiplet SoC Architect at Tenstorrent

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Semiconductors, AIIndustries

Requirements

Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or a related field
Solid understanding of SoC architecture and trade-offs
Knowledge of high speed IO, including LPDDR, Ethernet, PCIe
High level understanding of ISP and camera processing (strong plus)
Knowledge of CPU subsystems and the supporting components (RISC-V or ARM)
Solid understanding of computer architecture, interconnects and memory system behaviour
Experience with functional safety / ISO26262 (strong plus)
Experience with AEC-Q100/104 and automotive device reliability (plus)
Strong problem-solving skills and the ability to analyse complex system-level issues
Excellent communication skills and the ability to collaborate effectively with cross-functional teams

Responsibilities

Write detailed specifications for automotive chiplets / SoCs
Present the architecture to internal stakeholders and customers
Propose new features that enhance performance, power and area (PPA)
Ensure that devices meet the reliability and safety requirements for an automotive product
Perform IP reviews and vendor selection
Describe chiplet and SoC level use-case for performance analysis
Gather and track requirements and features and drive these to successful completion
Work closely with design and verification to ensure a successful product
Work closely with implementation teams to provide architectural guidance throughout the project

Skills

SoC Architecture

Chiplet Design

RISC-V

PPA Optimization

Automotive Safety

IP Review

Performance Analysis

Hardware Verification

System Requirements

Vendor Selection

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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