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1–2 jobs· newest first

AI Accelerator ArchitectNew
Tenstorrent · Austin, US+1 more
$100K–$500KHybrid
Staff ASIC RTL Design (Turing) - EngineerNew
Qualcomm · Noida, India

+10K new in the last hour

AI Accelerator Architect

Tenstorrent · Posted Jun 4, 2024

Austin, Texas, United States +1 more
Hybrid
$100K–$500K per year

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AI

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Design and optimize the architecture and micro-architecture of Tensix AI cores for performance, power, and area.

Locations (2)

Austin, Texas, United States
Toronto, Ontario, Canada

Compensation

Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets.

Responsibilities

Collaborate with architects, designers, and software teams to deliver high-performance AI IP
Optimize Tensix AI cores for performance, power, and area
Deliver high-performance AI IP
Evaluate system-level performance impact of design trade-offs
Integrate RTL improvements into a full AI compute stack

Requirements

Bachelor’s degree in EE/ECE/CE/CS or a related field (MS or PhD preferred)

Skills

RTL design micro-architecture of caches and/or scratch-pad memories performance models for architecture exploration understanding of microprocessor architecture logic design principles timing/power tradeoffs floating-point arithmetic low-power micro-architecture arithmetic circuit optimization

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Staff ASIC RTL Design (Turing) - Engineer

Qualcomm · Posted Nov 12, 2026

Noida, Uttar Pradesh, India
8+ years

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Lead ASIC RTL design and verification for sub-system/SOC integration, driving performance, power, and quality goals.

Responsibilities

Interact closely with product definition and architecture team
Develop implementation strategies for microarchitecture and coding
Define block level design aspects such as diagram, interfaces, clocking, transaction flow, pipeline, low power
Lead a team of engineers on RTL coding and simulation debug
Drive lint/CDC/FV/UPF checks to ensure design quality

Requirements

Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field
Master's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field
PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field

Skills

Verilog System Verilog simulation tools waveform debugging tools low power microarchitecture techniques

Computer system architecture

performance and power trade-offs

logic design principles

timing and power implications

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