CPU Workload Performance Analysis Engineer at Tenstorrent

United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Semiconductors, High-Performance ComputingIndustries

Requirements

Ph.D. in Computer Engineering, Electrical Engineering, or a related field
Strong research background or industry expertise in benchmark construction, workload characterization, workload reduction, and performance simulation
Proficiency in performance profiling tools such as Linux Perf, Strace, AMD’s uProf, Arm’s Telemetry Solution, or similar tools
Deep understanding of CPU microarchitecture concepts, including superscalar pipelines, speculative execution, SIMD, and memory hierarchy

Responsibilities

Conduct competitive analysis of the latest CPU products using industry-standard benchmarks and emerging applications
Characterize CPU workloads, identifying performance bottlenecks and power inefficiencies in hardware and software interactions
Collaborate with CPU architects and RTL designers to enhance microarchitectural features and improve performance/watt metrics
Reduce workloads for CPU performance modeling, FPGA emulation, and model-to-RTL correlation
Utilize performance models, EDA frameworks, and profiling tools to measure, characterize, and predict CPU performance and power under various workloads
Stay up to date with industry trends, new workload requirements, and advancements in CPU microarchitecture and performance analysis techniques

Skills

RISC-V

CPU Architecture

Performance Simulation

Workload Characterization

Benchmark Construction

RTL Design

Performance Analysis

Performance Modeling

Performance Optimization

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.

Land your dream remote job 3x faster with AI

Try Jobo Free