Java Performance Optimization Engineer at Tenstorrent

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, SemiconductorsIndustries

Requirements

Ph.D. (or equivalent experience) in Computer Engineering, Electrical Engineering, or related field
Deep understanding of JVM internals, interpreter, JIT, and GC algorithms
Strong skills in Java concurrency, threading models, and synchronization mechanisms
Hands-on experience with Java Vector API and SIMD optimization
Expertise in performance profiling/tuning with tools like perf, JFR, async-profiler, VisualVM, or YourKit
Proficiency in Java, Python, C/C++, and RISC-V assembly
Familiarity with SPECjbb and large-scale workloads (Spark, Hadoop, Cassandra)
Hands-on performance optimizer with passion for squeezing out every cycle
Comfortable diving into low-level assembly and high-level Java code
Curious about new architectures and pushing them to their limits
Collaborative and communicative, thriving in cross-functional engineering environments
Motivated by real-world impact from optimizations
Eligible to access U.S. export-controlled technology (contingent on citizenship/permanent residency or license approval)

Responsibilities

Enable, characterize, and optimize the performance of Java workloads running on Tenstorrent hardware platforms
Dive deep into JVM internals, including JIT compilation, garbage collection, and synchronization mechanisms
Apply advanced profiling and tuning techniques to improve performance across key Java workloads

Skills

Key technologies and capabilities for this role

JavaJVMJITGarbage CollectionProfilingAssemblyPerformance OptimizationRISC-V

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.

Is this position remote?

This role is remote, based out of North America.

What skills are required for this Java Performance Optimization Engineer role?

Required skills include deep understanding of JVM internals (interpreter, JIT, GC), strong Java concurrency and synchronization, hands-on experience with Java Vector API and SIMD optimization, expertise in performance profiling tools like perf, JFR, async-profiler, and proficiency in Java, Python, C/C++, and RISC-V assembly.

What is the company culture like at Tenstorrent?

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

What makes a strong candidate for this role?

Strong candidates are hands-on performance optimizers passionate about efficiency, comfortable with low-level assembly and high-level Java, curious about new architectures, collaborative in cross-functional teams, and motivated by real-world impact; a Ph.D. or equivalent in a related field is required.

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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