Datacenter Engineer – Agentic AI Workload Performance Optimization

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🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📈 Performance Marketing

👻 Ghost score 12%

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Tenstorrent Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏭 Manufacturing

💼 Consulting

🤖 Artificial Intelligence

Manufacturing • Consulting • Artificial Intelligence

Tenstorrent is a cutting-edge technology company based in Santa Clara, CA, specializing in AI semiconductors and computing solutions. They have developed advanced products like the TT-QuietBox, a liquid-cooled workstation designed for AI model development, and the Tenstorrent Galaxy, a high-performance AI compute server. Recently, Tenstorrent secured over $693M in Series D funding to enhance its AI chip capabilities and challenge market leaders in the AI data center sector.

📋 Description

• Optimize software workloads running on next-generation RISC-V platforms • Work across modern datacenter and agentic AI workloads, including Java, Python, PHP, Node.js, Lua, Go, and Rust • Identify performance bottlenecks and develop software, compiler, runtime, and hardware-aware optimizations • Improve throughput, latency, and efficiency • Bring up and tune major runtimes • Profile real-world applications and investigate memory and concurrency behavior • Explore optimizations using RISC-V Vector/Matrix capabilities and custom instructions • Use AI-assisted development and automated optimization workflows • Collaborate across compiler, runtime, systems software, hardware, and performance modeling teams • Influence the RISC-V software ecosystem and future Tenstorrent CPU architecture

🎯 Requirements

• Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field, with strong experience in performance optimization, computer architecture, compilers, or systems software • Hands-on experience with runtime or compiler optimization, such as OpenJDK/JIT, LLVM, GCC, V8, Python, or equivalent systems • Strong understanding of CPU performance, memory hierarchies, concurrency, garbage collection, vector/SIMD optimization, and RISC-V architecture • Expertise with performance profiling and analysis tools such as Linux perf, runtime profilers, QEMU, tracing tools, and performance modeling environments • Strong programming skills in Java, Python, C/C++, and RISC-V assembly • Hands-on experience optimizing software on RISC-V or another modern CPU architecture • Eligibility to access U.S. export-controlled technology, including compliance with applicable U.S. export laws and potential citizenship, permanent residency, or prior license approval requirements

🏖️ Benefits

• Compensation package and benefits • Variable compensation targets included in stated total compensation • Equal opportunity employer

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