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Tenstorrent Inc.

Datacenter Engineer – Agentic AI Workload Performance Optimization

Tenstorrent Inc.

. Optimize software workloads running on next-generation RISC-V platforms .

Posted 10/30/2026full-timeRemote • California • United States, CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in performance optimization and computer architecture, with strong programming skills in Java, Python, C/C++, and RISC-V assembly. Proficient in using performance profiling tools and optimizing software workloads on RISC-V platforms.

Highest-signal resume keywords
Performance OptimizationRISC-V ArchitectureCompiler OptimizationPerformance Profiling ToolsProgramming in Java, Python, C/C++

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Performance OptimizationRISC-V ArchitectureCompiler OptimizationProgramming in JavaProgramming in PythonProgramming in C/C++RISC-V AssemblyVector/SIMD OptimizationConcurrency ManagementGarbage Collection
Tools & Technologies
OpenJDK/JITLLVMGCCV8Linux PerfQEMUTracing ToolsPerformance Modeling Environments
Industry Keywords
Computer EngineeringElectrical EngineeringComputer ScienceDatacenter WorkloadsAI WorkloadsMemory HierarchiesRuntime OptimizationExport-Controlled Technology

Tech Stack

Tools & technologies
AssemblyJavaJavaScriptLinuxLuaNode.jsPHPPythonRustC++Go

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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