[Remote] Datacenter & Agentic AI Workload Performance Optimization Engineer

Note: The job is a remote job and is open to candidates in USA. Tenstorrent is hiring a Workload Performance Optimization Engineer to optimize software workloads on its next-generation RISC-V platforms. The role focuses on profiling real-world datacenter and agentic AI applications and improving throughput, latency, and efficiency through software, compiler, runtime, and hardware-aware optimizations.

Responsibilities

• You’ll work across modern datacenter and agentic AI workloads—including Java, Python, PHP, Node.js, Lua, Go, and Rust—to identify performance bottlenecks and develop software, compiler, runtime, and hardware-aware optimizations that improve throughput, latency, and efficiency
• You’ll bring up and tune major runtimes, profile real-world applications, investigate memory and concurrency behavior, and explore optimizations using RISC-V Vector/Matrix capabilities and custom instructions
• You’ll also work with AI-assisted development and automated optimization workflows to accelerate the performance engineering process
• Your work will directly influence both the RISC-V software ecosystem and the architecture of future Tenstorrent CPUs

Skills

• You're a performance engineer who enjoys getting deep into runtimes, compilers, applications, and CPU microarchitecture to understand why software is fast—or slow
• You have hands-on experience optimizing software on RISC-V or another modern CPU architecture, with a strong understanding of the hardware/software boundary
• You're comfortable profiling complex systems, finding bottlenecks, forming hypotheses, and iterating through optimizations using data
• You're excited about emerging agentic AI development workflows and using AI tools to automate profiling, coding, benchmarking, and optimization
• You're a strong technical collaborator who can work across compiler, runtime, systems software, hardware, and performance modeling teams
• 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, with the ability to work effectively across multiple software layers
• This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded

Benefits

• Remote role, based out of North America.

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