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About the Role
Tenstorrent is seeking a Workload Performance Optimization Engineer to optimize software workloads on next-generation RISC-V platforms. This role involves working across modern datacenter and agentic AI workloads to identify performance bottlenecks and develop optimizations that improve throughput, latency, and efficiency. You will contribute to both the RISC-V software ecosystem and future Tenstorrent CPU architectures.
Responsibilities
- Optimize software workloads on next-generation RISC-V platforms.
- Work across modern datacenter and agentic AI workloads (Java, Python, PHP, Node.js, Lua, Go, Rust).
- Identify performance bottlenecks.
- Develop software, compiler, runtime, and hardware-aware optimizations.
- Improve throughput, latency, and efficiency.
- Bring up and tune major runtimes.
- Profile real-world applications.
- Investigate memory and concurrency behavior.
- Explore optimizations using RISC-V Vector/Matrix capabilities and custom instructions.
- Utilize AI-assisted development and automated optimization workflows.
Requirements
- Hands-on experience optimizing software on RISC-V or another modern CPU architecture.
- Strong understanding of the hardware/software boundary.
- Comfortable profiling complex systems, finding bottlenecks, forming hypotheses, and iterating through optimizations using data.
- Excited about emerging agentic AI development workflows and using AI tools to automate profiling, coding, benchmarking, and optimization.
- 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.
- Strong experience in performance optimization, computer architecture, compilers, or systems software.
- Hands-on experience with runtime or compiler optimization (e.g., OpenJDK/JIT, LLVM, GCC, V8, Python).
- Strong understanding of CPU performance, memory hierarchies, concurrency, garbage collection, vector/SIMD optimization, and RISC-V architecture.
- Expertise with performance profiling and analysis tools (e.g., Linux perf, runtime profilers, QEMU, tracing tools, performance modeling environments).
- Strong programming skills in Java, Python, C/C++, and RISC-V assembly.
- Ability to work effectively across multiple software layers.
- Eligible to access U.S. export-controlled technology.
Skills
- Performance Optimization
- RISC-V
- CPU Microarchitecture
- Software Runtimes
- Compilers
- Datacenter AI Workloads
- Agentic AI Workloads
- Java
- Python
- PHP
- Node.js
- Lua
- Go
- Rust
- RISC-V Vector/Matrix capabilities
- Custom Instructions
- AI-assisted development
- Automated optimization workflows
- Profiling
- Bottleneck analysis
- OpenJDK/JIT
- LLVM
- GCC
- V8
- CPU performance
- Memory hierarchies
- Concurrency
- Garbage collection
- Vector/SIMD optimization
- Linux perf
- QEMU
- Tracing tools
- Performance modeling
- C/C++
- RISC-V assembly
Location
- North America (Remote)
Work Type
- Remote
- Full-time
Experience Level
- Various seniorities
Education Level
- Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field
Salary/Compensations
- $100k - $500k including base and variable compensation targets
Benefits
- Highly competitive compensation package
About the Company
- Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency.
- Solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors.
- Our diverse team of technologists have developed a high performance RISC-V CPU from scratch.
- We share a passion for AI and a deep desire to build the best AI platform possible.
- We value collaboration, curiosity, and a commitment to solving hard problems.
Equal Opportunity
- Tenstorrent is an equal opportunity employer.