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About the Role
This role is on-site based out of Austin, TX or Santa Clara, CA. This posting spans multiple teams within Kernels, Models, Inference, Scaleout & our Runtime teams. One application, one recruiter screen, then we match you to the specific team and location that fits best. Teams include: Kernels, Models, Inference Server, Runtime, Scale Out, and Compiler & Infra.
Responsibilities
- Develops high performance kernels on Tenstorrent hardware
- Optimizes ML models (LLMs, vision models, video and image generation, and other architectures) for our hardware
- Development and serving-side optimization for inference server
- Builds the software engine that manages memory, task scheduling, and code execution on hardware while an application is actively running
- Manages communication and coordination between devices in a distributed AI system
- Create tools that optimize AI models into high-performance programs on Tenstorrent hardware, covering memory planning, profiling, debug, and emulation
Requirements
- Currently pursuing a BS, MS, or PhD in Comp Sci, Comp Eng, Physics/Math or a related field.
- Coursework or projects in parallel processing, machine learning or distributed systems.
- High comfort level as an end user of AI and agentic flows.
- Experience with model quantization, kernel fusion, or other optimization techniques; or low level high performance programming.
- Hands on experience working with Pytorch, experimenting with and deploying models, for inference or training.
- Experience with C/C++ or kernel development in languages like CUDA, or Python and at least one ML framework (PyTorch, TensorFlow, JAX).
- Knowledge of RTL, HDL is nice to have on certain teams.
- Applicant must be eligible to access U.S. export-controlled technology.
Skills
- Parallel processing
- Machine learning
- Distributed systems
- AI
- Agentic flows
- Model quantization
- Kernel fusion
- Optimization techniques
- Low level high performance programming
- Pytorch
- Inference
- Training
- C/C++
- CUDA
- Python
- TensorFlow
- JAX
- RTL
- HDL
Location
- Austin, TX
- Santa Clara, CA
Work Type
- On-site
Experience Level
- Internship
- All seniorities
Education Level
- BS
- MS
- PhD
Salary/Compensations
- $50/hr - $70/hr
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.
- With AI redefining the computing paradigm, 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, and 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.
- We are growing our team and looking for contributors of all seniorities.
Equal Opportunity
- We are an equal opportunity employer.