Tenstorrent
AI Software Intern (USA)
Austin, Texas, United States +3 · Internship · Posted Oct 7, 2026
- Location
- Austin, Texas, United States
Santa Clara, California, United States
Austin, Texas, United States
Santa Clara, California, United States - Education
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Physics/Math, or a related field.
- Visa sponsorship
- Employment is contingent on eligibility to access U.S. export-controlled technology; depending on citizenship/permanent residency status, prior license approval may be required.
About the job
Develop and optimize software, models, kernels, and infrastructure so AI workloads run efficiently on Tenstorrent hardware.
What you'll do
- Develop high-performance kernels or optimize ML models for Tenstorrent hardware.
- Build or optimize inference serving, runtime, distributed scale-out, compiler, or infrastructure software.
- Work on tools for memory planning, profiling, debugging, and emulation.
What they ask for
- Currently pursuing a BS, MS, or PhD in Computer Science, Computer Engineering, Physics/Math, or a related field.
- Experience with model quantization, kernel fusion, other optimization techniques, or low-level high-performance programming.
- Hands-on experience with PyTorch, experimenting with and deploying models for inference or training.
- Experience with C/C++, kernel development in languages such as CUDA, or Python and at least one ML framework (PyTorch, TensorFlow, JAX).
Nice to have
- Knowledge of RTL or HDL.
Pay
$50/hr - $70/hr (including base and variable compensation targets; not specified as base salary or total pay)
Tools
Tenstorrent hardware, PyTorch, C/C++, CUDA, Python, TensorFlow, JAX, RTL
AI focus
Optimizes AI models and kernels for specialized hardware and develops inference, runtime, compiler, and distributed AI infrastructure.
Model-written summary · the original posting is authoritative