If you’re passionate about building cutting-edge AI software and want to work on technology shaping the future of artificial intelligence, this opportunity at Tenstorrent could be the perfect fit. As an AI Compiler Engineer, you’ll collaborate with world-class engineers to develop compiler technologies that optimize AI workloads on next-generation hardware. With a highly competitive salary ranging from $100K to $500K, this role offers an exciting chance to contribute to breakthrough innovations while advancing your career in the rapidly growing AI industry.
Job Overview
| Field | Details |
|---|---|
| Company Name | Tenstorrent |
| Role | AI Compiler Engineer |
| Qualification | Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field (or equivalent experience) |
| Job Location | Austin, Texas, USA |
| Salary | $100,000 – $500,000 per year |
| Work Type | Hybrid / On-site (based on team requirements) |
| Job Type | Full-Time |
| Job Level | Entry Level to Senior |
| Industry | Artificial Intelligence, Semiconductor, Computer Hardware |
Job Description
- Leadership to drive compiler development across multiple layers of the stack, including custom dialects, transformation passes, and runtime integration.
- Alignment with hardware, software, and ML teams to ensure the compiler supports realistic performance and deployment needs.
- Technical ownership of roadmap priorities, planning, and mentorship for a high-performing engineering team.
- Insight to identify bottlenecks, debug performance issues, and improve developer workflows across the stack.
What We Need
- Experience building compilers or similar systems, with strong fluency in C++ and Python.
- Strong knoweledge of MLIR, LLVM, or related infrastructure, with hands-on work in dialect design or optimization passes.
- You have a strong understanding of modern AI frameworks like PyTorch, TensorFlow, or JAX, including how models are transformed and executed.
- A background in working across teams to ship reliable, scalable tools in fast-paced engineering environments.
What You’ll Learn
- How to build compiler infrastructure that supports both training and inference at scale across custom chip architectures.
- New approaches for human-in-the-loop optimization using TT-Explorer and other internal tooling.
- Best practices for evolving MLIR dialects like TTIR, TTNN, and TTKernel to support next-generation AI workloads.
- How Tenstorrent delivers open, performant, and developer-friendly AI infrastructure that scales with industry demands.
Selection Process
- Submit the online application.
- Resume screening by the recruitment team.
- Initial recruiter discussion.
- Technical interview(s).
- Coding and system design evaluation.
- Hiring manager or team interview.
- Final interview (if required).
- Offer and onboarding.
How to Apply
- Visit the official Tenstorrent careers website.
- Search for the AI Compiler Engineer position in Austin.
- Review the job description and eligibility requirements.
- Click the Apply button.
- Complete the online application form.
- Upload your updated resume and any requested documents.
- Submit your application and monitor your email for updates from the recruitment team.
