At Tenstorrent, we are building a new processor optimized for deep learning. Our vision is that the next quantum leap in efficacy of deep learning will be unlocked by joint optimization of both algorithms and the hardware on which they run. Our technical team is highly experienced, with a long list of pioneering semiconductor and software products under its belt.
Aside from the rare opportunity to contribute to a brand-new processor architecture, we offer a rate of learning and career progress that is only achievable at early stage companies, as well as competitive compensation and benefits packages. This is your chance to become one of the first employees of a fast-growing startup working on cutting edge technology.
We are looking for digital hardware design engineers, at any experience level.
Digital Hardware Design Engineers
Work location: Toronto, Canada
Required:
- Knowledge of ASIC design flow, validation and implementation
- Understanding of computer architecture
Nice to have:
- Experience with high frequency logic design
- Scalar and vector processor architecture
- GPU architecture and programming models
- Digital signal processing hardware
- SoC architecture
- Memory sub system architecture
- Real time hardware/firmware systems
- Assembly language programming
- Deep learning
- Leadership of small to moderate sized teams
The employment is offered at our office in Toronto and successful candidates would need to relocate to Canada. Candidates will be guided through the immigration process with all the documents and fees covered by our company.
Our selection process:
Step 1: Selected candidates will be contacted through email to set up an introductory phone call
Step 2: Tenstorrent team will organize an event in Belgrade to present the company and interview candidates
Step 3: Successful candidates will begin the immigration process. Tenstorrent will sponsor the work visa and guide the candidates through the application process
Step 4: As soon as one month later, you could be be living in one of the greatest cities in North America and working on the foundation of AI
Deadline for applications: 27.10.2017.
