ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.

Features

Auto Apply Resume Optimizer Cover Letter Optimizer Interview Prep

Company

Social Media

Need Help?

team@applyblast.com

Technical Program Manager at Tenstorrent - ApplyBlast

Technical Program Manager

Tenstorrent

8 days ago

3.6 on Glassdoor

Austin, Texas, United States

Hybrid

Full Time

Medior

0 applicants

View Job Listing

Apply to 100+ jobs

About this role

Tenstorrent is seeking a Technical Program Manager to drive complex, cross-functional engineering initiatives for its high-performance AI hardware and software platforms. This role involves collaborating with software, hardware, and architecture teams to resolve technical challenges, improve system reliability, and streamline deployment processes. The position requires a technically grounded professional capable of translating ambiguous engineering problems into clear execution plans and leveraging data to guide decisions.

Responsibilities

Drive end-to-end execution of complex platform engineering initiatives
Coordinate across runtime, device drivers, deployment, and hardware teams
Lead reliability and scalability initiatives for AI systems

Skills

About Tenstorrent

tenstorrent.com

Headquarters

Toronto, Ontario, Canada

Company Size

201-500 employees

Founded

2016

View Profile

Tenstorrent is a next‑generation computing company that builds computers optimized for AI workloads. They design AI silicon and systems—leveraging RISC‑V, custom ASICs, and advanced architecture—alongside neural‑network compilers and software to accelerate training and inference. Headquartered in the U.S. with offices in Austin and Silicon Valley and global teams in Toronto, Belgrade, Seoul, Tokyo, and Bangalore, Tenstorrent brings together expertise in computer architecture, ASIC design, and compiler technology. Their hardware‑plus‑software approach targets developers, researchers, and enterprises needing scalable, efficient AI compute.