Staff Emulation Methodology and Infrastructure Engineer - Tenstorrent
View Company Profile- Job Title
- Staff Emulation Methodology and Infrastructure Engineer
- Job Location
- United States
- Job Listing URL
- https://boards.greenhouse.io/tenstorrent/jobs/4429200007
- Job Description
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.
Design and development of emulation infrastructure for high-performance CPUs going into industry leading AI/ML architecture. This role requires a strong technical background and a problem-solver mindset. The entire infrastructure for Emulation deployment is coming up from scratch and this role will have a big impact on driving Tenstorrent’s products to the market.
This role is hybrid, based out of Austin, TX or Santa Clara, CA.
Responsibilities:
- Develop emulation infrastructure from scratch, leveraging both commercial and open-source emulation platforms
- Build and deploy emulation testbench components
- Create emulation focused test plans and deploy workloads ranging from operating systems to applications for functional and performance testing of the design
- Improve on emulation performance working with design team as well as vendors
- Create flows for large scale regressions on emulation platforms
Experience & Qualifications:
- BS/MS/PhD in EE/ECE/CE/CS with at least 3 years of industry experience
- Hardware Verification methodology and techniques such as emulation, assertions simulation, debug, coverage
- Emulator experience (e.g. Palladium, Veloce, ZeBu, HAPS, custom FPGA emulation solutions)
- Programming in Verilog, System Verilog
- Experience with industry standard testbench methodology, assertions, coverage
- Debug tools or waveform viewers.
Compensation for all engineers at Tenstorrent ranges from $100k - $500k including base and variable compensation targets. Experience, skills, education, background and location all impact the actual offer made.
Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.
Due to U.S. Export Control laws and regulations, Tenstorrent is required to ensure compliance with licensing regulations when transferring technology to nationals of certain countries that have been licensing conditions set by the U.S. government.
Our engineering positions and certain engineering support positions require access to information, systems, or technologies that are subject to U.S. Export Control laws and regulations, please note that citizenship/permanent residency, asylee and refugee information and/or documentation will be required and considered as Tenstorrent moves through the employment process.
If a U.S. export license is required, employment will not begin until a license with acceptable conditions is granted by the U.S. government. If a U.S. export license with acceptable conditions is not granted by the U.S. government, then the offer of employment will be rescinded.
Everything You Need, One Platform.
From job listings to startups, investors to funding rounds, and everything in between, Employbl puts the power in your hands. Why wait?
Start your free trial today!Stay Ahead of the Curve
Sign up for our newsletter to stay informed about the latest startups and trends in the tech market. Let Employbl be your guide to success.
Tenstorrent Company Size
Between 200 - 500 employees
Tenstorrent Founded Year
2016
Tenstorrent Total Amount Raised
$334,550,016
Tenstorrent Funding Rounds
View funding detailsSeries Unknown
$100,000,000 USD
Series C
$200,000,000 USD
Series B
$20,700,000 USD
Series Unknown
$499,999 USD
Series A
$12,500,000 USD
Seed
$850,000 USD