Digital & Mixed-Signal Verification Engineer
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Role details
Tech stack
Job description
We are looking for an experienced digital and mixed-signal verification engineer who excels working in large complex systems with and enjoys utilizing a broad set of skills. This person will do everything from RNM creation to verifying top-level algorithms, all while ensuring interfaces, specifications, and features are clear between multiple teams. This role is largely responsible for ensuring Mythic’s analog compute core can be accurately and thoroughly verified by the digital and mixed-signal verification flow, and is expected to contribute to methodology.
Requirements
- Significant experience with verification of RNMs in mixed-signal / SoC verification
- Extensive digital verification background
- UVM expertise
- Verification (and ownership a plus) of RTL for mixed-signal controllers and FSMs (for Data Converters, PLLs, Power Converters, etc.)
- Experience tracking and communicating mixed-signal interface requirements/specifications
- Ability to work cross-functional teams with humility
- Excellent communication skills, especially resolving ambiguity, * Project leadership experience
- Experience in Virtuoso
- Cadence tool setup and infrastructure knowledge (reasonable ability to debug)
- Strength in linux (reasonable ability to debug)
About the company
Mythic’s platform delivers the power of desktop GPU in a single low-power chip, supporting inference for large deep neural networks. Mythic’s technology is based upon an entirely new hybrid digital/analog flash calculation using non-volatile memory arrays which has been under development since 2012. This step change in performance enables a range of new applications in many markets, including safety and security, autonomous vehicles, VR/AR, robotics, and media. Mythic’s AI hardware combines knowledge across many domains, including AI, compilers, computer architecture, analog circuits, and non-volatile memories. Mythic will enable the future of AI by building analog-compute hardware platforms that are 100-1000x more efficient than conventional all-digital systems
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