Hello,
If you are looking for a Engineering Job ? Then, This is the place where you can find All sources of Job opportunities with detailed information.
Job Category : | Engineer |
Company Name: | Mythic-AI |
Position Name: | Architectural Modeling Engineer – Remote |
Location : | Austin, TX |
Job Description : | About us: Mythic has developed a unified hardware and software platform featuring its unique Mythic Analog Compute Engine (Mythic ACE™) to deliver revolutionary power, cost, and performance that shatters digital barriers preventing AI innovation at the edge. The Mythic Analog Matrix Processor (Mythic AMP™) makes it much easier and more affordable to deploy powerful AI solutions, from the data center to the edge device. The company has raised over $165.2 million to date, has over 120 employees, and has offices in Redwood City, CA, and Austin, TX. About the role: When exploring new architectures, modeling enables quantification of the throughput and latency consequences of architectural decisions. For in-flight design efforts, the modeling effort helps to predict throughput and latency of particular AI use cases and helps to validate the implementation with the specification. The effort also enables pre-silicon development of software for validation, test, and customer targeted code. Post-silicon, the modeling effort enables software development without a hardware platform and greater profiling of code for optimization than is possible using real hardware. Here is what you’ll do: Create rapid prototyping models for estimating power and performance of new chip architectures (C++/SystemC) Create tools to map neural network design entry representations (e.g. ONNX) to new architectural proposals and estimate throughput, latency, and power Collaborate with peer engineering teams-including digital design, design verification, analog design, and firmware-to co-design and co-verify future architectures Investigate new architectural ideas, many co-designed with other system components Further responsibilities will depend on background and skills Here’s the background we hope you have: Bachelors / Masters / Ph.D. degree in electrical engineering or computer science 2 years of experience required creating performance models for architectural investigations. This experience can include time spent in academic work including papers, thesis, and dissertation work. The years required can be reduced if modeling has been related to systems for AI. Academic and work knowledge of CPU, memory system, and bus interconnect architectures Proficiency and experience with C++ / SystemC as used in modeling Proficiency and experience with hardware modeling for performance and/or power Strong communication skills, both written and spoken The following would be nice to have but not required Experience with design representations of Neural Networks (ONNX) Experience using python to analyze architectural data profiles #li-remote At Mythic, we pride ourselves in creating a culture where all employees feel valued and appreciated for the diverse perspectives and backgrounds they bring to the team. We aim to hire smart people, give them the resources they need to do their job well, and then leave the rest up to them. We celebrate individual differences and encourage people to be comfortable bringing their authentic selves to work. At the end of the day, we are committed to building a diverse workforce where everyone belongs. Mythic is an equal opportunity and affirmative action employer. It ensures equal employment opportunity without discrimination or harassment based on race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, veteran status, or any other characteristic protected by law. We look forward to reviewing your application! |
Hope, the above sources help you with the information related to Engineer. If not, reach through the comment section.