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Computational Design Engineer: EDA & Scientific Computing

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Descripción del trabajo - Computational Design Engineer: EDA & Scientific Computing

About Axiomatic_AI: Axiomatic_AI is on a mission to reshape how AI integrates into the hardware world, starting with verifiable AI models that empower engineers. Our team is building the next generation of  Automated Interpretable Reasoning (AIR) , focusing on  hardware and EDA (Electronic Design Automation)  innovation. We need passionate, technically adept individuals to help take our project from  development to a commercial product . We are looking for individuals in their early career stages, with  3+ years of hands-on industry experience , who are eager to help lead this mission. If you’ve been actively contributing to  open-source semiconductor projects  or worked at top semiconductor firms, and have an interest in  merging AI and hardware design , you might be the right fit! Key Responsibilities: Contribute to and lead hardware design efforts : Work with the team to refine and commercialize open-source hardware tools, driving our project into productization. Develop and optimize numerical simulation algorithms : Collaborate with experts in  AI and scientific computing  to refine hardware design automation systems. Integrate EDA tools : Interface with industry-standard EDA tools,  including Cadence, Synopsys , or open-source alternatives, to optimize design flows. Collaborate with the community : Actively participate in  open-source hardware communities , such as  OpenROAD, FOSSi Foundation , and  SkyWater PDK , contributing to new tools and standards. Mentorship and leadership : Guide junior team members and collaborate with cross-functional teams. Requirements: Education : Bachelor’s or Master’s in  Electrical Engineering, Computer Engineering, Physics , or a related field with a focus on IC or hardware design. Experience : 3-5 years  in  EDA tools , semiconductor design, or related fields. Experience with  open-source EDA tools  (e.g.,  Yosys, OpenROAD, SkyWater PDK ) is highly valued. Strong knowledge of  digital and mixed-signal IC design . Experience working with  simulation software , such as  FDTD solvers , or collaboration on chip fabrication projects. Technical Skills : Familiarity with  hardware description languages  (e.g.,  Verilog, VHDL ). Experience in  RISC-V ,  PULP platform , or other open-source architectures is a plus. Solid understanding of  numerical methods , optimization, and  scientific computing . Team Skills : Ability to work in a collaborative, fast-paced environment, with a passion for solving tough engineering problems. Bonus: Contributions to  open-source hardware  initiatives such as  LibreCores ,  OpenTitan , or similar projects. Experience working on  multi-project wafers  or open-source silicon fabrication processes. What We Offer: Competitive compensation : Salary + stock options for long-term growth. Learning and growth : Access to state-of-the-art tools and collaboration with leading professionals in AI and hardware. Impactful work : Work on  cutting-edge technology  that will shape the future of hardware and AI integration. Flexibility : Remote-friendly work culture, allowing for a good work-life balance.
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