.Computational Design Engineer: EDA & Scientific Computing 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