Senior Computational Design Engineer

Our client is looking for a senior professional with 7 years of industry experience, enthusiastic about driving AI-forward hardware development. If you have a track record of working on open-source semiconductor projects or have held leadership positions at leading semiconductor companies, and are passionate about integrating AI with hardware design, they want to hear from you!

Key Responsibilities:

• Lead Hardware Design Strategy: Define and lead strategic initiatives to advance open-source hardware tools and transform them into market-ready products.
• Architectural Oversight and Development: Develop and optimize complex numerical simulation and hardware design automation algorithms, working closely with AI and scientific computing teams.
• Advanced EDA Tool Integration: Lead efforts to integrate standard EDA platforms (e.g., Cadence, Synopsys) and open-source options into existing workflows, driving efficiency and innovation.
• Community Leadership: Act as a key representative in open-source hardware communities such as OpenROAD, FOSSi Foundation, and others, influencing industry standards and contributing to foundational projects.
• Technical Mentorship and Leadership: Provide high-level guidance and mentorship to engineering teams, while also engaging in cross-functional collaboration to ensure alignment across various teams.

Requirements:

• Education: Advanced degree (Master's or PhD preferred) in Electrical Engineering, Computer Engineering, Physics, or a relevant discipline, with a focus on IC/hardware design.
• Experience:
• 7-10 years in semiconductor design, EDA tools, or related roles.
• Demonstrated experience with open-source EDA tools (e.g., Yosys, OpenROAD, SkyWater PDK) is highly desirable.
• Expertise in digital or mixed-signal IC design and simulation, with experience in FDTD solvers or managing chip fabrication processes.
• Technical Skills:
• Deep knowledge of hardware description languages such as Verilog or VHDL.
• Proven experience with open-source hardware architectures, such as RISC-V or the PULP platform.
• Advanced understanding of numerical methods, optimization techniques, and scientific computing.
• Ability to architect and optimize hardware solutions for complex problems.
• Leadership & Team Collaboration:
• Extensive experience in leading teams, setting strategic direction, and making impactful technical decisions.
• Strong passion for tackling challenging engineering problems and working effectively within a fast-paced, team-oriented environment.

Additional Benefits:

• Significant contributions to open-source initiatives (e.g., LibreCores, OpenTitan) are a major plus.
• Experience working on multi-project wafers or open-source silicon fabrication processes.

What They Offer:

• Compensation: Highly competitive salary and substantial stock options for long-term incentives.
• Professional Growth: Opportunities to work with cutting-edge tools and collaborate with industry-leading experts in AI and hardware.
• High Impact Work: Lead projects that shape the future of AI-hardware integration.
• Work Flexibility: A remote-friendly culture that promotes work-life balance and autonomy.