Positron.ai specializes in developing custom hardware systems to accelerate AI inference.  These inference systems offer significant performance and efficiency gains over traditional GPU-based systems, delivering advantages in both performance per dollar and performance per watt.  Positron exists to create the world's best AI inference systems.

Position Overview:

As the ASIC Design Lead, you will be responsible for leading the architecture, design, and implementation of our AI inference chips. You will work closely with cross-functional teams, including software, verification, and system architects, to deliver high-performance, low-power AI accelerators. This is a key leadership role where you will influence the company’s ASIC roadmap and product innovation.

Key Responsibilities:

• Lead the architecture and design of ASIC solutions for AI inference workloads.
• Define microarchitecture, develop RTL design, and drive implementation from concept to silicon.
• Work closely with verification and validation teams to ensure robust functional correctness.
• Collaborate with physical design teams to optimize for power, performance, and area (PPA).
• Define and drive design methodologies, best practices, and process improvements.
• Interface with foundries, IP vendors, and EDA tool providers to ensure efficient design execution.
• Mentor and lead a team of ASIC designers and engineers.
• Conduct design reviews and provide technical guidance throughout the development cycle.
• Contribute to ASIC product roadmap and technology strategy.

Required Qualifications:

• Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field.
• 10+ years of experience in ASIC design, with a strong focus on high-performance computing or AI accelerators.
• Expertise in RTL design (Verilog/SystemVerilog), synthesis, and timing closure.
• Deep understanding of memory architectures, on-chip interconnects, and low-power design techniques.
• Hands-on experience with industry-standard EDA tools for logic synthesis, simulation, and verification.
• Knowledge of high-speed interfaces (PCIe, HBM, DDR, etc.).
• Experience in chip bring-up, lab validation, and silicon debug.
• Proven leadership experience, with a track record of successfully delivering ASIC products.

Preferred Qualifications:

• Advanced degree in Electrical or Computer Engineering.
• Experience with AI/ML workloads and deep learning accelerators.
• Familiarity with RISC-V, GPU, or other parallel computing architectures.
• Experience implementing Customer Owned Tooling (COT) integrated circuits.
• Understanding of software-hardware co-design for AI inference optimization.

Why Join Us?

• Be part of an early-stage startup defining the future of AI inference hardware.
• Opportunity to work on groundbreaking technology with a highly talented team.
• Competitive salary, equity, and comprehensive benefits package.
• Flexible work environment with remote work options.

If you are excited about pushing the boundaries of AI hardware and leading a world-class ASIC design team, we want to hear from you! Apply today.