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.