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.
As the ASIC Verification Lead, you will play a critical role in ensuring the functional correctness and performance of our AI inference ASICs. You will be responsible for developing and executing advanced verification methodologies, working closely with design, architecture, and software teams to validate our silicon solutions. This is an opportunity to lead a talented team and contribute to the evolution of AI hardware technology.
Key Responsibilities:- Develop and execute verification strategies for AI inference ASICs.
- Define and implement comprehensive test plans and verification methodologies.
- Lead the development of verification environments using SystemVerilog/CocoTB.
- Create and maintain simulation testbenches, directed and constrained-random tests.
- Collaborate with design and architecture teams to ensure functional coverage and closure.
- Drive debugging and root cause analysis of design issues in pre-silicon and post-silicon validation.
- Work with FPGA and emulation teams for early hardware validation.
- Manage verification schedules, deliverables, and risk mitigation plans.
- Mentor and guide junior verification engineers in best practices and methodologies.
- Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, or related field.
- 10+ years of experience in ASIC verification, including leadership roles.
- Expertise in SystemVerilog, CocoTB methodology, and simulation tools.
- Strong knowledge of verification planning, testbench development, and coverage-driven verification.
- Experience with industry-standard EDA tools (Cadence, Synopsys, Mentor Graphics).
- Hands-on experience with debugging tools, waveform analysis, and scripting (Python, Perl, or TCL).
- Familiarity with AI/ML accelerators, memory subsystems, and high-speed interconnects.
- Proven track record of successfully verifying complex ASIC designs.
- Advanced degree in Electrical or Computer Engineering or related field.
- Experience with hardware-software co-verification.
- Knowledge of formal verification techniques.
- Understanding of post-silicon validation and bring-up methodologies.
- Be part of a rapidly growing AI startup shaping the future of AI hardware.
- Work on groundbreaking technology with a highly skilled and passionate team.
- Competitive salary, equity, and comprehensive benefits package.
- Flexible work environment with remote work options.
If you are excited about ensuring the highest quality AI hardware and leading an advanced verification team, we want to hear from you! Apply today.
Top Skills
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


