Lead Software Engineer

What You'll Do

• Contribute to the application of machine learning techniques aimed at streamlining traditional pre-silicon functional verification methodologies like formal verification and UVM.
• Develop agentic AI solutions using LLMs and latest ML technologies to accelerate pre-silicon Design Verification process.
• Employ AI enhanced Electronic Design Automation (EDA) tools to improve and expedite both the design and verification lifecycles.
• Engage directly with customers to understand requirements and deliver innovative, practical verification strategies.
• Collaborate effectively with machine learning and software engineering teams to validate output correctness, efficiency, and quality.
• Maintain current knowledge of advancements in AI-powered hardware verification and actively participate in fostering internal knowledge growth.
• Job Qualifications: Bachelor's degree in electrical engineering, computer engineering with 4 years of work experience or master's degree in electrical engineering, computer engineering with 2 years of work experience.
• Proven expertise and hands-on experience in at least one of the pre-silicon ASIC verification methodologies such as Formal, SV/UVM and/or OVM.
• Advanced skills in debugging pre-silicon verification failures using waveform viewers and simulation analysis tools.
• Hands-on experience with industry standard EDA tools (e.g., Jasper, Xcelium, IMC).
• Strong programming skills in Verilog, SystemVerilog and Python Excellent communication skills and the ability to thrive in a team-oriented environment.
• Self-motivated, with a proactive approach to problem solving, continuous learning, and innovation.
• Additional Skills/Preferences: Exposure to LLMs and ML technologies like RAG, RFT, RL, and Agentic frameworks would be a plus.
• We’re doing work that matters.
• Help us solve what others can’t.