Sr Deep Learning Verification Engineer

Requirements

• Bachelor's degree in Electronic, Computer Engineering, Computer Science or a related field. - 8+ years of relevant industry experience, in pre-silicon validation of IP's, ASIC, SoC, or FPGA designs. - Fully proficient with industry standard verification tools and methodologies (SystemVerilog, VCS, UVM, OVM etc). - Expertise in developing testbenches, test plans, and functional/formal verification environments. - Proven track record of signing off complex designs through coverage closure and related techniques. - A self-starter with good communication and interpersonal skills. - Proven ability to collaborate in diverse team environments and take on leadership roles. - Strong problem-solving skills and ability to adapt to a fast-paced, innovative environment.
• Preferred Knowledge - Experience with C-based Software driver development and testing. - Experience with validating low power and high performance designs, HW accelerators being a major plus. - Proficiency in SystemVerilog Assertions. - Experience with formal verification techniques and tools. - Knowledge of Git and Continuous Integration (CI) practices. - Established knowledge of SoC based CPUs, NoCs, AMBA protocols, and memory controllers. - Understanding of deep learning techniques and experience working with frameworks such as TensorFlow, PyTorch, or OpenCV is an advantage. - Passion for exploring and AI techniques, tools and flows to aid in faster validation closure.
• We invite you to bring your expertise and creativity to a team that is shaping the future of AI hardware solutions.
• Apply today and join Intel's journey to transform the landscape of artificial intelligence innovation.