Semiconductor Systems Engineer

Job Summary

Bright Vision Technologies is seeking a highly experienced Semiconductor Software Engineer with 10+ years of industry experience to design, develop, and optimize software, firmware, and automation solutions supporting semiconductor design, verification, manufacturing, and post-silicon validation. The ideal candidate will possess deep expertise in C/C++, Python, EDA tools, hardware-software integration, and software architecture, with a proven track record of delivering scalable solutions for complex semiconductor platforms.

Key Responsibilities

• Design and develop high-performance software solutions for semiconductor design, verification, and validation workflows.
• Architect and implement firmware, device drivers, and low-level software for advanced silicon platforms.
• Develop scalable automation frameworks and infrastructure for EDA tools, build systems, and compute environments.
• Design and enhance post-silicon validation, debugging, characterization, and data analysis tools.
• Optimize software performance, reliability, and scalability across multicore, embedded, and distributed computing environments.
• Collaborate closely with hardware, ASIC, FPGA, verification, and manufacturing engineering teams to enable successful silicon bring-up and production.
• Lead technical design discussions, conduct code reviews, and establish software development best practices.
• Mentor junior engineers and provide technical leadership across cross-functional teams.
• Evaluate and integrate emerging technologies, methodologies, and tools to improve engineering productivity and product quality.
• Create and maintain comprehensive technical documentation, design specifications, and development guidelines.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
• 10+ years of professional software engineering experience, including significant experience in semiconductor or embedded systems environments.
• Expert-level programming skills in C, C++, and Python.
• Extensive experience with EDA tools, ASIC/SoC verification, silicon bring-up, or post-silicon validation.
• Strong understanding of hardware-software integration, embedded systems, debugging techniques, and performance optimization.
• Hands-on experience with scripting, automation frameworks, Linux development environments, and HPC or cloud-based compute infrastructure.
• Experience with version control systems, CI/CD pipelines, and modern software development methodologies.
• Excellent analytical, problem-solving, communication, and technical leadership skills.