Hardware Software Integration Engineer

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company is seeking an experienced Hardware Software Integration Engineer to develop software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. The role involves collaborating with hardware and EDA teams, translating requirements into production-quality solutions, and mentoring junior engineers.

Responsibilities:

• Design and build software tooling, firmware, and infrastructure that support semiconductor design, verification, manufacturing, and post-silicon validation
• Partner with hardware engineers and EDA teams to build software that accelerates silicon development cycles and improves yield, performance, and quality
• Work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions
• Raise the bar through code review, design review, and mentorship of more junior engineers

Requirements:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field
• Six or more years of software engineering experience, with significant time in semiconductor environments
• Strong programming skills in C, C++, and Python
• Hands-on experience with EDA, verification, or post-silicon validation workflows
• Solid understanding of hardware-software interaction at a low level
• Experience building large-scale compute infrastructure (grid, cloud, HPC)
• Strong scripting and automation skills
• Experience with data pipelines for design or characterization data
• Excellent debugging and troubleshooting skills
• Strong communication and documentation skills
• Exposure to SystemVerilog or other HDLs
• Familiarity with UVM-based verification workflows
• Experience with cloud-based EDA workflows
• Hands-on experience with ML applied to silicon design
• Advanced degree in EE or related field