Semiconductor Software Engineer

Bright Vision Technologies is hiring a Semiconductor Software Engineer to design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. The role partners with hardware engineers and EDA teams to accelerate silicon development and improve yield, performance, and quality.

Responsibilities:

• We are seeking an experienced Semiconductor Software Engineer to design and build software tooling, firmware, and infrastructure that support semiconductor design, verification, manufacturing, and post-silicon validation
• In this role you will partner with hardware engineers and EDA teams to build software that accelerates silicon development cycles and improves yield, performance, and quality
• In this role you will work closely with cross-functional partners — product, design, engineering, operations, and business stakeholders — to translate ambiguous requirements into well-engineered solutions, and will be expected to raise the bar through code review, design review, and mentorship of more junior engineers

Requirements:

• U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply
• We are unable to sponsor new H-1B visa petitions for this position
• 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