Chip Software Engineer

Bright Vision Technologies•San Diego, CA
•$80,000 - $100,000•Remote

About The Position

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. The company describes this as an opportunity to join an established organization with career growth potential. The Chip Software Engineer designs and builds software tooling, firmware, and infrastructure that support semiconductor design, verification, manufacturing, and post-silicon validation. The role partners with hardware engineers and EDA teams to create software that accelerates silicon development cycles and improves yield, performance, and quality. The engineer works with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions. The role also contributes through code and design reviews and mentorship of junior engineers, with an emphasis on strong engineering discipline, clear communication, and production-ready work. This is a 100% remote position in the United States, offered as full-time direct W2 employment. The stated annual salary range is $80,000–$100,000. The employer encourages applications from U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates, but cannot sponsor new H-1B visa petitions for this position.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
  • Six or more years of software engineering experience, including significant experience 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 low-level hardware-software interaction.
  • Experience building large-scale compute infrastructure, such as grid, cloud, or HPC systems.
  • Strong scripting and automation skills.
  • Experience with data pipelines for design or characterization data.
  • Excellent debugging and troubleshooting skills.
  • Strong communication and documentation skills.

Nice To Haves

  • Exposure to SystemVerilog or other HDLs.
  • Familiarity with UVM-based verification workflows.
  • Experience with cloud-based EDA workflows.
  • Hands-on experience applying machine learning to silicon design.
  • Advanced degree in Electrical Engineering or a related field.

Responsibilities

  • Design and build software tooling, firmware, and infrastructure for semiconductor design, verification, manufacturing, and post-silicon validation.
  • Partner with hardware engineers and EDA teams to develop software that accelerates silicon development and improves yield, performance, and quality.
  • Work with product, design, engineering, operations, and business stakeholders to translate ambiguous requirements into well-engineered solutions.
  • Participate in code reviews and design reviews.
  • Mentor more junior engineers.
  • Build and support large-scale compute infrastructure and data pipelines for design or characterization data.
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