Embedded Semiconductor Engineer

Bright Vision Technologies•Highlands Ranch, CO
•$120,000 - $150,000•Remote

About The Position

Bright Vision Technologies is seeking an experienced Embedded Semiconductor Engineer to design and build software tooling, firmware, and infrastructure supporting semiconductor design, verification, manufacturing, and post-silicon validation. The engineer will partner with hardware engineers and EDA teams to accelerate silicon development cycles and improve yield, performance, and quality. The role involves collaborating with product, design, engineering, operations, and business stakeholders to turn ambiguous requirements into well-engineered solutions. The successful candidate will bring strong software engineering fundamentals, practical experience working with hardware teams in EDA, verification, or post-silicon environments, clear communication, and a track record of delivering production-quality work. The position also involves technical leadership through reviews and mentorship. This is an in-house Bright Vision Technologies SOW engagement with no third-party client or vendor. It is 100% remote within the Continental United States. Salary is $120,000–$150,000. Bright Vision Technologies cannot sponsor new H-1B visa petitions, but U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply.

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 low-level hardware-software interaction.
  • Experience building large-scale compute infrastructure, such as grid, cloud, or 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.

Nice To Haves

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

Responsibilities

  • Design and build software tooling that accelerates semiconductor design and verification workflows.
  • Develop firmware and low-level software that interacts directly with silicon, including drivers and BSPs.
  • Build infrastructure for large-scale EDA tool execution on compute farms and cloud platforms.
  • Develop post-silicon validation tooling, including high-throughput test orchestration, programmable stimulus generation, and result aggregation systems that scale across parts and test environments.
  • Build data pipelines for design, verification, and characterization data to support downstream analytics and machine learning.
  • Implement debug tooling and diagnostic infrastructure for hardware bring-up and silicon characterization, enabling fast feedback on the silicon-software interface during validation.
  • Partner with hardware engineers to translate hardware-specific requirements into clean software designs.
  • Optimize software for performance and scalability in compute-intensive semiconductor workflows.
  • Lead architecture and code reviews spanning the software-hardware boundary, ensuring the domains’ abstractions, interfaces, and constraints are understood and respected.
  • Contribute to internal libraries and tooling shared across silicon design teams.
  • Maintain current technical documentation, including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures.
  • Mentor and coach junior and mid-level engineers through code reviews, design reviews, pair programming, and structured knowledge sharing.
  • Evaluate emerging hardware platforms and toolchains, assessing maturity, suitability, and total cost of ownership, and recommend whether to adopt, pilot, or defer them.
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