Semiconductor Software Engineer

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly applications.

Job Title: Semiconductor Software Engineer

Location: 100% Remote (Continental United States)

Position Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party)

Experience: 6+ years

Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates.

Compensation: Competitive base salary commensurate with experience, plus benefits.

Job Summary: 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. You will work closely with cross‑functional partners—product, design, engineering, operations, and business stakeholders—to translate ambiguous requirements into well‑engineered solutions.

The successful candidate brings strong engineering discipline, clear communication, and a track record of shipping meaningful work that holds up well in production.

Key Responsibilities:

• Design and build software tooling that accelerates semiconductor design and verification workflows.
• Develop firmware and low‑level software interacting directly with silicon, including drivers and BSPs.
• Build infrastructure to support 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 many parts and test environments.
• Build data pipelines for design, verification, and characterization data, supporting downstream analytics and ML.
• Implement debug tooling and diagnostic infrastructure for hardware bring‑up and silicon characterization, giving engineers fast feedback loops during critical validation windows.
• 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 that span the software‑hardware boundary, ensuring that abstractions, interfaces, and constraints between the two domains are well‑understood.
• Contribute to internal libraries and tooling shared across silicon design teams.
• Maintain comprehensive, current technical documentation—including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures—to keep systems supportable and auditable.
• Mentor and coach junior and mid‑level engineers through code review, design review, pair programming, and structured knowledge sharing.
• Continuously evaluate emerging hardware platforms and tool chains, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on adoption or deferment.

Required Qualifications:

• 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.

Preferred Qualifications:

• Exposure to System Verilog or other HDLs.
• Familiarity with UVM‑based verification workflows.
• Experience with cloud‑based EDA workflows.
• Hands‑on experience with ML applied to…