Semiconductor Software Engineer

Semiconductor Software Engineer

Job Title: Semiconductor Software Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary: 100k - 150k Sponsorship: No new H1B sponsorship available. H1B transfers welcomed for qualified candidates. Employment Type: Full-time, direct W2 with Bright Vision Technologies (no C2C, no 1099, no third-party) Engagement: Long-term, multi-year, aligned to the Bright Vision SOW delivery roadmap Compensation: Competitive base salary commensurate with experience, plus benefits.

This is a 100% remote, full-time, direct W2 position with Bright Vision Technologies. This role is part of Bright Vision Technologies' in-house Statement of Work (SOW) engagement. The client, end customer, and employer for this position is Bright Vision Technologies — there is no third-party client, vendor, or implementation partner involved. We do not engage in C2C, 1099, or third-party arrangements for this role. BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. Candidates must be willing to work directly as a full-time W2 employee of Bright Vision Technologies and contribute to our in-house SOW deliverables. No new H1B sponsorship is available for this role. However, candidates who are currently on a valid H1B visa and require a transfer are welcome to apply. We will support H1B transfers for qualified candidates. For every role, a technical coding assessment is mandatory. Please apply only if you are confident in your technical abilities and hands-on experience.

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. The ideal candidate will combine strong software engineering fundamentals with practical experience working alongside hardware teams in EDA, verification, or post-silicon environments. 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. The successful candidate brings strong engineering discipline, a clear communication style, and a track record of shipping meaningful work that holds up well in production.

• 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 many 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 on the silicon-software interface 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 and respected across the team.
• 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 — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.
• Mentor and coach junior and mid-level engineers through code review, design review, pair programming, and structured knowledge sharing, helping the broader team grow in technical maturity and confidence over time.
• Continuously evaluate emerging hardware platforms and toolchains, assessing maturity, fit for purpose, and total cost of ownership, and make grounded recommendations on which to adopt, pilot, or defer based on real engineering needs.

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 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.