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Semiconductor Systems Engineer

Job in Cary, Wake County, North Carolina, 27511, USA
Listing for: Bright Vision Technologies
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Semiconductor Systems Engineer – Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title

Semiconductor Systems Engineer

Location

100% Remote (U.S.)

Position Type

Full-time, Direct W2

Salary Range

$100,000–$150,000 Annually

Experience Required

6+ years

Sponsorship

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.

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.

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 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 tool chains, 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…
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