Semiconductor Software Engineer

Posted 4 Days Ago
Be an Early Applicant
2 Locations
In-Office
100K-160K Annually
Senior level
Artificial Intelligence • Information Technology • Software • Consulting
The Role
Design and build software, firmware, drivers, validation tooling, compute infrastructure, and data pipelines for semiconductor design, verification, and post-silicon workflows. Develop debugging and diagnostic systems, optimize performance and scalability, partner with hardware engineers, lead architecture and code reviews, document systems, mentor engineers, and evaluate emerging hardware platforms and toolchains.
Summary Generated by Built In
Semiconductor Software 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 Software Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$160,000 Annually
Experience Required: 8+ 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.
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 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.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected] or contact us at (908) 505-3899. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
 

Skills Required

  • 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
  • Understanding of low-level hardware-software interaction
  • Experience building large-scale compute infrastructure, including grid, cloud, or HPC environments
  • Strong scripting and automation skills
  • Experience with data pipelines for design or characterization data
  • Excellent debugging and troubleshooting skills
  • Strong communication and documentation skills
  • Exposure to SystemVerilog or other hardware description languages
  • 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
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The Company
53 Employees
Year Founded: 2020

What We Do

Bright Vision Technologies is a minority-owned organization founded in July 2020 and based in New Jersey, USA. The company specializes in delivering top-tier staffing and IT consulting services, including custom computer programming and systems design. Additionally, they are a product engineering firm with a flagship AI-powered talent intelligence and enterprise automation platform called Lumina, which helps transform IT into a strategic asset for their valued partners.

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