Embedded Semiconductor Engineer

Embedded Semiconductor Engineer - RemoteBright 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 TitleEmbedded Semiconductor EngineerLocation100% Remote (U.S.)Position TypeFull-time, Direct W2Salary Range$100,000–$150,000 AnnuallyExperience Required6+ yearsSponsorshipU.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 positionJob SummaryWe 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 ResponsibilitiesDesign 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 QualificationsBachelor'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 QualificationsExposure 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.