Semiconductor Software Engineer

Bright Vision Technologies•Edison, NJ

22h•Remote

About The Position

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. As we continue to grow, we’re looking for a skilled Semiconductor Software Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Requirements

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.

Nice To Haves

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.

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 software-hardware 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.