Semiconductor Systems Engineer
Bright Vision Technologies
Chapel Hill, NC, United States
10 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
C (Programming Language)
Artificial Intelligence
Data Analysis
Systems Engineering
C++ (Programming Language)
Cloud Computing
Cloud Engineering
Code Review
Computer Programming
Computer Engineering
Continuous Integration
Software Debugging
+26 more
Device Drivers
Distributed Systems
Electronic Design Automation
Linux on Embedded Systems
Firmware
Field-Programmable Gate Array (FPGA)
Python (Programming Language)
Machine Learning
Multiprocessing
Performance Tuning
Software Architecture
Real-Time Operating Systems
Software Engineering
System Programming
SystemVerilog
Systems Integration
Verilog
VHSIC Hardware Description Language (VHDL)
Scripting
Application Specific Integrated Circuits
Fpga Hardware
Linux Development
Information Technology
Build Tools
Software Performance
Software Version Control
Job description
Bright Vision Technologies is seeking a highly experienced Semiconductor Software Engineer with 10+ years of industry experience to design, develop, and optimize software, firmware, and automation solutions supporting semiconductor design, verification, manufacturing, and post-silicon validation. The ideal candidate will possess deep expertise in C/C++, Python, EDA tools, hardware-software integration, and software architecture, with a proven track record of delivering scalable solutions for complex semiconductor platforms. Key Responsibilities
- Design and develop high-performance software solutions for semiconductor design, verification, and validation workflows.
- Architect and implement firmware, device drivers, and low-level software for advanced silicon platforms.
- Develop scalable automation frameworks and infrastructure for EDA tools, build systems, and compute environments.
- Design and enhance post-silicon validation, debugging, characterization, and data analysis tools.
- Optimize software performance, reliability, and scalability across multicore, embedded, and distributed computing environments.
- Collaborate closely with hardware, ASIC, FPGA, verification, and manufacturing engineering teams to enable successful silicon bring-up and production.
- Lead technical design discussions, conduct code reviews, and establish software development best practices.
- Mentor junior engineers and provide technical leadership across cross-functional teams.
- Evaluate and integrate emerging technologies, methodologies, and tools to improve engineering productivity and product quality.
- Create and maintain comprehensive technical documentation, design specifications, and development guidelines.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
- 10+ years of professional software engineering experience, including significant experience in semiconductor or embedded systems environments.
- Expert-level programming skills in C, C++, and Python.
- Extensive experience with EDA tools, ASIC/SoC verification, silicon bring-up, or post-silicon validation.
- Strong understanding of hardware-software integration, embedded systems, debugging techniques, and performance optimization.
- Hands-on experience with scripting, automation frameworks, Linux development environments, and HPC or cloud-based compute infrastructure.
- Experience with version control systems, CI/CD pipelines, and modern software development methodologies.
- Excellent analytical, problem-solving, communication, and technical leadership skills., * Experience with SystemVerilog, UVM, Verilog, or VHDL.
- Knowledge of cloud-native EDA workflows, distributed computing, and AI/ML applications in semiconductor design.
- Experience with FPGA development, embedded Linux, or real-time operating systems (RTOS).
- Prior experience leading engineering teams or driving large-scale technical initiatives.
- Master’s or Ph.D. in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
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