Post Silicon Validation Engineer
GroqSalary not specified
- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
$60,000 – $90,000Compensation
Mid-level (3 to 4 years), Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Software Quality AssuranceIndustries
Requirements
Candidates should possess a Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, or Computer Engineering, and have at least four years of relevant work experience in a Software QA role. Strong knowledge of software testing techniques, including code reviews, code coverage, unit and flow testing, use case testing, and various testing methodologies (white and black box) is required. Familiarity with CI/CD tools such as Jenkins and GitLab, along with experience using defect tracking tools like JIRA, is also desired. Strong skills in Python, Tcl, or C++ programming are needed, as well as desirable GenAI and LLM skills.
Responsibilities
As a DFX Software QA Test Dev Engineer, you will provide hardware, software, and lab support for testing and validation processes, architect highly automated and customizable Software Quality processes for design flows, craft test plans and write test cases based on user requirements and provide automation of testing, architect and maintain regression testing frameworks, perform code reviews and dynamic testing, continuously deliver high-quality, bug-free Software Applications, and work closely with diverse team members to provide DFT and DFP methodologies for industry-leading chip designs. You will also support the development of tools using C++/Python/TCL and work cross-functionally with DFT Methodology, Implementation, and design teams.
Skills
Python
Tcl
C++
Code Reviews
Code Coverage
Unit Testing
Flow Testing
Use Case Testing
White Box Testing
Black Box Testing
CI/CD
Jenkins
GitLab
JIRA
GenAI
LLM
Automation
Regression Testing
Dynamic Testing
DFT
DFP
NVIDIA
Designs GPUs and AI computing solutions
About NVIDIA
NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.
Key Metrics
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees