Post Silicon Validation Engineer
GroqSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, NetworkingIndustries
Requirements
- B.Sc. in Electrical Engineering or related field
- 3+ years of experience in test or validation engineering, preferably in Post-Silicon
- Hands-on coding experience (VBA, Python, C/C++, or similar)
- Strong ownership, execution and problem-solving skills
- Excellent communication and collaboration abilities
Responsibilities
- Own the product lifecycle from definition to pre-launch
- Collaborate with Architecture, Design and Verification teams to define product validation strategies
- Execute Pre-Silicon tests using emulation tools (Palladium, VTPsim)
- Define post-silicon validation plans and lead execution
- Write Test program code including new infrastructures and methodologies
- Drive product bring-up and stabilization toward Prel and production readiness
- Develop automated infrastructure to support program execution
- Coordinate cross-functional activities with DFT, Production, and Software teams
Skills
Post-Silicon Validation
Palladium
VTPsim
Python
C/C++
VBA
Teradyne
UltraFlex
DFT
Test Program Development
Emulation
Automation
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.
Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees
Benefits
Company Equity
401(k) Company Match
Risks
Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.
Differentiation
NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.
Upsides
Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.
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