Post Silicon Validation Engineer
GroqSalary not specified
Full Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, TechnologyIndustries
Requirements
- BS or MS in EE, CE, CS, Systems Engineering
- 3+ years of experience in a related hardware engineering position
- Excellent problem solving, collaborative, and interpersonal skills
- Knowledgeable in MOSFETs, digital design, scripting, signal integrity, statistics, timing analysis, fault analysis, sampling, computer architecture, filters
- Hands-on experience with silicon bring up, frequency and power characterization, Tester to System correlation, lab tools (oscilloscopes, multimeters, DAQ)
- Experience in critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms
- Experience with Perl, C/C++, tool and script development, Windows and Linux OS (a plus)
- Familiarity with power supply and substrate noise analysis and mitigation
- Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications
Responsibilities
- Analyze pre-production silicon in state of the art process technologies for performance, power, yield, and quality to define the world’s fastest power-shipping products
- Help design tools to automate product definitions, data collection, test case execution, and results analysis
- Develop post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations and provide design feedback
- Architect essential next-generation product features and work with multi-functional teams to drive them to production
- Find creative solutions to complex silicon and system level problems in order to enable product shipment
- Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability experts, ATE engineers, product managers, sales, and operations, in a dynamic, high-energy work environment to bring industry-defining products to market
Skills
Silicon Bringup
MOSFETs
Digital Design
Scripting
Signal Integrity
Statistics
Timing Analysis
Fault Analysis
Sampling
Computer Architecture
Filters
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