New Grad- Integration Specialist
SymboticSalary not specified
Full Time
Entry Level & New Grad
Not SpecifiedCompensation
Entry Level & New GradExperience Level
Full TimeJob Type
UnknownVisa
Semiconductors, AI, GraphicsIndustries
Requirements
- In depth knowledge of computer architecture, with good understanding of modern ISA and microprocessor implementation techniques
- Good understanding of GPU concept and pipeline, in terms of Graphics processing and parallel compute
- Good mastery of C++ language
- BSEE, BSCSE, or equivalent required. MS or PhD is a plus
- Experience of performance/functional modelling, profiling and analysis is a plus
- Experience with trace-driven and execution-driven simulation model development is a plus
Responsibilities
- Investigate and propose architecture ideas based on quantitative study of existing and projected GPU architecture
- Develop performance and functional simulation models
- Develop performance and functional testplan and tests to validate new GPU architectural and features
- Test and debug on simulators, RTL and real silicon
Skills
C++
Computer Architecture
GPU Pipeline
Performance Modeling
Functional Modeling
Simulation Models
RTL
Profiling
ISA
Microprocessor Design
Shader Unit Design
Trace-driven Simulation
Execution-driven Simulation
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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