Senior Architect, SoC Modelling at NVIDIA

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SemiconductorsIndustries

Requirements

Bachelor's Degree (or equivalent experience) in a relevant discipline (Computer Science, Electrical Engineering or Computer Engineering) with 10+ years of relevant work experience
Strong programming ability: C++, C along with a good understanding of build systems (CMAKE, make), toolchains (GCC, MSVC) and libraries (STL, BOOST)
Computer Architecture background with experience in modelling with SystemC & TLM preferred
Familiarity with Docker, Jenkins, Python, Perl
Excellent communication and interpersonal skills and ability to work in a distributed team environment

Responsibilities

Modelling and analysis of graphics and / or SOC algorithms and features
Lead cmodel chip execution end to end working with various stakeholders both internal and external
Drive the next generation Infra initiatives
Work in a team to document, design, develop tools to analyze and simulate, validate, and verify models
Develop tests, test plans, and testing infrastructure for new architectures/features
Code coverage analysis and reporting

Skills

Key technologies and capabilities for this role

C++CCMakemakeGCCMSVCSTLBoostSystemCTLMDockerJenkinsPythonPerl

Questions & Answers

Common questions about this position

What is the salary for the Senior Architect, SoC Modelling position?

This information is not specified in the job description.

Is this a remote position, or what is the location policy?

The position is hybrid.

What skills are required for this role?

Required skills include strong programming in C++ and C, understanding of build systems like CMAKE and make, toolchains like GCC and MSVC, libraries like STL and BOOST, computer architecture background with SystemC & TLM experience preferred, familiarity with Docker, Jenkins, Python, and Perl, plus excellent communication skills.

What is the company culture like at NVIDIA for this team?

NVIDIA features forward-thinking and hardworking people, world-class architects, and a distributed team environment focused on innovating in graphics and parallel computing to deliver top performance.

What makes a strong candidate for this Senior Architect role?

A strong candidate has a Bachelor's degree in Computer Science, Electrical Engineering, or Computer Engineering with 10+ years of relevant experience, passion for crafting high-performance GPUs and SoCs, and loves the challenge of advancing GPU architecture.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free