Systems Software Engineer - Automotive at NVIDIA

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

Masters in Science in EE/CS
1+ years of experience
Expertise in C & Python programming
Strong interpersonal communication skills
Understanding of Operating systems fundamentals
Understanding of processor architecture fundamentals
Proficiency in REST API and scripting languages

Responsibilities

Designing and developing system software, applications and tools for NVIDIA SOC and GPU hardware based platforms
Using your operating systems, computer architecture and product life-cycle knowledge and experience
Working with teams across the company to design and develop processes for safer software
Influencing how large teams work, using the set of tools and infrastructure you help develop
Developing creative solutions to improve overall efficiency

Skills

Key technologies and capabilities for this role

CPythonREST APIOperating SystemsProcessor ArchitectureARMDevice DriversQNXMISRA-CSoC BringupReal-time Programming

Questions & Answers

Common questions about this position

What education and experience are required for this Systems Software Engineer role?

A Master's in Science in EE/CS and 1+ years of experience are required.

What key skills are needed for this position?

Expertise in C & Python programming, strong interpersonal communication skills, understanding of operating systems fundamentals, understanding of processor architecture fundamentals, and proficiency in REST API and scripting languages are required.

What is the salary or compensation for this role?

This information is not specified in the job description.

Is this a remote position or does it require working in an office?

This information is not specified in the job description.

What makes a candidate stand out for this Systems Software Engineer position?

Background in device driver programming for ARM based processors, experience in Pre-Silicon/Post-Silicon bringup of complex SoCs, experience with QNX and real time programming, experience in Automotive Safety Standards and MISRA-C, and demonstrated initiative to resolve large and complex problems will help you stand out.

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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