System Software Integration Engineer at NVIDIA

Stuttgart, Baden-Wurttemberg, Germany

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Artificial Intelligence, Autonomous VehiclesIndustries

Requirements

Bachelor’s or Master’s degree in an engineering field
Over 5 years of experience as an ADAS software engineer at a Tier 1, OEM, or equivalent
Proficiency in C/C++
Scripting languages: Python, Bash, etc
Top-notch debugging abilities
Solid grasp of embedded systems, real-time operating systems, ADAS sensor sets, and software integration principles
Knowledge of Autosar (Adaptive and Classical)
Proficient in Linux and QNX environments
Extensive knowledge of autonomous vehicle stack integration and firsthand experience in overcoming system challenges
Familiarity with CI/CD topics, version control, and Docker
Knowledge of vehicle architecture and communication protocols such as CAN, Flexray, and Ethernet
Regular presence in the Sindelfingen/Stuttgart area
Flexibility in work hours

Responsibilities

Seamlessly integrate and optimize system software components for automotive applications
Craft and maintain automation pipelines to streamline processes
Dive deep into analysis, diagnosing root causes, and refining the product experience
Collaborate globally with engineering teams in the US, APAC, and Europe to deliver cutting-edge solutions
Focus on developing and testing infrastructure components to preempt issues before they impact vehicles

Skills

C/C++

Python

Bash

Autosar

Linux

QNX

Docker

CI/CD

CAN

Flexray

Ethernet

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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