Senior System Software Engineer - AV Platform at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Automotive, Autonomous VehiclesIndustries

Requirements

BS/MS or higher in Computer Engineering, Computer Science, or related engineering fields (or equivalent experience)
8+ years of relevant industry experience
Strong software development skills in Python
Proficient debugging skills from application to kernel level on embedded hardware
Experience in software architecture design
Proven experience in embedded systems with SW/HW cross-domain knowledge
Strong communication skills and ability to collaborate with multiple cross-functional teams
Ability and flexibility to work and communicate effectively in a multinational, multi-time-zone corporate environment
Self-motivated, organized, and proactive engineer

Responsibilities

Lead software integration with a systematic approach to streamline embedded development within NVIDIA and across NVIDIA Drive Autonomous vehicle solution partners
Contribute to platform software development, tools, filesystem customization, and software integration in various OS environments
Work closely with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to manage cross-team dependencies, align schedules, coordinate progress, and debug to meet production release timelines
Regularly engage with customer teams to productize workflows for platform integration
Enhance integration efficiency to facilitate low latency development on Tegra-based Autonomous Vehicle Simulation & Car platforms
Contribute to best practices for building, testing, and releasing software
Analyze complex technical issues and independently drive resolution across multiple teams to enable the best user experience
Work in an environment involving Hypervisor, Linux, and QNX RTOS

Skills

Key technologies and capabilities for this role

PythonLinuxQNXHypervisorTegraEmbedded DevelopmentSoftware IntegrationDebugging

Questions & Answers

Common questions about this position

What experience level is required for this Senior System Software Engineer role?

The role requires 8+ years of relevant industry experience along with a BS/MS or higher in Computer Engineering, Computer Science, or related fields.

What are the key skills needed for this position?

Candidates need strong software development skills in Python, proficient debugging from application to kernel level on embedded hardware, experience in software architecture design, and embedded systems knowledge with SW/HW cross-domain expertise.

Is remote work an option for this role?

This information is not specified in the job description.

What is the salary or compensation for this position?

This information is not specified in the job description.

What makes a candidate stand out for this role?

Stand out with exposure to cloud services, Jenkins, and Docker for CI/CD, familiarity with Bazel build systems, Linux and QNX filesystems, QNX RTOS, automotive ECU software integration, or prior automotive experience.

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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