Senior System Software Engineer - Autonomous Vehicles Platform at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, AutomotiveIndustries

Requirements

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

Responsibilities

Lead software integration with a systematic approach to streamline embedded development within NVIDIA and across NVIDIA Drive Autonomous vehicle solution partners
Architect and develop platform software, tools, filesystem customization, and software integration in various OS environments
Collaborate with other engineering teams to enable CI for automated sanity testing, car validation, and software release delivery
Proactively work with system architects, software/firmware engineers, HW/SW QA teams, and application engineering teams to drive cross-team dependency and schedule alignment, coordinate progress, and debug issues to meet production release timelines
Enhance integration efficiency to facilitate low latency development on Tegra-based Autonomous Vehicle Simulation & car platforms
Regularly engage with customer teams to productize workflows for platform integration
Work closely with other software engineers to identify and implement build and packaging infrastructure requirements, and develop automated tests to accelerate development for Autonomous Vehicles
Operate in an environment involving Hypervisor, Linux, and QNX RTOS

Skills

Key technologies and capabilities for this role

Embedded SoftwareLinuxQNX RTOSHypervisorCI/CDSoftware IntegrationFilesystem CustomizationTegraAutomated TestingBuild Infrastructure

Questions & Answers

Common questions about this position

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

The role requires 12+ years of experience working on software development for autonomous vehicles.

What are the key required skills for this position?

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

What is the salary or compensation for this role?

This information is not specified in the job description.

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

This information is not specified in the job description.

What makes a candidate stand out for this role?

Experience with cloud services, Jenkins, and Docker in CI/CD systems, prior automotive field experience, familiarity with Bazel build system, Linux and QNX filesystems with QNX RTOS, and background in automotive ECU software integration will help candidates 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.

Land your dream remote job 3x faster with AI

Try Jobo Free