Senior Software Engineer, Planning and Controls - Autonomous Vehicles at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

BS or higher in an engineering or technical field (Mechanical, Electrical, Computer Science, Physics, etc.) or equivalent experience
12+ years of practical experience
Experience writing software in C++
Experience with prediction model training/deployment
Comfort with an Agile/Scrum software development environment using Gerrit (or similar)
Comfort developing software with GIT in a Linux environment

Responsibilities

Architecting new designs to enable new functions or to improve performance
Leading engineering efforts to develop, tune, and verify algorithms and software using both ML based approach and classical approach in vehicle, VRU, and other object prediction
Debugging and addressing different issues identified in simulations and in test drives
Collaborating with our globally distributed team to enhance the software architecture, improving development processes and tooling
Defining and verifying product requirements through detailed analysis, simulation, in-car testing, and benchmarking existing products
Maturing prototype software to production quality

Skills

Key technologies and capabilities for this role

C++Machine LearningPrediction ModelsGitLinuxAgileScrumGerritAutonomous DrivingADASISO 26262

Questions & Answers

Common questions about this position

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

The role requires a BS or higher in an engineering or technical field or equivalent experience, along with 12+ years of practical experience.

What programming skills are necessary for this position?

Experience writing software in C++ is required, along with comfort developing software with GIT in a Linux environment.

Is this a remote position, or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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

Candidates stand out with experience shipping automotive software products especially in Autonomous Driving or ADAS, exposure to ISO 26262 and safety standards, expertise in deep learning-based prediction systems, and knowledge of fundamental physics models.

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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