Senior Simulation Engineer - 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

Autonomous Vehicles, AutomotiveIndustries

Requirements

BS/MS in Computer Science, Electrical Engineering, or related engineering field (or equivalent experience)
8+ years of relevant experience working in software engineering and simulation
Excellent C and C++ programming skills
Experience designing, developing, and debugging complex systems
Solid understanding of QNX, Linux and real-time operating systems
Solid understanding of simulation concepts & strong foundation in mathematics
Experience working on a large scale simulation system (open and closed loop) for an AV stack
Ability to self-manage and adapt in a dynamic environment
Excellent written and verbal communication skills

Responsibilities

Collaborate across platform software, infrastructure, and ADAS algorithm teams to translate replay and simulation requirements into replay/simulation framework architecture and design
Drive technical solutions for new concepts related to replay/simulation framework and infrastructure
Design, document and optimize software architectures and frameworks for real-world performance while matching or exceeding customer requirements
Engage in exciting, fun and challenging work involving a plethora of unsolved problems

Skills

Key technologies and capabilities for this role

C++CQNXLinuxReal-time Operating SystemsSimulation FrameworksMathematicsADASAutonomous DrivingEmbedded Systems

Questions & Answers

Common questions about this position

What is the salary range for this Senior Simulation Engineer position?

The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5, determined based on location, experience, and pay of employees in similar positions. You will also be eligible for equity and benefits.

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

This information is not specified in the job description.

What skills are required for this Senior Simulation Engineer role?

Required skills include excellent C and C++ programming, experience designing and developing complex systems, solid understanding of QNX, Linux and real-time OS, simulation concepts with strong math foundation, and experience with large-scale AV simulation systems.

What is the company culture like at NVIDIA for this team?

NVIDIA features hardworking and dedicated multi-functional engineering teams, a 'learning machine' culture that evolves by adapting to challenging opportunities, and is considered one of the most desirable employers with forward-thinking people.

What makes a candidate stand out for this position?

Candidates stand out with knowledge of automotive systems especially ADAS and autonomous driving, embedded systems and SW/HW knowledge, hands-on teamwork with detail orientation, and excellent communication and presentation skills.

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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