Senior Software Engineer, Perception - 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, Artificial IntelligenceIndustries

Requirements

BS, MS or PhD in Computer Science or related fields (or equivalent experience)
Proven work experience (8+ years) on embedded platforms for real-time applications as a Software Engineer or Software Developer
Strong programming skills in C++ and Python
Experience with test-driven development
Experience with disciplined, design based approach to software development
Proficiency in software engineering tools
Ability to document requirements and specifications
Outstanding communication and collaboration skills

Responsibilities

Execute full software development life cycle (SDLC)
Write well-designed, testable code
Integrate perception (but not limited) software components into a fully functional software system
Develop software verification plans and quality assurance procedures
Document and maintain software functionality
Solve, debug and upgrade existing systems
Stay in sync with project plans and industry standards
Deploy state-of-the art perception DNN models to embedded platforms
Analyze and improve the system using both real and synthetic benchmark data

Skills

Key technologies and capabilities for this role

C++PythonEmbedded SystemsReal-time ApplicationsTest-driven DevelopmentSoftware Development LifecycleDNN ModelsDeep LearningPerception Algorithms

Questions & Answers

Common questions about this position

What is the salary range for this 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.

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

This information is not specified in the job description.

What skills are required for this Senior Software Engineer role?

Required skills include 8+ years of experience on embedded platforms for real-time applications, strong programming in C++ and Python, experience with test-driven development, disciplined design-based software development, proficiency in software engineering tools, and strong communication and collaboration skills.

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

The team is a tightly-knit group that works closely together, always discussing and learning from each other, with forward-thinking and hardworking people in a creative and autonomous environment.

What makes a candidate stand out for this role?

Candidates stand out with experience in CUDA/SIMD, deploying DNN models to embedded platforms for real-time applications, using simulated/synthetic data to improve ML models, background in deep learning frameworks like TensorFlow or PyTorch, and integration/testing on real hardware/robotic platforms.

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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