Senior Prediction and Planning Engineer, VLM - 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, RoboticsIndustries

Requirements

Hands-on experience building LLMs, VLMs, or VLAs from scratch or a proven track record as a top-tier coder passionate about autonomous systems
BS/MS in Computer Science or equivalent experience
8+ years of experience in the field or meaningful experience
Deep understanding of modern deep learning architectures and optimization techniques
Proven record of deploying production-grade ML models for self-driving, robotics, or related fields at scale
Strong programming skills in Python and proficiency with major deep learning frameworks
Familiarity with C++ for model deployment and integration in safety-critical systems

Responsibilities

Design and train innovative large-scale models—including generative, imitation, and reinforcement learning—to improve the planning and reasoning capabilities of driving systems
Build, pre-train, and fine-tune LLM/VLM/VLA systems for deployment in real-world autonomous driving and robotics applications
Explore novel data generation and collection strategies to improve diversity and quality of training datasets
Collaborate with cross-functional teams to deploy AI models in production environments, ensuring performance, safety, and reliability standards are met
Integrate machine learning models directly with vehicle firmware to deliver production-quality, safety-critical software

Skills

Key technologies and capabilities for this role

PythonC++LLMsVLMsVLAsDeep LearningReinforcement LearningGenerative ModelsImitation LearningAutonomous DrivingRobotics

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. 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 Prediction and Planning Engineer role?

Required skills include hands-on experience building LLMs, VLMs, or VLAs, deep understanding of modern deep learning architectures and optimization techniques, proven record of deploying production-grade ML models for self-driving or robotics, strong Python programming skills with major deep learning frameworks, and familiarity with C++ for model deployment.

What is the company culture like at NVIDIA?

NVIDIA has some of the most forward-thinking and hardworking people in the world, fosters a diverse work environment, and seeks creative and autonomous individuals.

What makes a candidate stand out for this role?

Candidates stand out with experience deploying LLM/VLM/VLA systems to autonomous vehicles or robotics, publications or open-source contributions in these areas, deep understanding of behavior and motion planning in AV applications, and a strong track record of optimizing algorithms for real-time performance and taking projects from concept to production.

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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