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Driving Cars Across Country Jobs (NOW HIRING)

Swickard Auto Group

Sales Consultant

Thousand Oaks, CA · On-site

$50K - $150K/yr

Swickard Auto Group is a hospitality company that happens to sell cars. Across 40+ rooftops, we ... Valid driver's license with clean driving record Compensation & Benefits * Competitive base pay ...

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Driving Cars Across Country information

What does driving a car across country involve?

Driving cars across country typically means transporting vehicles from one state or coast to another, either for relocation, delivery, or as part of auto transport services. This job requires responsible drivers who ensure the vehicle arrives safely and on time, sometimes working independently or for a transport company. Drivers need a valid license, good driving record, and may need to handle trip planning, fuel management, and sometimes minor paperwork. It can be a flexible job, but also involves long hours on the road and time away from home.

What are the key skills and qualifications needed to thrive as a cross-country car transport driver?

To thrive as a cross-country car transport driver, you need a valid driver’s license, a clean driving record, and strong knowledge of road safety regulations. Familiarity with GPS navigation systems, vehicle inspection checklists, and electronic logging devices is typically required. Excellent time management, attention to detail, and communication skills help drivers coordinate routes and interact with clients. These skills are crucial for ensuring safe, efficient, and reliable vehicle deliveries over long distances.

What are some common challenges faced when driving a car across the country for a job, and how can they be managed?

Driving cars across the country professionally often involves long hours on the road, navigating unfamiliar routes, and adapting to varying weather and traffic conditions. Managing fatigue is crucial, so it's important to plan regular breaks and prioritize rest. Additionally, maintaining clear communication with dispatchers and clients helps ensure timely updates and address any logistical issues that arise. Being proactive about vehicle inspections and route planning can also minimize unexpected delays and keep the journey smooth.

What is the difference between Driving Cars Across Country vs Delivery Driver?

AspectDriving Cars Across CountryDelivery Driver
CredentialsValid driver's license, clean driving recordValid driver's license, sometimes special certifications for certain deliveries
Work EnvironmentLong-distance travel, overnight stays, highway drivingLocal or regional routes, urban or suburban areas
Employer & IndustryAuto transport companies, logistics firmsFood, retail, courier services

Driving Cars Across Country involves long-haul, cross-country trips primarily for vehicle transportation, requiring endurance and planning. Delivery Drivers focus on local or regional deliveries, often within cities, emphasizing quick turnaround and customer service. Both roles require a valid driver's license, but the scope and environment differ significantly.

Do driving cars across country make money?

Driving cars across the country can be a paid job, such as a long-haul truck driver or a professional driver, and typically offers compensation based on distance, hours, or delivery milestones. Earnings depend on factors like experience, company policies, and the type of vehicle driven, with some drivers earning a steady income and others working freelance or contract-based. Skills in navigation, vehicle maintenance, and compliance with safety regulations are important for success in this role.

What are popular job titles related to Driving Cars Across Country jobs?

For Driving Cars Across Country jobs, the most frequently searched job titles are:

Infographic showing various Driving Cars Across Country job openings in the United States as of September 2026, with employment types broken down into 63% Full Time, 29% Part Time, and 8% Contract. Highlights an 100% In-person job distribution.

Senior Machine Learning Engineer, Perception - Autonomous Driving

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidia Corporationexternal

$122K - $168K/yr

Full-time

Re-posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world.
We are now looking for an extraordinary Senior Perception Engineer to develop and productize NVIDIA's autonomous driving solutions. As a member of our perception team, you will be driving E2E solutions for perception modules that are responsible for online mapping - including road layouts, lane structures, boundaries, crosswalks, and other traffic components critical for driving without reliance on HD maps. You will be challenged to improve robustness and accuracy as well as efficiency of the solutions to fully enable autonomous driving anywhere and anytime.
What You'll Be Doing:
  • Designing end2end solutions for Perception and AV stack to enable road network detections across various driving environments from complex intersections to rural curvy roads to multi-level highways.
  • Applied research and development of innovative deep learning models for lane graph construction, road boundary detection, traffic element recognition, and other static-world tasks.
  • Develop generalizable approaches to support diverse ODDs and Country/region expansion
  • Drive and prioritize data-driven development by working with large data collection and labeling teams to bring in high value data to improve perception system accuracy. Efforts will include data collection prioritization and planning, labeling prioritization, labeling efficiency optimization, so that value of data is maximized
  • Leverage data simulation and augmentation for solving extreme scenarios
  • Productize the developed perception solutions by meeting product requirements for safety, latency, and SW robustness.

What We Need to See:
  • Minimum Requirement: PhD with 4+ years, MS with 6+ years, or BS (or equivalent experience) with 8+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
  • 2+ years of technical leadership demonstrating high technical and organizational complexity is a big plus.
  • Hands-on work experience in developing deep learning and algorithms to solve sophisticated real world problems, and proficiency in using deep learning frameworks (e.g., PyTorch).
  • Experience in data-driven development and collaboration with data and ground truth teams.
  • Strong programming skills in python and/or C++.
  • Outstanding communication and teamwork skills as we work as a tightly-knit team, always discussing and learning from each other.

Ways to Stand Out from the Crowd:
  • Proven expertise in developing generalizable perception solutions for autonomous driving or robotics using deep learning with cameras.
  • Hands-on experience in developing and deploying DNN-based solutions to embedded platforms for real time applications.
  • Proven expertise in deep learning backed up by technical publications in leading conferences/journals.
  • Expertise with Transformers, BEV architectures, and modern static-world perception techniques.Experience in working on similar online mapping and complex road detection problems is a big plus.

Intelligent machines powered by AI are no longer science fiction. GPU Deep Learning has made it possible for self-driving cars to learn, perceive, and reason about the world. NVIDIA GPUs power the algorithms that enable both static world understanding and scalable perception across global road systems. Join us and help define the future of reliable, data-driven autonomous driving.
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until September 2, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

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