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Automotive Ai Jobs (NOW HIRING)

Stellantis

AI Validation Engineer

Auburn Hills, MI · On-site

As AI-powered features become central to automotive vehicles - from ADAS perception and voice assistants to predictive diagnostics and intelligent infotainment - rigorous validation of these systems ...

Stellantis

AI Validation Engineer

Auburn Hills, MI

As AI-powered features become central to automotive vehicles -- from ADAS perception and voice assistants to predictive diagnostics and intelligent infotainment -- rigorous validation of these ...

Abaka AI

Research Program Associate

Mountain View, CA · On-site

$100K - $150K/yr

More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore ...

Abaka AI

Legal Operations Associate

Mountain View, CA · On-site

$85K - $100K/yr

More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore ...

Abaka AI

Operations (Generalist)

Mountain View, CA · On-site

$70K - $100K/yr

More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore ...

Abaka AI

Finance Operations Associate

Mountain View, CA · On-site

$85K - $100K/yr

More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore ...

Abaka AI

Project Manager

Mountain View, CA · On-site

$90K - $170K/yr

More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

More than 1,000 industry leaders across Generative AI, Embodied AI, and Automotive AI rely on us to power their data pipelines. With our headquarters in Silicon Valley-and teams in Paris, Singapore ...

NVIDIA

Senior Software Architect, DriveOS

Santa Clara, CA · On-site

$152K - $206K/yr

... Automotive AI/Autonomous System Software experience • Previous experience in highly matrixed organizations in a leadership position • Experience with formal verification of software programs • ...

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Automotive Ai information

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$33K

$65.3K

$110.5K

How much do automotive ai jobs pay per year?

As of Aug 25, 2026, the average yearly pay for automotive ai in the United States is $65,318.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What is Automotive AI?

Automotive AI refers to the integration of artificial intelligence technologies in vehicles and automotive systems to enhance safety, efficiency, and user experience. This includes applications such as driver assistance systems, autonomous driving, predictive maintenance, and smart infotainment features. AI enables vehicles to perceive their environment, make decisions, and learn from data, transforming how cars operate and interact with drivers. As the industry advances, Automotive AI is becoming crucial for developing connected, autonomous, and intelligent vehicles.

What are some common challenges faced by professionals working in Automotive AI, and how can they address them?

Professionals in Automotive AI often face challenges such as integrating AI algorithms with legacy vehicle systems, ensuring the safety and reliability of autonomous features, and keeping up with rapidly evolving technologies. Collaboration with multidisciplinary teams—including software engineers, hardware designers, and automotive safety experts—is essential to address these challenges. Staying updated on industry standards and participating in continuous learning opportunities can help professionals remain effective and innovative in this dynamic field.

What are the key skills and qualifications needed to thrive as an Automotive AI engineer, and why are they important?

To thrive as an Automotive AI Engineer, you need a strong background in computer science, machine learning, robotics, and automotive systems, typically demonstrated by a relevant degree and experience in AI-driven vehicle technologies. Familiarity with tools like Python, TensorFlow, ROS (Robot Operating System), and automotive software standards such as AUTOSAR is important, as well as experience with sensor data and simulation platforms. Strong problem-solving skills, teamwork, and the ability to communicate complex technical concepts to multidisciplinary teams set candidates apart. These skills are vital for developing safe, innovative AI solutions that advance vehicle automation and enhance driving experiences.

What is the difference between Automotive Ai vs Automotive Software Engineer?

AspectAutomotive AiAutomotive Software Engineer
Required CredentialsDegree in AI, Machine Learning, Computer Science; certifications in AI/MLDegree in Software Engineering, Computer Science; coding certifications
Work EnvironmentResearch labs, automotive R&D centers, tech companiesAutomotive manufacturers, suppliers, tech firms
Industry UsageDeveloping autonomous driving systems, sensor data analysisBuilding vehicle control software, embedded systems

Automotive Ai specialists focus on developing AI algorithms for autonomous vehicles and sensor data processing, often requiring expertise in machine learning. Automotive Software Engineers design and implement vehicle software systems, including control units and embedded applications. While both roles work within the automotive industry, Automotive Ai roles are more research and AI algorithm-focused, whereas Automotive Software Engineers concentrate on software development and integration.

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Automotive Ai jobs near you
Infographic showing various Automotive Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $65,318 per year, or $31.4 per hour.

Automotive Business Development Manager - Sales

Santa Clara, CA • On-site

Nvidia Corporation
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 246 rated software companies

Great coworkers

People enjoy working here

Good employer

Learn more about Nvidia Corporationexternal

Full-time

Re-posted 22 days ago

Job description

NVIDIA is redefining transportation through accelerated computing, AI, and autonomous driving. Our Automotive team works with global automakers, Tier 1 suppliers, mobility companies, and ecosystem partners to bring next-generation ADAS, autonomous driving, cockpit AI, and robotaxi platforms to market. We are now looking for an Automotive Business Development Manager to join our team. In this role, you will help develop new and existing business opportunities for NVIDIA's automotive platforms, support strategic customer engagements, and drive design-win opportunities across ADAS, autonomous driving, and AI-enabled vehicle architectures.
This is a highly cross-functional role that requires a strong understanding of automotive electronics, semiconductors, software platforms, and the evolving autonomous mobility ecosystem. The ideal candidate can combine critical thinking with execution rigor, build positive relationships with customers and partners, and help translate NVIDIA's technology leadership into scalable business outcomes!
What you'll be doing:
  • Identify, evaluate, and develop strategic business opportunities for NVIDIA Automotive across global OEMs, Tier 1 suppliers, mobility providers, software partners, and ecosystem players.
  • Support and drive customer engagements for NVIDIA DRIVE platforms, including ADAS, autonomous driving, cockpit AI, simulation, and robotaxi-related initiatives.
  • Work closely with Automotive product, engineering, software, regional sales, marketing, legal, finance, and operations teams to align customer requirements with NVIDIA's platform roadmap.
  • Build and manage strategic relationships with OEMs, Tier 1s, ISVs, IHVs, universities, research institutions, and ecosystem partners.
  • Help build and complete go-to-market strategies for new automotive AI and autonomous driving opportunities.
  • Develop cases, market analyses, competitive assessments, pricing inputs, and strategic recommendations to support executive decision-making.
  • Coordinate complex design-win activities across commercial, technical, legal, and operational workstreams.
  • Represent NVIDIA externally with customers, partners, collaborators, and, when appropriate, the broader automotive and technology community.
  • Track market trends across ADAS, autonomous driving, robotaxis, AI-defined vehicles, EV platforms, and automotive semiconductor architectures.
  • Support strategic alliance development to accelerate adoption of NVIDIA's automotive platforms globally.

What we need to see:
  • 12+ years of experience in automotive electronics, semiconductors, mobility, autonomous driving, ADAS, or related technology markets.
  • Bachelor's degree in business, engineering, computer science, economics, or equivalent experience. MBA preferred.
  • Deep understanding of the automotive industry, including OEM and Tier 1 decision-making processes, platform sourcing, vehicle development cycles, and production program execution.
  • Strong understanding of semiconductor platforms, AI computing, software-defined vehicles, and automotive system architectures.
  • Demonstrated ability to develop customer relationships and support complex business development or strategic partnership engagements.
  • Strong analytical skills, including proficiency in building arguments, assessing market opportunities, analyzing competitive dynamics, and supporting strategic decisions with data.
  • Strong negotiation, influencing, and stakeholder-management skills. Excellent communication skills, both written and verbal, with the ability to represent NVIDIA professionally in external engagements.
  • Capacity to collaborate effectively across global teams and prioritize multiple demands under tight timelines.
  • Strong organizational, planning, and execution skills. A collaborative approach and proficiency at working well in a fast paced, team-oriented environment.

Ways to stand out from the crowd:
  • Experience working directly with global automotive OEMs or Tier 1 suppliers on driver assistance features, autonomous vehicle initiatives, cabin electronics, or software-defined vehicle programs.
  • Familiarity with NVIDIA DRIVE, automotive AI platforms, simulation, safety, sensor architectures, or autonomous vehicle development.
  • Experience securing or supporting automotive design wins from early strategy through sourcing, commercial negotiation, development, and production.
  • Strong understanding of L2/L2+/L3/L4 autonomy, robotaxi ecosystems, and emerging AI use cases in the vehicle. Ability to connect technology, product strategy, customer needs, and commercial outcomes.
  • A reputation as a trusted teammate who can work across engineering, product, business, and executive collaborators.

NVIDIA is widely considered one of the world's most desirable employers. We attract some of the most forward-thinking and committed people in technology. If you're creative, driven, and ready to help shape the AI revolution, we want to hear from you!
Your cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 224,000 USD - 356,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 7, 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.
Nvidia logo

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

Year founded

1993

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What Nvidia employees say

Pay

Benefits

Hours and flexibility

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