ZipRecruiter

Log In

1

Automotive Ai Jobs (NOW HIRING)

Bosch Group

Lead Architect- Automotive AI Cockpit

Plymouth, MI · On-site

$52.50 - $72/hr

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to ...

Bosch Group

Lead Architect- Automotive AI Cockpit

Plymouth, MI · On-site

$52.50 - $72/hr

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to ...

Informa

Senior Principal Analyst

Newton, MA

Help develop and execute a comprehensive research agenda on automotive technology trends, including ADAS/Autonomy, automotive AI, digital cockpit/smart cockpit, automotive software, and the ...

Shield AI

Technical Recruiter, Software

Boston, MA · On-site

$120K - $180K/yr

Build and execute proactive sourcing strategies for difficult-to-find technical talent across aerospace, defense, robotics, autonomous systems, automotive, AI/ML, and adjacent industries * Act as a ...

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 • ...

next page

Showing results 1-20

All JobsAutomotive Ai Jobs

Automotive Ai information

See salary details

$33K

$65.3K

$110.5K

How much do automotive ai jobs pay per year?

As of Jun 12, 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 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.

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 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.
More about Automotive Ai jobs
What cities are hiring for Automotive Ai jobs? Cities with the most Automotive Ai job openings:
What states have the most Automotive Ai jobs? States with the most job openings for Automotive Ai jobs include:
What job categories do people searching Automotive Ai jobs look for? The top searched job categories for Automotive Ai jobs are:
Automotive Ai jobs near you
Infographic showing various Automotive Ai job openings in the United States as of June 2026, with employment types broken down into 74% Full Time, and 26% Part Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $65,318 per year, or $31.4 per hour.

Technical Lead- Automotive AI Cockpit

Bosch Group

Plymouth, MI • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago

Job description

Company Description
At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.
Let's grow together, enjoy more, and inspire each other. Work #LikeABosch
• Reinvent yourself: At Bosch, you will evolve.
• Discover new directions: At Bosch, you will find your place.
• Balance your life: At Bosch, your job matches your lifestyle.
• Celebrate success: At Bosch, we celebrate you.
• Be yourself: At Bosch, we value values.
• Shape tomorrow: At Bosch, you change lives.
Job Description
Role Overview
We are seeking a highly skilled Technical Lead / Architect to drive the design, development, and delivery of next-generation AI-powered smart cockpit solutions for Automotive. This role will lead the technical vision and execution of an intelligent, context-aware in-vehicle experience that transforms the cockpit into a proactive, personalized companion for drivers and passengers.
You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to production.
Key Responsibilities
  • Define and own the end-to-end architecture for AI-driven smart cockpit systems across hardware, middleware, and application layers
  • Lead design and implementation of AI/ML pipelines, model optimization, deployment, and lifecycle management
  • Architect multi-model/LLM orchestration and on-device model adaptation (fine-tuning, distillation) for edge automotive deployment, including model selection, routing, and inference optimization on GPU/NPU SoCs
  • Architect efficient edge AI execution, optimizing models for CPU/GPU/NPU (quantization, pruning, latency, power)
  • Design hybrid edge-cloud architectures for personalization, continuous learning, and scalable feature delivery
  • Integrate multimodal AI capabilities (voice, vision, sensor fusion) with real-time and safety-critical constraints
  • Establish robust data pipelines, telemetry, and feedback loops, enabling continuous model validation, performance monitoring, and iterative improvement of AI capabilities in production
  • Define the AI evaluation and observability framework, including model quality testing, regression checks, and production monitoring tied to release readiness
  • Drive technical program execution across architecture, AI, and integration workstreams - including planning, dependencies, risk management, milestone tracking, cross-functional coordination, and stakeholder communication - to ensure on-time, high-quality production readiness

Qualifications
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field with 5+ years of experience in AI/ML-driven system development.
  • Strong hands-on expertise in machine learning, deep learning, and AI system design, with experience deploying models on edge, embedded, or automotive platforms.
  • Experience integrating AI and Generative AI/LLM-based capabilities into real-time, resource-constrained environments.
  • Strong knowledge of edge AI optimization techniques (quantization, pruning, distillation) and proficiency in Python and C++, along with experience in embedded AI lifecycle management, including OTA updates and fleet telemetry.
  • Hands-on experience with LLM/generative-AI orchestration and model fine-tuning/adaptation in real-time, resource-constrained environments.
  • Strong understanding of cloud platforms architecture and edge-cloud orchestration, and proven ability to lead cross-functional engineering teams.

Preferred Qualifications
  • Knowledge of automotive cockpit systems (voice assistants & personalization)
  • Experience with on-device voice pipelines (ASR/TTS) and inference-serving stacks on various SoC/processors
  • Exposure to user experience design for in-vehicle systems

Key Competencies
  • Strong technical leadership and architectural thinking
  • Ability to balance innovation with production readiness
  • Excellent communication and stakeholder management skills
  • Strategic mindset with hands-on execution capability
  • Passion for shaping the future of AI-defined vehicles

What You'll Work On
  • AI-powered assistants that understand driver intent and context
  • Personalized, self-learning cockpit experiences
  • Seamless integration of infotainment, productivity, and safety features
  • Next-gen human-machine interfaces (voice, gesture, multimodal AI)

Additional Information
All your information will be kept confidential according to EEO guidelines.
By choice, we are committed to a diverse workforce - EOE/Protected Veteran/Disabled.
BOSCH is a proud supporter of STEM (Science, Technology, Engineering & Mathematics) Initiatives
• FIRST Robotics (For Inspiration and Recognition of Science and Technology)
• AWIM (A World In Motion)
Equal Opportunity Employer, including disability / veterans
*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!
#LI-JM1

Apply