AI Engineer

AI Engineer (Automotive Software)

Full-time Hybrid

Location: Sunnyvale CA

We are a technology leader driving the transformation to AI-enabled software-defined vehicles. Our platform is essential for accelerating the shift from traditional automotive software to systems that evolve rapidly update seamlessly and improve continuously. We are seeking an AI Engineer to join our team working at the cutting edge of in-vehicle intelligence and large-scale data processing.

As an AI Engineer you will be instrumental in the end-to-end development optimization and deployment of machine learning and deep learning models that enhance vehicle systems. You will work with complex algorithms and vast datasets to create smarter safer and more intuitive vehicles.

Key Responsibilities:

• Develop and optimize deep learning architectures and machine learning models for high-performance automotive applications utilizing frameworks like TensorFlow and PyTorch.
• Transition AI models from research to production by building robust scalable MLOps pipelines and infrastructure.
• Work with real-time large-scale vehicle data including telemetry and sensor data to train and validate models for perception prediction and in-car user experiences.
• Optimize models for resource-constrained environments using tools like OnNX and TF Lite to ensure efficient deployment across vehicles.
• Collaborate closely with cross-functional teams (including software and hardware engineers) to integrate AI solutions into vehicle systems already deployed in over 5 million vehicles.
• Conduct rigorous testing and validation of AI models to ensure the safety reliability and continuous improvement of deployed systems.
• Contribute to the development of AI infrastructure and tools that support the continuous training and monitoring of production models.

The ideal candidate has a strong background in productionizing AI/ML models specifically in high-performance or resource-constrained environments and a passion for the automotive industry.

• Proven experience in developing deploying and maintaining AI/ML models in a professional or production environment.
• Deep expertise in machine learning and deep learning frameworks (TensorFlow PyTorch).
• Strong programming proficiency in Python.
• Practical experience with MLOps practices model optimization and deployment pipelines.
• Familiarity with inference formats for resource-constrained edge devices (e.g. OnNX TF Lite) is highly desirable.
• A background in processing and analyzing large-scale complex datasets ideally time-series or sensor data.

Join an established well-funded company ($110M in funding) that is a proven leader in the rapidly evolving software-defined vehicle space offering high impact and competitive compensation.

• Highly Competitive Salary: Base salary ranging from $225000 - $300000 commensurate with experience.
• High Impact: Opportunity to work on technology already in production across millions of vehicles globally.
• Dynamic Environment: Be part of a high-growth company at the forefront of automotive AI and software innovation.

Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search.

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