Applied Intuition
Engineering Manager - Neural Rendering
Applied Intuition - Mountain View, California, us, 94039
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Engineering Manager - Neural Rendering
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Applied Intuition
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. The company serves the automotive, trucking, construction, mining, agriculture, and defense industries, with headquarters in Mountain View, CA, and offices worldwide.
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match. About The Role We are seeking a Software Engineering Manager with a strong foundation in computer vision and experience in reconstruction techniques to lead the development of our new neural simulation product. You will be instrumental in creating a first-of-its-kind simulation tool that will enable the next generation of data-driven autonomous vehicles and position Applied Intuition as a leader in vehicle intelligence for major OEMs. Responsibilities
Build, manage, and mentor a team of world-class machine learning and software engineers. Develop a fast, scalable, and high-fidelity neural simulator for training and evaluating autonomous vehicles. Collaborate with customers to define requirements and implement solutions for the neural simulation product. Advance the state of the art in multi-sensor 4D reconstruction, view synthesis, and diffusion for dynamic scenes. Qualifications
Bachelor's degree in computer science, robotics, or related fields from a top institution. 4+ years in the machine learning field. 2+ years of people management experience. Experience with neural simulation techniques such as Gaussian splatting, NeRFs, Dust3R, and diffusion; programming in Python or C++. Preferred Skills
Experience developing software for technical end users. Research published at conferences like NeurIPS, CVPR, ICML, ICLR, ICCV/ECCV, IROS, ICRA. Experience with 4D reconstruction or diffusion in autonomous systems. Knowledge of domain gap reduction between synthetic and real data. Familiarity with classical reconstruction techniques such as VSLAM, SfM. Master’s or PhD in relevant fields. Additional Information Compensation includes base salary, equity, and benefits. The salary range is $204,000 - $343,000 annually, depending on experience and qualifications. We are an in-office company with flexible remote options for specific roles. We encourage candidates who meet most qualifications to apply, even if not all are met. We are an equal opportunity employer committed to diversity and inclusion.
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Engineering Manager - Neural Rendering
role at
Applied Intuition
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. The company serves the automotive, trucking, construction, mining, agriculture, and defense industries, with headquarters in Mountain View, CA, and offices worldwide.
Maximise your chances of a successful application to this job by ensuring your CV and skills are a good match. About The Role We are seeking a Software Engineering Manager with a strong foundation in computer vision and experience in reconstruction techniques to lead the development of our new neural simulation product. You will be instrumental in creating a first-of-its-kind simulation tool that will enable the next generation of data-driven autonomous vehicles and position Applied Intuition as a leader in vehicle intelligence for major OEMs. Responsibilities
Build, manage, and mentor a team of world-class machine learning and software engineers. Develop a fast, scalable, and high-fidelity neural simulator for training and evaluating autonomous vehicles. Collaborate with customers to define requirements and implement solutions for the neural simulation product. Advance the state of the art in multi-sensor 4D reconstruction, view synthesis, and diffusion for dynamic scenes. Qualifications
Bachelor's degree in computer science, robotics, or related fields from a top institution. 4+ years in the machine learning field. 2+ years of people management experience. Experience with neural simulation techniques such as Gaussian splatting, NeRFs, Dust3R, and diffusion; programming in Python or C++. Preferred Skills
Experience developing software for technical end users. Research published at conferences like NeurIPS, CVPR, ICML, ICLR, ICCV/ECCV, IROS, ICRA. Experience with 4D reconstruction or diffusion in autonomous systems. Knowledge of domain gap reduction between synthetic and real data. Familiarity with classical reconstruction techniques such as VSLAM, SfM. Master’s or PhD in relevant fields. Additional Information Compensation includes base salary, equity, and benefits. The salary range is $204,000 - $343,000 annually, depending on experience and qualifications. We are an in-office company with flexible remote options for specific roles. We encourage candidates who meet most qualifications to apply, even if not all are met. We are an equal opportunity employer committed to diversity and inclusion.
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