ML Perception Software Engineer
AI summary of the role
Build perception modules for an autonomous vehicle stack, focusing on 4D world representations and computer vision/ML techniques to enable self-driving navigation.
What you’ll do
- Train, modify, and create beyond-SOTA algorithms for constructing powerful world representations for perception, world modeling, and ML-driven autonomy
- Test and evaluate algorithms on real vehicles, owning large portions of the autonomy stack and ensuring real improvements to driving abilities
- Work closely with data, behavior, and research teams to develop advanced autonomy software for all domains and deploy to production for customers
What you’ll bring
- 3+ years of experience building software components or systems addressing real-world perception challenges
- Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field
- Strong proficiency in C++ and Python
- Experience building machine learning models from data collection to production and deployment
Technologies
C++ · Python · computer vision · machine learning · perception · world models · autonomous vehicles · ML-based perception · reconstruction · diffusion
About Applied Intuition
Builds the toolchain, vehicle OS and autonomy stacks that automakers, defense and off-road OEMs use to ship AI-driven vehicles.
Series F
Source and classification
Internal deployment & tooling · Evidence for this classification:
our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Hear from an Engineer: About the role We are looking for a software engineer with expertise in perception for autonomous vehicles or mobile robots. Your contributions will focus on building out key capabilities of perception modules within an autonomous vehicle stack, such as building 4D world representations to support end-to-end autonomy. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate. In
More from the job description
About Applied Intuition Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with offices in Washington, D.C.; San Diego; Ft. Walton Beach, Florida; Ann Arbor, Michigan; London; Stuttgart; Munich; Stockholm; Bangalore; Seoul; and Tokyo. Learn more at applied.co. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. Hear from an Engineer: About the role We are looking for a software engineer with expertise [... source excerpt omitted ...] ons will focus on building out key capabilities of perception modules within an autonomous vehicle stack, such as building 4D world representations to support end-to-end autonomy. You will also drive the design and development of computer vision and machine learning techniques to enable self-driving vehicles to navigate. In addition to your engineering contributions, by working in our dynamic and customer-focused team culture, you will contribute to and learn from best practices in the nascent autonomy industry. We move fast and focus on excellence, for our products and for our business. If you are hands-on and looking for a place to have a multiplying effect on making autonomou [... source excerpt omitted ...] de real improvements to the driving abilities Work closely with our data, behavior, and research teams to develop the most advanced autonomy software for all domains to deploy to production for our customers We're looking for someone who has: 3+ years of experience building software components or (sub) systems that address real-world perception challenges Bachelor’s in Computer Science, Electrical Engineering, Robotics, or related field Strong proficiency in C++ and Python Experience building machine learning models from data collection to production and deployment Deep understanding of the concepts and methods behind any frameworks or libraries that they worked with Intere
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