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About the Role

As a Senior Autonomy Engineer on the UK Engineering team, you will lead the design, development, and verification of high-performance autonomy solutions for the defense industry. You will write perception and planning algorithms, optimize performance, and develop robust system architectures. Collaborating with cross-functional teams, you will translate requirements into technical solutions while mentoring junior engineers. The role also involves continuous innovation, testing, debugging, documentation, while staying at the forefront of AI technology.

Responsibilities

Prototype, evaluate, refine, and deploy state-of-the-art ML algorithms and solutions for defense use cases
Leverage established products at Applied Intuition to build the software and infra foundation for behavior-specific ML development.
Tightly collaborate with perception and planning engineers on many cross-team initiatives
Work closely with product managers to understand requirements and translate them into technical solutions
Train and mentor junior engineers as we grow the UK team, fostering a culture of learning and improvement
Stay updated with industry trends, emerging technologies, and best practices to enhance product development

Requirements

Experience developing autonomous vehicle solutions for aerospace and defense
Experience with the end-to-end development cycle of deep learning models
Expertise in subdomains such as modeling, input pipelines, evaluation, deployment, and model optimization
5+ years of experience building production software using modern software practices
Fluency in C++, or fluency in Python with intermediate experience in C++
References who will describe them as low-ego, highly motivated, thoughtfully opinionated, strong communicators and curious listeners
General willingness to travel for company business between our offices, as well as to customer sites
Must have ability to hold UK Security Clearance (current or previous preferred)

Skills

Perception algorithms
Planning algorithms
System architectures
AI technology
ML algorithms
Deep learning models
C++
Python
Computer vision
NLP
Robotics
Drones
Flight computers
PX4

Location

Sunnyvale, California
Washington, D.C.
San Diego
Ft. Walton Beach, Florida
Ann Arbor, Michigan
London
Stuttgart
Munich
Stockholm
Bangalore
Seoul
Tokyo

Work Type

In-office
Occasional remote work

Experience Level

Senior
5+ years of experience

About the Company

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.

Equal Opportunity

Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.