Senior Autonomy Engineer

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.

• 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

• 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)

• Publications in computer vision, NLP, or robotics.

• Experience with drones and flight computers such as PX4.

• Experience in evaluating and improving system-in-the-loop model performance.