Engineering Manager (Perception, Self-Driving Systems)

Join Applied Intuition, a leading company in autonomous vehicle software infrastructure. As an Engineering Manager for the Perception team, you will own the perception model at the core of our autonomy stack, leading a team of perception engineers and driving a camera-first perception strategy. You will be hands-on in architecture and training decisions, managing the model lifecycle from training to deployment on embedded compute.

• Lead the team responsible for the architecture, training, evaluation, and deployment of the perception model at the core of the autonomy stack.
• Drive a camera-first perception strategy, progressively reducing dependencies on HD maps and lidar, and ensuring model performance across various deployment surfaces.
• Recruit, develop, and technically lead a team of perception engineers, setting high technical standards and fostering a culture of rigorous experimentation and measurement.

• 2+ years managing a perception team, with ability to both set direction and contribute to architecture and training decisions directly
• 5+ years in ML/deep learning for perception or 3D scene understanding. Deep hands-on experience training and deploying vision models at scale
• Experience building production perception systems, especially camera-only or camera-first solutions
• Strong software engineering in Python and C++, comfortable across the stack from training code to onboard inference integration
• Track record deploying perception models to embedded hardware under real-time latency and compute constraints, including device-specific optimizations
• Experience scaling perception models across multiple geographies, sensor setups, or vehicle platforms
• Bachelors degree in any field, or equivalent combination of education and work experience
• Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles
• Experience at an AV company that has shipped perception to production
• Experience with closed-loop simulation for perception model evaluation (neural sim, log sim, scenario-based testing)
• Familiarity with occupancy-based scene representations, sparse query-based architectures, or temporal aggregation approaches
• Deep familiarity with transformer-based architectures for 3D perception, BEV representations, multi-task learning, and dense prediction
• Experience reducing or removing map dependencies in perception systems
• Background in autolabel pipelines, data quality monitoring, or data flywheel design for perception