Applied Intuition

Forward Deployed Software Engineers deploy and integrate Applied Intuition’s vehicle intelligence products into customer operational environments. The role combines software engineering, system deployment, operating system configuration, and hardware integration to deliver high-stakes customer outcomes.

Lead the technical roadmap, architecture, and delivery of ML-first behavior prediction and planning systems for autonomous vehicles and other moving machines. This hands-on leadership role combines production machine learning, system ownership, architectural direction, and mentorship.

Build and operate the cloud infrastructure platform powering large-scale simulations, enterprise AI workloads, and multi-tenant customer applications. This senior role owns the full infrastructure stack, from Kubernetes and networking to reliability, security, and developer tooling.

Build and integrate C++ autonomy software for unmanned aerial vehicles, spanning embedded hardware, sensors, autopilots, and live flight-test environments. This hands-on role combines robotics integration, system validation, troubleshooting, and customer-facing demonstrations for defense and commercial applications.

Join Applied Intuition as a new-grad Cybersecurity Software Engineer building security into embedded vehicle platforms. The role focuses on secure boot, hardware security module integration, cryptography, and automotive security with mentorship from senior engineers.

As a Forward Deployed Engineer, you will deploy and integrate Applied Intuition’s autonomy products with customers while solving hands-on software, infrastructure, robotics, and systems challenges. This New Grad role offers end-to-end ownership from development through deployment in a customer-facing environment.

Design and integrate autonomy software across embedded hardware, sensors, vehicle platforms, and unmanned aerial systems. This hands-on robotics role supports live flight testing, customer demonstrations, and defense-focused deployments.

Build and operate reliable cloud infrastructure for large-scale autonomous-system simulation workloads across multiple customers and cloud providers. The role focuses on deployment, monitoring, reliability, and internal developer tooling.