Applied Intuition
Robotics · Autonomous-vehicle software
Robotics · Autonomous-vehicle software
Applied Intuition currently has 63 active AI-related roles in our index. The most common open titles are: Applied Perception Engineering Lead (2), Autonomy Integration Software Engineer, C++ Software Engineer (Autonomous Systems), C++ Software Engineer - Autonomy/Physical AI, Data & ML Pipeline Software Engineer. Most positions are in Engineering and Research.
Applied Intuition's active AI hiring is concentrated in: agents (32%), data (19%), serving infrastructure (14%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Applied Intuition is hiring AI talent in: United States (58 roles), South Korea (2 roles), United Kingdom (1 role).
Job postings at Applied Intuition most frequently reference: model serving, multimodal, inference infra, agent orchestration, vision.
In the past 30 days, Applied Intuition has posted 10 new AI-related roles. That is a +25% change versus the prior 30 days (8 → 10).
| Title | Stage | AI score |
|---|---|---|
| Sensor Sim - ML Engineer This role involves applying machine learning techniques, including generative models and agentic systems, to production-grade sensor simulation for autonomous systems in industries like automotive and defense. The engineer will work on modeling worlds and sensors (Lidar, Radar, Camera) and drive the development and deployment of these ML approaches. | Agent | 8 |
| Software Engineer - AI Engineering AI Engineer role focused on building shared AI infrastructure, agent frameworks, and tooling for internal and external products. The role involves designing, shipping, and serving agentic systems, acting as a GenAI/LLM expert, and working directly with customers. It's a 0-to-1 opportunity with potential for significant impact and scaling. | AgentServe |
| 8 |
| Software Engineer - Prediction and Behavior ML Software Engineer role focused on developing ML-first behavior prediction and planning modules for autonomous systems, forecasting road user motions and interactions. The role involves prototyping, evaluating, and deploying ML algorithms, leveraging existing infrastructure, and collaborating with perception and planning teams. Requires experience in end-to-end deep learning model development and production software practices. | Agent | 8 |
| Lead Software Engineer - Autonomy/Physical AI Lead Software Engineer role focused on building backend C++ systems for physical AI and autonomy products in the defense sector. The role involves architecting, implementing, and owning high-performance infrastructure for autonomous operations in challenging environments, with a focus on shipping code and direct impact on national security. | Agent | 7 |
| C++ Software Engineer - Autonomy/Physical AI Backend C++ Software Engineer for defense autonomy products, focusing on building foundational systems for multi-domain autonomous operations at the edge. The role involves architecting, implementing, and owning high-performance backend infrastructure for autonomous systems operating in challenging environments. | Agent | 7 |
| Autonomy Integration Software Engineer Software Engineer role focused on integrating and deploying autonomy systems for physical AI applications in robotics, automotive, and defense. The role involves developing, testing, and maintaining software for autonomous vehicles, including sensor integration, perception pipelines, inter-vehicle communication, and simulation. Requires strong programming skills in Python/C++, experience with robotic systems, and CI/CD. | Agent | 7 |
| Senior C++ Software Engineer (Defense Autonomy) Senior C++ Software Engineer for a defense autonomy company, focusing on designing and implementing algorithms for multi-agent systems, real-time decision-making, and autonomous coordination. The role involves building intelligent agents for mission planning and execution, requiring strong C++ skills and experience with constraint satisfaction, scheduling, and optimization algorithms. | Agent | 7 |
| Software Engineer - Insights Platform Software Engineer for the Insights Platform team, focusing on building the data and analytics layer for physical AI development tooling. The role involves end-to-end ownership of systems for data ingestion, query infrastructure, dataset management, and agentic analytics, supporting autonomous vehicle programs. | AgentData | 7 |
| Software Engineer - Perception (Fallback Stack) Software Engineer role focused on building perception capabilities for autonomous vehicles within a simulation engine. The role involves designing and implementing perception and uncertainty signals to gate fallback behaviors, ensuring safe operation and ODD expansion. Experience with ML for uncertainty estimation, confidence calibration, or OOD detection is required, along with production-grade software practices in C++ and/or Python. | Agent | 7 |
| Software Architect - Fallback Stack Software Architect role focused on the L4 trucking fallback stack, defining its architecture, minimal risk maneuvers, and transitions to remote assistance. Requires experience in L4 autonomous driving systems and C++ programming. | Agent | 7 |
| Senior Software Engineer - Fallback Stack Software architect role focused on defining and implementing the fallback stack for L4 trucking autonomous driving systems. This involves designing strategies for degraded driving, minimal risk maneuvers, and transitions to remote assistance, as well as architecting interfaces between the vehicle stack and remote assistance platforms. Requires strong C++ and experience in autonomy software for L4 systems. | Agent | 7 |
| Engineering Manager - Behavior Engineering Manager for SDS Behavior team, leading a team to build and deploy scalable behavior systems for autonomous vehicles (cars, trucks, etc.). Owns architecture and delivery of next-generation behavior planning systems for L2 and L4 autonomous vehicles, focusing on complex environments and diverse ODDs. Involves driving architectural and business decisions, customer partnerships, team mentoring, and owning a significant portion of the autonomy stack. | AgentPost-train | 7 |