Currently tracking 14 active AI roles, up 45% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $100k–$423k (avg $212k).
Applied Intuition has 5 active AI-related job listings. The majority of these roles, 80%, are focused on agents, with 20% in post-training. The company is hiring for engineering roles in the United States and Japan. Their technical focus appears to involve agent orchestration, multimodal capabilities, and vision systems. In the last 30 days, Applied Intuition posted 6 new AI roles, a 40% decrease compared to the previous 30-day period.
Applied Intuition currently has 15 active AI-related roles in our index. The most common open titles are: Autonomy Integration Software Engineer (2), Perception & Fusion Engineer (2), Robotic Software Engineer, Perception (2), Senior C++ Software Engineer (Collaborative Autonomy) (2), LVC Simulation Integration Engineer. Most positions are in Engineering and Product.
Applied Intuition's active AI hiring is concentrated in: agents (80%), data (20%). 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 (10 roles), Japan (2 roles).
In the past 30 days, Applied Intuition has posted 19 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Applied Perception Engineering Lead Lead a team developing and deploying Perception pipelines for defense applications, integrating pre-trained models into real-time sensor systems (EO/IR, Radar) and managing perception autonomy behaviors. Focus on production-level software development and deployment to hardware. | Serve | 7 |
| C++ Software Engineer (Autonomous Systems) Software Engineer role focused on developing, deploying, and maintaining the core systems for autonomous vehicles, including inter-agent communications, hardware interfaces, and sensor integration. The role involves hands-on fieldwork, testing, and deployment in real-world environments, as well as leveraging simulation. It requires strong C++ proficiency and experience with robotic systems, sensors, and autopilots. | ShipAgent |
| 7 |
| Software Engineer - Axion Data Engine and ML Ops Software Engineer role focused on building the data engine for training perception models, including edge applications and cloud data ingestion pipelines. The role involves optimizing ML model execution on edge and cloud, developing MLOps tooling, and integrating foundation models for data automation. | DataPost-train | 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 |
| V&V Test Engineer This role focuses on the verification and validation (V&V) of autonomous systems, particularly for L4 trucking. The engineer will develop and execute system validation strategies, build datasets, analyze data using statistical and machine learning models for safety performance evaluation, and identify/deploy frameworks for metric generation. The role also supports the generation of safety cases and release recommendations, with a strong emphasis on automotive industry standards and regulations. | Eval GateData | 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 |
| Embedded AI Engineer – Android Automotive (On-Device Intelligence) This role focuses on deploying and optimizing on-device ML inference and learning systems for Android Automotive. It involves implementing multimodal LLMs, integrating models with specific runtimes, profiling for strict performance budgets, and designing safety guardrails for model outputs within embedded constraints. | ServeAgent | 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 |
| Data & ML Pipeline Software Engineer Software Engineer focused on building and maintaining large-scale data processing pipelines (ETL) for ingesting and curating driving datasets, designing systems that automate data selection, labeling, training, and testing loops, and developing infrastructure to close the loop between real-world test results and new model deployments for autonomous vehicles. | DataPost-train | 7 |
| Sensor Validation Engineer This role focuses on validating and characterizing sensor performance for autonomous systems, using both ML and physical models within a simulation environment. The engineer will design tests, develop data collection tools, improve simulation models, and work with customers to validate their models. | ServeData | 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 |
| Robotic Software Engineer (Drone Stack) Robotic Software Engineer focused on designing, integrating, and deploying autonomy and vehicle intelligence systems for defense and commercial customers, particularly on unmanned aerial vehicles (UAVs). The role involves significant hardware-software integration, troubleshooting, and testing in simulated and live environments. | AgentServe | 7 |
| Robotic Software Engineer, Perception Robotic Software Engineer focused on developing, integrating, and maintaining real-time AI/ML sensor algorithms for autonomous vehicles. This role involves creating interfacing software for various sensors, collaborating with autonomy teams, deploying solutions to embedded systems, and interacting with customers for use case understanding and issue triage. | Post-train | 7 |
| Engineering Manager - Data Intelligence Engineering Manager for Data Intelligence team focused on producing, curating, and leveraging high-quality data for autonomy development. Responsibilities include managing engineers, prioritizing data quality systems, labeling workflows, and data mining, and integrating foundation models to enhance these processes. | DataPost-train | 7 |
| Software Engineer - Defense Tooling Software Engineer role focused on building simulation and AI tooling for autonomous defense systems. Responsibilities include designing and developing features, contributing to system architecture, mentoring junior engineers, and collaborating with US teams and customers. Requires experience with simulation platforms, ML training infrastructure, or developer tooling, and reinforcement learning frameworks. | Data | 7 |
| ML Runtime Optimization Engineer ML Runtime Optimization Engineer focused on optimizing ML model performance and inference on embedded runtime environments for physical AI applications in robotics and autonomous systems. | Serve | 7 |
| Senior Software Engineer - ML Infrastructure Senior Software Engineer focused on ML Infrastructure, building and integrating end-to-end ML pipelines, distributed cloud GPU training, and evaluation systems. The role spans the entire ML lifecycle, working with modeling teams to solve complex data problems at scale and contribute to a company-wide platform for ML training, evaluation, and deployment. | ServeEval Gate | 7 |
| Senior Neural Rendering Software Engineer Senior Neural Rendering Software Engineer to own end-to-end development and optimization of neural rendering systems, including 3D Gaussian-based representations and other learned scene representations, across multiple products and sensor modalities. Design and scale GPU pipelines using CUDA for neural scene training, inference, and real-time rasterization. Architect and optimize multi-threaded C++ systems for scene management, streaming, scheduling, and CPU-side orchestration of neural and hybrid rendering workloads. Research, prototype, and productionize state-of-the-art neural rendering and reconstruction techniques. | Post-trainServe | 7 |