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. That is a +217% change versus the prior 30 days (6 → 19).
| Title | Stage | AI score |
|---|---|---|
| Research Scientist - 3D Vision and Generation, Self-Driving Research Scientist focused on 3D vision and generation for autonomous driving and robotics, involving multi-modal pretraining and foundation models. The role involves research publications and collaboration with engineering teams for deployment. | PretrainPost-train | 9 |
| Research Engineer - Reinforcement Learning, Self-Driving Research Engineer role focused on Reinforcement Learning for self-driving and robotics applications. Involves research on RL training infrastructure, self-play RL, VLA post-training, and deploying algorithms for mass production vehicles. Requires strong Python, PyTorch, computer vision, robotics, and distributed ML skills. |
| 9 |
| Research Engineer - 3D Vision and Generation, Self-Driving Research Engineer focused on 3D vision and generation for physical AI applications like autonomous driving and robotics. The role involves conducting research on foundation models, multi-modal pretraining, and Gaussian splatting, with a goal of publishing research and deploying algorithms for mass production vehicles and autonomy development tools. | PretrainShip | 9 |
| Research Intern - World-Action Foundation Model, Robotics Research Intern role focused on pretraining world-action foundation models for robotics and autonomous driving, incorporating vision and physics modalities. The role involves research on topics like vision-physics association, world foundation models, and spatial reasoning, with a goal of high-quality research publications. | Pretrain | 9 |
| Research Intern - Robotic Hardware, Simulation and Data Research Intern role focused on physical AI for autonomous driving and robotics, involving research and contributing to high-quality publications. Requires a strong background in ML, computer vision, graphics, or robotics. | Data | 9 |
| Research Intern - Reinforcement Learning, Robotics Research Intern role focused on reinforcement learning for robotics, including large-scale closed-loop RL and VLA post-training, with the goal of contributing to high-quality research publications. | Post-trainAgent | 9 |
| Research Intern - 3D Vision and Generation, Self-Driving Research Intern role focused on 3D vision and generation for autonomous driving and robotics, involving foundation models and multi-modal pretraining, with a goal of publishing research at top-tier conferences. | Pretrain | 9 |
| Research Engineer - Robot Learning Research Engineer role focused on robot learning, including setting up hardware, constructing simulation environments for RL training, processing human data for robotics, and collaborating on research publications and end-to-end algorithm deployment for autonomous systems. The role involves working with foundation models, diffusion policies, multi-modal robot learning, VLA post-training, and reinforcement learning. | DataPost-train | 9 |
| Research Scientist - World-Action Foundation Model, Robotics Research Scientist focused on pretraining world-action foundation models for robotics and autonomous systems, incorporating various modalities like vision and physics. The role involves research publications and collaboration with engineering teams for deployment. | PretrainAgent | 9 |
| Research Scientist - Reinforcement Learning, Self-Driving Research Scientist role focused on Reinforcement Learning for autonomous driving and robotics, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role involves research publications and collaboration with engineering teams to deploy algorithms into products. | Post-trainAgent | 9 |
| Research Intern - Reinforcement Learning, Self-Driving Research Intern role focused on Reinforcement Learning for self-driving and robotics applications, involving large-scale self-play RL, VLA post-training, and closed-loop RL. The role emphasizes research publications and collaboration with scientists and engineers. | Post-trainAgent | 9 |
| Research Scientist - Reinforcement Learning, Robotics Research Scientist role focused on Reinforcement Learning (RL) and Vision-Language Model (VLA) post-training for robotics and autonomous systems, with an emphasis on dexterous manipulation. The role involves conducting research, publishing in top-tier conferences, and collaborating with engineering teams to deploy algorithms. Requires a strong research record in RL and VLA for robotics, with a relevant MSc or PhD. | Post-trainAgent | 9 |
| Research Engineer - AI/RL Infrastructure Research Engineer focused on building and operating large-scale ML training and evaluation infrastructure for physical AI systems, including autonomous driving and robotics. The role involves orchestrating GPU clusters, developing benchmarking and data pipelines, and enabling distributed training across cloud environments. | DataEval Gate | 9 |
| Senior Software Engineer - Perception Senior Software Engineer focused on building the perception system for L4 autonomous trucks. This involves developing and deploying state-of-the-art machine learning models for multi-modal 3D detection, BEV representations, and learned tracking, combined with classical perception techniques like state estimation and sensor fusion. The role requires end-to-end ownership from model architecture and training to onboard deployment and validation, within a safety-critical context. | AgentData | 8 |
| Research Engineer, AI/RL Infrastructure (Research) Research Engineer focused on AI/RL Infrastructure for robotics simulation, involving data pipelines, training, and potentially fine-tuning models. | DataPost-train | 8 |
| Robotics Engineer, Technical Lead Founding technical role to build and shape Applied Intuition's robotics organization. Define technical direction, write production code, and build functional demos on physical hardware. Focus on software and learned behaviors, with engagement across the hardware stack. Responsibilities include defining architecture, writing production code (Python/C++), training/evaluating/deploying learning-based policies for manipulation and locomotion, building hardware demos, establishing simulation infrastructure, analyzing telemetry, and working with data pipelines to close the sim-to-real gap. | ShipPost-train | 8 |
| Engineer Manager - ML Data and Evaluation, Self-Driving Systems Engineering Manager to lead the data and evaluation layer for E2E autonomy models in robotics, covering data enrichment, dataset curation, evaluation infrastructure, and closed-loop systems. The role focuses on accelerating model iteration speed and ensuring the quality of data and evaluation for safety-critical systems. | DataEval Gate | 8 |
| Engineering Manager - ML, Self-Driving Systems Engineering Manager to lead ML teams in developing and deploying production-grade autonomous driving systems. The role involves setting technical direction, managing training and iteration cycles, working with customers, owning ML pipelines, and overseeing the full model lifecycle from prototype to embedded deployment. Requires experience in deep learning, managing technical teams, building ML training pipelines, and deploying models to edge hardware. | ShipData | 8 |
| Technical Lead Manager - Perception, Self-Driving Systems Technical Lead Manager for Perception, Self-Driving Systems, responsible for the end-to-end ownership of a core perception model that generalizes across various vehicles, sensors, and environments. The role involves leading a team to train, evaluate, and deploy this production-grade model, with a focus on camera-first strategies and on-vehicle performance, including optimizations for embedded hardware. | ShipPost-train | 8 |
| 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 |
| Engineering Manager - ML Platform and Infrastructure Engineering Manager for ML Platform and Infrastructure at Applied Intuition, focusing on building and scaling the infrastructure for Physical AI. The role involves managing a team to own training & inference orchestration, GPU cluster architecture, and performance optimization for large-scale ML workloads. | ServeData | 8 |
| Senior Autonomy Engineer Senior Autonomy Engineer role focused on designing, developing, and verifying high-performance autonomy solutions for the defense industry. This involves writing perception and planning algorithms, optimizing performance, developing system architectures, and mentoring junior engineers. The role requires experience with the end-to-end development cycle of deep learning models and production software, with expertise in subdomains like modeling, input pipelines, evaluation, deployment, and model optimization. | AgentServe | 8 |
| Software Engineer - E2E Autonomy Software Engineer role focused on building ML tools and infrastructure for end-to-end autonomy research and production in self-driving vehicles. Responsibilities include scaling training, managing datasets, and supporting GPU compute and eval systems. | DataServe | 8 |
| Machine Learning Software Engineer Machine Learning Software Engineer for autonomous vehicles or mobile robots, focusing on perception, prediction, or planning. The role involves building ML capabilities, designing and implementing systems, and leveraging existing infrastructure. Requires experience in the end-to-end development cycle of deep learning models, production software development, and ML/DL perception algorithms for autonomous vehicles. | AgentServe | 8 |
| 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 (EO, IR, acoustics, radar, RF), deploying containerized solutions, and collaborating with autonomy and customer teams. Experience with sensor physics, ML training/deployment, and Linux/Docker is required. | Post-trainServe | 8 |
| Research Engineer - Robotic Hardware, Simulation and Data Research Engineer focused on robotic hardware, simulation, and data processing for physical AI, with applications in autonomous driving and robotics. Involves setting up hardware, constructing simulation environments for RL training, processing human data, and collaborating on research publications and deployment of end-to-end algorithms. | DataServe | 8 |
| ML Perception Software Engineer ML Perception Software Engineer for autonomous vehicles/robots, focusing on building perception modules, world representations, and ML/CV algorithms for self-driving vehicles. Involves training, testing, and deploying algorithms from data collection to production. | Post-trainServe | 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 |
| Senior Machine Learning Data Engineer The role focuses on building and evolving the data engine for training perception models, including edge applications and cloud data pipelines. It involves optimizing ML model execution, ingesting video data, and integrating foundation models for labeling and QA. The goal is to enable continual improvement of models deployed to the edge. | DataPost-train | 7 |
| LVC Simulation Integration Engineer This role focuses on integrating live, virtual, and constructive (LVC) simulation solutions for testing and training multi-agent autonomy software in the defense sector. The engineer will design LVC architectures, write interface code, and collaborate with cross-functional teams to develop simulation scenarios and adapters for Tactical AI agents. | Agent | 7 |
| Perception & Fusion Engineer Develops, integrates, and maintains real-time sensor software solutions for autonomous vehicles, focusing on sensor fusion algorithms and ML model deployment. Works with various sensor modalities and collaborates with autonomy and tracking teams. | AgentData | 7 |
| Senior C++ Software Engineer (Collaborative Autonomy) Senior C++ Software Engineer for a defense company's autonomous behaviors and agents team, focusing on next-generation human-machine teaming and real-time decision-making systems. The role involves designing and implementing advanced algorithms for multi-agent optimization, temporal logic frameworks, and sequential decision processes under uncertainty to build intelligent agents that plan and execute missions. | Agent | 7 |
| Senior C++ Software Engineer (Collaborative Autonomy) Senior C++ Software Engineer role focused on designing and implementing advanced algorithms for multi-agent systems and real-time decision-making platforms in the defense industry. The role involves building intelligent agents that plan and execute missions using reasoning, planning, and optimization algorithms, supporting human-machine teaming across various domains. | 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, with a strong emphasis on algorithmic optimization and computational challenges in heterogeneous platforms. | Agent | 7 |
| Robotic Software Engineer, Perception Develops, integrates, and maintains real-time AI/ML sensor software solutions for autonomous vehicles and other physical AI applications, focusing on sensor data processing, fusion, and control. | Data | 7 |
| Robotic Software Engineer, Perception Robotic Software Engineer focused on developing and integrating AI/ML sensor algorithms for autonomous vehicles. This role involves creating interfacing software for sensors, deploying solutions to embedded systems, and collaborating with autonomy and customer teams. Experience with sensor modalities, ML algorithm deployment, and Linux/Docker is required. | Agent | 7 |
| Perception & Fusion Engineer The role focuses on developing and integrating real-time sensor software, including AI/ML algorithms for perception and fusion, to support autonomous vehicles and systems, particularly for defense applications. This involves designing and implementing sensor fusion algorithms, creating autonomous sensor controllers, and deploying solutions on embedded systems. The role also requires collaboration with various teams, customer interaction, and utilizing simulation tooling for analysis and improvement. | AgentData | 7 |
| Senior ML Infrastructure Engineer The Axion Data team is building the data engine to train perception models, involving edge applications and cloud data pipelines. The role focuses on optimizing ML model execution on edge and cloud, and developing MLOps tooling for pipeline visibility. It also involves integrating foundation models for labeling and QA, and interacting with DoD customers. | DataServe | 7 |
| Senior MLOps Engineer MLOps Engineer role focused on building the data engine for training perception models, including edge applications and cloud data pipelines. Responsibilities include optimizing model execution, scaling data annotation, and integrating foundation models for enhancement. | DataServe | 7 |
| Autonomy Integration Software Engineer Software Engineer role focused on integrating and deploying autonomy systems for physical AI applications in vehicles, involving robotics, sensors, and inter-agent communications. Requires hands-on field testing and integration with hardware and simulation. | Agent | 7 |
| Autonomy Integration Software Engineer Software Engineer role focused on developing, deploying, and maintaining the core systems for all-domain autonomy capabilities in self-driving vehicles. This involves integrating software with robotics, sensors, and vehicle autopilots, working with perception and autonomy modules, and ensuring inter-vehicle communication. The role requires hands-on fieldwork for deployment and testing in real-world environments, leveraging simulation, and integrating third-party software. Experience with multi-agent autonomy systems and robotic systems is essential. | Agent | 7 |
| Perception & Fusion Engineer Develops, integrates, and deploys real-time AI/ML algorithms for perception and sensor fusion on autonomous vehicles for defense applications. Focuses on integrating various sensor modalities and deploying ML models onto embedded systems. | Post-trainServe | 7 |
| Software Engineer - Autonomy Software Engineer on the Autonomy team responsible for real-time onboard software modules for self-driving trucks, including perception, sensor fusion, planning, control, and safety. The role involves optimizing performance, implementing safety-critical patterns, and productionizing research algorithms into C++ deployments. | AgentServe | 7 |
| Defense Autonomy Engineer Develops collaborative autonomy behaviors for heterogeneous autonomous vehicles across different domains and sensor suites to accomplish complex missions. Designs and develops multi-agent multi-domain behavioral autonomy algorithms, integrates tactical autonomy solutions, deploys containerized solutions, and troubleshoots complex issues. | Agent | 7 |
| Robotics Engineer Robotics Engineer role focused on building general-purpose robots, working across the full stack from low-level controls to fleet deployment. The role involves designing, implementing, and tuning core robotics software, integrating hardware and software subsystems, and debugging failures on physical robots. Emphasis on C++ development, real-time systems, and robotics fundamentals, with a nice-to-have for ML/RL experience. | Ship | 7 |
| 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 |
| Head of Defense Engineering (South Korea) Head of Defense Engineering in Seoul, South Korea, responsible for leading a local team to deliver simulation and AI tooling for autonomous defense systems. The role involves setting technical direction, growing the team, ensuring reliable delivery of defense-grade products, and partnering with US leadership. Requires a strong technical background in autonomy, simulation, or AI/ML infrastructure, along with people management experience and excellent English and Korean communication skills. | Serve | 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 |
| Applied Perception Engineering Lead Lead a team developing Perception pipelines for defense applications, integrating pre-trained models into real-time systems deployed on hardware. Focus on EO/IR, Radar, and other sensor modalities, with responsibilities for perception autonomy behaviors. | ServePost-train | 7 |