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 |
|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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, 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 |
| 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 |