PlusAI

You'll take ownership of deliverables for **autonomous truck virtual driver software** at Plus, a Physical AI company. You'll **work with senior engineers** and leverage AI tools to drive impact in cutting-edge autonomy.

You'll join the Systems Engineering team at Plus, focusing on **end-to-end ADAS/AV feature engineering** for Class 8 Semi trucks. You'll perform cross-functional tasks spanning the full Automotive Engineering V-Cycle, from requirements development to verification and validation.

You'll conduct research on **reinforcement learning for safe trajectory generation** in autonomous driving. You'll own the **Safety-Critical Trajectory Correction (STC) module**, designed as a real-time safety overlay. This internship offers the chance to contribute to **publishable results** in a cutting-edge AV stack.

You'll join the Localization & Mapping team at Plus, focusing on **reconstruction, auto labeling and auto mapping** for self-driving technology. You'll collaborate with researchers and engineers on **computer vision and deep learning** to build scalable algorithms that advance autonomous driving.

You'll work on **end-to-end ADAS/AV feature engineering** for autonomous semi trucks, focusing on **SOTIF analysis and safety requirements**. Your insights will directly shape open-road testing operations.

You'll work on **Vision-Language Models** for autonomous driving decision-making at Plus, a pioneer in **AV 2.0**. Your project focuses on developing knowledge distillation and compression techniques to deploy large models on onboard compute for **Level 4 semi-trucks**.

You'll **develop and optimize pipelines** to reconstruct high-fidelity 3D driving scenes from multi-modal sensor data, applying **neural rendering techniques** like 3D Gaussian Splatting and NeRFs. Your work will directly **improve perception testing** for autonomous driving systems.

You'll develop state-of-the-art technologies to detect emergency vehicles using **temporal sequences of camera images** for a **leading autonomous vehicle company**. You'll collaborate with experts to optimize and integrate deep learning models into production.

You'll join the Plus team as a Perception Intern, working on **autonomous vehicle technology** and **multimodal deep learning models**. You'll develop and benchmark cutting-edge techniques to detect unknown objects using **multi-modal sensor streams**, collaborating with experts to integrate solutions into the production stack.

You'll lead the design and evolution of localization architecture for **autonomous vehicles**, ensuring centimeter-level accuracy in complex L4 ODDs. You'll solve the hardest edge cases from GPS-denied tunnels to dynamic construction zones, blending sensor fusion with HD maps.

You'll lead a team developing **safety-critical software** for self-driving vehicles, focusing on **motion forecasting and planning**. Your work will directly shape autonomous driving projects and scale **end-to-end ML pipelines** from research to production.

You'll help evaluate and optimize production-intended sensors for autonomous trucks at a leading **Physical AI company**. You'll work across hardware/software boundaries to improve **multi-sensor time synchronization** and integration of **safety-relevant checks**. This role offers hands-on experience with cutting-edge autonomous vehicle technology.

You'll expand scene transformer models to generate **multiple ego-vehicle trajectories** in ambiguous cases and explore **recursive multi-step losses** for longer horizon predictions. Your work will directly impact safe autonomous truck deployment.

You'll develop pipelines for **multi-modal feature fusion** and **temporal event classifiers** to analyze driving behaviors. Your work will accelerate deployment of autonomous truck technology for a Fast Company's Most Innovative Company.

You'll help evolve **the robot's communication backbone** by integrating **ROS2 into a high-performance software stack**. Your work will directly impact the deployment of next-generation autonomous trucks.

You'll work with the team to bring up and validate fully redundant systems on Plus's autonomous truck fleet, focusing on **driver-by-wire software and hardware** and **runtime infrastructure**. You'll develop fallback mechanisms for redundant actuation systems and integrate Teleops and Offboard systems.

You'll generate **joint lateral & longitudinal control** action planning for autonomous trucks, expanding nonlinear MPC models. You'll leverage **data-driven vehicle model simulation** to evaluate and deploy your work, iterating on control strategies to reduce lateral offset.

You'll bridge the sim-to-real gap for **autonomous truck** systems by translating simulated data into realistic **BEV embeddings**. You'll optimize training pipelines and enable **closed-loop reinforcement learning** for planning models. This role offers hands-on impact at a Fast Company Most Innovative Company.

You'll explore and prototype a generative simulator that synthesizes realistic driving scenarios, working on **autonomous truck technology** at a leading Physical AI company. Your work will directly impact **safety-critical vehicle testing** and accelerate the deployment of self-driving trucks.

You'll support development of **systems engineering tools** for autonomous driving features on Class 8 Semi trucks. Core impact: automating SE processes like requirements traceability and test case generation using AI chatbots and **agentic coding prototypes**.

You'll design **scalable ML workflows** for generating autonomous vehicle scenarios, from traffic simulations to synthetic scenario creation. You'll own the simulation framework's reliability and performance, collaborating with partner teams to unblock testing and validation.

You'll train and deploy ML-based planning algorithms for autonomous trucks at a Physical AI company. Your work will drive the future of autonomy across our **extensive fleet** using **real-world data**. This role combines cutting-edge research with production-level impact.

You'll design, develop, and deploy **motion planning software** for **autonomous trucks** using C++ and numerical optimization frameworks. Your work will directly enable safe and efficient navigation for self-driving vehicles. You'll collaborate with a diverse team of engineers in a hybrid environment.

You'll develop and optimize the core infrastructure for **low-latency execution** of on-vehicle robotics software and **equip engineers with tools** to analyze system behavior. This role involves designing new components across mission-critical domains.

You'll develop accurate, scalable vehicle dynamics models using deep learning and advanced data analysis. Your models will be integrated into **simulation pipelines** to advance autonomous driving technology. This role collaborates with cross-functional teams to drive **innovation in simulation**.

You'll define **hardware architecture** and design **mechanical/thermal solutions** for autonomous trucks. Your work will integrate PlusAI's virtual driver into OEM vehicles, collaborating with partners like Scania and Hyundai. This role offers direct impact on next-generation autonomous truck deployment.

You'll coordinate with global teams to define vehicle-level self-driving requirements and lead **HARA/FMEA reviews** of autonomous features. You'll directly influence how our autonomous system achieves higher levels of robustness and industry-leading safety. This role includes customer-facing interactions with OEMs and driving **continuous process improvements**.

You'll work with autonomy and runtime teams to improve the autonomous software stack for PlusAI's driverless trucks. You'll design fault detection strategies and optimize performance. This role offers a chance to impact **autonomous vehicle technology** in a **hybrid environment** at a **Fast Company-recognized innovator**.

You'll own public company securities compliance and lead earnings-related disclosures for a **pioneering AI autonomous trucking company**. You'll coordinate with finance, accounting, and IR teams to **manage SEC filings and disclosure calendars**. This role offers the chance to **work at the forefront of autonomous vehicle technology**.

You'll build and lead the external reporting function for a **Physical AI company** pioneering autonomous truck technology. You'll own the entire SEC filing process and **collaborate with executive teams** to ensure compliance and transparency.

You'll lead **physical integration** of components into **autonomous trucks** at PlusAI. Your core impact is ensuring vehicles are well-maintained and **system troubleshooting** is completed. This hands-on role offers work on cutting-edge autonomy projects.

You'll design and optimize **BEV fusion models** using multimodal sensor inputs, focusing on LiDAR-based 3D perception. Your work will directly impact **autonomous driving systems** by integrating camera, LiDAR, and radar data.

You'll design and optimize **scalable online lane and map interfaces** and **large-scale mapping infrastructure** for autonomous driving. Your core impact will be supporting runtime map queries for perception, localization, prediction, and planning modules. This role offers hands-on work with **LiDAR map generation and offline 3D reconstruction systems**.

You'll join the runtime team responsible for the entire on-vehicle AD system integration, optimization, and core feature development. You'll collaborate cross-functionally to define and implement sensor & vehicle interface **CAN integration** and diagnostics in **AutoSAR safety domain**. Up to 50% travel required for on-vehicle testing.

You'll design scalable architectures for **petabytes of data** and build robust pipelines for **model versioning** and experiment tracking. You'll manage large-scale GPU clusters to drive **autonomous truck** AI systems.

You'll support **autonomous vehicle testing** by monitoring system performance and executing live mileage accumulation for **factory-built autonomous trucks**. Your work directly enables safe deployment of self-driving technology with industry-leading partners.

You'll train and deploy **ML-based planning algorithms** for autonomous trucks at PlusAI, a leader in Physical AI. Your work will directly impact the **safety and efficiency** of next-generation autonomous trucking. This hybrid role offers the chance to work on cutting-edge **autonomous driving technology**.

You'll work on the Localization & Mapping team to design an automated **Map Change Detection Pipeline** for autonomous vehicles. Your core impact will be processing fleet data to isolate permanent **structural changes from daily clutter** using LiDAR. This pipeline will directly feed the automated map-updating engine.

You'll help build an **event mining framework** for uncovering insights in massive datasets at **PlusAI**, a Physical AI company pioneering autonomous trucks. You'll scale systems using **Spark** and cloud technologies, directly impacting self-driving technology.

You'll **identify bottlenecks** and **implement custom kernels** to accelerate BEV model training for autonomous trucks at PlusAI, a pioneer in Physical AI. This internship uniquely explores **using LLMs for code generation** and automated performance profiling.

You'll develop externally shareable metrics dashboards for **autonomous trucking platforms**. You'll own data processing, synchronization, and metrics calculation to **replace legacy dashboard systems**. This internship offers hands-on impact at a Fast Company-recognized AI company.

You'll work on an exciting project blending **Large Language Models (LLMs)** with simulation technology to generate realistic driving scenarios. You'll help develop a tool that creates scalable simulation scenarios from text and real road data, directly impacting autonomous vehicle testing. This internship offers the chance to apply ML and robotics knowledge to real-world challenges with minimal manual effort.

You'll develop an AI assistant using **LLMs** and simulation technology for autonomous truck testing. You will build RAG pipelines and fine-tune open-source models to generate realistic scenarios from real road data. This role lets you apply **machine learning** to real-world autonomous vehicle challenges.

You'll design and enhance control algorithms for PlusAI's autonomous trucking stack. Your work will directly impact **motion planning and control** development using **machine learning and data-driven methods**. You'll collaborate with top experts and test on real vehicles.