Plus 2

<div>PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br /></div><div>
<p>Knowing how well our virtual driver drives — and why it fell short — is what lets us ship with confidence. In this role, you will own that loop end to end: the metrics that quantify driving performance, the pipelines that compute them at fleet scale, the analysis that turns them into judgments about autonomy behavior — including where on the map that behavior changes — the data and tooling that gate software releases, and the agentic workflows that take a detected issue from triage to a proposed fix. You will work primarily in Python across large-scale data processing, geospatial analytics, evaluation frameworks, and LLM-powered automation. We welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required.</p>
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<p>We are open to candidates at either the Engineer or Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.</p>
<h2>Responsibilities:</h2>
<ul>
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<p>Define and compute driving performance metrics — covering safety, comfort, progress, interventions, and compliance — and build the scalable pipelines that evaluate them consistently across fleet and simulation data</p>
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<p>Analyze road-test and simulation data in depth to identify trends, regressions, and anomalies in autonomy behavior, and turn them into clear findings that engineering teams act on</p>
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<p>Build geospatial analytics over fleet driving data: map-matched metrics, route and corridor performance, location-based clustering of events and issues, and geographic coverage analysis that shows where the virtual driver performs well and where it struggles</p>
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<p>Build the data foundations and tooling for release management, including release-over-release comparisons, readiness and gating criteria, and traceable evidence supporting release decisions</p>
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<p>Build AI agentic workflows that triage detected issues at scale — clustering and deduplicating failures, attributing root cause, routing to the right owners, and proposing fixes with supporting evidence for engineering review</p>
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<p>Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts</p>
</li>
</ul>
</div>
<h2>Required Skills:</h2><div>

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<p>BS, MS, or PhD in Computer Science, engineering, or a related technical field, or equivalent practical experience</p>
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<p>Proficiency in Python, with experience building scalable data processing systems or evaluation frameworks</p>
</li>
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<p>Experience developing metrics and analyzing large-scale time-series, event, or geospatial data, including principled metric definitions, validation, and error analysis</p>
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<p>Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation</p>
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<p>Ability to solve open-ended technical challenges and communicate findings clearly to engineering and program stakeholders</p>
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<p>Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end</p>
</li>

</div>
<h2>Preferred Skills:</h2><div>

<li>
<p>Experience with distributed data processing such as Apache Spark, and workflow orchestration such as Airflow or Argo Workflows</p>
</li>
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<p>Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns</p>
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<p>Experience with geospatial data and tooling, such as GIS formats, map matching, spatial indexing and joins, PostGIS, GeoPandas, or map-based visualization libraries</p>
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<p>Experience with release engineering, quality gating, or automated regression detection</p>
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<p>Experience with autonomous vehicles, robotics, or other safety-critical systems</p>
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<p>Experience building dashboards or analytics interfaces that expose metrics to users</p>
</li>

</div>

Data Engineer/Senior Data Engineer

<div>PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br /></div><div>We are seeking a highly motivated Deep Learning Research Intern to join our Perception team, working on Bird's Eye View (BEV) fusion models using multimodal sensor inputs, including camera, LiDAR, and radar. You will support the design and evaluation of scalable perception algorithms that enable 3D scene understanding for autonomous driving, working closely with research engineers on real-world, production-relevant problems.</div>
<h2>Responsibilities:</h2><div>

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<p>Research, prototype, and evaluate BEV-based perception models that fuse camera, LiDAR, and radar inputs.</p>
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<p>Design and run experiments benchmarking model performance on large-scale autonomous driving datasets using well-defined quantitative metrics.</p>
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<p>Investigate novel multimodal fusion architectures and techniques to improve accuracy, robustness, and efficiency.</p>
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<p>Collaborate closely with research scientists and perception engineers to translate findings into production-ready components.</p>
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<p>Document experiments, results, and insights clearly for the broader research team.</p>
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<p>Perform work in accordance with the company's Quality Management System (QMS) requirements where applicable.</p>
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</div>
<h2>Required skills</h2><div>

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<p>Currently pursuing a Ph.D. or Master's degree in AI, Computer Science, Electrical Engineering, Robotics, or a related field.</p>
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<p>Strong programming skills in Python and experience building deep learning pipelines.</p>
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<p>Hands-on experience with PyTorch, TensorFlow, or JAX.</p>
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<p>Solid foundation in computer vision, deep learning, and 3D geometry.</p>
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<p>Coursework or project experience with LiDAR-based 3D perception or BEV representation models.</p>
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<p>Understanding of multimodal sensor fusion concepts</p>
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</div>
<h2>Preferred Skills:</h2><div>

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<p>Prior research or project experience in autonomous vehicle perception, robotics, or related fields.</p>
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<p>Familiarity with camera, LiDAR, and radar modalities, including synchronization, calibration, and integration in perception pipelines.</p>
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<p>Experience with distributed training, high-performance computing, or GPU acceleration.</p>
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<p>Publications or open-source contributions in perception, 3D vision, or multimodal learning.</p>
</li>

</div>

Deep Learning Research Intern — Multimodal BEV Perception

<div>
<p>Finding the right data is central to improving autonomous-driving models. Among petabytes of fleet data, you will develop methods that identify and rank the most valuable moments for training and evaluation, then turn those methods into reliable tools that autonomy and ML engineers use to search, review, and curate datasets. You will work at the intersection of applied machine learning, information retrieval, large-scale data processing, and product engineering. We welcome candidates with ML or data-mining foundations who are excited to grow across scalable systems and the product stack.</p>
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<p>We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.</p>
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<h4><strong>Responsibilities:</strong></h4>
<ul>
<li>
<p>Develop and evaluate mining, retrieval, and ranking methods using signals such as model confidence, disagreement, embeddings, anomalies, temporal behavior, and learned representations</p>
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<p>Build and evolve semantic image/video/scenario search, including text-to-image/video and image-to-image or video-to-video retrieval, vector search, metadata and temporal or spatial filters, task-specific ranking, and search quality, freshness, latency, and reliability</p>
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<p>Build and operate distributed mining, inference, and indexing pipelines over fleet-scale imagery, video, time-series, and autonomy-system data, including GPU batch inference, embedding generation, reproducible candidate datasets, and reliable index refreshes</p>
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<p>Design and ship mining products end to end: Python APIs and services, relational data models, asynchronous jobs, modern TypeScript/React search and review experiences, deployment, access control, testing, observability, and production reliability</p>
</li>
<li>
<p>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts</p>
</li>
</ul>
</div>
<h2>Required Skills:</h2><div>

<li>
<p>BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience</p>
</li>
<li>
<p>Hands-on experience developing and evaluating machine-learning, data-mining, computer-vision, or information-retrieval methods with a framework such as PyTorch or TensorFlow, including experimentation, error analysis, and principled metrics</p>
</li>
<li>
<p>Foundations for data-centric machine learning: an understanding of model uncertainty and evaluation, embeddings and similarity search, and how training-data composition shapes model behavior</p>
</li>
<li>
<p>Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end</p>
</li>

</div>
<h2>Preferred Skills:</h2><div>

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<p>Production full-stack experience spanning backend services and REST APIs, relational data modeling and SQL, and modern JavaScript or TypeScript frontend development using React or a comparable framework</p>
</li>
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<p>Experience improving models through data — training or fine-tuning, active learning and data flywheels, hard-example mining, uncertainty or disagreement signals, dataset curation — ideally in autonomous driving, robotics, or perception</p>
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<p>Experience with embedding and multimodal models (CLIP-style models, VLMs), vector databases (Milvus, FAISS, pgvector), or GPU batch inference at scale</p>
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</div>

Software Engineer/Senior Software Engineer, Applied ML & Data Mining

<div>PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div>
<h2>Responsibilities:</h2><ul><li>Create and maintain optimal data processing pipeline architecture</li>
<li>Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies.</li>
<li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li>
<li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics</li>
<li>Interpret data, analyze results using statistical techniques and provide ongoing reports </li>
<li>Identify, analyze, and interpret trends or patterns in complex data sets</li>
<li>Work with stakeholders including the Executive, Engineering, and Operation teams to assist with data-related technical issues and support their data infrastructure, analysis, and reporting needs</li>
<li>Keep our data secure through multiple data centers and AWS regions</li></ul>
<h2>Required Skills:</h2><ul><li>MS in Computer Science, Electrical Engineering, or related field</li>
<li>1+ years of software engineering experience</li>
<li>Good oral and written communication skills</li>
<li>Expertise in Python, SQL, microservices, databases, data pipelines</li>
<li>Technical expertise regarding data models, database design and development, data mining and segmentation techniques</li>
<li>Experience with large scale data processing, e.g. MapReduce, Spark, Kafka</li>
<li>Experience with AWS core technologies such as S3, EC2, RDS</li>
<li>Extensive software design and development skills</li>
<li>Ability to learn and adapt to new technologies and contribute in a productive environment.</li>
<li>Strong knowledge of and experience with reporting packages</li></ul>
<h2>Preferred Skills</h2><ul><li>Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)</li>
<li>Experience working with autonomous vehicles or robotics.</li></ul>

Data Engineer

<div>PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.</div><div><br /></div><div><strong>About the role:</strong></div>
<div>The Scenario Simulation team is responsible for building a simulation engine that simulates the systems downstream of the perception system. The team works on realistic actor behaviors and other infrastructure tooling for generating diverse scenarios to validate Autonomy. You will have an opportunity to drive immediate user value while architecting advanced, AI-powered frameworks for long-term safety validation.</div>
<h2>Responsibilities:</h2><ul><li>
<p>Design scalable ML workflows for generating AV scenarios - ranging from traffic simulations to synthetic scenario creation from a natural language specification.</p>
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<p>Contribute to tooling for migrating scenario creation using the traditional approach to AI-based scenario understanding and validation</p>
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<p>Own the development and upkeep of the simulation framework, driving its reliability and performance to unblock all technical stakeholders.</p>
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<p>Collaborate directly with internal customers and partner teams to provide solutions for their test creation workflows.</p>
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<p>Have an opportunity to tackle simulation and autonomy evaluation challenges across various areas of the autonomy system, including motion planning, mapping, Controls.</p>
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<p>Create and extend software for behavior, pathfinding, road networks, spatial queries, collision detection, vehicle control, vehicle dynamics, etc.</p>
</li></ul>
<h2>Required Qualifications:</h2><ul><li>
<p>MS or higher degree in Computer Science, Machine Learning, or related field</p>
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<p>Good development skills in modern C++ and Python</p>
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<p>Proficiency in ML libraries and experience in transformer and diffusion architectures</p>
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<p>Basic understanding of generative models</p>
</li></ul>
<h2>Desirable Qualifications:</h2><div>

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<p>2+ years of Industry experience in ML and C++ software</p>
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<p>Familiarity with AV simulation environments and driving datasets</p>
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</div>

Plus 2

Open jobs at Plus 2

Data Engineer/Senior Data Engineer

Deep Learning Research Intern — Multimodal BEV Perception

Software Engineer/Senior Software Engineer, Applied ML & Data Mining

Data Engineer

Software Engineer, Simulation

Working for Plus 2?

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