<div>Plus, also known as 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><span style="font-size:16px;">As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!</span></div><br><br><h3>Responsibilities:</h3><ul><li>Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale. </li><li>Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.</li><li>Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.</li><li>Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure.</li><li>Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems.</li><li>Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform.</li><li>Mentor junior engineers and contribute to a culture of technical excellence</li></ul><h3>Required Skills:</h3><ul><li>Phd or MS in Computer Science, Electrical Engineering, or related field</li><li>Good oral and written communication skills</li><li>Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.</li><li>Proficiency in in Python, C++, SQL</li><li>Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow)</li><li>Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments)</li><li>Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect).</li><li>Strong knowledge of distributed systems, databases, and storage solutions.</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></ul><h3>Preferred Skills:</h3><ul><li>Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models</li><li>Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray</li><li>Experience working with autonomous vehicles or robotics</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li><li>Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.</li></ul><h3>Salary Range:</h3><ul><li>$160,000 - $200,000 a year</li></ul><br><div><span style="font-size:15px;">Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.</span></div><div><br></div><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

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<div id="ember51" class="ember-view organization-about-module__content-consistant-cards-description"><span class="lt-line-clamp__raw-line">Plus is an AI company whose mission is to build &ldquo;driving intelligence&rdquo; to power a safer and greener world. Plus&rsquo;s autonomous driving solutions span from driver-out SuperDrive&trade;, to highly automated PlusDrive&reg;, next-gen safety technology PlusProtect&trade;, and model-based perception software PlusVision&trade;. Headquartered in Silicon Valley with operations in the U.S., Europe, and Australia, Plus is named by Fast Company as one of the World&rsquo;s Most Innovative Companies. Plus&rsquo;s large AI models are already powering vehicles in commercial use today. Partners including Bosch, dm-drogerie markt, DSV, Hyundai Motor Company, IVECO, Luminar, Nikola, Scania/MAN/Navistar of the TRATON GROUP, and Transurban are working with Plus to accelerate next-generation transportation solutions.</span></div>
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Senior Machine Learning Infrastructure Engineer

<div>Plus, also known as 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><span>As a Senior ML Infrastructure Engineer at Plus, you will design scalable architectures capable of handling petabytes of data while ensuring optimal performance for both training and inference phases. You will build robust pipelines for managing model versioning systems and experiment tracking frameworks, which are essential for maintaining reproducibility across experiments. Additionally, you will be responsible for managing large-scale GPU clusters. This role offers unparalleled opportunities—both technically and professionally—for individuals passionate about solving challenging problems using modern cloud-native technologies. Ideal candidates thrive in environments that leverage tools such as Docker containers orchestrated via Kubernetes clusters, seamlessly integrated with state-of-the-art deep learning frameworks like PyTorch or TensorFlow. If you are eager to push the boundaries of what's possible in machine learning infrastructure and contribute to cutting-edge solutions, this position is an excellent fit!</span></div><br><br><h3>Responsibilities:</h3><ul><li>Design and develop scalable, high-performance systems for training, inference, deploying, and monitoring ML models at scale. </li><li>Build and maintain efficient data pipelines, model versioning systems, and experiment tracking frameworks.</li><li>Collaborate with cross-functional teams, including ML researchers and engineers, to identify bottlenecks and improve platform usability.</li><li>Implement distributed systems and storage solutions optimized for machine learning workloadsDrive improvements in CI/CD workflows for ML models and infrastructure.</li><li>Ensure high availability and reliability of the ML platform by implementing robust monitoring, logging, and alerting systems.</li><li>Stay current with industry trends and integrate relevant tools and frameworks to enhance the platform.</li><li>Mentor junior engineers and contribute to a culture of technical excellence</li></ul><h3>Required Skills:</h3><ul><li>Phd or MS in Computer Science, Electrical Engineering, or related field</li><li>Good oral and written communication skills</li><li>Phd new grad or Masters with 3+ years of software engineering experience with a focus on ML infrastructure or distributed systems.</li><li>Proficiency in in Python, C++, SQL</li><li>Deep understanding of containerization, orchestration technologies, distributed ML workload, and experiment tracking tools (e.g., Docker, Kubernetes, multiprocessing, Kubeflow, and mlflow)</li><li>Deploy and manage resources across multiple cloud platforms (AWS, GCP, or on-prem environments)</li><li>Proficiency in at least one deep learning framework, such as PyTorch and data pipeline tools (e.g., Apache Airflow, Prefect).</li><li>Strong knowledge of distributed systems, databases, and storage solutions.</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></ul><h3>Preferred Skills:</h3><ul><li>Familiarity with fundamental deep learning architectures, such as Convolutional Neural Networks (CNNs) and Transformer models</li><li>Experience in building large-scale ML datasets, MLOps pipelines, and distributed computing frameworks like Ray</li><li>Experience working with autonomous vehicles or robotics</li><li>Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.</li><li>Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.</li></ul><h3>Salary Range:</h3><ul><li>$160,000 - $200,000 a year</li></ul><br><div><span>Our compensations (cash and equity) are determined based on the position, your location, qualifications, and experience.</span></div><div><br></div><div><b>Your opportunities joining Plus</b></div><div>Work, learn and grow in a highly future-oriented, innovative and dynamic field.</div><div>Wide range of opportunities for personal and professional development.</div><div>Catered free lunch, unlimited snacks and beverages.</div><div>Highly competitive salary and benefits package, including 401(k) plan.</div>

Senior Machine Learning Infrastructure Engineer

About the Job

About the Company

Plus

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