PlusAI builds AI-based driving software for factory-built autonomous trucks, with a tech stack anchored in PyTorch, TensorFlow, and CUDA for deep learning, plus automotive-grade tooling (ISO 26262, AUTOSAR, CANoe) for safety compliance. The hiring profile is heavily intern-skewed (24 of 46 active roles) alongside senior/director-level talent, suggesting rapid scaling of junior ML engineering paired with leadership to manage safety-critical systems. Core pain points cluster around QMS compliance, petabyte-scale data pipelines, and real-time inference on GPU-constrained hardware — each pointing to the hard infrastructure and regulatory challenges of autonomous trucking.
Tech Stack 69 technologies
Core StackDocker Kubernetes PyTorch TensorFlow C++ Python SolidWorks Jira Apache Spark ISO 26262 Jama Connect Polarion IBM DOORS AUTOSAR CAN-FD CANoe ROS JAX Creo Unigraphics Pdmlink LiDAR GNSS GTSAM OpenCV ORB-SLAM CUDA Triton NVIDIA Nsight PyTorch Profiler+37 more
AdoptingROS 2
What PlusAI Is Building
◆Challenges
- Qms compliance
- Higher autonomy safety
- Maintaining accurate hd maps amid changing environment
- Real world performance quantification
- Scaling petabyte data pipelines
- Managing large-scale gpu clusters
- Ensuring high availability of ml platform
- Deploying ml-based planning algorithms on extensive data
- Real-time performance in compute-constrained environments
- Real-time compute constraints
▲Active Projects
- Design safety checks for driving trajectories
- Vehicle-level self-driving requirements definition
- Multimodal deep learning model training
- Operational data quantification for real world performance
- Scalable architecture for training and inference
- Robust pipelines for model versioning and experiment tracking
- Distributed systems and storage solutions for ml workloads
- Motion forecasting & planning
- End-to-end ml pipelines
- Vehicle simulation model development
Hiring Activity
45 roles · 25 in 30d
Department
Seniority
Company intelligence
