Senior/Staff Machine Learning Engineer, Motion Planning

PlusAI; Santa Clara (CA); On-site; USD 130,000 - 220,000; Full time

Benefits offered by this job

Free lunch

Snacks & beverages

401(k) plan

Job summary

PlusAI, a Physical AI company, is seeking a machine learning engineer to train and deploy planning algorithms for its autonomous truck fleet. You will develop state-of-the-art models using map and sensor data, design trajectory generation and behavior planning, and own end-to-end ML lifecycle from data to deployment.

You will collaborate across runtime, perception, mapping, and systems teams to ensure safe, robust trajectories and production-ready software.

Qualifications

• BS, MS, or PhD in Computer Science, Robotics, Machine Learning, or related field.
• 4+ years of experience developing ML systems for robotics, autonomous driving, or real-time decision-making systems.
• Strong Python programming skills and PyTorch experience.
• Strong understanding of deep learning, sequence modeling, transformers, diffusion models, or other modern ML architectures.
• Experience designing datasets, experiments, validation methodologies, and metric-driven model evaluation.
• Strong software engineering skills and production-quality code.
• Excellent debugging and analytical problem solving.

Responsibilities

• Develop state-of-the-art ML models for autonomous vehicle planning using rich map, perception, routing, and sensor data.
• Design architectures for trajectory generation, behavior planning, and decision making with emphasis on accuracy, robustness, and efficiency.
• Own end-to-end ML lifecycle: data curation, feature engineering, experimentation, training, evaluation, deployment, monitoring, and improvement.
• Create offline evaluation methodologies, validation pipelines, and metrics for planning quality, safety, robustness, and generalization.
• Analyze model behavior and failure cases; improve performance via systematic experimentation.
• Collaborate with runtime, perception, prediction, mapping, and systems teams to deploy ML solutions to production.
• Design validation strategies and guardrails to ensure feasible, safe trajectories compliant with traffic rules.
• Stay current with ML/robotics advances and translate research into production systems.
• Ensure compliance with QMS, customer requirements, regulatory standards, and internal processes.

Skills

Python

PyTorch

Deep learning

ML systems

Diagnostics & debugging

Python tooling

Communication

C++

Education

BS/MS/PhD in CS/Robotics/ML

Tools

PyTorch

TensorRT

ONNX Runtime

CUDA

Distributed training

Job description

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.

We’re looking for a machine learning engineer to train and deploy the latest generation of ML‑based planning algorithms on the extensive data we collect every day across our autonomous trucking fleet.

Responsibilities

• Develop state-of-the-art machine learning models for autonomous vehicle planning using rich map, perception, routing, and contextual sensor data.
• Design and implement model architectures for trajectory generation, behavior planning, and decision making that balance accuracy, robustness, interpretability, and runtime efficiency.
• Own the end-to-end machine learning lifecycle, including data curation, feature engineering, experimentation, training, evaluation, deployment, monitoring, and continuous improvement.
• Design rigorous offline evaluation methodologies, validation pipelines, and metrics to measure planning quality, safety, robustness, and generalization.
• Analyze model behavior, investigate failure cases, and improve performance through systematic error analysis and targeted experimentation.
• Collaborate closely with runtime, perception, prediction, mapping, and systems teams to deploy scalable machine learning solutions into production.
• Design validation strategies and rule-based guardrails to ensure generated trajectories are feasible, safe, and compliant with traffic rules.
• Stay current with advances in machine learning, robotics, and autonomous driving, translating research innovations into production systems.
• Ensure technical work complies with the company's Quality Management System (QMS), customer requirements, regulatory standards, and internal engineering processes.

Required Skills

• BS, MS, or PhD in Computer Science, Robotics, Machine Learning, or a related field.
• 4+ years of experience developing machine learning systems for robotics, autonomous driving, or other real-time decision-making systems.
• Strong Python programming skills and experience with modern deep learning frameworks such as PyTorch.
• Strong understanding of deep learning, sequence modeling, transformers, diffusion models, or other modern ML architectures.
• Experience designing datasets, experiments, validation methodologies, and metric-driven model evaluation.
• Strong software engineering skills with experience developing and maintaining production-quality software.
• Excellent debugging and analytical problem-solving skills, with the ability to investigate complex issues across datasets, model behavior, and production systems.
• Experience analyzing edge cases, tracing failures to their root cause, and improving model robustness through systematic experimentation.
• Experience designing validation methodologies, automated testing, and monitoring to ensure correctness, safety, and production reliability.
• Strong ownership mindset with the ability to drive problems from investigation through implementation, validation, and deployment.
• Excellent communication skills and experience collaborating across cross-functional engineering teams.

Preferred Skills

• Experience with planning, prediction, motion forecasting, or trajectory generation.
• Experience deploying machine learning models into production environments.
• Working knowledge of modern C++ and production software development.
• Experience with TensorRT, ONNX Runtime, CUDA, or ML inference optimization.
• Experience with large‑scale distributed training or cloud-based ML infrastructure.
• Publications or open-source contributions in machine learning, robotics, or autonomous driving.

Bonus Qualifications

• Deep expertise in autonomous vehicle planning or motion prediction.
• Experience developing production ML systems for safety-critical applications.
• Experience leading technical direction for large ML projects.
• Strong intuition for balancing model quality, robustness, latency, and deployment constraints.
• Demonstrated ability to solve ambiguous, cross-functional engineering problems involving machine learning, software systems, and autonomous driving.

$130,000 - $220,000 a year

Your opportunities joining PlusAI

Work, learn and grow in a highly future-oriented, innovative and dynamic field.

Wide range of opportunities for personal and professional development.

Catered free lunch, unlimited snacks and beverages.

Highly competitive salary and benefits package, including 401(k) plan.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.