The Role
Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.
Summary Generated by Built In
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 are seeking a Senior Machine Learning Engineer with expertise in deep learning and data analysis. In this role, you will apply data-driven techniques to develop high-fidelity, scalable vehicle simulation models tailored to various vehicle platforms. You will collaborate with cross-functional teams to advance autonomous driving technology and drive innovation in simulation and model development.
Responsibilities:
- Develop accurate, scalable vehicle dynamics models from collected road test data, leveraging deep learning and advanced data analysis techniques.
- Conduct in-depth analysis of road test data to identify trends, anomalies, and key performance indicators to enhance model accuracy.
- Integrate the data-driven models into simulation pipelines with seamless compatibility.
- Design and implement an automated modeling pipeline for periodic model training, evaluation, and updates.
- Collaborate with cross-disciplinary teams to reproduce and resolve issues encountered during real-world road tests.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
- Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts.
Required Skills:
- MS (with 3+ years of relevant experience) or PhD new grad in mechanical, electrical, aerospace engineering, physics, computer science, or a related field.
- Extensive experience applying deep learning techniques to time series forecasting and data analysis.
- Proficient in Python with experience working in large codebases.
- Excellent communication skills and the ability to collaborate effectively in a team setting.
- Familiarity with state-of-the-art deep learning models and their applications.
- Ensure that technical work meets customer requirements, regulatory standards, and company quality policies.
Preferred Skills
- Proficient in C++
- Background in autonomous vehicle prediction, planning, and control
- Strong understanding of conventional vehicle dynamics modeling
- Experience with autonomous vehicle or robotics simulation and related concepts
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.
Skills Required
- MS or PhD in mechanical, electrical, aerospace engineering, physics, computer science, or a related field
- 3+ years of relevant experience applying deep learning techniques to time series forecasting and data analysis
- Proficient in Python with experience in large codebases
- Excellent communication skills and collaboration in a team setting
- Familiarity with state-of-the-art deep learning models and their applications
Plus Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Plus and has not been reviewed or approved by Plus.
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Leave & Time Off Breadth — Unlimited PTO in addition to company holidays and flexible work arrangements are offered, indicating broad time-off flexibility. This setup signals strong support for taking time away from work.
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Healthcare Strength — Tiered medical, dental, and vision options allow employees to select coverage that fits their needs. This breadth of core health coverage aligns with a comprehensive benefits approach.
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Wellbeing & Lifestyle Benefits — Daily catered lunches at key offices and company-sponsored professional development add meaningful day-to-day and growth-oriented perks. These offerings enhance overall wellbeing and workplace experience.
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The Company
What We Do
Plus is a global provider of highly automated driving and fully autonomous driving solutions. Named by Forbes as one of America's Best Startup Employers and Fast Company as one of the World’s Most Innovative Companies, Plus's customers are already operating its product on the road today. Working with one of the largest companies in the U.S., vehicle manufacturers and others, Plus is making transportation safer and greener. Plus has received a number of industry awards and distinctions for its transformative technology and business momentum from Fast Company, Insider, Consumer Electronics Show, AUVSI, and others. For more information, visit www.plus.ai
