JobTarget Logo

Senior Machine Learning Engineer, Simulation at PlusAI Inc – Santa Clara, California

PlusAI Inc
Santa Clara, California, 95050, United States
Posted on
Updated on
Salary:$130000 - $200000Job Function:Information Technology

Explore Related Opportunities

About This Position

Senior Machine Learning Engineer, Simulation

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 Worlds Most Innovative Companies. Partners including TRATON GROUPs 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 youre 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 companys 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 PlusAIWork, 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.
$130,000 - $200,000 a year

Job Location

Santa Clara, California, 95050, United States

Frequently asked questions about this position

Latest Job Openings in California

Maintenance Technician II

Sares-Regis Group
San Francisco, CA

OPERATIONS MANAGER

Rafiki Coalition
San Francisco, CA

Respiratory Therapist (RT)

AdaptHealth LLC
Santa Rosa, CA

Material Handler

B. Braun US Pharmaceutical Manufacturing LLC
Irvine, CA
Continue to apply
Enter your email to continue. You’ll be redirected to the employer’s application.
By clicking Continue, you understand and agree to JobTarget's Terms of Service and Privacy Policy.
Apply Now