Senior ML Engineer - Autonomous Vehicle Simulation

PlusAI, Inc.; Santa Clara (CA); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Catered lunch

Unlimited snacks and beverages

401(k) plan

Competitive salary

Job summary

PlusAI, Inc. is seeking a Senior Machine Learning Engineer with a focus on simulation to develop high-fidelity vehicle models for autonomous trucks. You will leverage deep learning and time-series analysis on road-test data to improve modeling accuracy and scalability.

Collaborating with cross-functional teams, you will integrate data-driven models into end-to-end simulation pipelines, design automated training workflows, and help advance autonomy through robust, compliant software solutions.

Qualifications

• MS or PhD in a relevant engineering or CS field.
• Experience applying deep learning to time series data.
• Proficiency in Python and large codebases.
• Excellent communication and teamwork.

Responsibilities

• Develop scalable vehicle dynamics models from road test data using deep learning.
• Analyze road test data to identify trends and KPIs to improve models.
• Integrate data-driven models into simulation pipelines.
• Design automated modeling pipelines for periodic model training and evaluation.
• Collaborate with cross-functional teams to reproduce issues from road tests.
• Ensure work meets customer requirements, regulatory standards, and QMS.
• Contribute to continuous improvement efforts.

Skills

Deep learning

Time series forecasting

Python

Communication skills

Collaborative teamwork

C++

Education

MS or PhD in mechanical, electrical, aerospace engineering, physics, computer science, or related field

Job description

PlusAI, Inc. is seeking a Senior Machine Learning Engineer with a focus on simulation to develop high-fidelity vehicle models for autonomous trucks. You will leverage deep learning and time-series analysis on road-test data to improve modeling accuracy and scalability.

Collaborating with cross-functional teams, you will integrate data-driven models into end-to-end simulation pipelines, design automated training workflows, and help advance autonomy through robust, compliant software solutions.