Advanced AI Systems Engineer / AI Technical Lead (GR 32)

PACCAR•Mount Vernon, WA

34d•$93,000 - $145,500

About The Position

This position is located within the Advanced Controls organization at PTC and involves the integration of energy management and battery management systems (BMS) for next-generation commercial vehicles. This includes analysis of functional and EE architectures for diverse electrified powertrains including battery electrical vehicles, fuel cell vehicles and hybrids. Additional responsibilities include interfacing with PACCAR divisions (Embedded Engineering, Kenworth, Peterbilt and DAF). The person will also work with external research and engineering organizations that are partnered with PACCAR.

Requirements

10+ years applicable experience in a related engineering discipline
Demonstrated experience developing and deploying AI/ML solutions or advanced data-driven tools
Strong technical background in programming, data analysis, and system integration
Proven ability to lead technical projects and coordinate cross-functional teams
Demonstrated strong analytical, problem-solving, and communication skills
Self-starter with high levels of initiative, innovation, and resourcefulness, consistent with expectations across engineering roles
Ability to manage multiple projects and deliver results in a fast-paced environment
Bachelor's Degree in a Science, Technology, Engineering, or Math (STEM) discipline required.

Nice To Haves

Advanced degree (Master’s or Ph.D.) in AI, Data Science, Computer Science, or related field
Experience applying AI in engineering, manufacturing, or automotive domains
Experience with large language models (LLMs), model context protocol (MCP), robotic process automation (RPA), and/or workflow automation tools
Familiarity with cloud platforms, data pipelines, and enterprise IT systems
Experience developing internal tools, dashboards, or AI-driven applications for business use cases
Experience influencing organizational adoption of new technologies
Experience collaborating in technical teams, including managing execution and fostering a positive working environment
Working knowledge of the software development lifecycle (V-cycle), including integration with requirements development, system design, and verification & validation activities
Advanced Degree (Master’s or Ph. D) or planned path to attainment desired.

Responsibilities

Lead development and implementation of artificial intelligence (AI) and machine learning solutions to enhance engineering, verification & validation (V&V), and manufacturing support activities
Develop AI-enabled tools, methods, and workflows to improve test automation, data analysis, anomaly detection, and validation efficiency across component, system, and vehicle testing environments
Integrate AI techniques into existing engineering and validation processes (including lab, HIL, and vehicle testing) to improve data utilization, test coverage, and insight generation
Identify and implement opportunities to improve engineering productivity, test cycle time, and quality through practical application of AI-driven tools and automation
Develop proof-of-concept AI solutions and transition mature implementations into reusable tools and workflows for broader use within PTC and applicable PACCAR divisions
Apply structured engineering approaches to develop and maintain data pipelines, datasets, and models supporting AI-enabled analysis of engineering and validation data
Quantify and communicate the performance improvements, efficiency gains, and cost impacts associated with deployed AI solutions to support internal project evaluations and prioritization
Support documentation and reporting of AI-driven improvements, ensuring alignment with engineering deliverables, program objectives, and value realization tracking
Coordinate with cross-functional teams (engineering, manufacturing support, and IT) to ensure successful integration and adoption of AI tools within existing workflows
Serve as a technical resource for AI applications within PTC, providing guidance and support to engineering teams adopting data-driven tools and methodologies
Work with internal stakeholders and external partners to evaluate emerging AI technologies and determine applicability to PACCAR engineering and validation activities
Communicate technical findings, tool capabilities, and implementation status to engineering teams and leadership on a regular basis
Contribute to continuous improvement of engineering processes by incorporating data-driven and AI-enabled approaches where appropriate
Maintain awareness of emerging AI technologies and engineering tools, and apply them to improve existing methodologies and processes

Benefits

Competitive salary and 401k with up to a 5% company match
Fully funded pension plan that provides monthly benefits after retirement
Comprehensive paid time off – Minimum of 10 paid vacation days, 12 paid holidays, and sick leave
Tuition reimbursement for continued education
Medical, dental, and vision plans for you and your family
Flexible spending accounts (FSA) and health savings account (HSA)
Paid short- and long-term disability program
Life and accidental death and dismemberment insurance
EAP services including wellness plans, estate planning, financial counseling and more
Global Fortune 500 company with a wide array of growth and development opportunities
Work alongside experienced goal-oriented colleagues recognized as experts in their field