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Cummins

Builds engines, generators, and powertrains

Systems Engineer

Applied Machine LearningPosted on Nov 13
Full-timeSeymour, IN, USA$67.2k - $100.8k /yrIn-person

About the Job

Requirements

  • A bachelor's degree in Engineering or an appropriate STEM field is required.
  • Candidates should have relevant experience from temporary student employment such as an internship, co-op, or extracurricular team activities, or experience as an early-career professional in a relevant technical discipline area.
  • Candidates must reside within the continental United States and be within two years of completing their highest degree for Exempt Entry Level eligibility.
  • F-1 visa students in U.S.-based roles must obtain university-authorized CPT or OPT related to their degree before the assignment begins.
  • Knowledge of Microsoft Office tools is preferred.

Responsibilities

  • Investigate product problems, understand causal mechanisms, recommend appropriate actions, own problem resolution, and document results with guidance from more experienced team members.
  • Work in business processes such as PPT, VPI, or CPS and execute technical processes such as ESW, iDFMEA, and FIRG using tools such as 7-step problem solving and design review checklists.
  • Obtain input from technical managers, project leaders, product and manufacturing engineers, and supplier partners to provide information and recommendations for product decisions.
  • Apply academic knowledge and experience to make decisions that advance projects while meeting quality expectations, including decisions on project details, analysis or test work instructions, and cross-discipline coordination.
  • Own resolution of moderately complex components, products, systems, subsystems, or services, with increasing technical complexity and ambiguity as experience grows.
  • Independently execute established work processes and systems while developing product knowledge and contributing to process and system improvements.
  • Coordinate and direct work among technicians and temporary student employees as needed.
  • Partner with business subject matter experts to understand failure modes, interpret how failures appear in data, and translate insights into scalable models.
  • Build, deploy, and sustain cloud-based prognostic and diagnostic models using connected telematics data to detect and predict equipment failures.
  • Use data science techniques with Python, SQL, and PySpark for data exploration, feature engineering, model development, validation, and optimization.
  • Manage the model lifecycle from problem framing and data analysis through deployment, monitoring, and continuous improvement.
  • Use Git, Visual Studio Code, and Databricks for collaborative, production-ready model development.
  • Contribute to and operate within Data Engineering, MLOps, and CI/CD frameworks to support onboarding, deployment, and solution maintainability.
  • Translate stakeholder needs into virtual designs and communicate design capability through cross-functional design reviews.
  • Identify and mitigate product failure modes and causes to improve product reliability.
  • Use computational tools and methods for product function modeling, simulation, and analysis to inform product design decisions.
  • Analyze interfaces and interactions across system boundaries, define requirements and limits, control interactions, and create integration plans.
  • Solve product problems by determining causes, implementing data-based solutions, and recommending actions to prevent recurrence.
  • Develop product validation plans, manage product risk, evaluate analytical, simulation, and physical test results, and document recommendations supporting product decisions.
  • Translate stakeholder needs into verifiable system requirements, establish acceptance criteria, track requirements throughout the system lifecycle, assess changes, and maintain artifact linkages.
  • Define system boundaries, context, interfaces, lifecycle, scope, and deliverables; analyze system interactions to predict behavior and identify modifications.
  • Apply statistical methods including descriptive statistics, probability distributions, graphical analysis, statistical inference, analysis of variance, regression, and design of experiments.
  • Document technical knowledge and communicate it to stakeholders to improve productivity and knowledge transfer.
  • Plan, schedule, coordinate, and execute product development activities; monitor work across functions, meet resource and quality expectations, manage project risks, and ensure product capability meets expectations.
  • Specify software features and control-system architectures for Cummins products, including measurements, actuation, algorithms, and open- and closed-loop interactions between hardware and software.

Desired Qualifications

  • A relevant postgraduate master's degree may be required for select roles.
  • Relevant experience in temporary student employment, such as an internship or co-op, or extracurricular team activities is preferred.
  • Knowledge of Microsoft Office tools is preferred.

About the Company

Cummins

Builds engines, generators, and powertrains

Cummins designs and manufactures engines, power generation systems, and related components for commercial vehicles, industrial machinery, and stationary power. Vehicle and equipment makers install its diesel and natural gas engines, while businesses use its generator sets for backup and continuous electricity. Its components include turbochargers, emissions controls, transmissions, axles, and brakes, and its Accelera business builds batteries and electric powertrain systems. Cummins earns revenue from equipment and component sales, replacement parts, and maintenance through company-owned and independent distributors and dealers. Cummins was founded in 1919 and is headquartered in Columbus, Indiana.

Company size
10,001+
Company stage
IPO
Headquarters
Columbus, IN
Founded
1919

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