527 Engineer Ii Engine Coding jobs in Waukesha,WI

Manufacturing Engineer - Master Data

Brady Corporation

Milwaukee, WI 53223

~ 26 min OnsiteUrgently Hiring

The Manufacturing Engineer - Master Data is responsible for establishingmanufacturing and part planning standards for Operations.
This position worksclosely with R&D; as new product lines are launched by building SAP data forstock offerings and determining planning rules for custom parts.
This role requires refinedproject management skills, strong attention to detail, and the ability to leadtechnicians and/or hourly associates that may not report directly to theincumbent.

SmartExplore AI is experimental.

Recommended

Assistant Director, Software Engineering-Real Estate

Northwestern Mutual

Milwaukee, WI 53215

Flexible Schedule

Apply Directly

Manufacturing Engineer II

Watts

Menomonee Falls, WI 53051

~ 28 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in mechanical, electrical, industrial engineering, or related discipline.
Experience with CAD software.
Experience using office software products for spreadsheets, documents, and presentations.
Demonstrated ability to learn quickly, work independently, and manage multiple priorities effectively.
Working knowledge of Lean fundamentals and basic problem-solving methodologies.
Understanding of and adherence to applicable laws, codes, policies, regulations, and safety practices and procedures, as applicable.
Must successfully establish employment eligibility and satisfactorily complete background checks and required pre-employment testing as a condition of employment.
Travel between Menomonee Falls and Germantown facilities as needed.
Ability to remain seated at a desk or workstation for extended periods.
Ability to perform repetitive tasks like typing on a keyboard or using a mouse for extended periods.
Ability to physically move around the office and manufacturing floor, and organize or transport files, packages, or other office-related materials.
Ability to read documents, use a computer, and perform data entry tasks.
Ability to read documents and communicate clearly with management and coworkers, particularly in meetings or phone calls.
Ability to operate standard office equipment such as computers, printers, phones, and copiers.
Ability to stand for long periods of time.
Ability to lift and carry up to 50 pounds.
Ability to push and pull up to 50 pounds.
Ability to wear personal protective equipment, which may include, but is not limited to, safety shoes, hearing protection, and safety glasses.

SmartExplore AI is experimental.

Recommended

Apply Directly

Machinist, Engine Lathe - 3rd Shift (Eligible for $1,500 Hiring Bonus)

MetalTek International

Waukesha, WI 53188

$1,500 bonus

Onsite

Able to work from blueprints and specifications.
Solid shop math background.
Experience with a variety of precision measuring instruments.
General knowledge of machining practices and set ups.
1-3 years machining experience.
Familiar with use of crane and other lifting devices.
Able to lift and carry 50 lbs.

SmartExplore AI is experimental.

New, Posted 3 hours ago

Recommended

Apply Directly

Coder Lead, Professional

SSM Health

Waukesha, WI

Recommended

Apply Directly

Engineer, Metallurgical II

MetalTek International

Waukesha, WI 53188

Onsite

Bachelor's in metallurgical engineering, Materials Science, or related field

SmartExplore AI is experimental.

New, Posted 1 day ago

Recommended

Senior Systems Software Engineer

Northwestern Mutual

Milwaukee, WI 53215

Flexible Schedule

Recommended

Apply Directly

Sr. Software Engineer

Johnson Controls

Glendale, WI 53209

OnsiteHealth InsurancePaid Time OffRetirement Benefit

We are looking for a senior engineer who has shipped AI/ML and GenAI systems in production and can operate as a technical leader within a product scrum team.
7+ years of software engineering experience, with at least 5 years building and deploying AI/ML systems in production
Hands-on experience with the full ML lifecycle: data preparation, model training, evaluation, deployment, monitoring, and retraining
Strong foundation in machine learning fundamentals — supervised/unsupervised learning, time-series modeling, anomaly detection, and predictive analytics
Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, scikit-learn, or equivalent)
Experience with MLOps tooling: experiment tracking, model registries, deployment pipelines, and observability
Hands-on experience building production applications across multiple LLM providers (e.g., Anthropic, OpenAI, AWS Bedrock, Azure OpenAI, and open-source models)
Working knowledge of RAG architectures, vector databases, embedding pipelines, and retrieval strategies
Experience with agentic frameworks, multi-agent orchestration, and tool-calling patterns — including emerging standards like Model Context Protocol (MCP) (e.g., LangGraph, CrewAI, LlamaIndex, or custom implementations)
Strong evaluation discipline: ability to design, run, and reason about LLM evaluation pipelines — including eval datasets, LLM-as-judge techniques, and regression testing for prompts and model behavior
Experience with LLM observability and tracing — instrumenting model calls, tool calls, and retrievals in production (e.g., LangSmith, LangFuse, or OpenTelemetry GenAI conventions)
Strong software engineering fundamentals: clean code, system design, API development, and distributed systems
Experience with cloud platforms (Azure preferred) and containerized deployment (Docker, Kubernetes)
Comfortable working in an agile scrum team — shipping iteratively, participating in design reviews, and writing code others can maintain
Ability to communicate technical concepts clearly to non-technical stakeholders and influence product decisions with data

SmartExplore AI is experimental.

Apply Directly

Nuclear Engineer

U.S. Navy

Oconomowoc, WI 53066

New, Posted 23 hours ago

Apply Directly

Senior Manufacturing Engineer

Badger Meter

Milwaukee, WI 53215

~ 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Manufacturing, Mechanical, Industrial, Electrical Engineering, or a related field.
5+ years of manufacturing engineering experience in a production environment.
Experience supporting new product introductions and manufacturing process development.
Strong background in automation, process improvement, and manufacturing optimization.
Lean Six Sigma Green Belt required; Black Belt preferred.
Experience leading cross-functional projects and influencing stakeholders across multiple levels of an organization.
Ability to analyze and leverage manufacturing data to drive decision-making and continuous improvement.
An Equal Opportunity/Affirmative Action Employer. This company considers candidates regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

SmartExplore AI is experimental.