Advanced Manufacturing Engineer

Job Description

Job Description

Job Title: Advanced Manufacturing Engineer Job Description

This role leads simulation and digital twin development for a critical defense manufacturing program, using Siemens Tecnomatix to design and analyze digital production environments that support modernization and digital engineering objectives. The Advanced Manufacturing Engineer evaluates products within multiple facility layouts, runs production simulations, identifies bottlenecks, analyzes capacity constraints, and develops manufacturing strategies that optimize production performance. The position collaborates closely with internal teams and customer stakeholders to establish robust digital manufacturing environments and drive data-driven production planning and execution.

• Develop initial production envelopes and manufacturing concepts that align with program objectives and production constraints.
• Create, configure, and maintain production digital twin models using Siemens Tecnomatix to represent complex manufacturing systems.
• Conduct discrete event simulations to evaluate production performance, validate concepts, and support operational decision-making.
• Perform line balancing and capacity analysis to ensure efficient use of resources and to meet throughput and takt time targets.
• Identify production bottlenecks, evaluate alternative shift and staffing scenarios, and recommend improvements to optimize flow.
• Develop virtual commissioning planning approaches that enable verification and validation of manufacturing systems before physical deployment.
• Configure digital production environments, including layouts, process flows, and equipment models, to reflect current and future-state operations.
• Establish digital production architecture baselines that define standards, structures, and integration points for digital manufacturing systems.
• Develop product, process, quality, execution, and genealogy data models to support traceability, analytics, and continuous improvement.
• Support configuration management and release workflows to ensure digital models and simulations remain accurate, controlled, and up to date.
• Establish foundations for work order execution within digital environments to enable reliable, data-driven production planning and scheduling.
• Collaborate with internal engineering, operations, and customer teams to translate manufacturing requirements into actionable simulation models.
• Use simulation results and analytical insights to influence manufacturing strategy and guide implementation across multiple facilities.
• Prepare and present findings, recommendations, and technical documentation to customer stakeholders and cross-functional teams.

• Hands-on experience with Siemens Tecnomatix for digital manufacturing, simulation, and digital twin development.
• Proven experience in manufacturing simulation and discrete event simulation to support production planning and optimization.
• Advanced manufacturing engineering experience, with direct involvement in designing and improving production systems.
• Industrial engineering background with strong knowledge of line design, capacity planning, and workflow optimization.
• Demonstrated experience in digital twin development and implementation within manufacturing environments.
• Expertise in line balancing and capacity analysis to align resources with demand and performance targets.
• Proficiency in bottleneck analysis and production optimization techniques to improve throughput and efficiency.
• Experience in manufacturing process improvement and lean manufacturing methodologies.
• Strong understanding of manufacturing processes and production systems across the product lifecycle.
• Ability to translate manufacturing requirements into accurate, meaningful simulation and digital twin models.
• Experience using simulation tools to drive operational decisions and support data-driven recommendations.
• Excellent analytical and problem-solving skills with the ability to interpret complex data and scenarios.
• Strong communication skills with the ability to interface effectively with customers and cross-functional teams.
• Ability to travel up to 25% domestically, primarily to manufacturing facilities.

• Experience supporting advanced manufacturing initiatives in highly regulated or complex industries.
• background in collaborating with customer stakeholders to define requirements and present technical findings.
• Familiarity with configuration management and release workflows for digital models and simulations.
• Experience developing product, process, quality, execution, and genealogy data models in manufacturing environments.
• No formal degree required; applicable industry experience will be fully considered in lieu of traditional education.
• Interest in contributing to modernization initiatives and next-generation production environments.
• Ability to work in a high-visibility role with direct impact on manufacturing strategy and execution.

This is an onsite role within a collaborative environment focused on advanced manufacturing initiatives for defense-related programs. The position involves direct interaction with customer stakeholders and manufacturing teams to design, simulate, and refine production systems. The role requires domestic travel up to approximately 25%, primarily to manufacturing facilities in regions such as Ohio and Alabama, to support on-site assessments, implementation, and coordination. The work setting emphasizes the use of advanced Siemens manufacturing technologies, digital twin platforms, and simulation tools to shape next-generation production environments and support modernization objectives.

This is a Contract position based out of Auburn Hills, MI.

The pay range for this position is $40.00 - $60.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Auburn Hills,MI.

This position is anticipated to close on Aug 3, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email View email address on ziprecruiter.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.