# Senior Industrial Engineer

**Company**: Anduril Industries
**Location**: Costa Mesa, California, United States
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Salary**: $129,000-$171,000 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/andurilindustries/jobs/5088849007?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4eb29afa-191

## Description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold.

The Manufacturing Team is seeking a Senior Industrial Engineer to join our team with an emphasis on manufacturing optimization. The role will support the development of simulation and optimization models to predict the behavior of manufacturing processes to drive real-world adaptations.

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The right person for this role can demonstrate holistic ownership on solving operational challenges with creative solutions in a fast-paced, resource-limited environment. This person will be flexible to change and ambiguity in their working environment, while working to ensure products are built and shipped on-time under stringent quality standards.

**Key Responsibilities:**

- Capture the current process including all physical constraints, business rules, and detailed decision logic into a 3D simulation-based virtual factory to serve as process and operational knowledge base.

- Create feasible results, plans, and schedules for shop floor, warehouse, factory, and supply chain execution in all the relevant time ranges by ensuring that all scheduled operations are resource capacity, material, and timeline feasible.

- Maintain an adaptive, data-generated, and driven virtual factory to always retain a 'current status' digital reference model for determining future performance of the factory/supply chain whenever required for different transformation projects and investment decisions.

- Own the design of new production lines and work station layouts, both for low-rate and full-rate production, leveraging a data-driven approach.

- Proactively identify high-variation processes, imbalances, and bottlenecks caused by line layout, equipment constraints, staffing shortages, and other production inputs; flag constraints with the appropriate owners across Manufacturing, Supply Chain, Engineering, and Quality and drive to resolution.

- Translate and drive action from metrics, KPIs, and reporting associated with monitoring production line health and efficiency, such as cycle time, throughput rate, capacity, utilization, and first-pass yield.

- Produce and maintain capacity plans, balanced line layouts, staffing allocations, and time standards for manufacturing work content.

- Collaborate and drive operational improvements end-to-end for next-generation defense products as we scale in maturity and production rate.

- Work across domains, from execution-based work to the strategic future state of a product or business line.

**Requirements:**

- 8+ years of experience in a fast-paced manufacturing environment.

- Experience with Technomatix 'Plant Sim' simulation software or equivalent DES (Promodel, FlexSim, Simio, etc.) or basic knowledge in object-oriented computer programming (example languages: Python, R, C++, Java, etc.) or working with large data sets with SQL or No-SQL.

- Ability to read technical documentation such as facility drawings, assembly drawings, technical specifications, and procedures for manufacturing processes for electronics, mechanical, and electromechanical assembly, system tests, and/or structures work.

- Ability to work in ambiguity.

- Must be a U.S. Person due to required access to U.S. export-controlled information or facilities.

**Preferred Qualifications:**

- Bachelor's degree in engineering.

- Prior work designing and/or setting up new production lines or factories.

- Experience with Lean Manufacturing and/or Continuous Improvement and Six Sigma principles in action.

- Experience interacting with data via data visualization applications or SQL queries.

- Ability to completely own a value chain from start to finish, measuring each step of the process, creating actionable tasks that culminated in a significant and sustainable business improvement.

- Prior experience with ERP, WMS, and MES systems.

- Knowledge of stochastic and deterministic models when to apply them.

- Proficient in handling large data sets, including filtering, identifying trends, and graphical representation.

- Candidate should have knowledge of design engineering and manufacturing engineering processes including:

- 3D CAD design/modeling of parts and assemblies.

- 3D factory layout.

- Manufacturing process planning of fabricated parts, and complex discrete assembly process.

- Manufacturing simulation of assembly processes, human ergonomics, and discrete event simulation.

- Strong manufacturing data analytics and statistical analysis background with proficiency in statistical process control.

## Skills

### Required
- Technomatix 'Plant Sim' simulation software
- DES (Promodel, FlexSim, Simio, etc.)
- Object-oriented computer programming (Python, R, C++, Java, etc.)
- SQL or No-SQL
- Technical documentation (facility drawings, assembly drawings, technical specifications, procedures)

### Nice to have
- Lean Manufacturing
- Continuous Improvement
- Six Sigma
- Data visualization applications
- SQL queries
- ERP
- WMS
- MES systems
- Stochastic and deterministic models
- Large data sets (filtering, identifying trends, graphical representation)
- Design engineering
- Manufacturing engineering
- 3D CAD design/modeling
- 3D factory layout
- Manufacturing process planning
- Manufacturing simulation
- Human ergonomics
- Discrete event simulation
- Manufacturing data analytics
- Statistical analysis
- Statistical process control

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