Manufacturing Engineer I responsible for evaluating and improving manufacturing processes, tooling, and workflow to enhance efficiency and support product development.
Responsibilities
Provide manufacturing feasibility assessments for capacity and design changes
Develop process flow and line layout requirements
Implement effective work instructions
Define and maintain capital equipment and tooling budgets
Project manage procurement and acceptance of equipment and tooling
Requirements
Bachelor’s degree in Engineering or related technical field
Utilizes Data Analytics to analyze existing operational processes and develop metrics and reporting to optimize and improve program & operational performance.
Lead efforts as Digital Transformation Champion to align Sunnyvale's goals with the sector and enterprise strategies.
Creates new metrics and data visualizations to monitor shop floor performance.
Analyzes lead times, queue times, work-in-process, cycle times, and throughput to meet customer demand most effectively and efficiently.
Builds scalable and sustainable models to optimize product flow, while incorporating cost, schedule, and resource constraints.
Requirements
Bachelor’s degree with 2 or more years of industrial engineering or manufacturing experience; OR master’s degree with 0 or more years of industrial engineering or manufacturing experience.
Bachelor’s degree with 5 or more years of industrial engineering, manufacturing, or data analysis experience; OR master’s degree with 3 or more years of industrial engineering, manufacturing, or data analysis experience.
Nice to have: improving manufacturing workflow using optimization, modeling, or simulation methods
Analyzes and designs sequence of operations and work flow to improve efficiencies in plant and production facilities and equipment layouts; and establishes methods for maximum utilization of production facilities and personnel.
Compensation
Primary Salary Range: $161,000.00 - $241,400.00
Responsibilities
Analyzes and designs sequence of operations and workflow to improve efficiencies in plant and production facilities and equipment layouts
Establishes methods for maximum utilization of production facilities and personnel
May establish or assist in establishing accident prevention measures and may manage training programs for personnel concerning all phases of production operations
Conducts studies pertaining to cost control, cost reduction, inventory control, and production record systems
Develops and implements plans and programs for facility modifications and revisions to operating methods
Support forward model and capacity studies for all milestones including Direct Labor and Indirect Labor in Powertrain Operations.
Compensation
This position is a salary grade 5-8 and ranges from $63,480-162,120..
Responsibilities
Lead new model labor optimization efforts to achieve labor targets, through benchmarking (internal and external), target setting, tracking process change, and replicate across programs/Plants
Support the cycle line layout planning process & virtual build events with future model operator allocations and time studies, and work with plants to support physical build events & program launches
Minimize and/or offset labor impacts through Kaizen, plant tasks/projects, and identifying design/process opportunities
Support Transmissions and Power Unit request at labor SAR items
Assist with operator allocations, cycle line layouts, plant rebalances, line speed changes, time studies, throughput issues, and launch support
Requirements
Bachelor’s degree in Engineering in Industrial
Mechanical
or equivalent field of study
Nice to have: Plant Industrial Engineering & Manufacturing Process operations experience
Nice to have: Capacity & Operating Pattern knowledge
Support manufacturing operations through process improvement, automation, robotics, and digital manufacturing initiatives.
Responsibilities
Support day-to-day manufacturing operations by troubleshooting and resolving production issues.
Identify and implement continuous improvement opportunities using Lean Manufacturing, Six Sigma, Poka-Yoke, and other problem-solving methodologies.
Evaluate new and existing products, processes, and equipment for manufacturability and assembly efficiency.
Develop and improve manufacturing processes, tooling, work instructions, and production documentation.
Support automation, robotics, and digital manufacturing initiatives.
Requirements
Bachelor's degree in Engineering, Engineering Technology, Manufacturing, Industrial Engineering, Mechanical Engineering, or related technical field; OR Associate's degree with 5+ years of relevant manufacturing experience
The Industrial Engineer creates work standards, performs time studies, designs layouts, and conducts continuous improvement to optimize manufacturing performance and reduce costs.
Responsibilities
Creates & maintains Work Standards for direct labor & machine cycle times used for manufacturing performance standards.
Performs time studies, line balancing & capacity analysis.
Uses pre-determined time study techniques (eg. Work Factor, MTM).
Conduct studies in operations to maximize work flow and spatial utilization.
Creates & maintains facility & process layouts using AutoCad.
Rivian is seeking an innovative engineer who combines expertise in AI/ML with a passion for quality and manufacturing excellence in the Body Assembly area. This role is crucial in driving our digital transformation initiatives through the development and implementation of AI-powered solutions.
Compensation
The salary range for this role is $98,500-$123,100 for Illinois based applicants.
Responsibilities
Apply fundamental process engineering principles and advanced statistical methods, including ML/AI algorithms, to analyze manufacturing data (e.g., End of line test data, sensor data, press data, LVDT data, historical trends, operational logs).
Develop and implement predictive models for key performance indicators (KPIs) such as yield, throughput and equipment downtime.
Collaborate with IT and operations teams to establish data pipelines, ensuring data quality, accessibility, and integrity for ML model training and deployment.
Utilize data collected by Rivian’s MES database system for model training.
Design, train, validate, and deploy robust ML models (e.g., classification, regression, time-series forecasting) for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
Track key metrics such as cycle time, scrap, and on-time delivery. Train operators and supervisors on lean tools and methods. Support 5S and visual management across work areas. Analyze root causes of downtime and quality defects. Lead continuous improvement projects on the production floor. Map value streams and identify waste in current processes. Run kaizen events with production and maintenance teams. Develop and update standard work instructions.
Mainspring Energy is looking for a Senior Industrial Engineer to help design production lines for linear generators that change how the world gets dependable, clean power.
Responsibilities
End-to-end design of assembly and production lines
Break the work down station by station: define work content, sequence, and precedence for each operation
Calculate takt time, cycle times, number of stations, and operator headcount needed to meet volume targets
Perform line balancing to reduce idle time and bottlenecks and get the most labor and equipment out of the line
Design the line flow and layout, including station placement, buffers, WIP strategy, and operator movement
Requirements
Bachelor's or Master's degree in Industrial, Mechanical, or Manufacturing Engineering, or a related field