Senior Performance Engineer, WW Innovation Engineering

Amazon; Austin (TX); On-site; USD 80,000 - 130,000; Full time

Job summary

An innovative firm is seeking a Senior Performance Engineer to enhance automation solutions through rigorous testing and analysis. This role involves designing experiments that reveal performance insights, collaborating with a diverse team of engineers, and influencing product design decisions. Your expertise will drive engineering excellence and impact customer success in logistics automation. If you are passionate about experimental design and performance optimization, this is an exciting opportunity to shape the future of industrial automation.

Qualifications

• 5+ years of engineering experience in manufacturing or logistics.
• Hands-on experience in automation validation and performance optimization.

Responsibilities

• Design and execute experiments to validate machine performance.
• Analyze test results using statistical methods and troubleshoot issues.
• Collaborate with cross-functional teams to define performance requirements.

Skills

Statistical analysis

Automation validation

Problem-solving

Experimental design

Education

Bachelor's degree in Mechanical Engineering

Master's degree or advanced technical degree

Tools

Python

R

Minitab

JMP

Power BI

Tableau

SQL

Job description

Senior Performance Engineer, WW Innovation Engineering

Join to apply for the Senior Performance Engineer, WW Innovation Engineering role at Amazon.

Description

Are you passionate about pushing the boundaries of automation technology and uncovering the true potential of complex mechatronic systems? Do you thrive on designing clever experiments that reveal hidden performance insights and drive engineering excellence? Does the idea of being the bridge between innovative automation design and real-world performance excite you? Our Engineering team is looking for an experienced, analytically-minded Performance Engineer to help us maximize the capabilities of our automation solutions through rigorous testing, statistical analysis, and innovative problem-solving. You'll work at the intersection of mechanical, electrical, and software systems, collaborating with world-class engineers to ensure our products exceed customer expectations in the field. We offer the opportunity to influence product design decisions, value data-driven insights, and foster a culture of technical excellence.

Join us in shaping the future of industrial automation where your expertise in experimental design and performance optimization will have a direct impact on our customers' success.

Key job responsibilities

• Design and execute comprehensive experiments to validate machine performance, establish operational boundaries, and drive design improvements.
• Apply statistical methods to analyze test results, troubleshoot complex process issues, and develop innovative solutions.
• Participate in technical reviews and influence automation architecture decisions to ensure optimal performance outcomes.
• Collaborate with cross-functional teams including Simulation, Business Intelligence, Operations, and Process Engineering to define and validate performance requirements.
• Create structured test plans, conduct rigorous performance evaluations, and identify system limitations.
• Translate technical findings into actionable business insights.
• Build self-service tools to streamline testing procedures and maintain detailed documentation of testing protocols and results.

About The Team

Innovation and Design Engineering is a cross-functional team of mechatronic engineers, controls engineers, data engineers, and simulation scientists dedicated to making revolutionary advances in logistics automation. We design and build systems including robotics, conveyoring, automated storage, and vision systems to improve safety, speed, and quality in Amazon's last mile operations worldwide.

Basic Qualifications

• Bachelor's degree in Mechanical Engineering, Mechatronics, Industrial Engineering, or related technical field
• 5+ years of relevant engineering experience in manufacturing, logistics, or similar fields
• Hands-on experience in automation validation

Preferred Qualifications

• Master's degree or advanced technical degree
• Proficiency in statistical analysis tools and techniques, including Python, R, Minitab, JMP, Power BI, Tableau, and SQL

Amazon is an equal opportunity employer and values diversity. For workplace accommodations, please visit https://amazon.jobs/content/en/how-we-hire/accommodations.