Manufacturing Software Intern (Summer 2026)

Peak Energy

Job Title: Manufacturing Software Intern 

Location: Burlingame, CA 

Department: Manufacturing Operations

Reports to: Lead Software Engineer

Position Type: Full-time, In-office 

About the Company 

Peak Energy is the first American venture to advance globally proven Sodium-Ion battery systems as the storage standard for the new era of renewable energy on a resilient grid. 

Sodium-Ion is cheap, readily available and safe, making it the leading contender in a rapidly evolving market.  

Our leadership team is powered by decades of expertise in scaling gigawatt-level innovation at world-class companies such as Tesla, Northvolt, Apple, Powin, Enovix, Zipline, Solid Power, and Fluence. We are backed by strategic investment and product partners such as TDK Ventures and Eclipse Ventures.  

We are a team of engineers, operators, entrepreneurs, and partners driven by a shared ambition to set the new performance standard for renewable energy and grid resilience. 

About the Job 

Peak Energy is building the next generation of energy storage systems (ESS) for a cleaner grid. We combine advanced manufacturing with smart software to deliver reliable, long-duration storage at scale. Our engineering team works at the intersection of hardware, software, and data — and we're growing fast.

We are looking for a motivated engineering intern to join our Manufacturing Operations team. You'll work directly with our engineers on the software systems that power our production floor — from MES scripting and data pipelines to traceability workflows and cloud infrastructure. This is a hands-on role with meaningful ownership and direct exposure to ESS manufacturing operations.

What You'll Work On

• Develop and debug Ignition SCADA/MES scripts for production workflows and operator interfaces
• Perform on-site debugging of shop floor systems and provide hands-on support during production
• Shadow and support requirements gathering across process, manufacturing, and design teams to understand how MES needs to reflect real operational workflows
• Build and improve genealogy and traceability logic for ESS assembly processes
• Build and maintain data pipelines connecting shop floor systems to cloud infrastructure (AWS)
• Support cloud-based manufacturing data infrastructure including storage, compute, and event-driven pipelines on AWS (S3, Lambda, EKS)
• Contribute to internal tooling and dashboards that surface production and quality data

What We're Looking For

• Currently pursuing a B.S. or M.S. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Proficiency in at least one modern programming language (e.g. Python, Go, Rust, TypeScript, etc.)
• Interest in manufacturing systems, automation, or energy technology
• Must be able to work on-site in Burlingame, CA
• Self-directed, communicative, and comfortable working in a fast-moving startup environment

Nice to Have

• Exposure to SCADA, MES, PLC, or industrial automation (Ignition, Siemens, Rockwell, etc.)
• Familiarity with SQL or time-series data concepts
• Prior internship or coursework in manufacturing, robotics, or hardware-adjacent software

What You'll Get

• Direct mentorship from engineers running a real production MES
• Exposure to ESS manufacturing and energy storage at scale
• A concrete, demo-able deliverable — shipped code, not slide decks

The pay rate for this role is $30/hour, with actual pay varying based on work location, experience, and skills. Join us to thrive in a supportive environment while making a meaningful impact in the energy sector! 

At Peak Energy Technologies Inc., we believe that a diverse and inclusive workplace makes us a more capable, innovative, and competitive company. We welcome people who represent diversity in their backgrounds, ethnicities, cultures, and experiences. Peak Energy Technologies Inc. is an equal opportunity employer, aiming to reach our company’s full potential by cultivating an inclusive workforce. We do not discriminate on the basis of race, color, ancestry, religion, national origin, sexual orientation, citizenship, marital or family status, disability, gender identity or expression, veteran status, or any other legally protected status.