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Battery Machine Learning Jobs in Irvine, CA (NOW HIRING)

Rivian

Sr. Manager Durability CAE

Irvine, CA · On-site

$196K - $245K/yr

... battery structures. • Advanced Simulation Management: Oversee complex, full-vehicle explicit ... integration of AI/Machine Learning for automation. • Test-to-Simulation Correlation: Lead ...

Rivian

Sr. Manager Durability CAE

Irvine, CA · On-site

$196K - $245K/yr

... battery structures. Advanced Simulation Management: Oversee complex, full-vehicle explicit ... Machine Learning for automation. Test-to-Simulation Correlation: Lead correlation efforts using ...

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Battery Machine Learning information

What is battery machine learning?

Battery machine learning involves the application of machine learning algorithms to analyze, predict, and optimize the performance, lifespan, and safety of batteries. Professionals in this field work on developing data-driven models to forecast battery degradation, enhance energy management systems, and improve battery design. Their work is crucial in sectors such as electric vehicles, renewable energy storage, and consumer electronics, where battery efficiency and reliability are key. By leveraging large datasets from battery usage and testing, they help accelerate innovation and reduce costs in battery technology.

What are the key skills and qualifications needed to thrive as a battery machine learning engineer?

To thrive as a Battery Machine Learning Engineer, you need a strong background in machine learning, data analysis, and battery science, typically supported by a degree in engineering, computer science, or a related field. Familiarity with Python, TensorFlow or PyTorch, data processing tools, and battery management system (BMS) software is highly valued. Strong problem-solving skills, collaboration, and effective communication set standout professionals apart in this role. These skills are essential to develop accurate predictive models that optimize battery performance and longevity, driving innovation in energy storage technologies.

What are some common challenges faced by professionals working in battery machine learning roles?

Professionals in Battery Machine Learning often encounter challenges related to limited or noisy datasets, as battery performance data can be expensive and time-consuming to collect. Additionally, integrating domain knowledge from electrochemistry with advanced machine learning techniques requires strong interdisciplinary collaboration. Staying up-to-date with both the latest AI methods and battery technology advancements is essential but can be demanding. Collaborating closely with researchers, engineers, and data scientists is a key aspect of the role, as projects frequently depend on cross-functional teamwork to translate predictive insights into practical battery innovations.

What are popular job titles related to Battery Machine Learning jobs in Irvine, CA?

For Battery Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

What cities near Irvine, CA are hiring for Battery Machine Learning jobs?

Cities near Irvine, CA with the most Battery Machine Learning job openings:

Battery Machine Learning jobs near you
Infographic showing various Battery Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution.

AME Equipment Engineer, Battery

Harbinger Motors Inc.

Garden Grove, CA

Full-time

Re-posted 10 days ago

Job description

Position Overview

We're looking for an experienced Advanced Manufacturing Engineering Equipment Engineer to lead the design concept, specifications, development, project management, installation and capability of the battery and module manufacturing equipment. This role is critical for establishing and scaling our in-house battery production, improving safety, efficiency, quality, and innovation from concept to high volume mass production. If you have a deep understanding of battery manufacturing processes and a history of delivering complex high volume equipment solutions in a fast-paced environment, we want to hear from you.

What You'll Do: 
  • Strategic Equipment Leadership: Define and implement the long-term equipment strategy for battery cell and pack manufacturing, aligning with product roadmaps, production targets, and cost goals of the company.
  • Full Lifecycle Management: Lead the entire equipment lifecycle: concept, specification, vendor selection, design review, installation, commissioning, ramp-up, and continuous improvement.
  • New Facility and Line Setup: Lead the planning, layout, and installation of new battery manufacturing lines within existing or new facilities. This includes space optimization, utility requirements, and ensuring seamless integration of equipment.
  • Technical Expertise: Act as the technical expert for battery manufacturing equipment, including:
  • Vendor Management & Collaboration: Partner with equipment suppliers, leading technical discussions, negotiating specifications, and ensuring on-time delivery and performance.
  • DFM/DFA Integration: Collaborate with battery design and product engineering teams to optimize designs for manufacturability (DFM) and assembly (DFA) on automated equipment.
  • Process Optimization: Drive continuous improvement for equipment performance, uptime, yield, and cycle time through data analysis, root cause analysis, and robust solutions.
  • Safety & Compliance: Ensure all equipment designs and installations meet safety standards, environmental compliance, and relevant industry regulations.
  • Team Development: Mentor and guide less experienced engineers, fostering technical excellence and continuous learning.
  • Cross-Functional Leadership: Work with R&D, Quality, Operations, Supply Chain, and Facilities teams for successful project execution and integration of new equipment.

Who You Are: 

  • 13+ years of experience in advanced manufacturing engineering, with at least 8+ years focused on battery manufacturing equipment in automotive EV or a related high-volume manufacturing industry (e.g., consumer electronics, energy storage).
  • Proven experience with factory layout planning, utility integration, and scaling manufacturing lines within new or expanding facilities.
  • Bachelor's or Master's degree in Mechanical Engineering, Electrical Engineering, Mechatronics, Industrial Engineering, or a related technical field.
  • Deep expertise in various cell, module & battery manufacturing processes (e.g., cell testing, assembly, welding, laser cleaning, foaming and module/pack assembly).
  • Proven history of bringing new, complex manufacturing equipment online from concept to high-volume production.
  • Strong understanding of automation principles, robotics, machine vision, and control systems in manufacturing.
  • Experience with equipment specification, procurement, vendor qualification, and contract negotiation.
  • Proficiency in CAD software (e.g., SolidWorks, 3DX, AutoCAD) for reviewing equipment designs and layouts.
  • Ability to perform root cause analysis and implement effective corrective actions for equipment issues.
  • Self-starter with a sense of urgency and ability to thrive in a fast-paced, ambiguous startup environment.
  • Team and result oriented.
  • Willingness to travel domestically and internationally as required for vendor visits, installations, and support. This role requires up to 25% travel. 

Preferred Qualifications:

  • Experience with large-scale battery production.
  • Familiarity with lean manufacturing principles and Six Sigma methodologies.
  • Project management certification (e.g., PMP).
  • Experience with battery cell chemistry and electrochemical principles.
  • Previous experience working in a startup environment.

Apply