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Remote Battery Modeling Jobs in California (NOW HIRING)

Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and ... West Coast, Southwest or Mountain , Remote Duties and Responsibilities: * Technical team contact in ...

Sr. Network Engineer

San Diego, CA · Remote

$110K - $151K/yr

... models for cybersecurity risk before deployment, and ensure vendors follow approved remote-access ... battery storage, gas generation) and data center * 5+ years of experience with Microsoft Azure ...

Principal AI/ML Engineer

Sunnyvale, CA · On-site +1

$296K - $423K/yr

We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery ... Guidethe integration of trajectory generation models intoreal-time onboard systemswith strict ...

With sales and service locations throughout the world, and over 100 years of battery experience ... Support threat modeling, risk assessments, and security architecture reviews for applications.

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Predictive Modeling Projects * Educate Finance Team about AI Applications & Tools * Project ...

Remote (US) Type: Full-time About the job Description Current Home runs on Salesforce. It's where ... Own the day-to-day health of the Salesforce org -- users, security and the sharing model, custom ...

Remote (US) Type: Full-time About the job Description Current Home runs on Salesforce. It's where ... battery, roofing, and HVAC business in California. This is a builder's role on a small, high ...

Showing results 21-40

Remote Battery Modeling information

What is the difference between Remote Battery Modeling vs Remote Battery Testing?

AspectRemote Battery ModelingRemote Battery Testing
Required CredentialsEngineering degree, knowledge of battery chemistry, modeling softwareEngineering or technical degree, testing certifications, lab experience
Work EnvironmentPrimarily computer-based, data analysis, simulationLaboratory or field testing, equipment operation
Industry UsageDesign, simulation, and optimization of batteriesValidation, quality assurance, performance testing

Remote Battery Modeling focuses on creating simulations and predictive models of battery behavior using software tools, while Remote Battery Testing involves physically testing batteries to verify performance and safety. Both roles require technical expertise but differ in their approach—modeling is data-driven and virtual, whereas testing is hands-on and experimental.

What are the typical challenges faced when collaborating remotely within a battery modeling team?

One common challenge in remote battery modeling roles is ensuring seamless communication among team members who may be working across different time zones and disciplines. Since projects often require input from electrochemists, software engineers, and data scientists, maintaining clear documentation and regular virtual meetings is crucial for project success. Additionally, remote roles may require the use of collaborative simulation tools and shared repositories to keep work synchronized. Proactive communication, effective project management software, and setting clear expectations help address these challenges and foster a collaborative remote work environment.

What are the key skills and qualifications needed to thrive in remote battery modeling?

To excel in Remote Battery Modeling, you need a solid background in electrochemistry, battery systems, and advanced mathematical modeling, usually supported by a degree in engineering, physics, or a related field. Proficiency with simulation tools such as MATLAB, COMSOL Multiphysics, or Python for modeling and analyzing battery performance is typically required. Strong problem-solving abilities, attention to detail, and effective remote communication skills help professionals collaborate and innovate in distributed teams. These competencies ensure accurate battery models, effective remote teamwork, and advancements in battery technology crucial for energy and automotive industries.

What is remote battery modeling?

Remote battery modeling involves using software and computational tools to simulate and analyze the performance, behavior, and lifespan of batteries from a remote location. This job typically requires expertise in electrochemistry, data analysis, and computer modeling. Professionals in this field help optimize battery design and performance for applications such as electric vehicles, renewable energy storage, and consumer electronics without needing to be physically present in a lab or manufacturing site. Remote battery modeling enables faster prototyping, reduced costs, and enhanced collaboration across global teams.
What are the most commonly searched types of Battery Modeling jobs in California? The most popular types of Battery Modeling jobs in California are:
What are popular job titles related to Remote Battery Modeling jobs in California? For Remote Battery Modeling jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Remote Battery Modeling jobs? Cities in California with the most Remote Battery Modeling job openings:

Senior ML Infrastructure Engineer - Embodied AI

General Motors

Sunnyvale, CA • On-site, Remote

$153K - $234K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 16 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,272 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt.We'returningtoday'simpossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of peopleas we aim to makedriving safer, smarter, and more connected, shaping the future of transportation on a global scale.

Role:

Are you passionate about accelerating the future of autonomous driving? Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.

As a Senior MLInfra Engineer, you willwork onthe core systems that enable rapid dataset generation, training,evaluationand iteration of our most advanced Autonomous Driving models.From enabling large foundational driving models to distilling multi-stage production deployed models, your goal will be to dramatically accelerate the machine learning development cycle from one modeling hypothesis to next.

You willdevelopmodel training pipelines that are performant, easy to use, and exceptionally reliable. Your success will be measured by the velocity and impact of the ML models that rely on the scalable, intuitive, and highperformance training platforms you help create.

What You'll Do:

  • Design, implement, and deploy scalable platforms and tools supporting machine learning training and evaluation workflows across GM.

  • Drive complex technical projects with strong ownership of implementation, code quality, and system reliability.

  • Contribute to technical design discussions and architectural decisions while collaborating with senior engineers and technical leads.

  • Work closely with partner teams to ensure platforms meet real-world ML development needs and maximize adoption.

  • Identify technical improvements and help prioritize platform investments to improve performance, reliability, and developer productivity.

  • Contribute to a strong engineering culture through high-quality code reviews, documentation, and operational excellence.

  • Support onboarding and mentoring of junior engineers and interns.

What You'll Bring:

  • 3+ years of experienceworking onlarge-scale distributed systems, applications, or ML infrastructure.

  • Experience designing robust services or frameworks with durable, well-designed APIs.

  • Solid understanding of machine learning workflows and hands-on experience applying ML systems in production environments.

  • Experience building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.

  • Practical experience across the ML development lifecycle, including model training, deployment, andMLOpspractices.

  • Strong cross-functional collaboration skills across teams and organizations.

  • Strong coding skills in Python or C++.

  • Interestin autonomous driving and large-scale ML systems.

  • BS, MS, or PhD in Computer Science, Mathematics, or equivalent practical experience.

Nice to Have:

  • Experience with distributed training methodologies.

  • Experience scaling ML training across large GPU/CPU clusters or specialized accelerators.

  • Familiarity with deep learning frameworks such asPyTorchor TensorFlow.

  • Experience with performance profiling and training optimization techniques and their impact on model convergence and performance.

  • Experience with advanced build systems such as Bazel, Buck, Blaze, orCMake.

  • Proficiencywith containerization and orchestration technologies (e.g., Docker, Kubernetes).

Remote/Hybrid:This role is categorized as fully remote or hybrid.

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.

  • The salary range for this role is $153,200.00 to $234,100.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentivepayprogram offers payouts based on company performance, job level, and individual performance.

Benefits:

  • Benefits: GM offers a variety of health and wellbeing benefit programs.Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuitionassistanceprograms, employeeassistanceprogram, GM vehicle discounts and more.

This job may be eligible forrelocationbenefits.
#GM-AV-1

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About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


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About General Motors

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General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908