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Tesla Energy Operations Jobs (NOW HIRING)

Velaz Solar & Roofing

Sales Operations Manager

Newark, NJ · On-site

$100K - $150K/yr

... improving energy efficiency and home value. Our team is built on integrity, performance, and ... Live the thrill of a Formula 1 race, a Rolex watch, and a Tesla Experience - Drive a Tesla as one ...

Velaz Solar & Roofing

Sales Operations Manager

Newark, NJ · On-site

$100K - $150K/yr

... improving energy efficiency and home value. Our team is built on integrity, performance, and ... Live the thrill of a Formula 1 race, a Rolex watch, and a Tesla Experience - Drive a Tesla as one ...

ThyssenKrupp

Sales

Richburg, SC · On-site

Identify, develop, and grow key accounts across Tesla Automotive, Energy, and Solar product lines ... Collaborate with Inside Sales, Credit, Quality, and Operations to ensure seamless customer ...

xAI

Technical Program Manager (Energy Storage)

Memphis, TN · On-site

$125K - $162K/yr

You will enable reliable execution across engineering, construction, commissioning, operations, and ... Tesla Megapacks. PREFERRED SKILLS AND EXPERIENCE: * Direct experience with energy storage systems ...

New

xAI

Technical Program Manager (Energy Storage)

Memphis, TN

$125K - $162K/yr

You will enable reliable execution across engineering, construction, commissioning, operations, and ... Tesla Megapacks. PREFERRED SKILLS AND EXPERIENCE: * Direct experience with energy storage systems ...

New

xAI

Technical Program Manager (Energy Storage)

Southaven, MS

$121K - $157K/yr

You will enable reliable execution across engineering, construction, commissioning, operations, and ... Tesla Megapacks. PREFERRED SKILLS AND EXPERIENCE: * Direct experience with energy storage systems ...

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How much do tesla energy operations jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for tesla energy operations in the United States is $24.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $27.64 per hour, depending on experience, location, and employer.

What are some typical challenges faced by professionals working in Tesla Energy Operations, and how can they be addressed?

Professionals in Tesla Energy Operations often encounter challenges related to rapidly evolving technology, complex project coordination, and the need for cross-functional collaboration. Adapting to the fast pace of innovation at Tesla requires staying continuously updated on new systems and processes. Effective communication and problem-solving skills are essential, as team members regularly coordinate with engineering, installation, and customer support teams to deliver high-quality energy solutions. Proactively seeking training opportunities and embracing a collaborative mindset can help overcome these challenges.

What is the difference between Tesla Energy Operations vs Tesla Energy Technician?

AspectTesla Energy OperationsTesla Energy Technician
Required CredentialsRelevant technical certifications, experience in energy systemsTechnical certifications, electrical or solar installation licenses
Work EnvironmentOffice settings, project management, coordination rolesFieldwork, installation, maintenance of energy systems
Employer & Industry UsageTesla's energy division, renewable energy projectsTesla's solar and energy storage systems, field service

Tesla Energy Operations roles focus on project coordination, planning, and overseeing energy projects, often involving office-based work. In contrast, Tesla Energy Technicians are hands-on workers responsible for installing, maintaining, and repairing Tesla's energy products. Both roles require technical certifications but differ in work environment and daily responsibilities.

What are Tesla Energy Operations?

Tesla Energy Operations is a division of Tesla, Inc. that focuses on the production, installation, and management of energy products such as solar panels, solar roofs, and energy storage solutions like the Powerwall and Powerpack. The team works to create and maintain sustainable energy systems for both residential and commercial customers. Their operations include designing, installing, monitoring, and servicing these energy products to help customers generate and store renewable energy, ultimately reducing reliance on traditional electric grids.

What are the key skills and qualifications needed to thrive as a Tesla Energy Operations Specialist, and why are they important?

To thrive as a Tesla Energy Operations Specialist, you generally need a solid understanding of electrical systems, renewable energy technology, and relevant industry experience, often supported by a technical degree or certification. Familiarity with tools like energy management software, SCADA systems, and safety protocols is crucial. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this role. These competencies ensure safe, efficient, and seamless energy system operations that align with Tesla's high-performance standards.
More about Tesla Energy Operations jobs
What states have the most Tesla Energy Operations jobs? States with the most job openings for Tesla Energy Operations jobs include:
What job categories do people searching Tesla Energy Operations jobs look for? The top searched job categories for Tesla Energy Operations jobs are:
Tesla Energy Operations jobs near you
Infographic showing various Tesla Energy Operations job openings in the United States as of July 2026, with employment types broken down into 94% Full Time, and 6% Temporary. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $50,239 per year, or $24.2 per hour.
Machine Learning Engineer, Supply Chain Systems

Machine Learning Engineer, Supply Chain Systems

Tesla

Fremont, CA • On-site

Full-time

Posted 5 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 669 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. The role involves designing, developing, and deploying machine learning models to enhance supply chain operations and ensure effective decision-making.
Responsibilities:
• Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
• Perform model validation and performance monitoring to ensure models maintain high accuracy
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code
Qualifications:
Required:
• Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures
• Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference
• Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs
• Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)
• Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
• Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
• Perform model validation and performance monitoring to ensure models maintain high accuracy
• Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
• Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
• Translate ambiguous problem statements into actionable, end-to-end machine learning models
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code
Company:
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions. Founded in 2003, the company is headquartered in Austin, USA, with a team of 10001+ employees. The company is currently Late Stage.

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