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Tesla Renewable Energy Jobs (NOW HIRING)

Tesla

AI Engineer, Manipulation, Optimus

Palo Alto, CA · On-site

$122K - $151K/yr

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 ...

Tesla

Data Labeler Manager

Draper, UT · On-site

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 ...

Tesla

Data Labeler Manager

Dallas, TX · On-site

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 ...

Tesla

AV Systems Administrator

Buffalo, NY · On-site

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 ...

Tesla

Site Reliability Engineer, Diagnostics

Palo Alto, CA · On-site

$67 - $89.25/hr

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 ...

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Showing results 41-60

All JobsEnergy and Environment JobsTesla Renewable Energy Jobs

Tesla Renewable Energy information

See salary details

$40.5K

$58.1K

$118.5K

How much do tesla renewable energy jobs pay per year?

As of Aug 19, 2026, the average yearly pay for tesla renewable energy in the United States is $58,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $57,000.00 per year, depending on experience, location, and employer.

What do Tesla Renewable Energy jobs involve?

Tesla Renewable Energy jobs focus on developing, installing, and maintaining sustainable energy solutions, such as solar panels, solar roofs, and energy storage products like Powerwall and Powerpack. Employees may work in engineering, operations, sales, or customer support to help advance Tesla's mission to accelerate the world's transition to sustainable energy. These roles often require technical knowledge, problem-solving skills, and a passion for clean energy. Tesla Renewable Energy employees play a key part in expanding access to renewable power for homes, businesses, and utilities.

What are some common challenges faced by professionals working in Tesla Renewable Energy, and how can job seekers prepare for them?

Professionals in Tesla's Renewable Energy division often encounter challenges such as rapidly evolving technologies, tight project deadlines, and the need for cross-functional collaboration with engineering, operations, and sales teams. Staying current with industry advancements and being adaptable are key to success. Job seekers can prepare by deepening their technical knowledge, developing strong communication skills, and being ready to thrive in a fast-paced, innovation-driven environment. Demonstrating problem-solving abilities and a proactive approach to learning new tools or processes will help you stand out.

What are the key skills and qualifications needed to thrive in a Tesla Renewable Energy position, and why are they important?

To excel in a Tesla Renewable Energy role, you need a solid background in engineering, renewable energy systems, and project management, often supported by a degree in engineering or a related field. Familiarity with solar technologies, energy storage systems, and proficiency in industry-standard software like AutoCAD or PVsyst, as well as relevant certifications such as NABCEP, are commonly required. Strong problem-solving, teamwork, and communication skills help individuals effectively manage projects and collaborate across multidisciplinary teams. These competencies are crucial to delivering innovative, reliable, and sustainable energy solutions in a highly dynamic and technical environment.

What is the difference between Tesla Renewable Energy vs Tesla Solar Installer?

AspectTesla Renewable EnergyTesla Solar Installer
CertificationsRenewable energy certifications, electrical licensesElectrical licenses, solar installation certifications
Work EnvironmentDesign, project management, system planningOn-site solar panel installation, troubleshooting
Employer & Industry UsageTesla's renewable energy projects, utility-scale systemsResidential and commercial solar installations for Tesla

Tesla Renewable Energy focuses on designing and managing renewable energy projects, including solar and energy storage systems. Tesla Solar Installer primarily handles on-site installation and maintenance of solar panels. While both roles require electrical certifications and work within the renewable energy industry, Tesla Renewable Energy emphasizes project planning and system design, whereas Tesla Solar Installer concentrates on hands-on installation tasks.

More about Tesla Renewable Energy jobs

What job categories do people searching Tesla Renewable Energy jobs look for?

The top searched job categories for Tesla Renewable Energy jobs are:

Infographic showing various Tesla Renewable Energy job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $58,090 per year, or $27.9 per hour.

Software Engineer, Frontier AI Infrastructure

Tesla

Palo Alto, CA • On-site

$203K - $241K/yr

Full-time

Re-posted 3 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 682 frontline employees who took The Breakroom Quiz

1st of 44 rated automakers

Job description

Job Summary:
Tesla is looking for strong software engineers to help scale the next generation of large AI models for Autopilot, Optimus, and Digital Optimus. The role involves optimizing large-scale distributed training systems, improving training efficiency, and collaborating with ML practitioners to enhance model quality and performance.
Responsibilities:
• Optimize large-scale distributed training across thousands of GPUs
• Improve training throughput, utilization, reliability, and scalability
• Develop tooling to identify bottlenecks in compute, networking, memory, and data pipelines
• Design and implement performance optimizations across PyTorch, CUDA, communication libraries, and training frameworks
• Partner with researchers to evaluate how infrastructure changes impact model quality, convergence, and downstream metrics
• Analyze training runs and build dashboards that connect system performance to model outcomes
• Drive improvements in model scaling efficiency, including larger models, longer context lengths, and higher-quality datasets
• Debug complex issues across software, hardware, networking, and machine learning systems
• Build infrastructure that accelerates experimentation and shortens iteration cycles for researchers
Qualifications:
Required:
• Strong software engineering fundamentals in Python and C++
• Experience with distributed systems, high-performance computing, or large-scale infrastructure
• Understanding of machine learning fundamentals, including optimization, training dynamics, and evaluation
• Familiarity with PyTorch and modern deep learning frameworks
• Ability to analyze performance bottlenecks using profiling and observability tools
• Strong debugging and problem-solving skills
• Excellent communication and collaboration skills
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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