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Tesla Ai Jobs (NOW HIRING)

Tesla

Staff Software Engineer, FinTech

Fremont, CA · On-site

... AI technologies or tools for automation in financial workflows is highly desirable Company : Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable ...

Tesla

Warranty & Policy Lead

Fremont, CA · On-site

$108K - $198K/yr

What to Expect Join Tesla's Service Operations team as a Warranty Waste & Policy Lead, where you ... You will innovate audit processes with AI integration, collaborate with service engineering, field ...

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How much do tesla ai jobs pay per year?

As of Aug 22, 2026, the average yearly pay for tesla ai in the United States is $108,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What is a Tesla AI?

A Tesla AI job involves working on artificial intelligence and machine learning technologies to advance Tesla's autonomous driving, robotics, and energy solutions. Employees in these roles develop and optimize neural networks, perception models, and AI-driven decision-making systems. Tesla AI engineers typically work on projects like the Full Self-Driving (FSD) software, Tesla Bot, and AI-powered manufacturing processes. These roles require expertise in deep learning, computer vision, reinforcement learning, and large-scale data processing.

What are the key skills and qualifications needed to thrive in the Tesla AI position?

To thrive as a Tesla AI professional, you need advanced expertise in machine learning, deep learning, computer vision, and data analysis, typically supported by a degree in computer science, engineering, or a related discipline. Familiarity with frameworks like TensorFlow or PyTorch, experience in large-scale neural network training, and proficiency with software development tools are commonly required. Strong problem-solving abilities, creativity, and effective communication skills are important for collaborating within multidisciplinary teams and innovating in fast-paced environments. These capabilities are crucial for developing autonomous systems and AI-driven solutions that power Tesla's products and set industry standards.

What is the typical team structure and work environment for Tesla AI roles?

Tesla AI professionals typically work within collaborative, cross-functional teams composed of experts in software engineering, robotics, data science, and hardware design. The environment is fast-paced and innovation-driven, with frequent opportunities to participate in brainstorming sessions, peer code reviews, and cutting-edge research initiatives. You may be expected to work closely with product managers and engineers from other departments to integrate AI solutions directly into Tesla's vehicles and services. This dynamic structure fosters rapid skill development and encourages employees to take ownership of projects, helping to accelerate both personal and professional growth.

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Tesla Ai jobs near you
Infographic showing various Tesla Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $108,329 per year, or $52.1 per hour.

Sr. Technical Program Manager, Energy Service AI Applications

Tesla

Palo Alto, CA • On-site

Full-time

Re-posted 14 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 685 frontline employees who took The Breakroom Quiz

1st of 45 rated automakers

Job description

Job Summary:
Tesla is seeking a highly motivated and experienced Technical Program/Product Manager to join their rapidly growing Energy sector. The role involves leading the planning and execution of complex AI product deliveries while ensuring effective collaboration among engineering teams and maintaining high product quality standards.
Responsibilities:
• Lead the planning, execution, and delivery of complex software development projects, from inception to launch.
• Facilitate communication and collaboration between firmware, software, service engineering, and applications engineering teams to ensure alignment and transparency throughout the program’s lifecycle.
• Leverage your software engineering or technical background to understand engineering challenges, contribute to technical discussions, and effectively communicate with engineering teams.
• Establish and enforce software development standards, code review processes, and release criteria across engineering teams to ensure consistent product quality, compliance with internal policies, and readiness for production deployment.
• Identify and implement process improvements to enhance project efficiency, quality, and predictability.
• Proactively identify and mitigate potential risks and roadblocks, escalating issues as needed and developing contingency plans.
• Define and track key performance indicators (KPIs) to measure project success and provide regular updates to stakeholders, including Directors and VPs on project status, risks, and dependencies.
Qualifications:
Required:
• Degree in Computer Science, Operations Research, Engineering, or equivalent experience
• 5+ years of experience in technical program management, preferably in a software development or technical program environment
• Solid understanding of software development methodologies and software development lifecycles; hands-on frontend or backend software engineering experience is a significant advantage
• Sound judgement in identifying appropriate use cases for AI solutions while recognizing technical limitations and constraints
• Excellent communication, interpersonal, and presentation skills, including the ability to be clear and concise
• Strong analytical and problem-solving skills, including knowledge of SQL and basic table structures
• Experience with project management tools (e.g., Jira, Microsoft ThinkCell)
• Familiarity with Github and ability to write 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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