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Tesla Supervisor Jobs in California (NOW HIRING)

Tesla

Lead Material Handler, Energy

Tracy, CA · On-site

$25/hr

Collaborate with supervisors and cross-functional teams to support continuous improvement initiatives in safety, quality, cost, and productivity What You'll Bring * Current Tesla Production Control ...

BillionToOne

General Supervisor, Prenatal

Union City, CA · On-site

$263K/yr

We are looking for a driven General Supervisor (with California Clinical Laboratory Scientist ... Free on-site EV charging (compatible with all EVs, including Tesla) At BillionToOne, we are proud ...

Yutori

Founding Account Executive

San Francisco, CA · On-site

... Tesla Autopilot, Palantir, Apple, Humane, etc. We've trained Navigator - the world's best computer ... Navigator is trained using supervised fine-tuning and reinforcement learning across synthetic and ...

Compass Group

JANITOR

Fremont, CA · On-site

$18.50/hr

Tesla - 45500 Fremont Boulevard, Fremont, CA 94538 Note: online applications accepted only ... Completes all tasks assigned by supervisor. * Performs tasks in accordance with all federal, state ...

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Tesla Supervisor information

What does a Tesla Supervisor do?

A Tesla Supervisor is responsible for leading a team to ensure efficient operations in production, service, or retail environments. They oversee daily workflows, enforce company policies, and drive performance to meet key metrics. Additionally, they provide coaching, resolve operational challenges, and collaborate with management to improve processes. Strong leadership, problem-solving, and technical knowledge are essential for success in this role.

What are typical career advancement opportunities for a Tesla Supervisor?

Tesla Supervisors have a strong foundation for career growth within the company, often advancing to higher management roles such as Operations Manager, Production Manager, or Plant Manager. Gaining experience in cross-functional projects, demonstrating strong leadership, and achieving key performance goals are common paths to promotion. Supervisors are encouraged to take advantage of Tesla's professional development programs and internal job postings to further their careers. Advancement is supported by Tesla’s focus on innovation, which values internal talent and leadership growth. This creates a dynamic work environment where ambitious supervisors can take on greater responsibility over time.

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

To thrive as a Tesla Supervisor, you need strong leadership abilities, experience in manufacturing or automotive environments, and a solid understanding of production processes. Familiarity with enterprise resource planning (ERP) systems, Lean manufacturing principles, and safety certifications like OSHA are highly valued. Exceptional communication, problem-solving, and team motivation skills help foster a positive and productive work environment. These capabilities are vital for effectively managing teams, ensuring operational efficiency, and maintaining Tesla’s high standards for safety and quality.

What are popular job titles related to Tesla Supervisor jobs in California?

For Tesla Supervisor jobs in California, the most frequently searched job titles are:

What job categories do people searching Tesla Supervisor jobs in California look for?

The top searched job categories for Tesla Supervisor jobs in California are:

What cities in California are hiring for Tesla Supervisor jobs?

Cities in California with the most Tesla Supervisor job openings:

Tesla Supervisor jobs near you
Infographic showing various Tesla Supervisor job openings in California as of August 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 94% In-person, and 6% Remote job distribution.

Machine Learning Engineer, Supply Chain Systems

Tesla

Fremont, CA • On-site

Full-time

Re-posted 2 days ago

Tesla rating

8.5

Company rating: 8.5 out of 10

Based on 689 frontline employees who took The Breakroom Quiz

1st of 45 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 processes, including forecasting and optimization algorithms.
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)
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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