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Construction Project Manager Self Perform Megafactory jobs at Tesla
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414 jobs found
13.05.2025
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Tesla AI Research Engineer Model Scaling Self-Driving United States, California, Palo Alto
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Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world....
Description:
What You’ll Do What You’ll Bring
- Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world
- Develop and implement novel architectures and algorithms to effectively scale large End-to-End (E2E) self-driving models
- Create and maintain infrastructure for efficient, large-scale distributed training of E2E models, resolving compute and memory bottlenecks for training and inference
- Evaluate and enhance model performance, with a focus on increasing miles driven without human intervention
- Work closely with cross-functional teams to deploy AI models in production, ensuring they meet stringent performance and reliability standards
- Contribute to the development of tools and frameworks that improve the scalability and efficiency of model training and deployment processes
- Proven experience in scaling and optimizing large AI models, with a strong understanding of infrastructure challenges and solutions
- Proficiency in Python and a deep understanding of software engineering best practices
- In-depth knowledge of deep learning fundamentals, including optimization techniques, loss functions, and neural network architectures
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Strong expertise in distributed computing and parallel processing techniques
- Demonstrated ability to work collaboratively in a cross-functional team environment
- Strong problem-solving skills and the ability to troubleshoot complex system-level issues
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12.05.2025
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Tesla Collision Manager United States, California, Irvine
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Work closely with Regional Collision Manager to oversee all daily operations of the Collision Center to ensure delivery of excellent results consistently on all aspects of the business. Manage resource...
Description:
What You’ll Do What You’ll Bring
- Work closely with Regional Collision Manager to oversee all daily operations of the Collision Center to ensure delivery of excellent results consistently on all aspects of the business
- Manage resource scheduling and allocation, implement and adherence of work standard quality, and understand and own every aspect of the team’s performance
- You will be responsible for driving continuous improvements to facilitate exceptional team output and customer service. We expect you to champion safety, efficiency, quality, and overall excellence in all your actions and decisions
- Forecast and surpass goals and objectives for the site through regular audits of shop operations
- Take ownership and create a culture of accountability, always maintaining the integrity of the Tesla brand, its processes, procedures, and values
- Provide regular coaching and feedback and have a deep knowledge of your team’s strengths and opportunities. You will be responsible for leading change and inspiring your team every day
- Perform other related duties as assigned by Regional Collision Manager
- 5-8 years of management experience in the collision industry or relevant roles in manufacturing, automotive, or customer service, in addition to 3-5 years vendor management expertise
- Bachelor’s Degree, relevant Certificate from a Vocational School in Collision Repair, or equivalent experience
- Experience in effectively leading diverse field, technical repair, or manufacturing teams in a technology-driven environment
- Read and comprehend automotive repair procedures, with in-depth knowledge of methods, techniques, parts, tools, and materials used in collision repair; ability to run processes using Six Sigma or Toyota Lean
- Possess excellent written and verbal communication skills and the ability to influence teams to achieve business targets
- Follow instructions meticulously, showcasing attention to detail in tasks and responsibilities; capable of self-management in limited supervision environments
- Valid driver’s license preferred
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12.05.2025
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Tesla Collision Manager United States, California, Santa Monica
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Work closely with Regional Collision Manager to oversee all daily operations of the Collision Center to ensure delivery of excellent results consistently on all aspects of the business. Manage resource...
Description:
What You’ll Do What You’ll Bring
- Work closely with Regional Collision Manager to oversee all daily operations of the Collision Center to ensure delivery of excellent results consistently on all aspects of the business
- Manage resource scheduling and allocation, implement and adherence of work standard quality, and understand and own every aspect of the team’s performance
- You will be responsible for driving continuous improvements to facilitate exceptional team output and customer service. We expect you to champion safety, efficiency, quality, and overall excellence in all your actions and decisions
- Forecast and surpass goals and objectives for the site through regular audits of shop operations
- Take ownership and create a culture of accountability, always maintaining the integrity of the Tesla brand, its processes, procedures, and values
- Provide regular coaching and feedback and have a deep knowledge of your team’s strengths and opportunities. You will be responsible for leading change and inspiring your team every day
- Perform other related duties as assigned by Regional Collision Manager
- 5-8 years of management experience in the collision industry or relevant roles in manufacturing, automotive, or customer service, in addition to 3-5 years vendor management expertise
- Bachelor’s Degree, relevant Certificate from a Vocational School in Collision Repair, or equivalent experience
- Experience in effectively leading diverse field, technical repair, or manufacturing teams in a technology-driven environment
- Read and comprehend automotive repair procedures, with in-depth knowledge of methods, techniques, parts, tools, and materials used in collision repair; ability to run processes using Six Sigma or Toyota Lean
- Possess excellent written and verbal communication skills and the ability to influence teams to achieve business targets
- Follow instructions meticulously, showcasing attention to detail in tasks and responsibilities; capable of self-management in limited supervision environments
- Valid driver's license preferred
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12.05.2025
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Tesla Machine Learning Engineer Geometric Vision Self-Driving United States, California, Palo Alto
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Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques. Leverage vast amounts of fleet data for algorithm development and validation. Design and...
Description:
What You’ll Do What You’ll Bring
- Develop and refine models for estimating geometric entities using both modern neural network-based and classical vision techniques
- Leverage vast amounts of fleet data for algorithm development and validation
- Design and develop automated data generation pipelines that create various high quality ground truth data for real-world perception problems
- Deploy and scale your work across millions of autonomous vehicles worldwide
- Collaborate closely with a high-caliber team dedicated to realizing full autonomy
- Proven ability to rapidly prototype and optimize algorithms
- Proficiency in writing production-quality code in Python
- Proficiency in c++ is highly desirable
- Solid understanding of linear algebra, geometry, probabilistic theory, numerical optimization, and deep learning, with hands-on implementation experience
- Expertise in key areas of computer vision and robotics, such as structure-from-motion, Visual-Inertial SLAM, large-scale mapping and localization, dense 3D modeling, or neural rendering (e.g., NeRF, Gaussian Splatting)
- Practical experience with PyTorch
- Familiarity with deploying neural network models is an advantage
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12.05.2025
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Tesla Project Controls Coordinator United States, Texas, Austin
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Project Execution Support: Coordinate E&I project scopes including procurement, field planning, scheduling, and contractor support. Material Management: Generate purchase requisitions, track deliveries, and coordinate with vendors to ensure material availability,...
Description:
What You’ll Do What You’ll Bring
- Project Execution Support: Coordinate E&I project scopes including procurement, field planning, scheduling, and contractor support
- Material Management: Generate purchase requisitions, track deliveries, and coordinate with vendors to ensure material availability, accuracy, and timely delivery
- Instrumentation & Electrical Oversight: Support the installation of instrumentation and electrical systems, ensuring compliance with standards and specifications
- Work Request Management: Create, enter, and maintain work requests for the TISP team, ensuring task accountability and visibility across stakeholders
- Tool & Equipment Coordination: Manage aerial lift rentals and ensure availability of necessary tools and equipment to support field activities
- Schedule & Workflow Tracking: Maintain project timelines, coordinate work activities across teams, and track progress using tools like JIRA and Confluence
- Financial Tracking: Monitor and document scope-level budgets, spending, and cost-saving initiatives. Present budget updates and savings in a clear, high-level format suitable for executive review
- 6+ years of experience in project coordination, construction, or industrial environments, ideally with exposure to electrical and instrumentation work
- Solid understanding of electrical systems, controls, instrumentation, and proper installation methods
- Ability to read and interpret P&IDs, one-lines, wiring diagrams, and construction drawings
- Working knowledge of the NEC and its application to industrial projects
- Proficiency in tools like JIRA, Excel, SharePoint, and Confluence for tracking, reporting, and communication
- Experience writing purchase requisitions and managing vendor communications
- Familiarity with field equipment logistics, including rental coordination (e.g., aerial lifts, boom lifts)
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11.05.2025
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Tesla Supply Chain Manager Drive Unit United States, California, Palo Alto
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Owner of RFQ's - ensuring all commercial terms are agreed and documented. Ensures Non-Disclosure Agreements, General Terms & Conditions, Piece Price Agreements, and other related contracts are negotiated and appropriately...
Description:
What You’ll Do What You’ll Bring
- Owner of RFQ's - ensuring all commercial terms are agreed and documented. Ensures Non-Disclosure Agreements, General Terms & Conditions, Piece Price Agreements, and other related contracts are negotiated and appropriately before business is initiated
- Drive piece price and tooling negotiation process to ensure that Tesla’s commodity pricing met Best-In-Class expectations, while meeting Supplier Industrialization standards of Best-In-Class quality, in addition to driving continual cost reduction and avoidance initiatives through ad-hoc price negotiations
- Address all areas of category management including category business plans, market conditions, technology roadmaps, cost modeling, and sourcing strategies; Monitor global industry trends, track technology roadmaps, and actively partner with the Design teams to identify/mitigate supply and demand challenges
- Manage respective supplier relationships and performance, including but not limited to dispute resolution, supplier scorecards, and periodic business reviews; Participate in design reviews, change control meetings, and other technical discussions with Engineering partners; participate in Design for Manufacturability reviews with Engineering partners and prospective suppliers, and drive decisions from a cost perspective
- Ability to understand technical drawings and specifications as well as basic knowledge of manufacturing process controls and quality assurance for their commodity space, comfortable communicating with technical stakeholders both internally and externally
- Lead cross-functional teams to manage project timelines including developing and maintaining action trackers, Gantt charts, and other program management tools related to on-time delivery of supplier parts against Program timing
- Communicate key supply, cost, and/or quality issues with management teams; Develop corrective action plans to mitigate identified risks
- Bachelor's Degree in Electrical, Mechanical, Industrial, Manufacturing Engineering or evidence of experience and exceptional ability
- 1-5+ years of experience in supply chain management, or commodity management
- Technical & commercial understanding of tooling and manufacturing processes
- Experience with mechanical engineering concepts related to the commodity and ability to generate bottom-up should costs based on the understanding of manufacturing process
- Proficient knowledge of technical requirements & design of the product and be able to influence cross functional partners with detailed analysis that supports optimized pricing and product sourcing decisions
- Excellent negotiator; Experience with mechanical and/or electrical engineering concepts related to the commodity and ability to generate bottom-up should costs based on the understanding of manufacturing process
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11.05.2025
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Tesla Machine Learning Engineer Motion Planning Self-Driving United States, California, Palo Alto
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Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system. Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement...
Description:
What You’ll Do What You’ll Bring
- Leverage millions of miles of driving data and interventions to build a robust and scalable end-to-end learning based self-driving system
- Use cutting-edge techniques from generative modeling, imitation learning, and reinforcement learning to improve the planning and reasoning capabilities of our driving models
- Experiment with data generation and fleet data collection approaches to enhance the diversity and quality of training data
- Integrate directly with vehicle firmware and ship production quality, safety-critical software to the entirety of Tesla's vehicle fleet
- Strong experience with Python, any major deep learning framework, and software engineering best practices
- An "under the hood" knowledge of deep learning modern architectures, optimization, model alignment, etc.
- Proven expertise in deploying production ML models for self-driving, robotics, or natural language processing at scale
- Comfort with C++ to help integrate with vehicle firmware and take projects from ideas to shipped products
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Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world....
Description:
What You’ll Do What You’ll Bring
- Perform scaling law analyses on model size, data size, data mixture, training compute, and other critical parameters to optimize our AI models using the largest self-driving dataset in the world
- Develop and implement novel architectures and algorithms to effectively scale large End-to-End (E2E) self-driving models
- Create and maintain infrastructure for efficient, large-scale distributed training of E2E models, resolving compute and memory bottlenecks for training and inference
- Evaluate and enhance model performance, with a focus on increasing miles driven without human intervention
- Work closely with cross-functional teams to deploy AI models in production, ensuring they meet stringent performance and reliability standards
- Contribute to the development of tools and frameworks that improve the scalability and efficiency of model training and deployment processes
- Proven experience in scaling and optimizing large AI models, with a strong understanding of infrastructure challenges and solutions
- Proficiency in Python and a deep understanding of software engineering best practices
- In-depth knowledge of deep learning fundamentals, including optimization techniques, loss functions, and neural network architectures
- Experience with deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Strong expertise in distributed computing and parallel processing techniques
- Demonstrated ability to work collaboratively in a cross-functional team environment
- Strong problem-solving skills and the ability to troubleshoot complex system-level issues
Show more
These jobs might be a good fit
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