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Supply Chain Manager Self-driving Infotainment Hardware jobs at Tesla in United States, Palo Alto
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Palo Alto
114 jobs found
13.05.2025
T
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 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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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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23.04.2025
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Tesla Engineering Technician Hardware Validation Testing Optimus United States, California, Palo Alto
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Build test fixtures and conduct component and system level tests. Compile, organize, and archive test results. Document and report issues identified during tests or inspections. Prepare and maintain test parts,...
Description:
What You’ll Do What You’ll Bring
- Build test fixtures and conduct component and system level tests
- Compile, organize, and archive test results
- Document and report issues identified during tests or inspections
- Prepare and maintain test parts, devices and equipment
- Collaborate with engineers to analysis issues discovered
- Provide written and verbal test status updates to key stakeholders through Jira
- Support engineering teams in instrumentation and data acquisition
- Comply with safety policies and regulations
- 2+ years of experience with mechanical, electrical, or material testing
- Ability to operate safely a wide variety of hand and power tools, shop tools, and lab equipment
- Hands-on experience with test setup and execution
- Experience and knowledge of collecting data and reporting data in a data collection software such as MS Excel is a must
- Excellent teamwork/interpersonal skills with a willingness to gain and share new knowledge and the ability to communicate effectively
- Familiarity with environmental stress testing or automated test systems is a plus
- Positive attitude, eager to learn and ability to change direction quickly
- Remain engaged, proactive and positive in tough circumstances
- Own assignments and take full accountability for their success
- High awareness of safety procedures and practices
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23.04.2025
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Tesla Sr. Technical Program Manager Vehicle Software Compliance United States, California, Palo Alto
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Liaison with global regulators, actively map the vehicle software regulatory space. Own compliance initiatives end-to-end by working with cross function teams – Software Engineering, Policy, Compliance, Manufacturing, etc. Lead products...
Description:
What to Expect What You’ll Bring
Tesla Vehicle Software Compliance works side by side with cross functional software engineering teams to distill ambiguous regulatory requirements and implement actionable and scalable product and process requirements. We are looking for highly motivated candidates interested in working at the crossroads of software development and compliance, leading regulatory compliance strategy for all of Tesla’s vehicle software. Vehicle Software Compliance is an evolving sector, and crucial to the business. As part of this team, you will be responsible for influencing early-stage regulations by helping regulators understand new technologies and working with the broader vehicle software engineering organization to drive organization wide strategies to ensure compliance with regulatory requirements.
What You’ll Do - Liaison with global regulators, actively map the vehicle software regulatory space
- Own compliance initiatives end-to-end by working with cross function teams – Software Engineering, Policy, Compliance, Manufacturing, etc.
- Lead products through successful regulatory certifications
- Distill ambiguous regulatory requirements into actionable, scalable, product and process requirements for Tesla’s vehicle products
- Help various cross-functional teams understand how regulatory requirements apply to their vehicle systems
- Support development teams in developing component and system level product requirements to meet regulatory requirements
- Support validation teams in developing component and system level testing strategies to meet regulatory requirements
- Degree in Electrical Engineering, Computer Engineering, Systems Engineering, or the equivalent in experience or evidence of exceptional ability
- Experience working with product teams to build and deliver end-to-end customer focused products
- Understanding of hardware and software development processes
- Demonstrated experience of leading products through regulatory certifications
- Experience in managing and executing large scale technical programs and high-quality product delivery
- Strong investigative and analytical problem-solving skills
- Strong written and verbal communication skills
- Strong leadership skills, and ability to work with agility in a fast-paced environment
- Prior experience in DFMEA, HARAs, TARAs is a plus
- Prior knowledge or demonstrated experience with automotive standards is a plus – ISO 21434, ISO 26262
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23.04.2025
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Tesla Sr. Product Manager Virtual Power Plants Interoperability United States, California, Palo Alto
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Shepard the Plan: Define the vision, strategy and roadmap for Tesla residential products as it relates to Virtual Power Plants and Interoperability, ensure the business goals and technical roadmaps are...
Description:
What You’ll Do What You’ll Bring
Shepard the Plan: Define the vision, strategy and roadmap for Tesla residential products as it relates to Virtual Power Plants and Interoperability, ensure the business goals and technical roadmaps are consistent
Own Experience Metrics: Be responsible for key VPP metrics such growth, churn, customer/aggregator experience and value generation. For interoperability; success looks like reducing unique standards and requirements, while maintaining broad market access
Drive Cross Functional Alignment: Be a integral part of the software engineering process by gathering and clarifying requirements, ensuring all teams are driving to the same outcome
Land the Launch: Ensure that the impact of software changes is being realized by all stakeholders by delivering training, measuring, gathering feedback, and providing visibility for engineering teams
Technical understanding of energy products such Inverters, Battery Storage and Vehicle Charging
Familiarity with Energy markets (wholesale and/or ancilliary services)
Exposure to policy work around compliance and standards development
Degree in an engineering or technical discipline, or equivalent experience
A familiarity with APIs, data products and analytics, Python, SQL or similar
Be able to demonstrate a ‘customer first’ mentality and empathy with owners and installers
Strong communication, presentation, and organizational skills
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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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