דרושים Supply Chain Manager Ai Electronics Optimus ב-Tesla ב-United States, Palo Alto

• 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

• Train machine learning and deep learning models on a computing cluster for visual recognition & perception tasks, such as segmentation and detection and world representation applications
• Develop state-of-the-art algorithms in one or all of the following areas: deep learning (convolutional neural networks), object detection/classification, tracking, multi-task learning, large-scale distributed training, multi-sensor fusion, dense depth estimation, LLMs, etc.
• Optimize deep neural networks and the associated preprocessing/postprocessing code to run efficiently on an embedded device

• Experience writing both production-level Python (including Numpy and Pytorch) and modern C++
• Experience in deep imitation learning or reinforcement learning in realistic applications
• Exposure to robotics learning through tactile and/or vision-based sensors
• Proven track record of training and deploying real world neural networks
• Familiarity with 3D computer vision and/or graphics pipelines
• Experience with distributed deep learning systems

• Design and develop our learned robotic manipulation software stack and algorithms
• Develop robotic manipulation capabilities including but not limited to (re)grasping, pick-and-place, and more dexterous behaviors to enable useful work in both structured and unstructured environments
• Model robotic manipulation processes to enable analysis, simulation, planning, and controls
• Reason about uncertainty due to measurements and physical interaction with the environment, and develop algorithms that adapt well to imperfect information
• Assist with overall software architecture design, including designing interfaces between subsystems
• Ship production quality, safety-critical software
• Collaborate with a team of exceptional individuals laser focused on bringing useful bi-ped humanoid robots into the real world

• Production quality modern C++ or Python
• Experience in deep imitation learning or reinforcement learning in realistic applications
• Exposure to robotics learning through tactile and/or vision-based sensors.
• Experience writing both production-level Python (including Numpy and Pytorch) and modern C++
• Proven track record of training and deploying real world neural networks
• Familiarity with 3D computer vision and/or graphics pipelines
• Experience with Natural Language Processing
• Experience with distributed deep learning systems
• Prior work in Robotics, State estimation, Visual Odometry, SLAM, Structure from Motion, 3D Reconstruction

Tesla AI’s Teleoperation team is charged with providing remote access to our robotaxis and humanoid robots. Our cars and robots operate autonomously in challenging environments. As we iterate on the AI that powers them, we need the ability to access and control them remotely. This requires building highly optimized low latency reliable data streaming over unreliable transports in the real world. At Tesla, we control the entire hardware and software stack, end to end. Our goal is to integrate our hardware, firmware and backend expertise to achieve a cutting-edge system. Our remote operators are transported into the device’s world using a state-of-the-art VR rig that allows them to remotely perform complex and intricate tasks. Working with hardware teams, you will drive requirements, make design decisions and implement software integration for this custom teleoperation system.

• Responsible for developing the Unreal application that our Remote Operators use to interface with our cars and robots
• Influence architectural and UX decisions with a focus on usability, security, reliability, and high performance
• Choose technologies that will allow us to scale with our growing fleet of cars and robots while efficiently utilizing cloud infrastructure and managing costs
• Setup and maintain monitoring, metrics & reporting systems for fine-grained observability and actionable alerting

• Practical experience using application layer languages like C++ and Python
• Expertise with 3D graphics and game engines – specifically Unreal
• Experience with both Windows and Linux environments: networking, wireless (WiFi and Bluetooth), filesystems and storage
• Familiarity with writing and maintaining custom shaders
• Familiarity with build systems like MSVC and bazel

• Develop end-to-end robotic learning with either reinforcement or imitation learning
• Reinforcing correct set of actions, rewarding correct behavior and negating incorrect behavior (with real-time action/reward feedback loops)
• Perform a large number of instructions and generalize new tasks with different objects and environments
• Learn to perform dexterous tasks using high degree of freedom hands
• Learn different robot policies to solve language-conditioned tasks from vision
• Ship production quality, safety-critical software

• Experience in end-to-end robotic learning, with either imitation or reinforcement learning
• Experience writing production-level Python (including Numpy and Pytorch)
• Experience with distributed deep learning systems
• Exposure to robot learning through tactile and/or vision-based sensors is a plus
• Proven track record of training and deploying real world neural networks

• Be responsible for overall functional and performance readiness of the sensing system and its features at any point in the product life cycle
• Distill sensor product requirements into constraints and actionable engineering systems design discussions
  
• Host cross-functional sensor design discussions with electrical, software, manufacturing, Translate sensor design discussions into design documents in the form of system block diagrams, functional requirements, and performance requirements
• Define and debug hardware and software interactions during design, launch, and deployment
• Support early sensor prototype development to de-risk new technologies
• Define an integration test plan for sensing hardware products or software features with integration milestones that focus on de-risking product or feature deployment and align with the program timeline
• Execute initial sensor bring-up and integration testing at the vehicle level to validate system design assumptions
• Perform change impact analysis for change requests by summarizing impacted devices, interfaces, and processes in the hardware and software domain
• Ensure sensing system is characterized across a host of environments
• Support system validation teams in developing electrical and software test plans
• Serve as the owner of a given sensing system and central point-of-contact for any issues during development or deployment
• Understand and highlight impacts of electrical, software, or process changes
• Manage priorities and support a host of projects simultaneously

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Systems Engineering, experience and evidence of exceptional ability, or equivalent
• 5-7+ years of experience in systems design, systems architecture, systems integration, or related field
• Strong electrical and embedded systems fundamentals
• Hands-on technical experience debugging complex subsystems involving network microprocessors and software-controlled electrical or electromechanical devices
• Strong written and verbal communication skills
• Comfortable analyzing data as well as developing analytical tools
• Experience in MATLAB, Python, C/C++ or equivalent tools for modeling and analysis
• Proficient in data visualization and statistical analysis
• Understanding of hardware and software development process
• Experience with sensor design & characterization(GNSS, IMU, etc.)
• Experience with CAN tools such as Vector CANape
• Experience with version control tools such as Git, SVN or equivalents
• Experience in failure analysis, HARAs, and fault trees
• Familiarity with JIRA or similar task/feature tracking systems
• Experience with high volume manufacturing
• Experience with embedded systems

• 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