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Diagnostics Engineer Driver Assistance Systems jobs at Tesla in United States, Palo Alto
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Palo Alto
434 jobs found
13.05.2025
T
Tesla Software Engineer ML Performance Dojo United States, California, Palo Alto
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Description:
What You’ll Do What You’ll Bring
- Understand and model the end-to-end training performance of the Autopilot SW team's Pytorch-derived neural networks on the Dojo system
- Develop software that scales and improves training performance based on your analysis of the bottlenecks
- Collaborate with the Dojo HW team to understand current HW architecture and propose future improvements
- Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
- Experience scaling neural network training systems or other large distributed systems
- Familiarity with the internals of PyTorch and/or JAX
- Performance analysis experience
- Experience coding parallel programs
- Able to work from Palo Alto office
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13.05.2025
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Tesla AI Research Engineer Model Scaling Self-Driving United States, California, Palo Alto
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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 Sr. Embedded Firmware Development Engineer United States, California, Palo Alto
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Description:
What You’ll Do What You’ll Bring
- Develop and automate test and verification/validation involving building test suite from scratch to continuous regression using Matlab/Python/C and C++
- Design, development, and analysis of system and software architectures for various sensing systems
- Writing, testing, and debugging embedded FW developed using C/C++ running on target devices
- Evaluate various existing and new sensor technologies for next generation sensor systems by bringing up prototype software and testing in lab
- Hands-on testing work such as testing of sensor systems in laboratory and in-car drives
- Writing software requirements, test cases, reviewing requirements and code, etc.
- Mentoring other team members and interns
- Collaborate with a broad range of cross-functional teams including mechanical, software, program management, and senior leadership
- Bachelor’s Degree in Computer or Electrical Engineering or related field or equivalent experience
- Minimum 5+ years of experience in embedded C/C++ coding skills for embedded system development
- Minimum 5+ years of experience in Python/Matlab for scripting and testing of embedded systems implementing DSP and ML algorithms, and data analysis
- Experience with using real time embedded OS such as FreeRTOS, as well as Linux
- Working knowledge of device drivers for microcontroller peripherals (SPI, I2C, UART, DMA, IRQ, USB, timers, ADCs, DACs, Flash, etc.)
- Experience with automotive CAN and CAN-FD interface
- Experience working with Docker, GIT, toolchains (GNU, IAR, etc.), bootloaders, linkers scripts
- Working knowledge of board bring-up, profiling, JTAG/SWD debugging, Dedi-prog, etc.
- Knowledge of basic DSP building blocks (FIR, IIR, FFT, etc.) preferred
- Ability to troubleshoot hardware using logic analyzers, oscilloscopes and spectrum analyzers
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12.05.2025
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Tesla Supplier Industrialization Engineer Plastic Injection Moldin... United States, California, Palo Alto
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Description:
What You’ll Do What You’ll Bring
- Contribute to Supplier’s quotation review by acting as the Plastic Injection Moulding expert, facilitating the interpretation of technical requirements between Parties
- Lead Supplier’s qualification assessment to ensure the ability to meet process performance, parts quality, and delivery expectation
- Coordinate design improvements in scalability, cost, and quality through Design-for-Manufacturability (DFMs) review
- Plan, organize, and conduct industrialization-related activities for Supplier’s process development, and component qualification readiness for new product introduction (NPI)
- Coordinate, track, and improve Supplier’s overall performance for a mass production flawless ramp-up execution
- Guide Suppliers on continues improvement methodology to encourage high-quality products
- Drive negotiation for piece price and product development to ensure that Tesla’s pricing meets best-landed-cost expectations as well as Supplier Industrialization standards of Best-In-Class quality
- Owner of RFQ's and contract management - ensure Non-Disclosure Agreements, General Terms & Conditions, Piece Price Agreements, and other related contracts are negotiated, agreed and appropriately documented before business is initiated
- Degree or relevant experience in Mechanical Engineering, Industrial Engineering or Electrical Engineering
- Proficient on Plastic Injection Moulding process variables, tooling, and resins
- Knowledge of Plastic Injection Moulding tool construction concepts (gate / runner designs / parting lines / die draw / draft angle / ejectors)
- Experience with Plastic Injection Moulding problem solving tools and techniques
- Familiar with tooling Moldflow design, parametrization, process and quality controls; tooling set up and validation of robotic cells
- Strong communication skill - good level spoken and written English
- Domestic and international travel (expected 50% of the time)
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12.05.2025
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Tesla Sr. Machine Learning Engineer Navigation Optimus United States, California, Palo Alto
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Description:
What You’ll Do What You’ll Bring
- 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
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12.05.2025
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Tesla Deep Learning Manipulation Engineer Optimus United States, California, Palo Alto
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Description:
What You’ll Do What You’ll Bring
- 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
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12.05.2025
T
Tesla Machine Learning Engineer Geometric Vision Self-Driving United States, California, Palo Alto
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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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Share
Description:
What You’ll Do What You’ll Bring
- Understand and model the end-to-end training performance of the Autopilot SW team's Pytorch-derived neural networks on the Dojo system
- Develop software that scales and improves training performance based on your analysis of the bottlenecks
- Collaborate with the Dojo HW team to understand current HW architecture and propose future improvements
- Degree in Engineering, Computer Science, or equivalent in experience and evidence of exceptional ability
- Experience scaling neural network training systems or other large distributed systems
- Familiarity with the internals of PyTorch and/or JAX
- Performance analysis experience
- Experience coding parallel programs
- Able to work from Palo Alto office
Expand
These jobs might be a good fit
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