The point where experts and best companies meet
Quality Engineer Stationary Battery Assembly Megapack jobs at Tesla
Advance your career in high tech with Expoint. Discover job opportunities as a Quality Engineer Stationary Battery Assembly Megapack and join top companies in the industry such as Tesla. Sign up today and take control of your future.
Company (1)
Job type
Job categories
Job title (1)
United States
State
City
1,097 jobs found
13.05.2025
T
Tesla Software Engineer ML Performance Dojo United States, California, Palo Alto
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
13.05.2025
T
Tesla AI Research Engineer Model Scaling Self-Driving United States, California, Palo Alto
Share
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
Expand
12.05.2025
T
Tesla Supplier Industrialization Engineer Chemicals Coatings United States, California, Fremont
Share
Description:
What You’ll Do What You’ll Bring
- Plan, organize, direct and conduct industrialization related activities within the supply chain team
- Develop, Manage, Audit, Improve and Correct supplier planning and execution of component manufacturing and assembly techniques and quality control processes from the advanced development phase to mass production qualification
- Provide leadership for New Product Introduction (NPI) at Suppliers and lead supplier improvements in scalability, cost, and quality
- Facilitate communication and clarification of technical requirements between Suppliers and Tesla Purchasing, Quality, and Design teams
- Accountable for supplier audits to ensure their ability to meet part performance, delivery, and reliability expectations
- Guide suppliers in developing exceptionally robust processes and procedures to promote efficient and seamless production of high quality products
- Validate supplier corrective actions involving design and/or process changes to ensure they are robust, sustainable, and implemented for similar potential concerns across manufacturing lines and/or suppliers
- Degree in Chemical, Electrical, Mechanical, Industrial, Manufacturing Engineering or equivalent experience
- 5+ years of assembly plant experience supporting polymer/adhesive development in Tier 1 or Tier 2 role or similar experience in a Supplier Quality, Quality Engineering, or Manufacturing Engineering role
- Ability to deep dive into issues analytically and in real world settings to solve issues on technical level and system level. Practical approach to problem solving
- Experience in Quality Systems a plus: PPAP/APQP processes and understanding design principles
- Possess demonstrable leadership abilities and can communicate and direct supplier activities at the management level
- Strong technical writing ability and an ability to explain complex issues in a concise manner Must be familiar with SPC and data analysis
- An average of 30 - 40% travel, possibly on short notice, both internationally and domestically
Expand
12.05.2025
T
Tesla Sr. Embedded Firmware Development Engineer United States, California, Palo Alto
Share
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
Expand
12.05.2025
T
Tesla Supplier Industrialization Engineer Plastic Injection Moldin... United States, California, Palo Alto
Share
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)
Expand
12.05.2025
T
Tesla Sr. Machine Learning Engineer Navigation Optimus United States, California, Palo Alto
Share
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
Expand
12.05.2025
T
Tesla Deep Learning Manipulation Engineer Optimus United States, California, Palo Alto
Share
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
Expand
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
Discover your dream career in the high tech industry with Expoint. Our platform offers a wide range of Quality Engineer Stationary Battery Assembly Megapack jobs opportunities, giving you access to the best companies in the field, like Tesla. With our easy-to-use search engine, you can quickly find the right job for you and connect with top companies. No more endless scrolling through countless job boards, with Expoint you can focus on finding your perfect match. Sign up today and follow your dreams in the high tech industry with Expoint.