Overview

Pioneering AI and Robotics. Join Our Team: Pioneering AI and Robotics for the Future

Transforming Autonomy Across Industries

At [Your Company Name], we specialize in developing and deploying autonomy at scale in vehicles, robots, and various applications. Our mission is to harness the power of advanced artificial intelligence and robotics technology to create a comprehensive solution for full self-driving capabilities, bi-pedal robotics, and beyond. If you’re passionate about pushing the boundaries of technology, we invite you to explore our exciting opportunities.

Tesla Bot: Creating the Future of Autonomous Robotics

We are on a mission to design a general-purpose, bi-pedal, autonomous humanoid robot capable of performing hazardous, repetitive, or mundane tasks. To achieve this ambitious goal, we are building robust software stacks that empower balance, navigation, perception, and interaction with the physical environment. We are seeking skilled professionals in deep learning, computer vision, motion planning, and mechanical engineering to tackle some of our most challenging engineering problems.

Explore Career Opportunities with Us!

FSD Chip: Powering Full Self-Driving Technology

Join us in building AI inference chips that run our Full Self-Driving (FSD) software. As a part of our team, you will focus on optimizing architectural and micro-architectural improvements to maximize silicon performance-per-watt. Responsibilities include:

  • Conducting floor-planning, timing, and power analyses.
  • Writing comprehensive tests to verify functionality and performance.
  • Implementing drivers for chip programming and communication, with an emphasis on performance optimization and redundancy.

Help us validate our silicon chips and bring them to mass production in our vehicles!

Dojo Chip: Accelerating AI Training Capabilities/ Pioneering AI and Robotics

Join us in creating the next generation of AI training chips for our groundbreaking Dojo system. You will work on cutting-edge technology to maximize performance, throughput, and bandwidth. Key responsibilities include:

  • Designing and architecting chip layouts for optimal performance.
  • Developing pre-silicon verification and post-silicon validation methods.
  • Writing compilers and drivers to enhance power and performance for our neural networks.

For more insights, download our latest whitepaper on Dojo’s arithmetic formats and methods.

Dojo System: Building Advanced Machine Learning Infrastructure

Contribute to the design and construction of the Dojo system, from silicon firmware interfaces to high-level software APIs. Collaborate with teams across mechanical, thermal, and electrical engineering to create a revolutionary machine learning compute system for our data centers. Responsibilities include:

  • Designing control loops and monitoring software for high-power delivery and cooling.
  • Deploying training workloads using massive datasets from our fleet.
  • Creating a user-friendly public API to democratize access to Dojo technology.

Neural Networks: Cutting-Edge Research and Development

Apply the latest research to train deep neural networks addressing various challenges from perception to control. Our networks analyze raw images for tasks such as semantic segmentation, object detection, and monocular depth estimation. We leverage data from millions of vehicles to continuously improve our systems. A complete build of our Autopilot neural networks encompasses 48 networks requiring extensive GPU hours for training.

Autonomy Algorithms: Innovating Core Vehicle Systems

Join our team to develop the fundamental algorithms driving vehicle autonomy. Create a high-fidelity representation of the world and plan trajectories using state-of-the-art techniques. Responsibilities include:

  • Generating large-scale ground truth data by synthesizing information from vehicle sensors.
  • Building a robust planning and decision-making system that can navigate complex real-world scenarios.

Code Foundations: Optimizing Performance Across the Stack

Focus on optimizing throughput, latency, correctness, and determinism in our Autopilot software foundations. Key tasks involve:

  • Developing reliable bootloaders and custom Linux kernels.
  • Writing efficient low-level code for capturing high-frequency data from sensors.
  • Pipelining compute tasks across various processing units within multiple system-on-chips.

Evaluation Infrastructure: Enhancing Innovation and Performance

Contribute to building evaluation tools and infrastructure that scale our innovation efforts. Responsibilities include:

  • Leveraging anonymized clips from our fleet to create extensive test suites.
  • Writing simulations to replicate real-world environments for debugging and automated testing.

Ready to Shape the Future of AI and Robotics?

Join [Your Company Name] today to be at the forefront of AI innovation. Check out our current openings and become part of a team that’s shaping the future!