freehire launches on Product Hunt on 26 August. Follow the page and you'll hear the moment it opens.
The Data Scientist will work within a multidisciplinary team at Lawrence Livermore National Laboratory to develop and integrate advanced data analysis algorithms, machine learning models, and software solutions for national security projects. The role involves collaborating with researchers to apply data science techniques across the full project lifecycle in a hybrid work environment.
Designs and verifies custom silicon for autonomous vehicles, using UVM/SystemVerilog to validate hardware functionality and performance in a hybrid work environment.
Lead a team building embedded simulation infrastructure for autonomous vehicle software, using C++ and Linux to model vehicle/environment behavior and integrate with CI/CD pipelines.
Builds and maintains full-stack systems for autonomous vehicle mission planning, including cloud backends and data visualization tools to support ride-hailing and fleet management.
Builds and maintains full-stack web and mobile apps for managing autonomous vehicle fleets, using Angular, TypeScript, and backend services.
Designs and validates high-performance LiDAR systems for autonomous vehicles, using physics-based modeling and hands-on testing to ensure data quality and system safety.
Develops and deploys machine learning models for autonomous vehicle prediction and planning, using deep learning frameworks to improve navigation safety and efficiency.
Develops and optimizes machine learning systems for autonomous driving, focusing on runtime performance and efficiency across cloud and vehicle platforms using deep learning frameworks and compiler tools.
Develops ultra-realistic simulation environments for autonomous driving using machine learning, focusing on generative AI and foundation models to enhance the Waymo Driver's performance.
Designs and optimizes high-performance machine learning hardware and software for autonomous driving, focusing on ML accelerators and system architectures.
Develops machine learning models for autonomous vehicle perception, including sensor fusion and spatial-temporal representation learning, using large-scale real-world driving data.
Principal Software Engineer at Waymo builds and optimizes sensor-fusion foundation models for autonomous driving, using large-scale multi-modal data and deep learning toolkits.
Research Scientist designs and builds deep-learning models for autonomous-vehicle planning and prediction, turning real-world driving challenges into robust ML systems and publishing findings.
Maintains and improves the reliability of Waymo’s autonomous ride-hailing systems and supporting infrastructure, using software engineering to ensure high availability and performance of fleet services.
Senior Android engineer building internal tools for Waymo’s ride-hailing and fleet management, integrating mobile apps with cloud backends and autonomous-driving systems.
Senior backend engineer building and scaling systems to manage Waymo's autonomous vehicle fleet, including configuration, parts transactions, and infrastructure using C++ and scalable software.
Senior Machine Learning Engineer at Waymo to transition perception tasks from algorithms to ML, optimize sensor data pipelines, and integrate systems for autonomous driving using C++, Python, and computer vision.
Senior ML Engineer builds and optimizes high-performance inference engines for autonomous vehicle ML models, balancing real-time onboard constraints with offboard data center demands using frameworks like JAX, XLA, and CUDA.
Designs and deploys machine learning models to evaluate and improve the behavior of Waymo’s autonomous vehicles in both real-world and simulated environments.
Senior Software Engineer builds and maintains Waymo’s machine learning data infrastructure to power autonomous driving models, using C++ and distributed systems at exabyte scale.
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