Warp jobs

SDE - Robotics and Physics Simulation, Frontier AI Robotics San Francisco, California, USA In this role, you will act as the primary specialist for physics engine internals and dynamics, developing high-fidelity, vectorized simulation environments for robotics locomotion, navigation, and interaction/manipulation. You will collaborate with hardware engineers to validate robot models and partner with research scientists to ensure numerical stability and physical accuracy for Sim2Real transfer. Your work focuses on tuning solvers, optimizing collision dynamics, and performing system identification to enable the training of robust robot control policies for complex, physical interactions. Key job responsibilities * Develop and maintain the shared simulation software framework, specifically owning the physics integration, robot state management, and control layers * Develop and optimize parallelized (vectorized) physics environments for high-throughput reinforcement learning (e.g., Isaac Lab, MuJoCo) * Tune physics engine parameters (solvers, friction, restitution) to support complex contact-rich scenarios required for dexterous manipulation and agile locomotion. * Implement and validate complex robot models (URDF/MJCF) involving precise actuator and sensor modeling * Collaborate with robot engineers and scientists to perform System Identification (SysID) to minimize the Sim2Real gap About the team At Frontier AI & Robotics (FAR), we're not just advancing robotics - we're reimagining it from the ground up. Our team is building the future of intelligent robotics through frontier foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios. What sets

Configuration Analyst United States-West Virginia-Rocket Center RELOCATION ASSISTANCE: No relocation assistance available CLEARANCE REQUIRED FOR START: No CLEARANCE TYPE: Secret TRAVEL: Yes, 10% of the Time Description At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. This position will be located at on-site at our Rocket Center, WV location. No remote work is available for this position. Configuration Analyst - Level 2 This position requires demonstrated experience: establishing and following CM/DM processes throughout project life cycles to maintain consistent configuration control, developing, operating, and maintaining CM database and other process management tools, maintaining the Configuration Management Plan, managing CM products and documentation. Coordinate and administer configuration management activities related to planning, identification, change management, status accounting, and verification and audit. Manage CM processes to maintain the integrity of

Senior Applied Scientist, Amazon Industrial Robotics Seattle, Washington, USA Amazon Industrial Robotics is seeking exceptional talent to help develop the next generation of advanced robotics systems that will transform automation at Amazon's scale. We're building revolutionary robotic systems that combine cutting-edge AI, sophisticated control systems, and advanced mechanical design to create adaptable automation solutions capable of working safely alongside humans in dynamic environments. This is a unique opportunity to shape the future of robotics and automation at an unprecedented scale, working with world-class teams pushing the boundaries of what's possible in robotic dexterous manipulation, locomotion, and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon Industrial Robotics we leverage advanced robotics, machine learning, and artificial intelligence to solve complex operational challenges at an unprecedented scale. Our fleet of robots operates across hundreds of facilities worldwide, working in sophisticated coordination to fulfill our mission of customer excellence. The ideal candidate will contribute to research that bridges the gap between theoretical advancement and practical implementation in robotics. You will be part of a team that's revolutionizing how robots learn, adapt, and interact with their environment. Join us in building the next generation of intelligent robotics systems that will transform the future of automation and human-robot collaboration. Key job responsibilities - Collaborate with simulation and robotics experts to translate physical modeling needs into robust, scalable, and maintainable simulation solutions. - Design and implement high-performance simulation modeling and

Design Engineer, Fauna New York, New York, USA As a Design Engineer, you will own the detailed design and development of mechanical components and assemblies from concept through production release. This is a highly CAD-intensive role. You'll spend your time designing parts, building and maintaining assemblies, and working through the full DFM and tooling process with our overseas manufacturing partners. You'll work closely with our industrial design, mechanical engineering, and manufacturing teams to deliver parts that are beautiful, functional, and manufacturable. Key job responsibilities Part Design & CAD - Own detailed 3D modeling and 2D drawing creation for mechanical components and assemblies in Onshape - Design parts across a range of manufacturing processes with a primary focus on injection molding and CNC machining - Maintain clean, well-structured CAD models and assemblies with robust parametric relationships and change-tolerant architecture - Manage drawing packages including GD&T callouts, tolerances, and surface finish specifications appropriate for the manufacturing process - Support design iterations rapidly through prototype and EVT/DVT build cycles, incorporating feedback from testing and manufacturing Injection Molding & Tooling - Lead DFM reviews for injection molded parts, identifying and resolving issues related to draft, wall thickness, sink, warp, parting lines, and gate location - Own the tooling development process end-to-end: RFQ, vendor selection, tool design review, T0/T1/T2 sampling, and first article approval - Manage relationships with tooling vendors - communicating design intent clearly across time zones , tracking tool build progress, and driving issues to resolution - Review and redline tooling designs, mold

Staff Software Engineer, AI and Infrastructure Sunnyvale, CA, USA Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. Our team develops Borglet which is Google's “node agent”, responsible for managing the life cycle of all user processes that run on all our machines. The Borglet Infrastructure group in Borglet is a team of 30 SWEs (distributed between Sunnyvale and Warsaw) developing core pieces of Borglet (Software Architecture, Runtime, Machine Management, Storage) to deliver the container infrastructure that is scalable, extensible, efficient and secure. The team is focused on key large initiatives in MSCA like ML/AI Infrastructure (GPU/TPUs in Borg), Security, Capacity Fungibility, Warp Space (TI VMs). The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping