Finance & Operations Associate

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence layer that will drive the next generation of humanoid robots. Our mission is to expedite the transition from delicate prototypes to fully operational humanoid systems in real-world applications. Founded by distinguished scientists in robot reinforcement learning (including ex-Nvidia and ex-ETH Zürich), we are supported by leading international venture capital firms. In just a few months, we have evolved from writing our first line of code to successfully deploying real humanoid capabilities in collaboration with our partners. Discover more about us at flexion.ai.The Role:As a Robotics Field Application Engineer, you will be an integral part of our Engineering team, collaborating closely with R&D, Product, and our partners to enhance Flexion’s software across a variety of customer robot fleets. You will serve as the technical lead for key accounts, overseeing successful end-to-end integrations by leading on-site deployments, ensuring optimal performance, and acting as the technical liaison between our engineering team and real-world customer operations.Key Responsibilities:Serve as the technical owner for key customer accounts, ensuring stable and successful integrations of Flexion’s software stack on customer robots.Lead on-site deployments at customer facilities, supporting the software lifecycle from initial setup to daily operations.Triage and resolve full-stack issues spanning software, hardware interfaces, and system integration, both remotely and on-site as necessary.Collaborate with R&D and Product teams to broaden deployments and facilitate customer rollouts.Document logs, failure modes, and field learnings, providing actionable feedback to engineering to drive product enhancements.Develop and maintain technical documentation, deployment runbooks, and operations manuals to promote customer self-sufficiency.Requirements:Master's degree in Mechanical Engineering, Computer Science, Robotics, Electrical Engineering, or a related field.Strong proficiency in C++ and Python programming languages.Extensive experience with robotics hardware and software integration, particularly in troubleshooting real robotic systems.Proficiency in networking concepts (IPv4, TCP/IP, Subnetting) and Linux networking tools.Hands-on experience with perception sensors and pipelines (including mono and stereo cameras, LiDAR).Familiarity with embedded systems communication protocols (Ethernet, MIPI, I2C, SPI).Strong background in robotics middleware, particularly with ROS2 and DDS.Excellent communication skills, with the ability to manage customer expectations and articulate technical solutions effectively.Willingness to travel to customer sites as necessary (approximately 20% of the time).Familiarity with Deep Learning and Reinforcement Learning concepts is a plus.

Gravis Robotics is an innovative startup revolutionizing the construction industry by transforming heavy machinery into intelligent, autonomous robots. Our pioneering approach combines learning-based automation with augmented remote control, allowing a single operator to safely oversee a fleet of earthmoving machines within a gamified environment. With over a decade of academic expertise in large-scale robotics, our dedicated team is actively applying this knowledge to create real-world solutions in partnership with industry leaders in a trillion-dollar market.About the RoleAt Gravis, we function at the nexus of hardware, software, and real-world implementation. Our Rooftop Autonomous Control Kit (RACK) seamlessly integrates sensing, computing, communication, and networking into a versatile solution applicable across various construction machines.As a Field Robotics Engineer, you will be pivotal in executing customer projects and ensuring our systems adhere to the highest reliability and performance standards. This hybrid role blends hands-on technical execution with the management of customer deployment projects from inception to completion.You will collaborate closely with our R&D and Operations teams to facilitate comprehensive deployments, consistently enhancing the way we plan, test, and deliver our solutions. Your responsibilities will include leading on-site setup and commissioning, directly engaging with customers throughout project execution, and translating complex robotic system behaviors into dependable real-world performance. Your capacity to comprehend and troubleshoot integrated robotic systems will be crucial for maintaining and enhancing the robustness of our field operations.

Flexion Robotics creates the intelligence layer for next-generation humanoid robots, drawing on deep expertise in robot reinforcement learning. Founded by scientists from organizations like Nvidia and ETH Zürich, the team has rapidly advanced from early development to deploying real humanoid capabilities. The company is backed by international venture capital and operates from Zürich. Role overview The Simulation Software Engineer will take full responsibility for the simulation stack that drives robot learning at Flexion Robotics. Simulation is central to the company’s approach for scaling intelligence, and this position shapes both the fidelity and efficiency of the simulation platform. The work directly influences how robots learn and perform in real environments. Main responsibilities Simulation stack ownership: Design, develop, and maintain the core simulation infrastructure for robot learning. Oversee its architecture, reliability, and ongoing evolution to meet team needs. Simulation fidelity: Build and refine models for contacts, actuators, deformables, and sensors. Work to reduce the sim-to-real gap, improve physical realism, and validate simulations using real-world data. Training throughput optimization: Enhance the simulation stack for large-scale reinforcement learning. Implement efficient multi-GPU and multi-node pipelines, and resolve bottlenecks to increase training speed. Photorealistic rendering and synthetic data: Extend rendering pipelines to support vision-based learning. Enable domain randomization and generate synthetic datasets for robust perception systems. Software-in-the-loop testing: Maintain infrastructure for validating policies and systems within simulation before hardware deployment. Support rapid iteration and help minimize risks during transitions to real robots. Collaboration: Work closely with engineers and researchers in reinforcement learning, control, perception, and hardware to align simulation with real-world performance and deployment objectives.

About Flexion Robotics:At Flexion Robotics, we are at the forefront of creating the intelligence that will drive the next generation of humanoid robots. Our mission is to expedite the shift from fragile prototypes to tangible humanoid deployments in real-world applications. Founded by renowned scientists in the field of robot reinforcement learning (including alumni from Nvidia and ETH Zürich) and supported by prestigious international venture capital firms, we have rapidly progressed from our initial coding phase to successfully deploying real humanoid capabilities alongside our partners.The Role:We are seeking an enthusiastic intern to join our manipulation team, where you will play a critical role in developing and implementing learning-based controllers for dexterous manipulation on our humanoid robot. This position offers you the opportunity to collaborate closely with top engineers and researchers across various teams focused on manipulation, reinforcement learning, and motion generation. In this hands-on role, you will gain invaluable real-world robotics experience by contributing to cutting-edge research and development initiatives, from training models to deploying them on physical hardware.If you are passionate about advancing the field of humanoid dexterous manipulation and eager to learn from one of the leading teams in the industry, we encourage you to apply.

Skydio stands at the forefront of the drone industry as a premier US-based company and a global leader in autonomous flight technology, pivotal for the future of drones and aerial mobility. Our team merges profound expertise in artificial intelligence with top-tier hardware and software development, operational excellence, and a customer-centric approach to empower a diverse array of drone users—from utility inspectors and first responders to soldiers in tactical environments and beyond.About the Role:We are seeking a talented Software Engineer to enhance the core of the Skydio Simulator—a high-fidelity, real-time digital twin of the physical world utilized daily by both customers and Skydio’s autonomy engineers.In this pivotal role, you will delve into the simulator stack, spanning physics and sensor simulation, hardware emulation, and the architecture that drives our complete autonomy software in simulation. You will play a crucial role in defining the behavior of simulated environments, how vehicles perceive and interact with them, and ensuring that simulations closely reflect reality.This systems-focused position emphasizes correctness, performance, and realism. While prior robotics experience is not mandatory, an inquisitive mindset regarding physical systems and a keen interest in autonomous robotics are essential.Areas of Responsibility:Core Simulator Architecture: Design, develop, and enhance the foundational architecture of the Skydio Simulator, ensuring scalability across various vehicle types, environments, and applications.Physics and Dynamics: Refine and expand physics models that dictate vehicle motion, environmental interactions, and dynamic agents.Sensor and Hardware Simulation: Create high-fidelity simulations of cameras, IMUs, and other onboard components, incorporating timing, noise characteristics, and hardware behavior.Autonomy Stack Integration: Execute and validate the complete Skydio autonomy stack in simulation, ensuring alignment between simulated and real-world behaviors.Feature Development on Top of the Core: Implement simulator functionalities that facilitate new workflows for customers and internal autonomy engineers, from training scenarios to advanced testing modes.Performance and Fidelity: Profile, optimize, and enhance simulator performance while consistently striving for greater realism and accuracy.What You’ll Do:Develop core simulator components using C++ and Python...

Join our innovative team at Flexion Robotics in Zürich as an AI Engineer focused on dexterous manipulation. In this role, you will spearhead the development and implementation of cutting-edge, learning-based controllers designed to enhance robotic interactions with the environment and improve the reliability and flexibility of object manipulation.

About Flexion RoboticsAt Flexion Robotics, we are pioneering the intelligence framework that empowers the next generation of humanoid robots. Our commitment lies in accelerating the journey from delicate prototypes to practical humanoid applications. Founded by renowned scientists specializing in robot reinforcement learning (with backgrounds from Nvidia and ETH Zürich), and supported by prominent global venture capital firms, we've rapidly transitioned from our initial coding phase to real-world humanoid functionalities within a matter of months.The RoleWe are seeking a dedicated Systems Administrator (IT/Security), employed 60% to 100%, to take full ownership of our internal IT operations and security measures as we expand our Zürich office. As our first dedicated hire in this area, you will be responsible for managing our Linux systems, ensuring a reliable office network infrastructure, enhancing IT security, and optimizing identity/access management across our core SaaS tools.This is an exceptional opportunity to delve into and elevate the IT infrastructure that underpins the creation of cutting-edge humanoid robots and AI technologies. You will engage with Flexion’s robots, GPU workstations, servers, cloud infrastructure, modern networking gear, and testing environments for our robotic systems.Your role will blend hands-on systems administration with strategic security leadership. You will establish policies and processes, implement essential controls, and collaborate with our engineering team to maintain the security of our internal and cloud environments without impeding our company’s agility.Joining our seasoned infrastructure team, which includes senior software engineers with experience from companies like Google, Meta, and Amazon, you will contribute to enhancing the foundational IT systems already in place.Key ResponsibilitiesTake full ownership of IT: establish and manage a dependable internal IT framework for a growing team (approximately 40 members), with clear onboarding/offboarding processes, access protocols, and support systems. You will collaborate with software engineers for implementation as necessary.Secure our Linux systems: standardize and manage Linux laptops, GPU workstations, and servers (including provisioning, patching, hardening, posture management, and inventory).Oversee identity & SaaS access: administer Google Workspace and essential tools (e.g., GitHub, Tailscale, cloud/AI vendors), enforcing principles of least privilege and maintaining an organized lifecycle management.Manage the office network: enhance and maintain our UniFi-based network (Wi-Fi, segmentation, firewalling, guest access) to ensure high uptime, robust security, and dependable connectivity to our robots.Drive security enhancements: formulate practical security policies and implement high-impact controls to safeguard company intellectual property.Establish AWS security baseline: manage foundational AWS security (organization/IAM hygiene, VPC/security groups, EC2 lifecycle guardrails) in collaboration with our engineering team.Requirements3+ years of experience in systems administration, particularly within IT and security domains.Proficiency in managing Linux environments and familiarity with cloud services, particularly AWS.Experience with network management and security best practices.Strong understanding of identity and access management, especially in SaaS environments.Excellent problem-solving and communication skills, with the ability to work collaboratively in a fast-paced environment.

Flexion Robotics develops intelligence for next-generation humanoid robots, aiming to move quickly from prototypes to real-world use. Founded by specialists in robot reinforcement learning from organizations like Nvidia and ETH Zürich, the company has progressed from early code to functional humanoid systems, supported by international venture capital. Role overview This AI Research Engineer position centers on reinforcement learning for manipulation in humanoid robots. The work blends research and engineering, with a focus on enabling robots to perform long-horizon, contact-rich tasks reliably outside the lab. The role involves significant ownership and close collaboration with simulation and control teams to deliver integrated robotic capabilities. What you will do Advance RL-based manipulation: Design and implement learning strategies for complex, dexterous manipulation tasks, moving humanoid robots toward practical deployment. Address long-horizon and sparse-reward challenges: Develop algorithms and systems to help robots handle multi-stage tasks with delayed or sparse rewards, tackling issues like credit assignment, exploration, and stability in real-world conditions. Facilitate sim-to-real transfer: Create methods for transferring policies from simulation to physical robots, focusing on robustness, managing model mismatches, and applying techniques such as domain randomization and system identification. Enhance RL systems: Optimize large-scale training pipelines for learning across many parallel environments, and work with simulation teams to improve efficiency and enable more complex behaviors. Innovate learning methodologies: Explore and apply new approaches that combine reinforcement learning, imitation learning, and model-based methods, going beyond standard practices when needed. Location This role is based in Zürich, Zurich, Switzerland.

Gravis Robotics is an innovative startup dedicated to transforming heavy construction machinery into intelligent, autonomous robotics. Our groundbreaking approach combines advanced learning-based automation with augmented remote control, enabling a single operator to manage a fleet of machines safely from any location globally. With over a decade of academic expertise in large-scale robotics, our team is rapidly expanding to revolutionize this multi-billion dollar industry.Internship OverviewWe are seeking enthusiastic and talented interns to join our dynamic team and contribute to the development and implementation of extraordinary construction robots. The ideal candidate is self-driven, thrives in both independent and collaborative environments, and possesses a strong passion for tackling exciting and complex challenges.At Gravis, we constantly engineer solutions at the intersection of hardware and software. Your responsibilities may encompass one or more areas based on your experience and interests.

Gravis Robotics builds intelligent, autonomous robots for the heavy construction industry. Our team combines experience in large-scale robotics research with hands-on work, turning traditional earthmoving machines into smart, operator-guided fleets. By blending advanced automation with augmented remote control, we help a single operator manage multiple machines safely and efficiently. Role overview The Lead Simulation Engineer will design and drive the simulation ecosystem at Gravis Robotics in Zurich. This role sits at the intersection of hardware, software, and real-world deployment. Our Rooftop Autonomous Control Kit (RACK) brings together sensing, computing, communication, and networking in a flexible solution for different types of construction equipment. What you will do Architect and implement simulation infrastructure supporting software testing and development Enable automated regression testing for our robotics stack Support machine learning policy training and synthetic data generation Collaborate with Autonomy, Perception, and Platform teams to meet simulation needs Shape technical strategy for simulation and testing as the company grows About Gravis Robotics Based in Zurich, Gravis Robotics works closely with industry partners to bring advanced robotics to a trillion-dollar market. Our team values practical solutions and technical excellence, and we are committed to turning research into real-world impact.

ANYbotics is an innovative and rapidly expanding technology company committed to transforming the landscape of mobile robotics across various industries. Join our dynamic team of over 200 skilled professionals and engage in pioneering robot technology.At ANYbotics, we are at the forefront of mobile robotics, delivering autonomous quadruped robots designed to enhance safety, efficiency, and intelligence in challenging environments, including offshore platforms, chemical facilities, and heavy asset sectors such as power and mining.We integrate advanced robotics, autonomy, inspection payloads, and data-driven software into comprehensive solutions for industrial inspection and monitoring. Our technology is already making an impact in the field, and we are scaling up deployment and global commercial adoption.The OpportunityAs the Principal Product Manager for Robot Platforms, you will be responsible for the strategic roadmap of the core ANYmal platform across our robotics product line.This senior individual contributor position lies at the intersection of engineering, customer requirements, deployment realities, and commercial objectives. You will play a pivotal role in shaping the evolution of our robot platform, transforming cutting-edge robotics technology into scalable industrial products that thrive in real-world customer environments.You will collaborate closely with R&D, Operations, Customer Success, Sales, and Marketing, serving as a key partner to the Chief Product Officer in one of our most critical product domains.The Market & Our TechnologyANYbotics is pioneering the use of robotics in industrial settings where safety, uptime, and operational reliability are paramount. Our clientele includes major asset operators and service providers who leverage our solutions for autonomous inspection and monitoring across diverse sectors such as chemicals, oil and gas, rail, wind energy, mining, and construction.

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence framework that will drive the next generation of humanoid robots. Our overarching mission is to expedite the transformation from delicate prototypes to their practical application in real-world scenarios. Founded by preeminent scientists specializing in robot reinforcement learning, with backgrounds from Nvidia and ETH Zürich, we are supported by top-tier international venture capital firms. In just a few months, we've transitioned from our initial line of code to the deployment of tangible humanoid capabilities alongside our partners.The Role:We are seeking a highly skilled expert in whole-body motion generation and/or vision-conditioned generative models to enhance our team in Zurich. Drawing inspiration from the recent advancements in neural avatars and computer graphics, we strive to implement similar methodologies to generate comprehensive body movements for our humanoid robots. The primary objective of this role is to innovate and implement cutting-edge multimodal generative models for robot trajectory generation.

About Flexion Robotics Flexion Robotics is building the intelligence framework for tomorrow’s humanoid robots. The company’s mission is to move from early prototypes to fully functional humanoid systems. Founded by leading scientists in robot reinforcement learning (with backgrounds at Nvidia and ETH Zürich) and backed by top international venture capital, Flexion Robotics has quickly progressed from first lines of code to deploying real humanoid capabilities. Role Overview The Machine Learning Infrastructure Engineer will help shape the core computing and data systems that support cognitive development for humanoid robots. This position focuses on building and maintaining the platforms needed to train large foundational models on substantial datasets. The work involves designing training clusters, architecting data pipelines to move information from simulators and robots into model training, and creating tools that enable AI engineers to train, evaluate, and iterate efficiently. This is a senior, on-site position based in Zürich. The Infrastructure team includes engineers with experience at Google, Meta, and Amazon. The role offers broad responsibility for systems supporting data collection, training, and experimentation workflows, including infrastructure strategy, cluster orchestration, distributed training, data platforms, CI, and experimentation tools. What You Will Do Design, deploy, and maintain GPU compute clusters for large-scale model training across multiple cloud providers, including job scheduling with Slurm and Kubernetes. Build data platforms and pipelines: set up storage, processing, and serving layers to manage data from simulator outputs and robot telemetry to training datasets. This includes infrastructure using object storage (S3), parallel filesystems (Lustre), and data formats such as Parquet, WebDataset, and LeRobot. Use distributed processing tools like Ray and Spark to transform and validate data at scale. Work with AI engineers to optimize distributed training on multi-node GPU clusters, focusing on throughput, device utilization, and communication efficiency. Improve distributed IsaacLab-based sim-to-real training workflows. Evaluate and select new platforms: assess cloud providers, GPU-as-a-Service options, and new tools, taking ownership of decisions as computing needs grow. Location This role is on-site at Flexion Robotics’ Zürich office.

Our MissionAt rai, we are dedicated to addressing the most pressing and foundational challenges within the realms of AI and Robotics. Our goal is to develop future generations of intelligent machines designed to enhance the quality of life for everyone.About the Role: Research ScientistAs a Research Scientist, you will possess extensive hands-on research experience, specializing in one or more of the following areas: Robot Control (Reinforcement Learning, Imitation Learning), Perception, Autonomy and Navigation, Large Language Models (LLM/VLM), and Hardware Design. If you are passionate about innovating technology for robots and enhancing their capabilities and utility, we invite you to become part of our team!

About UsPoint One Navigation is at the forefront of redefining precise location technologies. Our goal is to create a cohesive location platform that enhances autonomy, safety, and efficiency across various sectors, including robotics and transportation. We pride ourselves on our high-performance, collaborative team dedicated to tackling complex challenges swiftly and effectively.Role OverviewWe are seeking a passionate Field Application Engineer (FAE) to join our team in Switzerland. In this pivotal role, you will drive the technical adoption and success of our GNSS/GPS SaaS solutions across key accounts in EMEA and beyond. Collaborating closely with Sales, Product, Customer Success, and Engineering teams globally, you will be integral to our go-to-market strategy.As the inaugural EMEA FAE, your expertise in full system design will enable you to build strong technical relationships and influence engineering decisions through compelling technical narratives. A keen interest in troubleshooting and resolving technical challenges is essential.Your success will be measured by your ability to deliver technical wins and lead proof of concept initiatives.You will engage with customers and prospects in sectors such as autonomous vehicles, robotics, drones, industrial automation, and precision agriculture. Your responsibilities will range from designing proof-of-concepts to conducting architecture reviews and providing post-sales support, ultimately ensuring customer success with our technology.Key ResponsibilitiesPre-Sales Technical Engagement:Collaborate with the EMEA Sales team to assess customer needs and deliver impactful technical presentations, workshops, and demonstrations.Design and implement proof-of-concepts (PoCs) that engage engineering teams and technical stakeholders through comprehensive product evaluations.Solution Architecture & Design:Guide customers through architecture reviews, deployment planning, and systems integration focusing on GNSS corrections, cloud services, autonomy stacks, and embedded systems.Advise on scalable integration strategies and assist customers in planning for high-precision, real-time positioning deployments.

About Flexion RoboticsAt Flexion Robotics, we are at the forefront of developing the intelligence framework that will drive the next generation of humanoid robots. Our mission is to expedite the transition from fragile prototypes to fully operational humanoid systems. Founded by top-tier scientists specializing in robot reinforcement learning from esteemed institutions such as Nvidia and ETH Zürich, and supported by premier international venture capital firms, we have rapidly progressed from our initial code to the deployment of real-world humanoid functionalities.The RoleWe are seeking a talented Robotics Engineer to bridge the gap between simulation and practical application. As we transition learned control policies to physical hardware, the accuracy of our simulations becomes vital to our success.Your focus will be on precise modeling and system identification of both in-house and client robots. You will interact directly with physical hardware to analyze sensors, drivetrains, and contact dynamics, ensuring accurate replication of these characteristics within our simulation environment while assessing the sim-to-real gap.This interdisciplinary role will have you collaborating closely with our control, perception, and hardware teams to enhance the performance of our solutions.Key ResponsibilitiesHigh-Fidelity Modeling: Create mathematical models for physical subsystems, including drivetrains, sensors, and network behaviors (latency, jitter).System Identification: Design and implement experiments to gather robot data and utilize it to determine physical parameters (friction coefficients, inertial parameters, noise, latency).Simulation Implementation: Integrate these models into our advanced simulation framework.Validation & Verification: Continuously benchmark simulation outcomes against real-world data to quantify and reduce the

Join Flexion Robotics as a Talent Acquisition Partner, where you will play a crucial role in shaping our workforce. In this dynamic position, you will collaborate closely with hiring managers to attract, engage, and secure top talent for our innovative projects.We are looking for an enthusiastic professional who is passionate about recruitment and possesses a keen understanding of the robotics industry. Your expertise will be pivotal in enhancing our company culture and driving business success.

About Flexion Robotics:At Flexion Robotics, we are pioneering the intelligence layer that will drive the next generation of humanoid robots. Our mission is to facilitate the seamless transition from fragile prototypes to actual deployment of humanoid robots in real-world applications. We are backed by a team of renowned scientists from the fields of robotic reinforcement learning (ex-Nvidia, ex-ETH Zürich) and supported by leading international venture capital firms. In just a few months, we have advanced from our first line of code to launching genuine humanoid capabilities in collaboration with our partners.The Role:This position transcends the typical product management role. As a vital member of our product team, you'll operate at the nexus between our infrastructure engineering team and our customers, taking ownership of the tools and interfaces developers utilize to integrate Flexion's AI software with new robotic platforms. You will spend substantial time engaging with our robots in the testing space, traveling to customer locations to grasp integration challenges firsthand, and translating these insights into a comprehensive tooling roadmap that accelerates deployments.Your responsibilities encompass the entire lifecycle: from the initial SDK integration on new customer platforms, through development and testing workflows, to production debugging and maintenance tools. You'll be instrumental in defining what constitutes an exemplary developer experience for engineers working with humanoid robots—an evolving field with no established playbook.Responsibilities:Take ownership of the product roadmap for Flexion's developer tools, which include SDKs, APIs, CLI tools, GUIs, diagnostics, and integration frameworks.Collaborate directly with customer engineering teams to gain a deep understanding of their integration workflows, hardware limitations, and pain points, with regular travel to customer sites.Establish requirements and acceptance criteria for tooling releases, working closely with Flexion's infrastructure and testing teams while maintaining a continuous feedback loop between delivered products and actual customer needs.Engage hands-on with robots, execute integrations, replicate bugs, and ensure that tooling performs effectively in real-world conditions.Guide the release process for developer-facing tools, encompassing documentation, versioning, and changelog communications to customers.Analyze adoption and usage patterns across customers, leveraging both quantitative signals and qualitative feedback to prioritize the backlog effectively.Develop and maintain comprehensive developer documentation, tutorials, and reference architectures that empower customer teams to self-serve whenever possible.

About Flexion Robotics:At Flexion Robotics, we are dedicated to developing the intelligence layer that will drive the next generation of humanoid robots. Our goal is to expedite the shift from fragile prototypes to fully functional humanoids deployed in real-world scenarios. Founded by top-tier scientists in the field of robot reinforcement learning (with backgrounds at Nvidia and ETH Zürich), and supported by prominent international venture capital firms, we have rapidly advanced from writing our first line of code to demonstrating real humanoid capabilities in collaboration with our partners.The Internship Role:We are in search of a skilled MS or PhD intern to join our dynamic team in Zürich, eager to explore how humanoid robots can perceive and interact with their surroundings in innovative ways.Your work will be at the cutting edge of generative whole-body trajectory generation, utilizing diffusion models, flow matching, and/or auto-regressive models, along with 3D environment perception.This is a unique opportunity to tackle open-ended challenges in a fast-paced environment while learning from an exceptional team of engineers and scientists, contributing directly to our foundational software development.