Physical Therapist Jobs

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a motivated Robotics Electrical Engineering Intern for Fall/Winter 2026 to join our team. This role is a hands-on opportunity to bridge the gap between hardware design and embedded software. You will be instrumental in bringing our in-house electronics boards to life by debugging hardware circuits and developing the firmware that drives them. You will work alongside a team of world-class researchers and engineers on ambitious, real-world problems at the intersection of foundation models, decision-making, and robotics. This is an opportunity to help shape core research directions, build cutting-edge systems, and contribute to work with strong potential for publication at top-tier conferences. Responsibilities Perform circuit validation including power-on tests, signal integrity checks, and continuity testing Troubleshoot hardware issues using oscilloscopes, multimeters, and logic analyzers Develop, test, and maintain embedded firmware for Arduino (C++) and STM32 (C) platforms using open-source libraries Implement and debug communication protocols including CAN bus , I2C, SPI, and UART Validate communication protocols with Linux-based environments Ensure reliability and robustness of firmware in real-world conditions Manage end-to-end documentation, turning complex debugging and firmware details into clear, actionable guides for engineers. Requirements Currently pursuing a BS, MS or PHD in Electrical Engineering, Computer Engineering, or a related field Proficiency with the Arduino ecosystem and experience or strong interest in STM32 (HAL/LL or STM32CubeIDE) Understanding of CAN bus architecture and messaging Hands-on experience with lab tools (oscilloscopes, digital multimeters, function genera

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Senior / Staff Robotics Engineer, Motion Planning to own the local mobility and safety stack for our fleet. In this role, you will bridge the gap between AI-driven perception and physical hardware execution. You will consume traversability and semantic costmaps generated by our AI team and translate them into safe, dynamically feasible, and deterministic motion. You are solving the physics of mobility on unpredictable terrain, ensuring our humanoid platform respects its physical limits, shifting center of mass, and traction constraints. Responsibilities Dynamic Motion Planning: Architect and implement advanced local planners (e.g., optimization-based approaches like MPC, MPPI, or custom contouring control) that translate AI-generated routes into trajectories that a heavy, non-holonomic base can physically execute on uneven terrain. AI Integration & Costmap Consumption: Build the high-performance C++ pipelines that ingest the AI team's neural network outputs (semantic maps, learned costmaps) in real-time and convert them into deterministic mathematical constraints for the planner. Center of Mass (CoM) Aware Navigation: Ensure local planners dynamically adjust to real-time changes in the robot's Center of Mass caused by the lifting column and dual-arm payloads. Your trajectories must guarantee stability and prevent tipping on slopes or rough ground. Deterministic Safety Architectures: AI models hallucinate. You will build the deterministic C++ safety layer and fallback behaviors that override AI inputs if a commanded path violates physical safety constraints or if off-the-shelf SLAM tracking drops. WBC Integration: Architect the local planning interfaces to seamlessly pass base trajectories, v

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking Senior / Staff Robotics Engineer, Manipulation to own the arm autonomy stack. You will architect the algorithms that allow our robot to reach, grasp, and manipulate objects safely and intelligently. You will bridge the gap between high-level planning and low-level control, ensuring our robot can interact with the world with both precision and compliance. Responsibilities Advanced Motion Planning & Trajectory Generation: You will architect the algorithms that drive high-DOF arm motion in dynamic environments. This involves implementing constrained motion planners that generate smooth, jerk-limited trajectories in real-time. You will also solve the "Whole Body" control problem, coordinating the mobile base and the manipulator arm simultaneously to extend the robot's workspace and maintain stability during heavy lifting tasks. Interaction Control & Compliance: You will develop the low-level control strategies that enable the robot to physically interact with the world safely. This includes designing and tuning impedance/admittance controllers that allow the robot to modulate stiffness based on force feedback—essential for tasks like opening heavy doors or plugging in connectors. Teleoperation & Human-Robot Interface: You will build the mathematical engine behind our remote manipulation capabilities. You are responsible for the logic that translates human operator inputs into feasible, safe robot motions. You will design the control mapping and assistance layers that ensure remote manipulation feels intuitive and stable, managing the complex translation between human intent and the robot's physical constraints without compromising safety. Requirements Experience: Ph.D. in Robot

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline — from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining. Responsibilities Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale. Build annotation tooling and data curation workflows — quality filtering, deduplication, episode scoring, and domain reweighting — to produce high-quality training datasets for robot policy learning. Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop. Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team. Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training. Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments. Requirements Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience. Strong proficiency in Python and experience build

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are looking for a Senior / Staff AI Research Scientist, Foundation Models to advance robotic embodied intelligence. In this role, you will develop algorithms that enable robots to understand their environment, interpret and execute tasks, and communicate seamlessly with humans — with a particular focus on building and training world models that allow robots to predict, plan, and generalize across complex physical tasks. Responsibilities Design and deploy vision-language(-action) models (VLM/VLA) for contextual understanding and generalized robot action policies. Develop and train world models for action-conditioned prediction, long-horizon planning, and environment simulation — enabling robots to reason about the consequences of their actions before execution. Research approaches to improve world model fidelity using multi-modal inputs including vision, language, proprioception, and spatial representations. Develop foundation models with spatial reasoning capabilities to achieve high-precision robotic actions. Integrate multi-modal data sources (vision, language, speech, etc.) to enable natural human-robot communication. Optimize and deploy models as production-grade solutions on RoboForce robotic platforms. Requirements PhD degree in Machine Learning, Robotics, or related field, or Master's degree with 4+ years of relevant experience. Proficiency in Python and deep learning frameworks (e.g., PyTorch, JAX). Expertise in large foundation models (VLM, VLA, etc.). Strong understanding of world model architectures and action-conditioned generative modeling for robot learning. Decent understanding of multimodal models, modern ML architectures (transformers, diffusion models, etc.). Requires 5 d

Why RoboForce RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company’s robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability. We are seeking a Senior / Staff Mechanical Engineer to design, develop, and refine mechanical systems and components for cutting-edge robotic products. You will collaborate with multidisciplinary teams to create reliable and high-performance robotic solutions. This role offers an opportunity to push the boundaries of robotics technology while working on projects with real-world applications. Responsibilities Design and develop mechanical systems for AI robots. Collaborate with cross-functional teams to integrate mechanical, electrical, and software components. Conduct feasibility studies and simulations to evaluate designs. Create engineering drawings, specifications, and documentation for manufacturing. Work closely with vendors to design and develop various modules. Perform prototype fabrication, testing, and validation to meet performance, reliability, and safety standards. Requirements Master’s degree or PhD in Mechanical Engineering, Robotics, or related field. 5+ years of experience in mechanical design, preferably in robotics or automation. Proficient in CAD software (e.g., SolidWorks, AutoCAD). Strong understanding of materials, manufacturing processes, and mechanical systems. Experience with FEA and other simulation tools. Proven track record of leading projects from concept to production. Excellent problem-solving, communication, and collaboration skills. Requires 5 days/week in-office collaboration with the teams. Bonus Qualifications Experience with robotics, mechatronics, or automation. Familiarity with actuators, sensors, and control systems. Rapid prototyping techniques. Knowledge of regulatory compliance and safety standards in robotics. Benefits Competitive stock options/

This is a caretaker position for an adult with intellectual and physical disabilities. The caretaker will work directly with the client and have hours approved by the employer of record at the end of each shift in accordance with electronic visit verification (EVV) regulations. The caretaker must have a mobile phone capable of downloading the app needed to record and submit shifts. Further details are given below: Duties: - Assist with feeding, bathing, grooming, dressing, and daily care for client - Assist the client by performing laundry duties (including changing of bed linens) - Administration of daily medication to client - Maintain a clean and stress-free environment for the client - Use of adaptive equipment to transfer the client from bed/bath/wheelchair - Lifting and positioning of the client - Ensuring physical safety of client, including in the event of a seizure (client is epileptic) - Accompany client to doctor's appointments and other outings - Assist with other various ADLs not specified Qualifications - Must be a minimum of 18 years of age - Must have minimum high school diploma or equivalent - Must be able to pass background check and drug screening - Must be eligible to work in the United States Preferences - Official CPR and First Aid Training - At least one year experience working with intellectually and/or physically disabled adults Pay: $13.88 per hour Hours: Flexible Benefits: - flexible hours - paid sick leave - no weekend work - no work on standard holidays

About the Team The Industrial Compute team is responsible for building the physical infrastructure that powers OpenAI’s largest-scale AI systems. We design, deploy, and operate next-generation compute infrastructure across a rapidly expanding global footprint, combining OpenAI-owned infrastructure with strategic cloud and infrastructure partners to support frontier AI workloads. As our infrastructure footprint grows, operational excellence across third-party providers becomes increasingly critical. Our team ensures external infrastructure partners consistently deliver the reliability, performance, and operational maturity required to support OpenAI’s rapidly expanding compute environment. About the Role We are seeking a Hardware Technical Program Manager, Infrastructure Partner Operations to lead operational delivery across OpenAI’s third-party infrastructure partners, including major cloud service providers and strategic compute vendors. In this role, you will serve as the primary operational program manager for external infrastructure partners, driving accountability for service delivery, operational readiness, incident management, performance reporting, and continuous operational improvement. You will work closely with partner engineering and operations teams while coordinating internally across Hardware Engineering, Infrastructure Operations, Capacity Planning, Networking, Supply Chain, Deployment, Reliability Engineering, and executive leadership. Success in this role requires someone who understands how hyperscale infrastructure organizations operate, can establish strong operational governance with external partners, and is comfortable driving complex technical programs without direct ownership of the underlying infrastructure. Key Responsibilities Own operational engagement with third-party infrastructure providers, ensuring consistent execution against operational commitments, service-level agreements (SLAs), and performance expectations. Develop operationa

About the Team The Stargate organization is responsible for building and scaling the physical infrastructure systems that power OpenAI’s next generation of AI training and inference platforms. This includes the manufacturing, deployment, and operational execution required to bring large-scale compute infrastructure online globally. The team operates at the intersection of data center infrastructure, hardware manufacturing, supply chain, deployment operations, and systems planning. We partner closely across Infrastructure Strategy, Manufacturing Operations, Capacity Planning, Supply Chain, Deployment, and Engineering to execute one of the largest infrastructure scale-outs in the industry. About the Role We are seeking a Technical Program Manager, Rack Delivery to drive operational execution across rack manufacturing, site readiness, and deployment coordination for Stargate infrastructure programs. This role will serve as a key connective layer between manufacturing partners, deployment teams, and infrastructure readiness programs to ensure rack production and delivery timelines remain aligned with site availability and deployment sequencing. You will help manage operational execution across contract manufacturers (CMs), support build planning and RCCA processes, and coordinate deployment readiness across multiple concurrent infrastructure programs. You will also partner closely with Demand Planning teams to translate strategic planning inputs into actionable SKU-level manufacturing and delivery schedules. This role is ideal for someone who thrives operating across ambiguity, manufacturing operations, infrastructure deployment, and large-scale cross-functional execution. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation support. Key Responsibilities Drive cross-functional coordination between rack manufacturing, deployment operations, and site readiness programs. Manage operational execution acros

About Us Gather AI is the Physical AI platform for logistics. We give the companies that run the world’s warehouses ground truth on every product and every movement, dock to dock. Our platform reads the warehouse floor through autonomous drones and cameras mounted on material handling equipment, then turns what it sees into intelligence and action. Facilities run safer and more accurately, with fewer ladders and fewer manual counts. If you want to do the defining design work for a new category in a vital industry, we’d like to meet you. About the Team Product at Gather AI sits at an unusual intersection: we build software for people who work on warehouse floors, not at desks. Our users are associates checking inventory on a tablet from the seat of a forklift, shift teams running drone workflows, field technicians troubleshooting on site, and facility leaders reading AI-generated insights in Sage. Design here is about more than pixels, though craft matters a lot. It starts with understanding how people work under pressure, and it ends with software that gets out of their way and looks as advanced as the technology behind it. About the Role Most design roles ask you to improve something that already exists. This one asks you to define what good looks like for a new category of product. You’ll be Gather AI’s first and only designer. You’ll own design end to end, from field research and information architecture to visual craft and working prototypes. Your work spans the apps floor teams use alongside our drones and MHE Vision systems, and Sage, our AI insights layer. The job is to help the product team ship products that solve real problems and happen to be very well designed, not to make screens for their own sake. You won’t design from assumptions. You’ll stand next to the people using our software and let what you see shape what you build. We’d love you near our Pittsburgh office, and we’ll seriously consider strong candidates anywhere in the US. Th

G&A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form. As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Partner with the team to identify and build AI-powered automations that improve deal desk efficiency and scale our operations Who You Are: At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company Working knowledge of revenue recognition principles Must be comfortable representing the company to customers in negotiations and resolving customer sa

G&A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form. As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Who You Are: At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company Working knowledge of revenue recognition principles Must be comfortable representing the company to customers in negotiations and resolving customer satisfaction issues Strong attention to detail Ability to multi-task Strong communication skills Ability to work in fast paced, high press

G&A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form. As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Who You Are: At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company Working knowledge of revenue recognition principles Must be comfortable representing the company to customers in negotiations and resolving customer satisfaction issues Strong attention to detail Ability to multi-task Strong communication skills Ability to work in fast paced, high press

G&A at Datadog rapidly scales the physical space, hiring, onboarding, and financial and legal systems to keep our business running in top form. As a Deal Desk Analyst, you will work cross-functionally with our Sales Operations, Billing, Contracts and Legal teams to provide quoting and deal structuring support to the Global Sales Team. This will be a growth position as Datadog’s business continues to expand. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them. What You’ll Do: Develop in-depth knowledge of Datadog’s licensing and pricing models to provide deal structuring and quoting support to our global sales teams Be a creative problem solver who finds a way to meet customers’ needs while adhering to Datadog’s selling policies Solve customer satisfaction issues following execution of the deal Actively negotiate deals directly with the customer as needed Work cross functionally across various stakeholder groups including legal, contracts, sales operations, order management, revenue, finance and product management Function as point of contact and subject matter expert for Sales on deal pricing matters Drive adherence to internal controls, protocols and business rules Who You Are: At least 4 years of overall experience including related processes such as sales operations, finance, sales strategy, and sales enablement At least 2 years of experience with deal structuring/quoting complex SaaS transactions for a fast-growing multi-national company Working knowledge of revenue recognition principles Must be comfortable representing the company to customers in negotiations and resolving customer satisfaction issues Strong attention to detail Ability to multi-task Strong communication skills Ability to work in fast paced, high press

We are seeking a proactive and detail-oriented Assistant Manager – Aerodrome Safeguarding to support physical verification of OLS, routine monitoring, NOC processing, and survey related tasks. The role also involves GIS-based obstacle management, coordination with regulatory authorities, and ensuring compliance with national and international aviation standards to maintain safe and efficient airport operations. Source: Adani Group | Job ID: 46273