Staff AI Engineer, Perception

🏢 Summary: Technical leadership role focused on designing, developing, and deploying object detection and tracking algorithms for humanoid robots operating in real-world logistics and manufacturing environments. The position owns the perception architecture and drives state-of-the-art machine learning models for multi-object detection, scene understanding, and 6-DoF pose estimation in production systems. It involves optimizing deep learning models for embedded hardware and collaborating cross-functionally to deliver scalable, high-quality perception software. 🗂️ Requirements: 5+ years deploying machine learning-based object detection on mobile robots, 2+ years in a technical leadership role, Experience with deep convolutional neural networks, Experience with multi-object tracking and data association, Experience with supervised learning and 6-DoF pose estimation, Strong foundation in linear algebra and numerical optimization, Knowledge of geometric concepts in computer vision, Proficiency with PyTorch, OpenCV, NumPy or similar libraries, Experience optimizing algorithms for CPU and GPU architectures, Experience with MLOps including data annotation, storage, evaluation, and deployment 📃 Skills: PyTorch, OpenCV, NumPy, CNN, Tracking, Pose, MLOps, GPU, CPU, LinearAlgebra, Optimization, Robotics, ComputerVision, MachineLearning, Embedded 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.Agility Robotics is deploying humanoid robots that are solving real-world challenges in logistics and manufacturing. Perceiving and understanding the world is critical to Digit's success in these applications. The Perception team is looking for a staff machine learning engineer to own the design and development of object detection and tracking algorithms. Responsibilities: As a technical lead, you will own the architecture and technical roadmap for object perception systems used by the robot in production Design, develop, and deploy machine learning algorithms for multi-object detection, scene understanding, and 6-DoF object pose estimation Evaluate and drive adoption of state-of-the-art perception models Promote best practices in architecture, design, and testing to deliver high-quality, scalable software Optimize deep neural networks and associated data processing to run efficiently on embedded systems Collaborate with navigation, manipulation and hardware teams to align perception capabilities with product requirements Requirements: 5+ years of experience deploying machine learning-based object detection algorithms on mobile robots with at least 2 years of experience in a technical leadership role Proficiency in related technical areas such as (but not limited to) deep convolutional neural networks, multi-object tracking, data association, supervised learning and pose estimation Strong mathematical fundamentals in linear algebra and numerical optimization and familiarity with core geometric concepts in computer vision Familiarity with common computer vision and machine learning libraries such as (but not limited to) PyTorch, OpenCV, NumPy, etc. Experience designing and optimizing algorithms for efficient execution across CPU and GPU architectures Experience with MLOps such as (but not limited to) data annotation services, data storage, model evaluation tools, and model deployment Publications in your field (CVPR, ICCV, RSS, ICRA preferred) Bonus Qualifications: Experience using YOLO, Faster/Mask R-CNN Experience developing ML models for 3 or 6 dof pose estimation This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$207,000—$323,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Software Engineer III role focused on building and scaling a cloud-based data platform for fleet-scale humanoid robotics, enabling ingestion, synchronization, and processing of multimodal robot data for analytics and ML training. The position involves developing distributed data pipelines, edge ingestion agents, and observability systems to support high-volume sensor, video, and telemetry data. This role emphasizes big data technologies, cloud infrastructure, and real-time data processing for robotics applications. 🗂️ Requirements: 3-5 years experience building and scaling cloud-based data platforms, Experience with AWS, GCP, or Azure, Proficiency in big data frameworks such as Spark, Kafka, Beam, or Flink, Familiarity with data formats like Parquet, Arrow, Iceberg, Avro, Protobuf, Experience with observability tools and implementing metrics, tracing, logging systems, Strong proficiency in Python, Proficiency in Java or Scala, Experience with microservices architecture, Experience handling unstructured and structured data integration 📃 Skills: Python, Java, Scala, Spark, Kafka, Beam, Flink, AWS, GCP, Azure, Parquet, Arrow, Iceberg, Avro, Protobuf, OpenTelemetry, Prometheus, MCAP, ROS, Kubernetes, C++, Rust, S3, Athena, Sagemaker, Fluentbit 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role Join the team building the data backbone for fleet-scale humanoid robotics. As a Software Engineer III on our Data Platform team, you will implement and scale the infrastructure required to ingest, process, and synchronize massive datasets from our robots. You will focus on the technical challenges of handling multimodal log data—ensuring that high-frequency sensor data, video feeds, and telemetry are perfectly aligned for playback and ML training. Key Responsibilities Data Ingestion: Design and implement scalable data pipelines for ingesting and processing telemetry, logs and sensor data from our fleet of robots and associated cloud software Multimodal Data Integration: Develop systems to handle complex multimodal logs, ensuring precise synchronization between video, audio, IMU, and joint-state data for downstream analysis and robot "black box" reconstruction/playback. Edge Data Agents: Contribute to the development of data ingestion agents running on-robot to manage high-volume data throughput in variable connectivity environments. Data Optimization: Implement and optimize data formats (e.g., MCAP, Parquet) specifically tuned for the storage and rapid querying of rich multimodal robotics recordings. Observability systems: Develop and maintain observability systems using tools like fluentbit, OpenTelemetry etc enabling real-time monitoring and analytics of fleet operations. Distributed Processing: Use Spark, Kafka, or Flink to transform raw robot data into structured datasets ready for business intelligence and long-horizon fleet analytics. Stakeholder Collaboration: Work closely with AI and Hardware teams to ensure data tools meet the needs of those training the next generation of humanoid models. Cloud Platform: Build and optimize tools for internal stakeholders for business intelligence and long-horizon fleet analytics and forecasting using existing tools like AWS S3, Athena, Sagemaker etc. Required Qualifications 3-5 years of experience building and scaling cloud-based data platforms(AWS, GCP, or Azure). Big Data Tech: Proficient in big data frameworks like Spark, Kafka, Beam, Flink etc Data Formats: Familiarity with OSS data formats like Parquet, Arrow, Iceberg and protocols like Avro and Protobuf. Experience with observability tools(e.g. OpenTelemetry, Prometheus etc) and implementing metrics, tracing and logging systems Strong proficiency in Python and at least one JVM language (Java or Scala), with experience in microservices. Proven experience handling diverse data types—specifically combining unstructured data (logs/video) with structured telemetry Bonus Qualifications Robotics/AV Background: Experience with robot-specific data formats (MCAP, ROS bags) and visualization tools like Foxglove or RVIZ. Sensor Fusion: Understanding of time-sync challenges in multimodal data (e.g., PTP/NTP synchronization across sensors). Infrastructure: Experience with Kubernetes and containerized deployment patterns. Systems Programming: Familiarity with C++ or Rust for high-performance data handling at the edge. IoT Knowledge: Experience with edge computing, Greengrass, or managing data from embedded devices. This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$144,000—$224,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Senior leadership role focused on supplier quality engineering and incoming quality control for humanoid robotics manufacturing. The position leads global supplier quality frameworks, incoming material compliance, and continuous improvement initiatives to support scalable, high-volume production. Candidates should have strong experience in quality systems, manufacturing operations, and technical leadership. 🗂️ Requirements: Bachelor's degree in Industrial, Systems, Mechanical, Electrical Engineering or related field, 8+ years in Quality Engineering, Global Manufacturing, or Supply Chain Operations, 3+ years in direct management or leadership role, Knowledge of ISO 9001, IATF 16949, or ISO 13485, Experience with GD&T and metrology tools, Expertise in SPC and root-cause analysis methodologies, Experience with APQP, PPAP, FMEA, and Control Plans, Ability to travel up to 15%, Authorization to work in the USA 📃 Skills: ISO9001, IATF16949, ISO13485, GD&T, SPC, APQP, PPAP, FMEA, SCAR, 8D, Fishbone, SixSigma, Metrology, ANSI, ASQ, CQE, CSQP, Lean, MRB, ECO 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About The Role Agility Robotics is looking for a Senior Manager, Incoming Quality Control and Supplier Quality Engineering (IQC/SQE). The Senior Manager will lead the strategic vision and daily execution of global supplier quality and incoming material control frameworks. This role is responsible for ensuring that all components, sub-assemblies, and finished goods supplied by external partners meet stringent design, reliability, and compliance standards before entering the production lifecycle. As a key leadership figure in Technical Operations, you will build and scale a high-performing team of Supplier Quality Engineers and IQC technicians, foster a collaborative culture of continuous improvement, and drive technical accountability across the global supply chain. About The Work 1. Strategic Leadership & Team Development - Recruit, mentor, and develop a world-class team of SQEs and IQC inspectors/technicians. - Define and execute the roadmap for scaling IQC and SQE operations to support new product introductions and high-volume global manufacturing. - Partner closely with Design Engineering, Supply Chain, Operations, and Compliance teams to transition products from design to mass production. 2. Supplier Quality Engineering (SQE) & Governance - Establish qualification frameworks for new suppliers. - Lead technical and quality system audits to ensure supplier capabilities align with product requirements. - Drive execution of APQP, including PPAP, FMEA, and Control Plans with global suppliers. - Develop and monitor supplier quality dashboards tracking metrics such as DPPM, SCAR response times, and yield rates. - Conduct regular business reviews with critical vendors. 3. Incoming Quality Control (IQC) & Material Compliance - Oversee the IQC laboratory, including metrology equipment, automated inspection systems, and SOP optimization. - Utilize statistical sampling plans such as ANSI/ASQ Z1.4 to optimize inspection workflows. - Lead the MRB process for non-conforming materials and engineering change order implementation. 4. Continuous Improvement & Root Cause Analysis - Own the SCAR process and ensure suppliers apply disciplined problem-solving methodologies including 8D, 5-Why, and Fishbone. - Apply Lean Six Sigma tools to reduce variability and optimize incoming quality workflows. About You - Bachelor's degree in Industrial, Systems, Mechanical, or Electrical Engineering, or related technical discipline. - 8+ years of experience in Quality Engineering, Global Manufacturing, or Supply Chain Operations. - 3+ years in a management or leadership role. - Strong knowledge of Quality Management Systems including ISO 9001, IATF 16949, or ISO 13485. - Experience with GD&T and advanced metrology tools. - Expertise in statistical analysis, SPC, and root-cause analysis. - Ability to travel domestically and internationally up to 15%. - Authorization to work in the USA. Bonus Points - Master of Science in Manufacturing Leadership, Industrial Engineering, or MBA. - Lean Six Sigma Black Belt (LSSBB), ASQ CQE, or CSQP certification. - Experience in robotics, automotive, aerospace, or advanced consumer electronics quality environments. Benefits - 401(k) plan with 6% company match. - Company stock options. - 100% company-paid medical, dental, vision, and disability insurance for employees. - Benefits effective on first day of employment. - Employee Assistance Program. - Flexible unlimited PTO for exempt employees. - Paid holidays including winter shutdown. - Catered lunches and on-site refreshments at select locations. - Paid parental leave. - Flexible work arrangements. - Professional development and tuition reimbursement. - Relocation assistance for eligible roles. - Annual discretionary bonus for eligible roles.

🏢 Summary: Staff Software Engineer role focused on architecting and building production-grade teleoperation systems for humanoid robots, enabling complex whole-body manipulation in real-world environments. The position involves developing low-latency real-time control, communication, and operator interface systems while collaborating across AI, controls, hardware, and operations teams. This hybrid U.S.-based role includes competitive compensation, equity, benefits, and opportunities to shape scalable humanoid robotics deployments. 🗂️ Requirements: 8+ years experience in robotics or real-time systems, Experience delivering production-quality software, Deep understanding of real-time control systems, Knowledge of motion retargeting, Knowledge of rigid body dynamics, Experience designing low-latency communication systems, Experience with real-time streaming systems, Strong debugging and analytical skills, Experience integrating VR or motion capture input systems, Ability to collaborate across technical teams, Current authorization to work in the United States 📃 Skills: Robotics, Teleoperation, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Networking, Streaming, Simulation, Debugging, Rendering, Visualization, NeRF, GaussianSplatting 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About The Role As a Staff Software Engineer on the AI team, you will architect and build production-quality teleoperation systems that enable Digit to execute complex whole-body manipulation tasks in real-world environments. You will work closely with AI, controls, hardware, and operations teams to create a scalable platform for high-quality human demonstration data collection. Your work will directly enable the scaling of a production humanoid robot fleet. About The Work - Own the end-to-end architecture of the teleoperation system, from operator input through real-time robot execution, ensuring low latency, predictable behavior, and clear system boundaries - Integrate and optimize real-time control, streaming, and communication paths to meet measurable latency and bandwidth targets - Design and implement scalable teleoperation interfaces, including VR, motion capture, and other modalities, to enable high-quality manipulation and locomotion demonstrations - Develop comprehensive validation strategies in simulation and on hardware, including performance benchmarks, fault handling, and regression testing - Analyze teleoperation and demonstration data to improve operator efficiency, system responsiveness, and task success rates - Anticipate future robot hardware and sensor changes, and design systems that can adapt to new interfaces and capabilities with minimal architectural disruption About You - 8+ years of experience in robotics or real-time systems, with a demonstrated track record of delivering reliable, production-quality software - Deep understanding of real-time control systems, motion retargeting, and rigid body dynamics - Experience designing low-latency communication and streaming systems for real-time applications - Strong systems intuition with the ability to trace performance issues across software, networking, and hardware boundaries - Strong analytical and debugging skills, with a data-driven approach to performance validation and system reliability - Hands-on experience integrating human input systems such as VR, motion capture, wearable devices, or other operator interfaces - Excellent communication skills and the ability to collaborate effectively across AI, controls, hardware, and operations teams Bonus Qualifications - Experience building applications with real-time rendering or XR frameworks such as Unity, Unreal, Godot, SteamVR, or OpenXR - Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods - Familiarity with large-scale data collection pipelines for learning from demonstration This is a hybrid position based out of one of the Salem, Pittsburgh, or Fremont offices. Anticipated Salary Range $222,000—$346,000 USD In addition to base pay, the total rewards package consists of the following for full-time employees: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees - Benefits eligibility starting on the first day of employment - Employee Assistance Program (EAP) - Flexible unlimited PTO and 12 company holidays for exempt employees - Vacation days, paid sick leave, and holidays for non-exempt employees - Catered lunches and snacks at Salem and Pittsburgh locations - Generous paid parental leave programs - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles Applicants must have current authorization to work in the United States. Agility Robotics is committed to equal employment opportunity and maintaining a professional work environment free from discrimination and harassment.

🏢 Summary: Staff Software Engineer role focused on architecting and building production-grade teleoperation systems for humanoid robots, enabling complex whole-body manipulation in real-world environments. The position involves designing low-latency, scalable interfaces and control pipelines that integrate AI, hardware, and real-time systems to support large-scale human demonstration data collection. This role directly contributes to scaling a production humanoid robot fleet through robust, high-performance software systems. 🗂️ Requirements: 8+ years of experience in robotics or real-time systems, Proven experience delivering production-quality software, Deep understanding of real-time control systems, Strong knowledge of motion retargeting and rigid body dynamics, Experience designing low-latency communication and streaming systems, Ability to debug performance issues across software, networking, and hardware, Hands-on experience with VR, motion capture, or other human input systems, Strong analytical and performance validation skills, Authorization to work in the United States 📃 Skills: Robotics, Teleoperation, Real-time, Control, Streaming, Networking, VR, MotionCapture, XR, Unity, Unreal, Godot, SteamVR, OpenXR, Rendering, Simulation, RigidBodyDynamics, MotionRetargeting, NeRF, GaussianSplatting 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, we're pioneering a new era of automation that enhances human potential.About The Role As a Staff Software Engineer on the AI team, you will architect and build production-quality teleoperation systems that enable Digit to execute complex whole-body manipulation tasks in real-world environments. You will work closely with AI, controls, hardware, and operations teams to create a scalable platform for high-quality human demonstration data collection. Your work will directly enable our ability to scale up the world's first production humanoid robot fleet and revolutionize the labor market. About The Work Own the end-to-end architecture of the teleoperation system, from operator input through real-time robot execution, ensuring low latency, predictable behavior, and clear system boundaries Integrate and optimize real-time control, streaming, and communication paths to meet measurable latency and bandwidth targets Design and implement scalable teleoperation interfaces, including VR, motion capture, and other modalities, to enable high-quality manipulation and locomotion demonstrations Develop comprehensive validation strategies in simulation and on hardware, including performance benchmarks, fault handling, and regression testing Analyze teleoperation and demonstration data to improve operator efficiency, system responsiveness, and task success rates Anticipate future robot hardware and sensor changes, and design systems that can adapt to new interfaces and capabilities with minimal architectural disruption About You 8+ years of experience in robotics or real-time systems, with a demonstrated track record of delivering reliable, production-quality software Deep understanding of real-time control systems, motion retargeting, and rigid body dynamics Experience designing low-latency communication and streaming systems for real-time applications Strong systems intuition with the ability to trace performance issues across software, networking, and hardware boundaries Strong analytical and debugging skills, with a data-driven approach to performance validation and system reliability Hands-on experience integrating human input systems such as VR, motion capture, wearable devices, or other operator interfaces Excellent communication skills and the ability to collaborate effectively across AI, controls, hardware, and operations teams Bonus Qualifications Experience building applications with real-time rendering or XR frameworks such as Unity, Unreal, Godot, SteamVR, or OpenXR Experience with advanced 3D visualization techniques such as neural radiance fields, Gaussian splatting, or other scene reconstruction methods Familiarity with large-scale data collection pipelines for learning from demonstration This a hybrid position based out of one of our Salem, Pittsburgh, or Fremont offices. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: market location, job-related knowledge, skills, and experience. This range may change based on geographical location and may be modified in the future.Anticipated Salary Range$190,000—$296,000 USDIn addition to base pay, our competitive total rewards package consists of the following for full-time employees: 401(k) Plan: Includes a 6% company match. Equity: Company stock options. Insurance Coverage: 100% company-paid medical, dental, vision, and short/long-term disability insurance for employees. Benefit Start Date: Eligible for benefits on your first day of employment. Well-Being Support: Employee Assistance Program (EAP). Time Off: Exempt Employees: Flexible, unlimited PTO and 10 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 10 company holidays, including a winter shutdown, annually. On-Site Perks: Catered lunches four times a week and a variety of healthy snacks and refreshments at our Salem and Pittsburgh locations. Parental Leave: Generous paid parental leave programs. Work Environment: A culture that supports flexible work arrangements. Growth Opportunities: Professional development and tuition reimbursement programs. Relocation Assistance: Provided for eligible roles. Annual Discretionary Bonus: Provided for eligible roles. All of our roles are U.S.-based. Applicants must have current authorization to work in the United States. Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity. Each individual has the right to work in a professional atmosphere that promotes equal employment opportunities and prohibits unlawful discriminatory practices, including harassment. Therefore, it is the policy of Agility Robotics to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, age, disability, marital status, citizenship, national origin, genetic information, or any other characteristic protected by law. Agility Robotics prohibits any such discrimination or harassment. Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies. We prioritize direct applicants and encourage all qualified candidates to apply directly through our careers page. If you are represented by a third party, your application may not be considered. To ensure full consideration, please apply directly. Apply Now: https://grnh.se/b444bbd04us

🏢 Summary: Staff NPI Manufacturing Engineer responsible for leading the transition of electromechanical products from prototype through pilot builds into scaled production. The role drives manufacturability, quality, and testability across subassemblies while partnering cross-functionally to ensure successful production launches. Focus areas include DFM/DFA/DFT, process validation, yield improvement, and supply chain readiness in NPI environments. 🗂️ Requirements: Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or related field, 7+ years of relevant engineering experience, 5+ years in manufacturing assembly for electromechanical or embedded systems, Hands-on experience in NPI environments on the manufacturing floor, Experience transitioning products from development through PVT to end of life, Experience with manufacturing test requirements and test stand development, Knowledge of FMEA, ECO processes, and PLM systems, Experience supporting EMS/CM partners and supply chain readiness, Authorization to work in the United States 📃 Skills: DFM, DFA, DFT, SPC, Lean, SixSigma, FMEA, ECO, PLM, Altium, Creo, HALT, PVT, EVT, DVT 🏢 Description: Agility's commercially deployed humanoids operate alongside teams in warehouses, manufacturing facilities, and distribution centers—tackling physically demanding and repetitive tasks while enabling workers to focus on higher-value work. With industry-leading safety standards and years of proven deployment data, the company is pioneering a new era of automation that enhances human potential. About the Role We're looking for a Staff NPI Manufacturing Engineer to lead the transition of innovative, electromechanical designs from prototype through pilot builds into scaled production. This role focuses on new product introduction (NPI) and is critical in ensuring manufacturability, quality, and testability across electromechanical subsystems and sub-assemblies including hardware, sensors, actuators, cables, and integration modules. This is a highly cross-functional role, partnering with electrical and mechanical design, test engineering, quality, and supply chain—along with EMS and mechanical suppliers—to ensure rapid, repeatable, and high-quality production launches. About the Work - Lead NPI activities across multiple product lines, managing the transition from design to production for various electromechanical subassemblies. - Own DFM/DFA/DFT efforts during early design phases to influence product architecture and ensure manufacturing scalability. - Develop and release work instructions, BOMs, process flows, test procedures, and fixture/tooling designs across prototype and pilot builds. - Drive build readiness, supporting Proto/EVT/DVT/PVT activities including line bring-up, process validation, and pilot build execution. - Troubleshoot and resolve issues at the sub-system and system level, conducting structured root cause analysis for mechanical or electrical issues. - Partner with EMS providers and component suppliers to drive first-pass yield, throughput, and process capability. - Support yield improvements and cost reduction through data analysis and process optimization using SPC, lean, and 6 sigma tools. - Contribute to environmental, reliability, and lifecycle testing plans and setups (e.g., burn-in, thermal cycling, HALT). - Develop, review, and release manufacturing specifications, drawings, BOMs, processes, SOPs, equipment, workflows, and tools/fixtures for new products to support high-quality production. - Collaborate with suppliers and contract manufacturers to ensure effective qualification, process capabilities, and material disposition. - Document processes clearly and communicate effectively across teams. About You - Bachelor's degree in Mechanical Engineering, Electrical Engineering, Manufacturing Engineering, or a related field, with 7+ years of relevant experience. - 5+ years in manufacturing assembly for electromechanical or embedded systems products; experience in NPI environments directly working on the manufacturing floor is highly preferred. - Hands-on experience in supporting and troubleshooting the design, assembly, and testing of electro-mechanical systems utilizing data analysis and lean methods. - Experience in transitioning products and processes from development to production (NPI), including into Production Validation Testing (PVT) through to end of life (EOL). - Familiarity with creating manufacturing test requirements, test stand equipment development, validation testing, Engineering Change Order (ECO) production release, and training engineers, production staff, and suppliers/CMs. - Proficiency with Altium and/or Creo is a significant plus, along with mechanical design knowledge to create and release test fixtures. - Experience supporting EMS/CM partners and driving supply chain readiness. - Working knowledge of FMEA, ECO processes, PLM systems, and design validation best practices. - Excellent communication, technical documentation, and collaboration skills. Benefits Anticipated Base Salary Range: $144,000—$186,000 USD In addition to base pay, the competitive total rewards package for full-time employees includes: - 401(k) plan with 6% company match - Company stock options - 100% company-paid medical, dental, vision, and short/long-term disability insurance - Benefits eligibility from first day of employment - Employee Assistance Program (EAP) - Flexible, unlimited PTO for exempt employees or 10 vacation days plus paid sick leave for non-exempt employees - 12 company holidays including a winter shutdown - Catered lunches and on-site snacks - Generous paid parental leave - Flexible work arrangements - Professional development and tuition reimbursement programs - Relocation assistance for eligible roles - Annual discretionary bonus for eligible roles All roles are U.S.-based. Applicants must have current authorization to work in the United States.

🏢 Summary: Senior Product Designer, Motion role focused on defining and coding motion systems and AI-first interaction patterns across a large-scale SaaS platform. The position drives evolution of the design system by creating scalable motion patterns, prototypes, and visual frameworks in close collaboration with engineering and product teams. It emphasizes hands-on design, coding, and AI-assisted workflows to shape future-facing user experiences. 🗂️ Requirements: 7+ years of product design experience, Minimum 1 year working with design systems, Strong portfolio in product and interaction design, Experience designing and coding motion systems, Proficiency in front-end technologies (HTML, CSS, React, SVG), Experience with AI-assisted design workflows, Advanced prototyping experience, Ability to collaborate closely with engineering teams 📃 Skills: Motion, DesignSystems, InteractionDesign, Prototyping, Figma, HTML, CSS, React, SVG, AI, Cursor, Claude 🏢 Description: We’re looking for a Senior Product Designer, Motion to innovate and implement how motion and AI-first interaction functions across Datadog’s products and contribute to the visual design evolution of Datadog’s design system. In this role you’ll bring expertise in motion design to reinforce clarity, express system intelligence, and elevate craft throughout the product. Design Lab operates at the intersection of engineering and design, focused on advancing craft and building shared design capabilities that enable exceptional experiences at scale. You’ll partner closely with design systems and product teams to push the visual language forward while ensuring it scales across one of the most complex SaaS platforms in the industry. This is an exciting role for a creative product builder who embraces new technologies to explore and shape the future of how we design at scale. In this role, you’re not limited to one medium, you will use pixels, code, and AI to advance the design language of Datadog, contribute to the design system, define patterns, evolve design tooling, and influence excellence across multiple products. This role is well suited for someone excited about empowering teams through systems and raising the bar for motion design and visual craft across the product ecosystem. Your work will impact every part of our ecosystem, including driving the future of user experience with AI tools and prototyping. This is not a maintenance or governance role. It’s a future-facing role for a designer with strong visual taste, a point of view, and the ability to bring others along. Our team thrives on strong cross-functional relationships, thoughtful critique, and high standards. 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: Evolve Datadog’s visual design direction at the system level, defining new motion experience patterns and interaction models Design and code the motion system for the design system, including motion tokens, component behaviors, transitions, and icon illustrations Prototype and iterate on new visual ideas with AI-assisted workflows Partner with Brand and Product Design to align product visuals with Datadog’s broader design language Work closely with the Design Systems engineering team to ensure high-quality implementation and code quality Who You Are: You are a designer who embraces new technologies, including code and AI You have 7+ years of experience in product design with at least 1+ of those years focused on or working closely with design systems Your portfolio includes a proven track record of excellent design craft (product and platform) and interaction design You’re fluent in how design intersects with front-end technologies (HTML, CSS, React, SVG, AI-first tooling) You are an excellent visual and written communicator, able to clearly communicate your design work and the support for your design decisions You have experience with advanced prototyping tools (e.g. Figma, Cursor, Claude, etc) You give and receive feedback well, supporting and improving the work of your colleagues as well as your own Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply. Benefits and Growth: New hire stock equity (RSUs) and employee stock purchase plan (ESPP) Continuous professional development, product training, and career pathing Intradepartmental mentor and buddy program for in-house networking An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups) Access to Inclusion Talks, our internal panel discussions Free, global mental health benefits for employees and dependents age 6+ Competitive global benefits Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog. #LI-HybridDatadog offers a competitive salary and equity package, and may include variable compensation. Actual compensation is based on factors such as the candidate's skills, qualifications, and experience. In addition, Datadog offers a wide range of best in class, comprehensive and inclusive employee benefits for this role including healthcare, dental, parental planning, and mental health benefits, a 401(k) plan and match, paid time off, fitness reimbursements, and a discounted employee stock purchase plan.The reasonably estimated yearly salary for this role at Datadog is:$157,000—$205,000 USD About Datadog: Datadog (NASDAQ: DDOG) is a global SaaS business, delivering a rare combination of growth and profitability. We are on a mission to break down silos and solve complexity in the cloud age by enabling digital transformation, cloud migration, and infrastructure monitoring of our customers’ entire technology stacks. Built by engineers, for engineers, Datadog is used by organizations of all sizes across a wide range of industries. Together, we champion professional development, diversity of thought, innovation, and work excellence to empower continuous growth. Join the pack and become part of a collaborative, pragmatic, and thoughtful people-first community where we solve tough problems, take smart risks, and celebrate one another. Learn more about #DatadogLife on Instagram, LinkedIn, and Datadog Learning Center. Equal Opportunity at Datadog: Datadog is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and other characteristics protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Here are our Candidate Legal Notices for your reference. Datadog endeavors to make our Careers Page accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please complete this form. This form is for accommodation requests only and cannot be used to inquire about the status of applications. Privacy and AI Guidelines: Any information you submit to Datadog as part of your application will be processed in accordance with Datadog’s Applicant and Candidate Privacy Notice. For information on our AI policy, please visit Interviewing at Datadog AI Guidelines.

🏢 Summary: Senior verification engineering role focused on AI accelerator IP and SoC verification, developing scalable verification infrastructure, automation, and test environments for next-generation AI/ML computing platforms. The position involves cross-functional collaboration with architects, RTL, compiler, and simulation engineers to validate functionality and performance of complex hardware systems. 🗂️ Requirements: Bachelor’s degree with 10+ years, Master’s degree with 8+ years, or PhD with 5+ years of industry experience, Strong SoC or IP verification experience, Experience with UVM and SystemVerilog testbench development, Proficiency in C/C++, Proficiency in Perl or Python scripting, Experience verifying IP blocks, dies, SoCs, and full systems from scratch, Strong RTL understanding and debugging skills, Background in microarchitecture and computer architecture, Ability to work cross-functionally with engineering teams, Excellent analytical and problem-solving skills 📃 Skills: UVM, SystemVerilog, C, C++, Perl, Python, RTL, SoC, FPGA, AI, ML, Emulation 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. Join us in our passion to shape the future of computing! Location: Daily onsite presence at our San Jose, CA office / U.S. headquarters in alignment with our Flexible Work policy. What You'll Do - Develop the verification infrastructure and automation environment involved in build, simulation, regression and triages. - Lead the verification for IP blocks of an AI accelerator by working with architects and RTL engineers. - Create direct or random testbench, define verification scope and test plans for both functional and performance validation, close the verification quality metrics. - Provide comprehensive documentation of verification strategy and ensure test environment is easy to use. - Mentor junior engineers when necessary. - Work cross-functionally in debugging failures with design, compiler and simulation engineers. What You Bring - Bachelor's with 10+ years, or Master's with 8+ years, or PhD's with 5+ years of industry experience. - Strong background in SoC or IP verification and test bench development using UVM, System Verilog, C/C++ and scripting languages such as Perl/Python. - Experience verifying at multiple levels of logic from scratch, starting from complex IP blocks to dies to SoCs to full system testing. - Understanding RTL and strong overall debugging skills. - Prior experience with computational logic, interconnect networks and/or memory system is desirable. - Strong background in microarchitecture and computer architecture preferably in the area of AI accelerators. - Knowledge of FPGA and emulation platforms preferred. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Ability to work independently and as part of a team. - You're inclusive, adapting your style to the situation and diverse global norms of our people. - An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding. - You're collaborative, building relationships, humbly offering support and openly welcoming approaches. What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. - Charitable giving match and community involvement opportunities. - 4+ weeks of paid time off plus holidays and sick leave. - Fertility care or adoption stipend, medical travel support, and virtual vet care. - On-demand wellness apps and confidential therapy sessions. - Onsite café and gym plus virtual fitness classes. - Flexible work environment. Base Pay Range: $163,000—$253,000 USD Equal Opportunity Employment Policy Samsung Semiconductor takes pride in being an equal opportunity workplace dedicated to fostering an environment where all individuals feel valued and empowered to excel. Our Commitment to Innovation and Fairness AI tools may be used in the recruitment process as support tools, but hiring decisions are made by human recruiting teams and hiring managers. Applicant AI Use Policy Candidates may use AI tools for preparation, grammar, and research, but not for generating submitted content or live interview responses. Trade Secret Notice By submitting an application, candidates agree not to disclose confidential or proprietary information belonging to current or former employers or other entities.

🏢 Summary: Design and deploy learning-based manipulation systems for humanoid and mobile robots, leveraging foundation models and advanced generative control methods. The role focuses on sim-to-real transfer, digital twins, teleoperation data pipelines, and robust closed-loop visuomotor policy deployment in production environments. You will work on scalable robotics infrastructure to enable reliable, real-world robotic manipulation at scale. 🗂️ Requirements: Experience training embodied AI policies for real robots, Experience with transformer-based action models, Experience with diffusion policies or generative control methods, Experience adapting or fine-tuning large-scale multimodal/foundation models, Ability to deploy and optimize models on real robotic systems, Strong understanding of sim-to-real transfer challenges, Experience with multi-modal inputs (vision, proprioception, language), Proficiency in Python, Proficiency in deep learning frameworks, Experience integrating learned policies with real-time control systems, Strong experimental design and debugging skills 📃 Skills: Python, PyTorch, JAX, IsaacSim, MuJoCo, Transformers, Diffusion, ACT, VLA, Pi0, Gemini, Robotics, Teleoperation, Visuomotor, Simulation 🏢 Description: Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. About the team: The Software Engineering Team builds and operates the systems that power Formic's Robotics-as-a-Service platform. Engineering focuses on ensuring deployed systems are observable, resilient, and remotely diagnosable at scale. The team builds production-grade edge and cloud systems that support reliable data collection, remote troubleshooting, live video streaming, and continuous system improvement. This work directly impacts fleet uptime, service efficiency, and customer outcomes by ensuring Formic's monitoring and control infrastructure remains scalable, reliable, and continuously evolving. In this role you will: - Design and train learning-based manipulation systems for humanoid and mobile manipulation platforms - Develop and maintain high-fidelity digital twins using Isaac Sim, MuJoCo, or similar tools - Implement and evaluate approaches such as: - Action Chunking with Transformers (ACT) - Diffusion Policies - Behavior Cloning at Scale - Vision-Language-Action (VLA) models - Latent action or hierarchical skill models - Work with modern foundation models for robotics (e.g., Pi0, Gemini ER 1.6 or similar), including adapting, fine-tuning, and deploying them for real-world tasks - Contribute to development of a Universal Manipulation Interface (UMI) abstraction layer - Build teleoperation-to-training data pipelines - Design sim-to-real transfer strategies including domain randomization and system identification - Evaluate policy robustness, generalization, and real-world performance - Work closely with perception and controls teams to ensure stable closed-loop visuomotor policies - Deploy, tune, and iterate on models running on real robotic systems in production environments What makes you a great fit: - Experience training embodied AI policies for real robots - Familiarity with transformer-based action models (e.g., ACT) - Experience with diffusion policies or other generative control methods - Experience working with or adapting large-scale models (e.g., Pi0, Gemini ER 1.6, or similar VLA / multimodal models) - Ability to deploy, fine-tune, and optimize models for real-world robotic systems (latency, robustness, reliability) - Strong understanding of sim-to-real challenges - Experience working with multi-modal inputs (vision, proprioception, language) - Proficiency in Python and deep learning frameworks (PyTorch, JAX, etc.) - Experience integrating learned policies with real-time control systems - Strong experimental design, evaluation, and debugging skills Our Total Rewards: - Equity in Formic - Competitive & Uncapped Commission Structure (for commission-eligible roles) - Comprehensive Healthcare Coverage (medical, dental, vision) - FSA and DCFSA - Life insurance - Short-term and long-term disability insurance - Employee Assistance Program (EAP) - Paid Parental Leave (up to 12 weeks) - Company-sponsored 401(k) - Home Office Stipend - Monthly Cell Phone Reimbursement - Flexible Time Off Compensation Philosophy Formic's pay and equity packages are benchmarked against peer companies at a similar growth stage. Equity represents a meaningful part of the mutual investment. Final offers are customized based on experience, geographic location, market considerations, and preferred balance of cash and equity. Compensation Range: $145,000—$200,000 USD What we look for: We value candidates who align with the company’s operating principles, take ownership, think from first principles, act with urgency, collaborate across teams, and demonstrate resilience and optimism while building scalable systems. Equal Opportunity Employment: Formic is an equal opportunity employer. Employment decisions are based on merit, business needs, and role requirements. AI Use: AI-powered tools may be used during parts of the interview process, with final hiring decisions made by humans.

🏢 Summary: Senior Engineer role focused on developing and optimizing RTL IP for memory-centric computing systems supporting advanced AI/ML workloads. The position involves hardware-software co-design, microarchitecture development, SOC integration, and performance optimization for next-generation AI systems. 🗂️ Requirements: Bachelor's degree with 10+ years of experience, Master's with 8+ years, or PhD with 5+ years, Strong background in microarchitecture and computer architecture, 5+ years of RTL front-end design methodology experience, Experience developing complex control and datapath IPs, Experience with Memory Controller, NOC, and Interconnect IP design, Experience with memory-centric computing IP and SOC integration, Experience with AI/ML workloads, Strong analytical and problem-solving skills, Excellent communication and interpersonal skills, Ability to work independently and collaboratively 📃 Skills: Verilog, SystemVerilog, HLS, RTL, Microarchitecture, SoC, NOC, Interconnect, AI, ML 🏢 Description: Please Note: To provide the best candidate experience amidst our high application volumes, each candidate is limited to 10 applications across all open jobs within a 6-month period. Advancing the World's Technology Together Our technology solutions power the tools you use every day--including smartphones, electric vehicles, hyperscale data centers, IoT devices, and so much more. Here, you'll have an opportunity to be part of a global leader whose innovative designs are pushing the boundaries of what's possible and powering the future. We believe innovation and growth are driven by an inclusive culture and a diverse workforce. We're dedicated to empowering people to be their true selves. Together, we're building a better tomorrow for our employees, customers, partners, and communities. The AGI (Artificial General Intelligence) Computing Lab is dedicated to solving the complex system-level challenges posed by the growing demands of future AI/ML workloads. Our team is committed to designing and developing scalable platforms that can effectively handle the computational and memory requirements of these workloads while minimizing energy consumption and maximizing performance. To achieve this goal, we collaborate closely with both hardware and software engineers to identify and address the unique challenges posed by AI/ML workloads and to explore new computing abstractions that can provide a better balance between the hardware and software components of our systems. Additionally, we continuously conduct research and development in emerging technologies and trends across memory, computing, interconnect, and AI/ML, ensuring that our platforms are always equipped to handle the most demanding workloads of the future. By working together as a dedicated and passionate team, we aim to revolutionize the way AI/ML applications are deployed and executed, ultimately contributing to the advancement of AGI in an affordable and sustainable manner. We are looking for a Senior Engineer, RTL Memory Centric Computing. This role is being offered under the AGICL lab as a part of DSRA. We are a research-driven systems lab working at the intersection of large language models, accelerator hardware, and high-performance software stacks. Our mission is to design, prototype, and optimize next-generation AI systems through tight hardware–software co-design. What You'll Do - Develop IP for memory centric computing systems using Verilog, System Verilog and HLS - Optimize the IP for performance, power, and area by leveraging advanced design techniques such as pipelining, parallelism, and data compression - Collaborate with Verification engineers to design and develop test plans - Make design decisions out of a large design trade-off space across performance, power, thermal, and cost - Troubleshoot and debug hardware issues and ensure the quality of the design through verification and validation - Stay up-to-date with the latest advancements in machine learning and hardware architecture and contribute to the development of new technologies - Communicate effectively with stakeholders, including users, partners, and management, to ensure that the systems are delivered on time and within budget - Complete other responsibilities as assigned What You Bring - Bachelor's with 10+ years, or Master's with 8+ years, or PhD's with 5+ years of industry experience - Strong background in microarchitecture and computer architecture - 5+ years of experience in front-end design methodology involving RTL development for complex control and data path IPs - Experience in designing Memory Controller, NOC, Interconnect IP - Experience in Memory Centric computing IP and SOC integration - Experience in AI/ML workloads - Strong analytical and problem-solving skills - Excellent communication and interpersonal skills - Ability to work independently and as part of a team - You're inclusive, adapting your style to the situation and diverse global norms of our people - An avid learner, you approach challenges with curiosity and resilience, seeking data to help build understanding - You're collaborative, building relationships, humbly offering support and openly welcoming approaches - Innovative and creative, you proactively explore new ideas and adapt quickly to change What We Offer The pay range below is for all roles at this level across all US locations and functions. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. We also offer incentive opportunities that reward employees based on individual and company performance. This is in addition to our diverse package of benefits centered around the wellbeing of our employees and their loved ones. - Give Back with a charitable giving match and frequent opportunities to get involved in supporting the community - Enjoy Time Away with 4+ weeks of paid time off a year, plus holidays and sick leave - Care for Family including fertility care or adoption support, medical travel support, and virtual vet care - Prioritize Emotional Wellness with on-demand apps and free confidential therapy sessions - Stay Fit with onsite café and gym, plus virtual classes - Embrace Flexibility through a flexible work environment Base Pay Range $163,000—$253,000 USD