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At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society. Job Summary The Senior Robotics Automation Engineer is a highly experienced technical leader responsible for advancing the design, integration, optimization, and long-term operational strategy of robotic and automated laboratory systems within the Smart Research Laboratory. This role requires deep expertise in laboratory automation, engineering principles, scientific workflows, and biopharma research operations, combined with the ability to influence technical direction, guide cross-functional decision-making, and mentor less experienced engineers and scientists. This individual will play a critical role in shaping automation strategy, evaluating emerging technologies, translating scientific needs into scalable automation solutions, and ensuring that robotic systems deliver reliable, precise, and high-quality performance in support of advanced drug discovery and research innovation. In addition to hands-on technical execution, the Senior Robotics Automation Engineer will provide strategic guidance on system architecture, workflow design, vendor selection, platform sustainability, risk mitigation, and continuous improvement of automated laboratory capabilities. The role requires regular on-site presence due to the highly integrated, hands-on nature of laboratory robotics, instrumentation, scientific equipment, and automation workcell operations. Job Description Responsibilities Lead the design, implementation, testing, optimization, and lifecycle management of complex robotic and automated laboratory workcells, including integrated hardware, software, instrumentation, scheduling, and control systems. Serve as a senior technical authority for laboratory automation platforms, providing expert guidance on system architecture, workflow design, equipment selection, integration strategy, operational scalability, and long-term platform reliability. Partner with scientific, engineering, informatics, facilities, IT, and operational stakeholders to translate complex research needs into robust, scalable, and sustainable automated solutions that improve laboratory productivity, data quality, reproducibility, and research throughput. Evaluate, integrate, configure, troubleshoot, and maintain advanced laboratory automation systems, including liquid handlers, dispensers, pipettors, plate movers, robotic arms, plate sealers and desealers, acoustic transfer devices, multimodal assay readers, incubators, storage systems, and related scientific instrumentation. Develop, review, and optimize automation methods using orchestration and instrument-control platforms such as Momentum, Venus, InstinctS, and related automation APIs, ensuring methods are reliable, maintainable, validated, and aligned with scientific requirements. Provide senior-level oversight for method development, hardware integration testing, system validation, risk assessment, troubleshooting, and performance optimization across automated laboratory workflows. Lead or significantly contribute to automation roadmap planning, technology assessments, vendor evaluations, equipment acquisition decisions, and strategic recommendations that shape the future capabilities of the Smart Research Laboratory. Collaborate with external vendors and internal stakeholders to implement advanced robotics capabilities, including motion planning, multi-axis actuation, control systems, autonomous mobile robotics, device communication, and integration of novel automation technologies. Guide the validation, deployment, and continuous improvement of Autonomous Mobile Robot systems and other emerging automation platforms, ensuring safe, reliable, and effective operation within a research laboratory environment. Mentor junior automation engineers, scientists, and cross-functional users by providing technical coaching, training, design review, troubleshooting support, and best-practice guidance for automated workflows and robotic systems. Establish and maintain high-quality technical documentation, including system designs, integration plans, validation records, risk assessments, maintenance procedures, troubleshooting guides, and workflow specifications. Lead complex problem-solving efforts in a fast-paced research environment, balancing immediate operational needs with long-term platform strategy, system sustainability, safety, and scientific impact. Drive continuous improvement initiatives that increase automation reliability, reduce operational bottlenecks, improve assay execution quality, and expand the organization's ability to adopt advanced automated research capabilities. Qualifications Education Qualifications Bachelor's Degree in science, engineering, robotics, automation, computer science, life sciences or a related field required Advanced degree (M.S. or Ph.D.) is preferred Experience Qualifications Requires 5-7 years of hands-on experience designing, integrating, programming, validating, maintaining, and optimizing automated laboratory equipment, robotic systems, or complex scientific instrumentation in a research or biopharma environment Prior experience in biopharma, pharmaceutical, biotechnology, drug discovery, translational research, or advanced laboratory automation environment is required Demonstrated ability to lead technically complex automation projects from concept through implementation, including requirements gathering, design evaluation, vendor coordination, installation, integration, testing, validation, documentation, user training, and operational handoff. Advanced experience with laboratory automation platforms and orchestration software such as Hamilton Venus, Thermo Scientific Momentum, InstinctS, or comparable automation-control environments. Strong working knowledge of laboratory robotics, instrument communication, scheduling systems, device APIs, mechanical and electrical integration, liquid handling principles, assay workflow automation, and system-level troubleshooting. Experience developing or supporting software tools, scripts, APIs, or applications using modern programming languages such as Python, Java, C#, or comparable languages to improve automation performance, data handling, system monitoring, or workflow control. Proven ability to partner with scientific teams to identify high-value automation opportunities, evaluate technical feasibility, define requirements, and deliver solutions that support research quality, throughput, reproducibility, and innovation. Experience influencing technical decisions, guiding platform strategy, mentoring colleagues, and providing senior-level recommendations to scientific, operational, and leadership stakeholders. Daiichi Sankyo, Inc. is an equal opportunity/affirmative action employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law. Salary Range: USD$136,080.00 - USD$204,120.00 Download Our Benefits Summary PDF

Job Description Job Description About Cyngn Based in Mountain View, CA, Cyngn is a publicly-traded autonomous technology company. We deploy self-driving industrial vehicles like forklifts and tuggers to factories, warehouses, and other facilities throughout North America. To build this emergent technology, we are looking for innovative, motivated, and experienced leaders to join us and move this field forward. If you like to build, tinker, and create with a team of trusted and passionate colleagues, then Cyngn is the place for you. Key reasons to join Cyngn: We are small and big. With under 100 employees, Cyngn operates with the energy of a startup. On the other hand, we're publicly traded. This means our employees not only work in close-knit teams with mentorship from company leaders-they also get access to the liquidity of our publicly-traded equity. We build today and deploy tomorrow. Our autonomous vehicles aren't just test concepts-they're deployed to real clients right now. That means your work will have a tangible, visible impact. We aren't robots. We just develop them. We're a welcoming, diverse team of sharp thinkers and kind humans. Collaboration and trust drive our creative environment. At Cyngn, everyone's perspective matters-and that's what powers our innovation. About this role: Cyngn builds autonomous industrial vehicle solutions that run in real warehouses and outdoor yards-not demos. As a Robotics Integration Engineer (Mid-Junior) , you'll help bring autonomy to life by integrating hardware + sensors + vehicle software into a reliable, production-ready stack. This is a hands-on role working with Linux systems , real sensors, and real vehicles-partnering closely with senior robotics, autonomy, and platform engineers to ship systems that are stable, debuggable, and performant in industrial environments. Responsibilities Integrate and validate sensors such as LiDAR, cameras, IMU/GNSS , and other vehicle hardware. Own mission-critical system pieces: state management , health monitoring, diagnostics, logging, and fleet-ready tooling. Work on vehicle communications including CAN bus (interfaces, message handling, reliability, basic ECU/firmware touchpoints). Build and maintain the glue that makes the stack work: drivers, bring-up scripts, config management, calibration workflows , and time synchronization basics. Troubleshoot complex issues across hardware + software + networking (timing drift, dropped frames, driver issues, flaky connections, bandwidth constraints). Profile and optimize performance for real-time-ish workloads (high-bandwidth sensor streams, CPU/memory bottlenecks, startup stability). Help create and maintain integration tests and validation workflows (reproducible tests, automated checks, regression catches, log replay). Collaborate across perception, localization, controls, and product teams to integrate systems cleanly and ship improvements quickly. Write clear documentation for integration procedures, system configuration, and "how to debug this when it breaks." Qualifications 2-4+ years in robotics integration, autonomy, embedded/systems engineering, or adjacent experience working close to hardware. Strong programming ability in: C++ (systems/performance -critical code) Python (tooling, automation, integration glue) Shell scripting (Linux workflows, debugging, automation) Solid experience with Linux (Ubuntu) , including building, packaging, and running systems in the field. Comfort with sensor + hardware bring-up (drivers, calibration workflows, time sync concepts, logs, reproducible setup). Understanding of networking fundamentals (TCP/UDP, bandwidth/latency tradeoffs, basic multicast, and debugging with common tools). Strong debugging instincts: you can form a hypothesis, gather evidence, and drive to root cause across layers. Clear communicator with good documentation habits and a low-ego, team-first approach. Bonus Qualifications Experience with ROS 2 (nodes, launch, TF2, bags, QoS) or other robotics middleware frameworks. Experience with CAN tooling (SocketCAN, DBC workflows) and/or ECU/firmware update flows. Experience with containerized deployments (e.g., Docker) or production deployment patterns on vehicles. Familiarity with profiling tools (perf, top/htop, valgrind, gdb) and performance tuning. Exposure to OTA / device management systems (e.g., AWS Greengrass) or fleet rollout practices. Understanding of safety-oriented development practices (fault handling, watchdogs, redundancy concepts). Experience with simulation environments (e.g., NVIDIA Isaac Sim , Gazebo, or similar) for integration and regression testing. CI/CD experience for robotics stacks (automated builds/tests, hardware-in-the-loop or log replay workflows). Benefits & Perks Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge) Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums) Company 401(k) Commuter Benefits Flexible vacation policy Remote or hybrid work opportunities Sabbatical leave opportunity after 5 years with the company Paid Parental Leave Daily lunches for in-office employees Monthly meal and tech allowances for remote employees Please note salary range is for Bay Area residents - we're still accepting remote applicants! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description RETHINK MANUFACTURING The only way to ignite change is to build the best team. At Bright Machines , we're innovators and experts in our craft who have joined together to manufacture the AI and data center infrastructure at the edge. We believe unifying software, intelligent automation, and data is the answer to delivering quality and flexibility at scale. We deliver products to meet the demands of today while continuously investing in our Bright Factory model to take advantage of what comes next. Working with us means you'll have the opportunity to make lasting, impactful changes for our company and our customers. If you're ready to apply your exceptional skills to a brighter way of manufacturing AI infrastructure, we'd love to speak with you. ABOUT THE ROLE As a senior Robot Perception Engineer on the Smart Robotics team at Bright Machines, you will be a hands-on senior contributor responsible for productizing visual inspection solutions for our automation platform. You will own the full pipeline-from algorithm development to production deployment-turning prototype inspection capabilities into reliable, high-throughput features that operate at scale across our automation lines. In this role, you will develop and optimize computer vision and deep learning models for defect detection, classification, and visual validation. You will collaborate closely with cross-functional teams, including Mechanical Engineering and Manufacturing Operations, to design end-to-end inspection solutions that deliver consistent, accurate results under real-world factory conditions. Additionally, you will have the opportunity to shape the inspection product roadmap and drive the adoption of cutting-edge machine learning techniques in an industrial setting. WHAT YOU WILL BE DOING Develop and optimize visual inspection algorithms for defect detection, anomaly detection, classification, and quality validation using deep learning Optimize model inference for GPU deployment, leveraging CUDA, TensorRT, and related acceleration frameworks Collaborate with Mechanical engineers to design illumination setups that maximize inspection accuracy and robustness Build and maintain data pipelines for model training, evaluation, and continuous improvement Partner with platform team to establish MLOps practices for model versioning, experiment tracking, automated retraining, and production model monitoring Harden inspection solutions for production reliability, including monitoring, alerting, and graceful degradation Work with service engineering and field teams to deploy inspection solutions and support customer rollouts Define metrics and benchmarks to measure inspection accuracy, throughput, and reliability WHAT YOU WILL BRING MS or PhD in Computer Science, Electrical Engineering, or a related field, or the equivalent in experience with evidence of exceptional ability. 5+ years of relevant experience in computer vision and/or machine learning Strong programming skills in Python Deep experience with PyTorch for model development and training Experience optimizing ML models for GPU inference in production environments Track record of shipping ML/CV models from prototype to production Experience with image acquisition, camera systems, and sensor integration IT WOULD BE GREAT IF YOU HAD Knowledge of lighting and optics for machine vision (diffuse/directional illumination, lens and filters) Experience with industrial camera systems and standards (GigE Vision, GenICam, CoaXPress) C/C++ experience for performance-critical components Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, or similar) Experience with data annotation, labeling workflows, and active learning strategies Experience with ROS2 Understanding of manufacturing processes and quality control methodologies Publications or patents in computer vision, deep learning, or related fields BE EMPOWERED TO CHANGE AN INDUSTRY Bright Machines is a next-generation, AI-enabled manufacturer focused on data center infrastructure production. Bright Machines uses its proprietary AI-based robotics and software to assemble AI infrastructure hardware products (i.e., data center servers) for hyperscalers, neoclouds, and leading Original Equipment Manufacturers (OEMs) to reduce their time to revenue. With its Bright Factory model, Bright Machines builds higher quality data center infrastructure at scale, addresses increasing market demands for computing power due to the surge of AI, and answers the call to the U.S. national mandate to reshore manufacturing. Bright Machines is headquartered in San Francisco, California, with an integration center in Guadalajara, Mexico. The company has been recognized as one of Forbes' AI 50, awarded "Best AI-based Solution for Manufacturing" by AI Breakthrough, named a "Technology Pioneer" by the World Economic Forum, and highlighted by several other leading technology and innovation organizations.

Job Description Job Description Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential. In this role, you will: Develop, coordinate, and execute verification and validation test plans for Pose monitors using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments. Analyze and triage pipeline results that contribute to key launch-blocking metrics for software and system releases. Collaborate with cross-functional teams, including software developers, hardware engineers, systems engineers, simulation developers, and safety experts, to identify and mitigate risks. Track and report test campaign results to demonstrate feature readiness during safety clearance for each Zoox milestone. Develop metrics and performance benchmarks for V&V campaigns, driving continuous improvement of test coverage and efficiency. Contribute to the development of risk analysis models to quantify behavioral risk when testing gaps exist. Qualifications MS or higher degree in a technical field, such as Mechatronics, Mechanical, Electrical, Aerospace, or Systems Engineering. 5+ years of hands-on systems integration and validation experience (simulation testing, SIL/HIL testing, structured testing, and end-to-end product validation) with a focus on delivering complex systems to production. Proficiency in Python for data analysis, test scripting, and automation. Experience with requirements and test traceability tools such as Polarion, Jama, DOORS, or TestRails. Strong systems-level thinking and the ability to understand and navigate complex technical systems. Basic proficiency with probability and statistics. Ability to grapple with ambiguity and collaborate with cross-functional teams. Bonus Qualifications Experience with autonomous vehicles, robotics, or other safety-critical systems. Experience with simulation environments and hardware-in-the-loop (HIL) testing for pose estimation or perception systems. Experience with fault protection system design and validation. Familiarity with industry safety standards such as ISO 26262, ISO 21448 (SOTIF), ARP 4754, or ARP 4761. Experience with Linux systems and containerized testing environments. Proficiency with SQL for test data analysis. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description Halo Industries, Inc., a pioneer in manufacturing innovation with light-based technologies, seeks a highly skilled System Integration Engineer to join our dynamic team. Our proprietary advancements replace traditional processes with novel light-based equivalents, offering higher quality, lower cost, and enhanced functionality. As we rapidly expand our operations, we're looking for a team to oversee our prototype systems' integration and verification activities. The Opportunity We are seeking a highly motivated and skilled Senior System Integration Engineer - Test & Validation to join our dynamic team. This role is crucial for the successful integration, testing, and deployment of our cutting-edge laser-based wafer manufacturing systems. The ideal candidate will have deep hands-on experience with complex electro-mechanical and optomechanical hardware, including lasers, motion stages, and control electronics, and will be responsible for ensuring that all system components perform to specification through rigorous test and validation. This position requires a strong understanding of system-level hardware integration, and test automation, along with the ability to diagnose issues across electrical, mechanical, and optical domains. This is a hardware-focused documentation, test, and validation role - ideal for an engineer passionate about working directly with instrumentation, sensors, and high precision actuators to drive reliability and performance improvements in a fast-paced manufacturing environment. Responsibilities Lead the hardware integration and validation of complex laser-based wafer manufacturing systems, including optical, mechanical, electrical, and precision motion subsystems. Develop and execute detailed hardware test procedures - from subsystem acceptance tests to system-level validation - ensuring performance meets design and reliability requirements. Perform hands-on testing, troubleshooting, and root-cause analysis across electrical, mechanical, optical and controls domains. Work closely with technicians to ensure consistent build quality, accurate documentation, and reproducible test processes. Design and specify test setup, instrumentation and data acquisition requirements needed to validate system functionality and performance. Collect, analyze, and interpret test data, identifying trends, deviations, and opportunities for design or process improvements. Contribute to the development of automation tools for data collection and test execution (LabVIEW, Python, or equivalent). Collaborate with cross functional teams - including mechanical, electrical, optical, and software engineers to resolve integration and performance issues. Contribute to design and readiness reviews, providing feedback focused on hardware testability, manufacturability, and serviceability. Requirements Basic Qualifications Bachelor's degree in Mechanical Engineering, Optical Engineering, Electrical Engineering or a related field. 5+ years of experience in hardware system test, validation, or system engineering within semiconductor equipment, laser systems, robotics, or precision automation. Demonstrated ability to troubleshoot complex hardware systems, isolate issues, and drive corrective actions in collaboration with design engineers. Proven ability to plan, execute, and document hardware validation efforts from concept through system acceptance. Strong hands-on background with electromechanical systems, including controls, sensors power electronics, and optical assemblies. Experience developing and maintaining ATP documents, test procedures, and build instructions for complex systems. Proficient with instrumentation and diagnostics tools (Oscilloscope, DMM, DAQ's, interferometers, alignment cameras, etc.) Preferred Qualifications Experience in a hands-on lab or factory setting, working alongside technicians to build, test and qualify hardware systems. Experience with laser systems and optical alignment, including beam path setup, diagnostics, and calibration. Familiarity with semiconductor wafer manufacturing equipment, process flow, or fab environment practices (vacuum, cleanroom or safety protocols). Working knowledge of hardware test automation using tools for system characterization. Exposure to motion control and optomechanical systems, including tuning, encoder calibration, and vibration analysis. Experience developing or executing Acceptance Test Procedures (ATP's) and formal system-level validation plans. Proficiency with data analysis and visualization for performance trending and reliability studies. Familiarity with data-acquisition and control software (LabVIEW, Python, MATLAB, or similar) for test automation and data logging. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Paid Time Off (Vacation, Sick & Public Holidays) Life Insurance (Basic, Voluntary & AD&D) Family Leave (Maternity, Paternity) Free Food & Snacks Stock Option Plan Short Term & Long Term Disability Base salary $ 150,000 - $ 165,000 Additional Information We are committed to creating an inclusive workplace where all team members feel valued and supported. We welcome applicants from diverse backgrounds, including those from underrepresented communities in STEM. If you meet most of the qualifications and are excited about this opportunity, we encourage you to apply.

Job Description Job 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 The AI innovation team at Agility works on building and deploying next-generation robot foundation models and end-to-end policies on humanoid robots. Your goal will be to develop and test cutting-edge methods for imitation learning and reinforcement learning on humanoid robots, in order to establish the techniques necessary for humanoid robots to perform different real-world tasks. You will work on a team, running experiments on humanoid robots, and will research and implement methods which can be transferred into production. About the Work Design, train, and deploy robust policies for locomotion, manipulation, and dynamic interactions with the environment. Develop core reinforcement learning infrastructure, including scalable training pipelines and evaluation frameworks. Design and implement new simulation environments and tasks to support training and deployment of control policies. Develop, design, and test imitation learning methods Collaborate with Robotics Software and AI engineering teams to develop policies which can be transferred to production About You 3+ years of experience developing and deploying learning-from-demonstration Strong programming skills in Python, with proficiency in deep learning frameworks such as PyTorch. Experience with modern learning-from-demonstration tools like DiffusionPolicy Experience with robot data collection, training, and testing on hardware to perform manipulation tasks. Ability to work collaboratively in a fast-paced environment to deliver safe, high-quality software MS in Robotics, Computer Science, or a related field. Bonus Points PhD in Robotics, Computer Science, or a related field. Publications in top ML or robotics conferences (e.g. NeurIPS, ICML, CoRL, RSS, ICRA). Familiarity with robot simulation environments (e.g. Mujoco, Isaac Sim) and sim-to-real transfer techniques. Experience with modern reinforcement learning techniques for locomotion, manipulation, and whole-body control Experience with writing performant, high quality software in C++ 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 $195,000-$304,000 USD In 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 12 company holidays, including a winter shutdown. Non-Exempt Employees: 10 vacation days, paid sick leave, and 12 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.