Diligent Robotics

Full-stack Engineer

• Design and build simulation frameworks and tools to evaluate robot performance across diverse environments and use cases.
• Develop realistic sensor, actuator, and physics models to replicate real-world robot interactions.
• Integrate AI and autonomy software into simulation environments for validation and benchmarking.
• Collaborate with perception, planning, controls, and hardware teams to define simulation requirements and ensure fidelity to real-world systems.
• Automate large-scale simulation testing to assess performance, safety, and regression.
• Analyze results, identify edge cases, and feed findings back into AI and system development.
• Drive improvements in simulation infrastructure to increase scalability, reproducibility, and explainability.
• Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing pipelines.

Staff Simulation Software Engineer

Robotics

• Develop and deploy ML models for perception/navigation tasks such as object detection, semantic segmentation, tracking, scene understanding, localization, and path prediction.
• Design and implement sensor fusion and mapping pipelines combining vision, depth, LIDAR, IMU, and other signals for robust perception and navigation in dynamic spaces.
• Build real-time ML inference pipelines optimized for robotic hardware and embedded compute.
• Setup data collection, labeling strategies, dataset curation, and synthetic data augmentation for training and evaluation.
• Establish metrics, benchmarks, and test frameworks to validate ML models in both simulation and real-world environments.
• Collaborate with robotics software engineers to integrate perception and navigation intelligence into autonomy stacks.
• Work with operations to analyze field data, diagnose performance gaps, and iterate on model improvements.
• Contribute to long-term ML and perception and navigation architecture decisions, influencing the roadmap for future robots.
• Mentor junior ML engineers and contribute to building strong applied ML best practices within the team.

Staff ML Engineer, Robotics

Artificial Intelligence

• Lead and grow an embodied-AI team that owns perception, planning, navigation, manipulation, and multimodal ML models, all running on edge platforms.
• Define the strategic technical roadmap for the robotics platform and embodied-AI capabilities—from foundational models to real-time onboard inference and control.
• Architect and guide development of large multimodal ML models—vision, language, tactile—that drive physical robot behaviors, potentially leveraging foundation model approaches.
• Oversee integration between edge AI, firmware, OS, hardware, and cloud services for deployment, monitoring, and continuous improvement.
• Provide hands-on leadership: mentor engineers, review code and models, and contribute directly to critical system components.
• Ensure AI and robotics systems meet safety, robustness, and regulatory requirements; drive performance metrics like latency, reliability, and interpretability.
• Collaborate with cross-functional leaders—product, firmware, backend, customer success—to align AI roadmap with business goals and deployment realities.
• Recruit top-tier AI and robotics engineering talent, define team structure, and foster a culture of technical excellence and experimentation.

TLM, Embodied AI

Senior/Staff ML Engineer, Robotics

Engineer

• What we’re doing isn’t easy, but nothing worth doing ever is.
• We envision a future powered by robots that work seamlessly with human teams.
• We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments.
• Join our mission-driven, venture-backed team as we build out current and future generations of humanoid robots.
• Design and build simulation frameworks and tools to evaluate robot performance across diverse environments and use cases.
• Develop realistic sensor, actuator, and physics models to replicate real-world robot interactions.
• Integrate AI and autonomy software into simulation environments for validation and benchmarking.
• Collaborate with perception, planning, controls, and hardware teams to define simulation requirements and ensure fidelity to real-world systems.
• Automate large-scale simulation testing to assess performance, safety, and regression.
• Analyze results, identify edge cases, and feed findings back into AI and system development.
• Drive improvements in simulation infrastructure to increase scalability, reproducibility, and explainability.
• Support hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing pipelines.

Senior/Staff Simulation Engineer

Project Manager

• The PM will own the end-to-end implementation of Diligent’s core product, Moxi, into new Hospital environments.
• This position manages project scope, implementation priorities, client communications, and quality delivery of robot service projects.
• The Project Manager also coordinates internal resources across departments to support the timely delivery of products and services.
• The PM will work with hospital clients. You will manage projects by serving as a counterpart to our Field Application Engineering and Implementation Services team, who will handle the technical aspect of integrations and configurations. It is strongly preferred that you have managed cross departmental integration projects in healthcare settings.
• The PM is responsible for overseeing hardware and software integration and application development project timelines. This role identifies appropriate resources needed and develops schedules to ensure time completion of projects. This position reports to the Director of Implementation and will collaborate with operations, engineering, product, and administrative support teams at customer sites. The PM will work collaboratively with administrative and medical leadership to oversee the installation of robot delivery services. Travel expectations will ebb and flow between 25-45% throughout the year.
• This position may be work from home anywhere in the continental United States or hybrid or in-person out of our Austin, TX headquarters.
• What You’ll Be Doing/Responsibilities
• Leads (coordinates, facilitates, and motivates) the efforts of the individual, team, client, and other resources associated with project activity and across cross-functional teams
• Formulates, administers, and documents the detailed Project Plan, which will include all required activities, tasks, risks, issues and resources requirements
• Forecasts needs by identifying and breaking work down into discrete and measurable tasks, set priorities, define dependencies, schedule activities, prepare acceptance criteria, and organize work; tracks and assesses progress throughout the implementation phase, ensuring timely delivery of the product, working creatively with clients to formulate the final solution.
• Coordinates and drives implementation meetings, trainings, and critical project information with clients, internal departments, and the leadership team
• Interacts with clients in a customer-success mentality and provides rapid fire responses to customer needs
• Determines, analyzes, and formulates current practices, user needs, and workflow processes, issues, and potential solutions on projects
• Ensures compliance of customer policies
• What You’ll Need
• 1-2 years of professional experience managing technical projects within a Hospital environment
• 1+ years of experience in one of the following areas:
• Deploying IT enabled products into new environments
• Experience in a Clinical role (nursing, training, patient care) with exposure to SaaS products
• Customer service and problem-solving mindset; you proactively identify potential issues before they happen and create resolutions, you have extraordinary attention to detail
• Successful track record of managing multiple projects effectively; you can juggle and make progress on multiple initiatives simultaneously and work well in a fast-paced and dynamic setting
• Ability to capture the vision for the robotics service platform and support it
• Excellent time management; proficient in using project management tools including spreadsheets and timeline tools
• Experience working with multiple software platforms and tools. For example: Google Suite products, Microsoft Office, Canva, e-learning tools, website management, etc.
• Knowledge of the healthcare industry, related IT systems, and basic knowledge of healthcare administration structures and policy.
• Strong written and verbal communication, and prior experience in a role in which client communications was your responsibility.
• Preferred qualifications
• Bachelors degree or greater in Nursing, Informatics, Information Technology or a relevant focus
• Knowledge and application of a disciplined project management process (Six Sigma and Project Management Professional certifications like CAHIMS, CPHIMS, NI-BC are a plus)
• Execution of critical and complex initiatives, including:
• Process optimization and implementation
• Technology coordination and implementation
• New service development and deployment

Project Manager, Implementation

Application Engineer

• The Manager, Field Application Engineering will be responsible for leading a team of Engineers and Technicians who provide support and guidance in implementing and troubleshooting autonomous delivery robots.
• Leading the installation and maintenance activities, you will ensure safe and compliant installations.
• You will be the onsite expert, continually developing your knowledge and skills to deliver innovative solutions.
• You will manage a team of field application specialists and will be expected to travel 25% per quarter as well as work hours are dependent on the site needs.
• When not traveling you will use the knowledge that you have gained onsite to provide remote support, improve procedures and develop new solutions.
• You will report directly to the Director of Implementation.
• Manage a team of Field Application Engineers and Technicians
• Conduct 1on1’s, career progression planning and goal setting for your direct reports
• Work cross functionally with engineering to support the implementation process.
• Perform installations, training and validations for new robots or expansions.
• Provide feedback from customers and act as customer advocate.
• Create documentation to enhance technical training, user guides, procedures, and technical manuals.
• Proactively provide feedback to the organization on product performance with suggestions for product improvements and new product development.
• Assist with the Team’s on-call support before and/or after hours as required by the organization.
• Provide ongoing technical and customer service assistance and/or confirm that the customer has properly received resolution.
• Perform network and site surveys alongside the growth team in support of potential or signed contracts.
• Assist the platform engineering team in creating new integrations used for Moxi location tracking
• You have at least 2 years of experience leading a team of Sales or Field Engineers
• You have experience conducting productive 1:1’s, aligning team goals to individual ones and growing members of your team professionally
• You have an Engineering or Computer Science degree or demonstrate equivalent, relevant professional work experience.
• You have hands-on experience with Linux operating systems.
• Coding experience is a plus
• You have the ability to interact and communicate positively and effectively with customers.
• You have a basic understanding of hardware/software installations and repairs in order to support both application and technical support.
• You can demonstrate a good mechanical aptitude.
• You have proven software/hardware troubleshooting skills
• You can handle multiple tasks at the same time that require minimal supervision and can prioritize tasks accordingly.
• You are self-motivated, success oriented and demonstrated a collaborative, customer focused approach.
• You will be required to travel 50% of the time.
• You are required to have a valid US Driver’s License.
• You are able and willing to pass hospital vendor credentialing requirements – such as, but not limited to, drug screening, immunizations, training and background screening.
• You must be able to travel Monday through Friday for a minimum of two weeks at a time. Occasional weekend travel may be required.
• You are an excellent team player with outstanding communication skills.