Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

The Autonomy Analytics team is responsible for evaluating the performance of our autonomous software using data, statistics, and machine learning. Combining data from real-world testing with our extensive simulations, our team builds the metrics and analytics that ensure our product is safe, reliable, and delights our customers. 

Our team is spread geographically with some members on-site in Pittsburgh, Palo Alto, and Dearborn. Others work fully remotely.

What you’ll do: 

• Translate loosely defined questions into clear requirements, metric definitions, and analytical deliverables
• Partner closely with software development teams, test engineering, product, and analytics partners to understand needs and deliver trusted data products
• Build and maintain scalable data models in Google BigQuery and similar cloud data platforms to support reporting, analysis, and operational decision-making
• Develop dashboards and lightweight data applications in Apache Superset, Plotly Dash, or similar tools for technical and business stakeholders
• Investigate source data, identify quality issues, and implement durable fixes that improve accuracy, consistency, and reliability
• Create reusable datasets, testing practices, and documentation that strengthen trust in data and improve self-service access
• Balance near-term dashboard development with long-term data modeling work to support both speed and scale
• Communicate findings, assumptions, and tradeoffs clearly to internal stakeholders and external platform or data partners as needed

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Experience building and maintaining analytics-ready data models in Google BigQuery or a similar cloud data warehouse
• Experience using dbt or a similar data transformation framework to develop tested, documented, and maintainable data pipelines
• Experience designing dashboards and analytical applications in Apache Superset, Tableau, or similar reporting and visualization tools
• Strong SQL skills, including complex transformations, data validation, and query optimization
• Experience with Python for data analysis and application development, including the ability to contribute to and maintain Plotly Dash dashboards
• Demonstrated ability to succeed in ambiguous environments by defining requirements, shaping metrics, and creating structure from incomplete problem statements
• Experience partnering with software development, test engineering, product, or similar cross-functional teams to deliver measurable outcomes
• Strong foundation in data modeling, dashboard design, documentation, and quality assurance practices
• Strong written and verbal communication skills with the ability to explain analytical concepts and findings to varied audiences

Nice to have: 

• Experience supporting autonomous vehicle development or other complex hardware and software products
• Experience working with telemetry, operational, or product usage data at scale
• Experience building shared metrics and self-service reporting solutions for engineering and product organizations
• Experience with front-end technologies such as HTML, CSS, JavaScript, or React to support customization and enhancement of data applications and dashboards

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

The Team

This role can sit in our NYC HQ on a hybrid basis, or it can be fully remote while working from a location based in either Eastern or Central time zones. We are looking for an experienced Senior Engineer for our SRE, Atlas team to support, maintain and grow the Atlas platform. As a senior SRE, you will be expected to be able to design & build complex systems, operate with autonomy and act as owner for everything you do. 

The SRE Atlas team works alongside the various Atlas software engineering teams to provide expertise about running systems at scale, build new tooling and automation and perform essential maintenance of the Atlas fleet. 

This is an SRE team, which means you can expect a highly hands-on approach, tackling the technical challenges of implementing large scale solutions that have the ability to impact our customer’s most crucial workloads. 

Role Overview

We are seeking a talented Site Reliability Engineer (SRE) with a strong infrastructure background. This role requires engineers to have a customer-first mindset to ensure that everything we do results in a stronger product and a better experience for all Atlas customers. 

The ideal candidate should

• Have 5+ years of experience running critical systems at scale
• Value efficiency in processes and operations, and display a preference for automation over manual processes (“allergic to ops work”)
• Be familiar with a major cloud provider (AWS, Azure, or GCP) and possess the ability to build and operate systems in a multi-cloud environment
• A strong understanding of how to run a large scale Linux environment, including low level fundamentals 
• Firm grasp of at least one modern programming language, beyond basic scripting (Go, Ruby, Python)
• Solid understanding of web and network protocols and standards (HTTP, TLS, DNS, etc)

Special Requirements:

• Be a US Citizen

Expectations

• Participate in the development of a reliable and resilient multi-cloud platform that hosts business critical applications for a wide & varied range of customer applications
• Collaborate with service-owning teams to provide internal support, solve technical challenges and adapt or build tooling to solve novel use cases in a generic fashion
• Participate in a 24/7 on-call rotation to swiftly resolve issues related to any disruption of our customer facing Atlas fleet, ensuring minimal disruption and high availability

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 426187

MongoDB’s Storage Layer Services (SLS) team is re-architecting the MongoDB cloud storage layer and sits at the heart of our next-generation cloud storage architecture. This relatively new team is building performant, multi-tenant distributed storage services that both enhance today’s Atlas storage stack and enable more customer workloads to run more efficiently.

You will partner with the teams building these storage services to define SLOs, shape capacity plans, and ensure the reliability, durability, and operational safety of the storage layer that underpins Atlas. You’ll join a small, senior team of SREs as founding members of this organization, playing a crucial role in executing on a multi-year roadmap for MongoDB’s cloud storage architecture.

This role can be based out of our Boston, New York City, Raleigh, Miami, Pittsburgh or remotely in the United States while physically based in an Eastern or Central time zone location. 

The ideal candidate should

• Have 6+ years of experience working on software development and operating distributed systems
• Proficiency in Python, Go, or a similar language
• Have operated or supported stateful storage or database systems at scale, and are comfortable with durability, consistency, and recovery trade-offs.
• Possess a customer-focused mindset
• Value efficiency in processes and operations
• Prefer automation over manual processes. We are a small team of software engineers with a strong bias towards software solutions to avoid toil
• Experience using and extending containerization technologies, particularly Kubernetes, to enhance application agility, optimize resource utilization, and accelerate time-to-market
• Expertise in cloud infrastructure platforms, including AWS, Google Cloud Platform (GCP), or Azure
• Understanding of Linux operating system internals and networking concepts (e.g., TCP/IP, DNS, TLS, routing)

Responsibilities 

• Work on our multi-tenant distributed storage systems, balancing long-term strategic infrastructure goals with immediate engineering needs
• Build for reliability, making services and infrastructure available, resilient, fault-tolerant, and self-healing
• Identify and configure key metrics to detect incidents and quantify service health, availability, and performance
• Participate in a 24/7 on-call rotation to resolve issues involving the storage infrastructure
• Become an expert in infrastructure performance, helping us optimize from the application level all the way to the kernel

Strong candidates may also have experience with:

• Leading major architectural shifts, such as moving from legacy storage stacks to new multi-tenant storage architectures, including planning and executing large-scale data and workload migrations with tight availability and durability requirements
• Managing and scaling infrastructure across multi-cloud environments (AWS, GCP, or Azure)
• Designing secure, multi-tenant runtime environments at scale

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform, the most widely available, globally distributed database on the market, helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and over 60,000 customers, including 75% of the Fortune 100 and AI-native startups, relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Req ID: 1273396252

About The Role

Our software team is growing and we are looking for a talented engineer to join our agile, world-class team. In this role you will develop autonomous behaviors for humanoid robots to interact with the world around it. You will work closely with state estimation, navigation, and controls teams to execute behaviors aimed at solving challenging problems in real-world deployments.

About The Work

• Design, implement, test, and deploy autonomous behaviors for humanoid robots
• Prototype autonomous behaviors in simulation and execute on robot hardware
• Develop algorithms robust to environmental uncertainty and imperfect state estimation
• Implement performance tests for evaluating the reliability of robot behaviors
• Contribute to the software architecture and design of the autonomy stack
• Collaborate with members of the autonomy teams to solve complex cross functional problems
• Engineer high quality software that is well tested, reliable and maintainable

About You

• Industry experience deploying mobile manipulation robots in real world applications
• Experience developing manipulation algorithms on high-DOF robots
• Familiarity with behavior trees, finite state machines, or similar behavior management and execution systems
• Experience with perception and scene understanding especially as it pertains to manipulation
• Strong robotics fundamentals, including kinematics, dynamics, sensing, and control
• Experience using simulation tools such as Isaac Sim / Mujoco / Drake / gazebo or similar
• Experience with automated testing for simulation
• Strong debugging skills; the ability to identify and diagnose complex issues that arise within robotics
• Strong software experience in modern C++ and Python

Bonus Qualifications

• Experience working with humanoid (or similar) robots
• Experience leveraging machine learning to improve grasp planning and object manipulation
• Experience in classical robotics motion planning and trajectory optimization algorithms
• MS or Ph.D. in robotics, computer science, or related field or have equivalent industry experience
• Publications in your field (RSS, ICRA, IROS preferred)

We are open to remote candidates, but a prefer this role to be 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.

What we are looking for

Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all.

We're searching for a Staff Client Platform Engineer to join our Enterprise Site Reliability (SRE) team to lead the management of our enterprise Windows, Mac, and Ubuntu clients. The team is responsible for designing, implementing, and maintaining scalable and secure client device infrastructure. They also automate device deployment, configuration, and management processes.

This role will contribute to delivering the benefits of self-driving by leading the development of tailored client device solutions that address Aurora-wide and team-specific requirements for software and hardware development and manufacturing.

In this role you will

• Guide the approach and execution of the Client Platform Engineering Team
• Plan, design, and implement scalable solutions to manage Aurora's physical and virtual client platforms (Macs, Windows, Ubuntu) to ensure they receive security patches, configuration, and software package updates
• Partner with IT Support, InfoSec, and Developer Experience on strategy and implementation of client platform management solutions
• Handle escalations from IT Support, with an emphasis on mentoring and empowering IT Support to address similar problems
• Participate in the Enterprise SRE 24/7 on-call rotation

Required qualifications

• Experience of at least 8 years in Client Platform engineering and at least 3 years in leading engineering solutions (design to implementation) at scale.
• Expertise with client device lifecycle management, including experience across multiple client operating systems and various hardware platforms.
• Experience with MacOS, Windows, and Linux system administration.
• Experience deploying configuration management tools such as Intune, Kandji, Puppet, Ansible, or Chef.
• Experience with automation and tool development, preferably using Powershell, Go, or Python.
• Strong change management skills, including rollout planning and communication, and collaborating with stakeholders.
• Understanding of client endpoint security concepts and experience applying security hardening to client devices, such as CIS Benchmarks.
• Outstanding written and verbal communication skills that drive executional impact at scale. 
• Experience with automating testing for imaging, provisioning, and configuration management.

Desirable qualifications

• Experience working within cloud environments such as AWS, GCP, or Azure.
• Experience in environments deploying containerized workflows, using tools such as Docker or Kubernetes.
• Familiarity with SRE concepts such as SLIs, SLOs, SLAs, incident response, and best practices and partnering with teams on them.
• Experience with Infrastructure as Code (IaC) tools such as Terraform, Pulumi, or CloudFormation

The base salary range for this position is  $163,000 - $236,500 per Year. Aurora’s pay ranges are determined by role, level, and location. Within the range, the successful candidate’s starting base pay will be determined based on factors including job-related skills, experience, qualifications, relevant education or training, and market conditions. These ranges may be modified in the future. The successful candidate will also be eligible for an annual bonus, equity compensation, and benefits.

About the Role

We are looking for a Staff Robotics Software Engineer (Tech Lead) to lead the design and development of robot behaviors that expand and generalize our humanoid robot’s capabilities. In this role, you will own behavior design end-to-end, from high-level task logic and system design down to on-robot validation and deployment. You will work at the intersection of behavior planning, motion planning, object perception, and manipulation, developing new autonomy capabilities and pushing the robot into new classes of tasks. We are looking for a hands-on technical leader who can set technical direction and wants to stay close to the robot: writing code, running experiments, debugging logs, working with hardware, and mentoring other engineers by building alongside them.

Key Responsibilities

• Own the design, implementation, and validation of complex humanoid robot behaviors.
• Lead behavior planning and execution design, including task decomposition, control flow, recovery, and failure handling.
• Build new autonomy capabilities that expand what the robot can reliably do in the real world.
• Develop and evaluate manipulation strategies for new tasks, objects, workflows, and customer environments.
• Integrate robot behaviors with motion planning, controls, object perception, estimation, and hardware systems.
• Train, evaluate, and integrate learned policies into hybrid learned/classical execution workflows.
• Integrate new end effectors, tools, sensors, and other hardware capabilities into the behavior stack.
• Debug complex system-level failures using logs, replay, metrics, simulation, and on-robot experimentation.
• Mentor engineers through design reviews, code reviews, debugging, and hands-on technical guidance.
• Help set technical direction and best practices for building robust, composable, reusable, and generalizable robot behaviors.

About You

• B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field.
• 8+ years of professional experience developing robotics software, autonomy systems, robot behaviors, or related real-world robotic capabilities.
• Demonstrated experience as a tech lead or senior technical owner for complex robotics projects.
• Proficient in Python and C++, and comfortable contributing to large, long-lived codebases.
• Experience with behavior trees, state machines, task planners, hierarchical planning, or similar behavior-planning frameworks.
• Strong system-level understanding of how motion planning, object perception, controls, estimation, and hardware interact on real robots.
• Experience working with complex algorithms and data pipelines, with an ability to optimize for performance, robustness, and scalability.
• Experience collaborating closely with perception, planning, controls, hardware, product, or field teams.
• Strong ownership mindset with a focus on robustness, generalization, and real-world reliability.

Bonus Qualifications

• Experience developing manipulation strategies for complex or unstructured environments.
• Experience with learned robot skills, including imitation learning, reinforcement learning, or hybrid learned/classical execution strategies.
• Experience deploying and supporting autonomous robots in real customer environments.

This is a hybrid role based out of one of our Salem, OR, Pittsburgh, PA, or Fremont, CA 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.

About the Role

We are looking for a Staff Robotics Software Engineer to join our Skills team, focusing on object perception for robot manipulation. This technical leadership role is deeply rooted in production robotics, where reliability, performance, and system behavior matter most. You will focus on integrating, adapting, and operationalizing perception systems within a full robotic stack, ensuring they perform robustly on real hardware in real environments.

In this high-impact role, you will act as a key decision-maker within the perception and skills stack, helping define system architecture, design principles, and technical direction across how perception connects to planning, control, and execution. You will shape how these systems come together end-to-end, influencing both current execution performance and the long-term scalability of the platform.

You will also work closely with AI/ML teams, evaluating and incorporating both learned and classical approaches, while driving the engineering decisions that turn models and algorithms into reliable, production-grade robot behavior.

About the Work

• Own object perception performance on the robot, from sensors through runtime behavior integration
• Lead the design, implementation, and deployment of perception pipelines for manipulation, including object pose estimation, depth reasoning, and scene understanding
• Work hands-on with real robots to debug, tune, and harden perception systems under real-world variability
• Collaborate with AI/ML teams to evaluate, integrate, train, and fine-tune perception models
• Explore and integrate off-the-shelf perception solutions and libraries where they meet performance and reliability needs
• Combine learned models with classical CV, geometry, and task structure to meet system-level requirements
• Define interfaces and contracts between perception, behaviors, and task planning to ensure reliable execution
• Build tools and workflows to evaluate perception performance across datasets, simulation, and hardware
• Help set technical direction and best practices for building robust, production-grade perception systems that are reliable, debuggable, and scalable in real-world robotic environments

About You

• B.S., M.S., or Ph.D. in Robotics, Computer Science, or a related engineering field
• 8+ years of professional experience building object perception systems for real robotic platforms
• Demonstrated experience as a tech lead or senior technical owner for complex robotics projects
• Experience working across learned models and classical perception approaches
• Experience training, fine-tuning, and evaluating perception models
• Strong experience writing production-quality C++ and Python code
• Hands-on experience with monocular vision, stereo vision, RGB-D sensing, or depth reconstruction
• Experience with perception libraries (OpenCV, Open3D, PCL, ROS perception, NumPy, scikit-image)
• You love solving hard perception problems, but your real passion is seeing those solutions work on a robot in the real world and having an impact
• You’re excited to work on hardware
• You enjoy debugging, testing, and iterating quickly in simulation and on the real robot

You Might Also Have

• Solid understanding of spatial reasoning 
• Demonstrated ability to apply object perception model outputs (detection, segmentation, pose estimation) in manipulation pipelines
• Experience with structured 3D estimation (plane fitting, normal estimation, voxel maps, etc)

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.

Mission Summary:

We are seeking a capable and highly motivated Engineer for our Developer Platform team to enable rapid and safe software delivery by providing a unified, efficient and reliable platform for all developers at Motional. You will join a talented team of engineers that focuses on improving the engineering experience and developer productivity of teams in Motional by providing them with the necessary tools and processes. You will collaborate closely with teams across the organization to identify pain points and drive initiatives that empower teams to deliver on Motional’s mission.

Your main focus will be on our real-time data pipeline which enables our AVs to communicate with our cloud services such as Command Center, Over-The-Air update systems, and ride hailing partners integration.

This is a remote-first position based anywhere in the U.S. 

What you'll do:

• Design, build, document, test, and maintain network, compute, and storage infrastructure of our cloud platform for the AV fleet.
• Monitor, support, and resolve issues as they arise in production.
• Assist with high-level analysis, system design, and code reviews.
• Communicate with stakeholders and team leads to identify system requirements.

What you'll be working on:

• Observability systems, CI/CD pipelines for integrations with ride hailing partners like Uber and Lyft.
• Cost Optimizations, Performance Optimizations, Security Improvements of Cloud Systems.
• Automation, services and LLM-integrated bots to reduce developer toil.

What you bring:

• 2+ years of professional work experience as a Software Engineer/DevOps in designing and building distributed systems.
• Experience with Golang / Python.
• Experience with AWS (EC2, EKS, ECS, Lambda, VPC, S3, IAM, IOT).
• Knowledge of CI/CD tools (e.g. GitLab CI, Jenkins).
• Experience with Infrastructure as Code (Terraform).
• Comfortable taking projects from ideation through to completion, with strong communication and collaboration across multiple international teams.
• Comfortable working in a fast-paced, continuous delivery environment.

Bonus points for experience with:

• Working with a globally distributed team.
• Experience with serverless architectures, building systems using SQL and NoSQL databases.
• Experience with time-series databases and monitoring tools (Prometheus, VictoriaMetrics, Grafana, Redash).
• Experience with GenAI solutions (Q Developer/Business, Gemini).
• Experience in Site Reliability Engineering.
• Experience with error monitoring software (Sentry, Incident.io).

Mission Summary:

The Autonomous Vehicle (AV) Test Engineering team at Motional is responsible for validating the safety, functionality, and performance of our self-driving technology through rigorous, system-level testing. As a Senior AV Test Engineer, you will take a lead role in the strategy, planning, and execution of comprehensive test campaigns that span perception, planning, and control systems across virtual, closed-course, and public road environments.

In this role, you will guide test development efforts across multiple AV subsystems, mentor junior engineers, and drive improvements to our tooling, test infrastructure, and methodologies. You will lead cross-functional initiatives that directly impact release readiness and safety assurance, translating high-level engineering requirements into scalable test plans and measurable quality outcomes. Your work will contribute to iterative development, fault injection analysis, and validation of safety-critical systems that meet the highest standards for reliability and compliance.

Essential Duties:

Technical Leadership & Validation:

• Lead the planning, design, and execution of validation campaigns across simulation, SIL, HIL, and on-vehicle environments, with a focus on perception, planning, and control systems.
• Serve as the technical lead for scenario-based testing, utilizing platforms like Applied Intuition or equivalents for synthetic and re-simulation use cases.
• Lead AV capability campaigns, employing AB Dynamics equipment for system-level validation and performance benchmarking.
• Own the creation and execution of test plans for complex mechatronic and software systems, including drive-by-wire (DBW), braking, steering, and system integrations.

Test Infrastructure & Analysis:

• Develop and maintain robust test infrastructure using Python, Shell, and automation frameworks, ensuring modular, reusable, and scalable test architecture.
• Conduct detailed analysis of logs and system behavior, supporting root-cause investigations across AV software and hardware components.
  
  

Quality Assurance & Compliance:

• Participate in and lead QA review cycles, helping to define entry/exit criteria, regression coverage, and release readiness gates.
• Ensure traceability and compliance by documenting procedures, results, and outcomes using Jira, GitLab, and Confluence.
• Contribute to compliance with safety-critical standards such as ISO26262, ISO21448 (SOTIF), and ISO9001.
  
  

Collaboration & Mentorship:

• Represent the Test Engineering function in cross-functional planning meetings, collaborating closely with perception, planning, controls, and safety teams.
• Mentor and support junior Test Engineers, providing technical guidance and fostering a culture of continuous learning and improvement.
  
  

Strategic Adaptation & Support:

• Continuously adapt and optimize test strategies in response to evolving product requirements, architectural shifts, and real-world findings.
• Support after-hours testing or incident triage as needed by fleet or field operations.
• Travel domestically on occasion to support on-site testing or operational deployments.
• Perform additional duties as assigned.

Required Qualifications:

• Bachelor's degree or higher in Engineering, Robotics, ECE, Computer Science, or a related technical field.
• 5+ years of experience in software QA or system testing, including AV, ADAS, robotics, or safety-critical systems.
• Demonstrated expertise in test strategy, test case development, test execution, and automation for complex mechatronic or autonomous systems.
• Experience leading end-to-end testing across software stacks and physical systems, including SIL, HIL, and real-world deployments.
• Strong analytical skills with proficiency in debugging, log parsing, and root cause analysis.
• Excellent verbal and written communication skills, with the ability to drive cross-functional alignment and effectively report technical findings.
• Proven ability to lead technical efforts, mentor junior engineers, and operate with minimal oversight.
• High level of initiative, ownership, and accountability in a fast-paced, startup-style engineering environment.
• Flexible schedule and willingness to support late meetings, night shifts, or urgent test activities as required.

Preferred:

• Master’s degree in a relevant field.
• Deep familiarity with CAN-based tools (CANalyzer, CANoe) for fault injection, bus analysis, and subsystem verification.
• Working knowledge of industry standards for safety-critical systems such as ISO26262, ISO21448 (SOTIF), and ISO9001.
• Familiarity with AV safety case development or safety validation workflows.
• Experience with robotic middleware (e.g., ROS), cloud telemetry systems, or AV data pipelines.
• Experience in a cross-site or global engineering organization.
  
  

Physical Demands:

While performing the duties of this job, the employee is frequently required to sit, talk, or hear. The employee is occasionally required to stand and at times for long periods; walk; use hands to finger, handle, or feel; reach with hands and arms. The employee must occasionally lift and move up to 50 pounds.

Working Environment:

The work environment characteristics described here represent those a team member encounters while performing the essential functions of this job.  Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the team member is regularly exposed to outside weather conditions, road conditions, and pedestrian traffic.  The team member is regularly exposed to mechanical and computer parts. The team member is occasionally exposed to fumes and airborne particles.  The noise level in the environment is low to moderate.

Motional AD LLC is an Equal Employment Opportunity employer, and we welcome all qualified applicants.  All applicants will receive impartial consideration regarding race, sex, color, national origin, age, disability, veteran status, genetic data, religion, gender identity, sexual orientation, or another legally protected status.  Motional AD LLC is a Drug-free workplace.

Latitude AI (lat.ai) develops automated driving technologies, including L3, for Ford vehicles at scale. We’re driven by the opportunity to reimagine what it’s like to drive and make travel safer, less stressful, and more enjoyable for everyone.  

When you join the Latitude team, you’ll work alongside leading experts across machine learning and robotics, cloud platforms, mapping, sensors and compute systems, test operations, systems and safety engineering – all dedicated to making a real, positive impact on the driving experience for millions of people. 

As a Ford Motor Company subsidiary, we operate independently to develop automated driving technology at the speed of a technology startup. Latitude is headquartered in Pittsburgh with engineering centers in Dearborn, Mich., and Palo Alto, Calif.

Meet the team:

As a Site Reliability Engineer on the team, you will be responsible for helping to build and run these mission critical systems.  Through the implementation of monitoring and automation, you will constantly ensure the health, reliability, scalability, and performance of the platforms.

The Site Reliability team interacts with engineering teams including ingest/data processing, mapping, labeling, triage, machine learning (detection, prediction, tracking), motion planning/control, offline simulation, and release/deployment teams to provide uniform service observability and incident response.

What you’ll do: 

• Build monitoring to ensure our platform is healthy and its reliability measurable
• Build alerting and a set of runbooks to enable faster detection and remediation of platform issues
• Debug complex issues that may combine multiple components of the stack and ensure proper fixes are implemented to prevent these issues from happening again
• Participate in an on-call rotation and culture of continuous improvement through blameless postmortems
• Design and implement components of the platform to enable features that make the work of our customers possible, simpler and more efficient
• Build Kubernetes controllers to automate operations

What you'll need to succeed:

• Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Robotics or a related field and 4+ years of relevant experience (or Master's degree and 2+ years of relevant experience, or PhD)
• Fundamental understanding of Linux operating system internals, TCP/IP networking, and storage subsystems
• Hands on development in Go or Python to create robust software that can run reliably in production
• Strong experience scaling and securing services in the cloud (AWS, GCP) or cloud native environments
• Experience using infrastructure-as-code principles to automate the creation of infrastructure resources (e.g. Terraform, CloudFormation)
• Experience authoring and maintaining Kubernetes Controllers in Go
• Experience running Kubernetes and related core components in a large-scale, production environment
• Experience with metrics (e.g. Prometheus), logging (e.g. Elasticsearch, Loki) and tracing (e.g. Jaeger, Tempo) systems
• Understanding of engineering design limitations and ability to provide guidance to teams to scale their services to achieve desired performance within budget
• A focus on increasing service reliability through defining and adhering to SLOs
• Strong communication skills and the ability to work effectively in a diverse and distributed team

What we offer you:

• Competitive compensation packages
• High-quality individual and family medical, dental, and vision insurance
• Health savings account with available employer match
• Employer-matched 401(k) retirement plan with immediate vesting
• Employer-paid group term life insurance and the option to elect voluntary life insurance
• Paid parental leave
• Paid medical leave
• Unlimited vacation
• 15 paid holidays
• Daily lunches, snacks, and beverages available in all office locations
• Pre-tax spending accounts for healthcare and dependent care expenses
• Pre-tax commuter benefits
• Monthly wellness stipend
• Adoption/Surrogacy support program
• Backup child and elder care program
• Professional development reimbursement
• Employee assistance program
• Discounted programs that include legal services, identity theft protection, pet insurance, and more
• Company and team bonding outlets: employee resource groups, quarterly team activity stipend, and wellness initiatives

Learn more about Latitude’s team, mission and career opportunities at lat.ai!

The expected base salary range for this full-time position in California is $179,200 - $268,800 USD. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Latitude employees are also eligible to participate in Latitude’s annual bonus programs, equity compensation, and generous Company benefits program, subject to eligibility requirements.

Candidates for positions with Latitude AI must be legally authorized to work in the United States on a permanent basis. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is available for this position.

We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

Our Autonomy team works at the frontier of real-world robotics — building and deploying systems that navigate, perceive, and act in complex, uncontrolled warehouse environments. The team spans drone autonomy, perception, and MHE Vision, and operates across multiple active product lines with production deployments at customer sites. It's a small, senior group where individual contributions are immediately visible and where the hardest problems are also the most important ones.

About the Role

• Own Architecture: Align backend, frontend, platform, and infrastructure decisions into a coherent, enterprise-grade architecture
• Reflect Excellence: Replace "firefighting" with predictable execution. You will lead the effort to retire scalability and reliability debt, safely upgrade critical infrastructure, and reduce single-threaded dependencies
• Set Direction: Set the standard for engineering technical hygiene. You will drive high-level decisions on testing strategies, validation guardrails, and system design concerns that directly impact delivery speed and maintainability
• Evolve Systems: Modernize and scale existing production systems by applying database-level strategies (schema evolution, replication tradeoffs) and platform primitives (orchestration, runtime constraints) as architectural tools
• Mentor: Elevate the organization by establishing shared practices, aligning terminology, and mentoring senior talent across the engineering team
• Exhibit First-Principles Thinking: Establish a deep understanding of data systems, latency-sensitive services, and failure modes

What You'll Need

• Distributed Systems: Mastery of performance-sensitive REST APIs, caching strategies, and core distributed systems concepts
• Relational Data Systems: Expert-level PostgreSQL (upgrades, query tuning, replication tradeoffs, and schema evolution) and advanced SQL
• Cloud & Containers: Deep experience with Azure and/or AWS and production-grade Kubernetes/Docker
• Backend Development: Strong production experience in Node.js and/or Python
• Reliability & Security: Hands-on experience with Observability (logs, metrics, traces), CI/CD, SRE fundamentals (SLIs/SLOs), and security hygiene (IAM, secrets management)

Nice to Have

• Domain Expertise: Experience in logistics, warehouse systems, or robotics-adjacent platforms is a plus, but not required. We value your ability to apply sound architectural judgment to new problem spaces
• Future Scale: If you have operated at a slightly smaller scale but can reason clearly about "what breaks next" (e.g., multi-regional architectures or advanced data governance), we will help you bridge that gap
• Organizational Maturity: While we value experience driving org-wide standards, we don't expect perfection on day one. We look for the intent to elevate our shared practices as you build trust
• AI-Ready: At Gather, we are at the leading edge of both applied classical ML and next-gen LLM/VLM AI. Come prepared to work with the latest and greatest tooling

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.

The Role — Senior Program Manager (Patient Services Operations)

The Patient Services Operations (PSO) team is central to Blink’s ability to deliver affordable medications and a best-in-class patient experience at scale. As the business grows in client complexity, product surface area, and operational volume, disciplined cross-functional execution is increasingly critical. The Program Management function within PSO ensures high-impact initiatives translate into operationally sound, scalable execution. The team drives structured planning, stakeholder alignment, risk management, and governance across client onboarding, product launches, go-to-market initiatives, and scaling efforts. Program Management serves as the connective tissue across Operations, Product, Engineering, Growth, and other internal partners—ensuring strategic priorities are delivered with clarity, accountability, and operational rigor.

The Senior Program Manager, Patient Services Operations will lead complex, cross-functional initiatives end-to-end, serving as the single-threaded owner for operational readiness and execution. This role ensures launches are delivered on time, stakeholders remain aligned, risks are proactively mitigated, and durable operational frameworks are built to support scale. Success in this role requires a seasoned, hands-on execution leader with strong systems thinking—able to create clarity in ambiguity, connect cross-functional interdependencies, anticipate downstream impacts, and drive alignment without authority while embedding repeatable program management standards across PSO and partner teams.

This will be an on-site position based within our Pittsburgh, PA office.

What You’ll Do

Client Onboarding & Launch Leadership

• Serve as the primary PSO lead for end-to-end client onboarding, driving operational readiness and execution in partnership with Growth, Product, Engineering, Operations, corporate, and other technical functions from definition through go-live and stabilization.
• Define scope, timelines, dependencies, project execution plans for streamlined and coordinated delivery.
• Ensure full operational readiness across workflows, product solutions, training, and operational capacity.
• Drive structured post-launch stabilization and transition to steady-state ownership.

Product & Operational Readiness

• Partner with Product and Engineering to prepare PSO for new feature launches and roadmap initiatives.
• Translate product requirements into clear operational action plans.
• Align stakeholders early to close context gaps and minimize downstream risk.
• Drive structured change management to ensure adoption and sustained operational performance.

Program Governance & Execution Discipline

• Build and manage detailed project plans across multiple concurrent workstreams.
• Capture key insights and action items from Ops WBRs (Weekly Business Reviews), and drive coordinated cross-functional follow-through.
• Proactively identify risks and dependencies that could impact delivery or business outcomes.
• Develop executive-ready reporting that provides visibility into progress, tradeoffs, and business impact.
• Partner with leadership to establish and maintain strong governance frameworks (status reporting, risk and issue management, escalation pathways, change control).

Escalation Ownership & Systemic Issue Resolution

• Serve as the central owner for operations-related client/field escalations.
• Conduct root cause analysis and drive durable cross-functional remediation.
• Identify and analyze recurring issues through a systems lens to address root causes, not symptoms, and drive durable cross-functional fixes.

Scaling & Continuous Improvement

• Identify systemic bottlenecks across onboarding and launch workflows, and design cross-functional process improvements that improve cost, speed, reliability, and scalability.
• Standardize and scale launch and delivery best practices to support increasing volume and complexity.
• Identify structural impediments to scale and partner with leadership to prioritize, design, and operationalize solutions.
• Continuously enhance program management frameworks within PSO to improve speed, quality, and predictability of delivery.

Must-Have Qualifications

• Bachelor’s degree or equivalent professional experience.
• Healthcare or pharmacy industry experience strongly preferred.
• 6+ years of experience in program management, project management, operations, product operations, or related roles in fast-paced, high-growth environments.
• Proven track record leading multiple concurrent, complex cross-functional initiatives end-to-end, managing interdependent workstreams, stakeholders, and deliverables (e.g., client onboarding, product launches, operational scaling).
• Hands-on experience working at the intersection of Operations, Product, Engineering, Growth/Sales, Data, and Knowledge Management.
• Technical fluency bridging business and engineering teams to define requirements, shape solutions, and inform roadmaps; comfortable using data and strategic context to guide prioritization and tradeoffs.
• Strong systems-thinking capability with the ability to connect cross-functional inputs, anticipate downstream impacts, and design scalable processes.
• Demonstrated ability to create clarity from ambiguity and drive alignment and execution without direct authority in matrixed organizations.
• Proven experience managing escalations, conducting root cause analysis, and leading structured cross-functional remediation.
• Structured, data-driven problem solver with high operational rigor, clear goal-setting, proactive risk management, and a bias for action.
• Highly organized and adaptable, able to manage shifting priorities without losing execution momentum.
• Excellent stakeholder management and relationship-building skills, with clear and concise written and verbal communication, including executive-level audiences.

Preferred Qualifications

• Experience scaling onboarding or operational frameworks in a live production environment.
• Track record of improving speed, cost, or quality through structured process design.
• Familiarity with lean or continuous improvement methodologies.

Position Overview

We are seeking an experienced IT Generalist to manage and support our IT infrastructure and security systems. This role is essential in supporting our high-tech environment, including our advanced robotics and AI research. The ideal candidate will be a proactive problem-solver who is adept at managing both hardware and software resources, ensuring smooth IT operations, and safeguarding our digital and physical assets.

Responsibilities

• Manage and troubleshoot IT infrastructure, including compute resources like GPU clusters and cloud environments.
• Administer access controls and implement security measures across all software platforms.
• Maintain and update IT equipment inventory, and oversee the IT setup for new employees.
• Develop and enforce IT policies to secure our robotics technology and intellectual property.
• Collaborate with technical teams to resolve IT issues and support the deployment and operation of advanced robotic systems.
• Ensure that our company website and internal tools are maintained and functional.

Preferred Qualifications

• Previous work experience as a: Systems Administrator, Network Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, or similar.
• Solid knowledge of system administration, network administration, and cloud infrastructure.
• Experience with enterprise security.
• Excellent problem-solving skills and the ability to work autonomously.

Position Overview

We are looking for a Senior Software Engineer to enhance the performance, reliability, and maintainability of our cutting-edge robotics systems in deployment. You will design, implement, and maintain software systems for deployment in real-world robotic products. This role involves leading discussions and collaborating with machine learning, deployment, test, and security engineers to ensure seamless integration of our machine learning models into practical applications. You will also define technical roadmaps and drive product and system architecture direction.

Responsibilities

• Architect, build, and maintain deployment software infrastructure and back-end services (e.g., model training infrastructure, AI developer tools, metrics dashboards).
• Lead teams to develop reliable software systems with robust testing, metrics, and logging mechanisms.
• Write and review code, develop documentation, create capacity plans, and debug on robot hardware.
• Collaborate with cross-functional teams to define technical roadmaps and drive the direction of product and system architecture.
• Share an on-call rotation with the engineering team to ensure system reliability and quick issue resolution.

Preferred Qualifications

• BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
• Minimum of 3 years of industry experience.
• Proficiency developing higher-level languages (e.g. Python, C++, or Java).
• Experience in configuration and maintenance of applications such as web servers, load balancers, relational databases, storage systems, and messaging systems.
• Knowledge of Linux OS fundamentals, memory management, and kernel.
• Experience learning software, frameworks, and APIs.
• Experience with enterprise security.
• Previous extensive work experience as a: Systems Engineer, Software Engineer, DevOps Engineer, Network Engineer, Systems Administrator, Linux Administrator, Database Administrator, Site Reliability Engineer (SRE), or similar.

About The Role

Join the Autonomy team as a Senior Software Engineer where you will architect and contribute to the core robot software platform by driving the development of critical software modules and their interfaces. You will establish a data-driven approach to system performance by building scalable telemetry and metrics infrastructure, alongside rigorous regression testing plans, to track KPIs and monitor long-term reliability. This high-impact role is essential for enabling the next phase of commercial scaling by ensuring the robot can reliably perceive, plan, and execute complex tasks within dynamic environments.

About The Work

• Drive the implementation of selected middleware solutions to optimize communication and scalability across the core software platform.
• Define, document, review, and enforce process boundaries and API contracts, driving organization-wide alignment.
• Collaborate closely across the robot software and architecture teams to solve complex, cross-functional problems and ensure robust performance on physical robot hardware.
• Own and maintain the large-scale regression pipelines to automatically measure critical autonomous behavior metrics and track key performance indicators (KPIs) across motion planning, navigation, and localization.

About You

• Demonstrated expertise in designing and implementing multi-process robot architectures and distributed systems. Proficiency with different robotics middleware solutions (e.g., ROS, DDS, custom messaging) and experience with inter-process/inter-machine communication.
• Strong experience developing and maintaining telemetry/metrics pipelines (e.g., using OpenTelemetry/Otel). Proficiency in querying and analyzing large datasets using SQL-like big data tools (e.g., Amazon Athena, Spark SQL) and time-series databases (e.g., Prometheus, InfluxDB).
• Demonstrated expertise in simulation at scale, including techniques like domain randomization and procedural content generation. Hands-on experience transitioning models/behaviors from simulation (e.g., Gazebo, MuJoCo, Isaac Sim) to real-world physical robot hardware.
• Proficiency in programming languages commonly used in robotics/testing (Python, C++).
• Experience with CI/CD pipelines (e.g., Git, Jenkins, GitHub Actions) and containerization technologies (e.g., Docker, Kubernetes) for scaling simulation and deployment environments.
• Deep understanding of robotics fundamentals, including kinematics, dynamics, controls, and perception.
• MS or Ph.D. in Robotics, Computer Science, or a related field, or equivalent industry experience.

Bonus Qualifications

• Familiarity with cloud storage solutions and data lakes (e.g., AWS S3, Google Cloud Storage).
• Hands-on experience creating impactful data visualizations and dashboards using tools like Datadog, Grafana, or Apache Superset.
• Experience training or deploying Reinforcement Learning (RL) agents for complex autonomous behaviors.
• Publications in top-tier robotics or related conferences (RSS, ICRA, IROS).

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.

About The Role:

The Senior Deployment Specialist will be responsible for supporting the execution of Agility's deployment strategy as well as performing robot operation onsite, general repair, troubleshooting, and support roles. This includes all technical services (at both Agility and customer sites), facilitating success in the following areas: Deployment, Break-Fix Support, Help Desk services, and all areas that will be needed to achieve the objectives of the business, achieving year-on-year growth. The candidate is responsible for helping to define, implement, and monitor processes and procedures required for successful service delivery and fleet management. 

The ideal candidate thrives under pressure and excels in high-stakes environments where plans may shift once onsite. They remain calm, adaptable, and solution-oriented when facing unexpected changes. This individual is confident working in the presence of executive leadership, media representatives, customers, and other high-profile stakeholders, maintaining professionalism and poise throughout.  This position has great potential for advancement in a rapidly growing company. 

About The Work:

• Support the day-to-day robot operations and service delivery for all robots including troubleshooting and repair
• Lead all robot activities for media events and customer demonstrations
• Support cross-functional teams to perform root cause analyses
• Gather metrics and KPI's for key elements to assess the quality of products and assist in operational process improvements
• Assist in the creation, implementation, and maintenance of cross-functional training, work instructions, best practices, and procedures to ensure consistency with customer needs, company goals, and industry best practices
• Identify and communicate resource needs and gaps for successful deployments
• Continually assess service performance levels and take timely action to remove performance barriers and reinforce procedures, policies, and guidelines
• Work with the engineering, service, and production teams to develop and manage preventative and predictive maintenance schedules including part consumption and order tracking along with long term forecasting
• Engage in cross-department communication to address emergent issues and service needs
• Support engineering and operations with testing and performance management
• Other activities as defined by manager to ensure successful deployments/events
• This remotely-based role requires extensive travel (75-100%).

About You:

• Bachelors degree or equivalent technical degree or experience
• Mechatronics troubleshooting, root causing, maintenance and repair
• Excellent hand tool skills
• Providing clear direction and detailed updates to management
• Operating in a fast-moving environment with tight deadlines
• Working both independently and collaboratively in a remote workforce environment
• Excellent analytical, verbal, written, and interpersonal communication skills
• Ability to follow cross departmental standard operating procedures
• Experience traveling independently
• Excellent customer communication skills

Bonus Points:

• Providing technical services to autonomous systems
• Experience with Jira and Confluence
• Experience with project improvement methodologies
• Proficiency in using Google Suite and the Linux Operating System
• Experience supporting high uptime (24/7), high-reliability systems in customer facilities

This is an onsite position at our Pittsburgh office.

The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to: job-related knowledge, skills, and experience. Agility Robotics is a multi-state employer and this salary range may not reflect positions who work in other locations. These ranges may be modified in the future.