Company:

At Arrive AI (Nasdaq: ARAI), we’re not just building products—we’re transforming the future of the Autonomous Last Mile™ (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we’ve evolved to today where we deploy Arrive Points—smart lockers and mini-cross-docks for frictionless drone, robotic, and courier delivery, from medical supplies to meals to e-commerce. Arrive AI is now moving forward to scaling the ALM network and platform of the future for all autonomous delivery providers, services, and customers. We are the intelligent choice for the last inch of the Autonomous Last Mile™.

About Us:

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery.

The Role:

The HR Coordinator plays a critical role in supporting Arrive AI’s day-to-day HR operations while actively contributing to recruiting efforts—particularly for technical and manufacturing roles. This position blends hands-on recruiting coordination, employee lifecycle administration, and benefits and payroll support, making it ideal for someone who enjoys variety, structure, and impact in a growing organization.

This role is well-suited for an HR professional who wants broad exposure across HR disciplines and the opportunity to grow with a scaling technology company.

What You’ll Do

Recruiting & Hiring Support

• Coordinate and support full-cycle recruiting activities, including job postings, candidate screening, interview scheduling, and offer logistics
• Support recruiting for technical, engineering, manufacturing, and operations roles (technical background preferred)
• Maintain applicant tracking system (ATS) data accuracy and candidate communications
• Assist with onboarding preparation and first-day experience for new hires

HR Operations & Employee Lifecycle

• Support onboarding, offboarding, and employee record management across HR systems
• Maintain accurate employee files and HR documentation in compliance with company and legal requirements
• Respond to employee questions related to HR policies, benefits, payroll, and general HR processes

Benefits Administration

• Assist with benefits enrollment, changes, and employee education
• Coordinate with benefits providers and brokers to resolve employee inquiries
• Support open enrollment planning and communications

Payroll Support

• Assist with payroll processing, audits, and data validation
• Coordinate payroll changes related to new hires, terminations, and employee updates
• Partner with finance and external payroll providers to ensure timely and accurate payroll

Process Improvement & Compliance

• Help document HR processes and standard operating procedures
• Support compliance initiatives related to employment eligibility, record retention, and HR reporting
• Identify opportunities to improve efficiency, accuracy, and employee experience

Why Arrive AI

• Broad exposure across recruiting, benefits, payroll, and HR operations
• Opportunity to grow into an HR Generalist or People Partner role
• High-impact role in a rapidly scaling technology and manufacturing company
• Collaborative, hands-on environment with real ownership of a quickly scaling team.

What We’re Looking For

Required Qualifications

• 2–4 years of experience in an HR Coordinator, Recruiter, HR Generalist, or People Operations role
• Hands-on experience supporting recruiting and hiring processes
• Working knowledge of benefits administration and payroll support
• Experience using HRIS and ATS platforms
• Strong organizational skills and attention to detail
• Ability to handle sensitive and confidential information with discretion

Preferred Qualifications

• Experience recruiting for technical or engineering
• Familiarity with fast-growing or startup environments
• Exposure to compliance requirements (I-9, E-Verify, record retention, etc.)
• Bachelor’s degree in Human Resources, Business Administration, or related field

Company: 

At Arrive AI (Nasdaq: ARAI), we're not just building products—we're transforming the future of the Autonomous Last Mile™ (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points—a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile™. 

About Us: 

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery. 

Product Team 

You’ll be joining Arrive AI’s Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world’s first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we’re driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life’s best work, shape the future, and share in the success. 

 The Role: 

We’re seeking an AI Computer Scientist for Robotics to advance robotic intelligence, multi-modal perception, and planning models for the Arrive Point platform and the ALM ecosystem. 

This isn’t simply an implementation role — it’s a frontier research and applied AI position. You’ll be responsible for developing and tuning foundational models for robotics motion, vision, and reasoning, while also leading work in multi-modal models that combine vision, language, gestures, and environmental context for seamless human-robot and robot-world interactions. 

You’ll create algorithms, pipelines, and training frameworks that allow our autonomous systems to: 

• See (computer vision, 3D mapping, object detection) 
• Understand (multi-modal comprehension of tasks, user intent, and environmental cues) 
• Plan & Act (motion planning, decision-making under uncertainty) 

 What You’ll Do: 

• Invent New Algorithms: Research and develop AI algorithms for motion planning, computer vision, and decision-making for drones, cobots, and autonomous devices. 
• Multi-Modal Model Development: Design, fine-tune, and deploy multi-modal foundational models that integrate vision, voice, text, gesture, and physical-world signals for intuitive end-user and environmental interactions. 
• Tame Foundational Models: Adapt and extend robotics and multi-modal foundational models for real-world deployments, balancing lab performance with production constraints. 
• Lead One-Shot & Few-Shot Training: Build frameworks for one-shot and few-shot learning to let robots generalize new skills from limited data. 
• Build Continuous Learning Pipelines: Architect data systems to collect real-world data, capture edge cases, and feed back into model retraining for continuous improvement. 
• Design Planning & Reasoning Engines: Work on algorithms for real-time planning, navigation, and multi-agent coordination, ensuring systems can make smart decisions on the fly. 
• Leverage Simulation Tools: Use NVIDIA Isaac, Omniverse, Cosmo, and Gr00T for training, simulating, and validating models before physical deployment. 
• Cross-Disciplinary Collaboration: Work alongside robotics engineers, software developers, and product designers to turn advanced AI into practical, safe, and delightful user experiences. 
• Contribute Thought Leadership: Stay ahead of research in robotics AI, multi-modal interaction, and foundation models — and help Arrive AI shape the industry narrative. 
• 
  

What We're Looking For: 

• Advanced Education: PHD (or equivalent research depth) in Computer Science, AI/ML, Robotics, or a closely related field. 
• Leadership Acumen: History of forming, growing and managing teams of Data Scientists and Robotic Engineers
• Robotics AI Research: Proven contributions in robotic perception, planning, control, or multi-modal AI (papers, patents, open-source contributions, or industry breakthroughs). 
• Multi-Modal Model Expertise: Experience working with vision-language-action models and combining multiple modalities for user interaction and physical-world understanding. 
• Foundational Model Skills: Hands-on experience adapting and tuning foundational models for robotic and multi-modal use cases. 
• Learning Innovation: Depth in one-shot, few-shot, reinforcement learning, and transfer learning for robotics or automation. 
• Data Systems Mastery: Experience designing data pipelines for AI — from collection to annotation to edge-case ingestion and continuous model retraining. 
• Programming & Tools: Advanced skills in Python and C++, plus frameworks like PyTorch, TensorFlow, and ROS; NVIDIA ecosystem knowledge (Isaac, Omniverse, Gr00T) is a major plus. 
• Domain Awareness: Familiarity with IoT, collaborative robots (cobots), and edge AI systems that blend digital intelligence with physical devices. 
• Problem-Solving Mindset: Ability to turn messy real-world robotics challenges into structured AI problems and solve them with elegant, scalable approaches. 
• Collaborative Spirit: Excels at working across disciplines — bridging deep research with engineering realities. 
• Adaptability: Energized by startup speed and the chance to take research breakthroughs into the field fast. 

 Additional: 

• Expect to travel up to 5 days per month. 
• Responsibilities include all other duties as assigned.

Compensation: 

•  Salary is market competitive with a high equity incentive – be an owner and grow with Arrive AI. 

Company: 

At Arrive AI (Nasdaq: ARAI), we're not just building products—we're transforming the future of the Autonomous Last Mile™ (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points—a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile™. 

About Us: 

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery. 

Product Team 

You’ll be joining Arrive AI’s Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world’s first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we’re driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life’s best work, shape the future, and share in the success. 

 The Role: 

We’re seeking a PhD Operations Research Specialist to design and optimize the mathematical backbone of Arrive AI’s ALM platform. You’ll create the models, algorithms, and decision frameworks that power how drones, robots, couriers, and lockers interact—from routing and scheduling to inventory placement and marketplace dynamics. 

This is a role for someone who loves turning complex, multi-variable logistics challenges into solvable models, and who wants their work to directly impact the efficiency, economics, and scalability of an emerging autonomous delivery network. 

 What You’ll Do 

• Model Complex Operations: Develop optimization and decision models for core ALM challenges: 
• Multi-modal routing and scheduling for drones, robots, and couriers. 
• Inventory positioning and dynamic stocking for Arrive Points across a region. 
• Marketplace balancing for multiple delivery partners, customers, and services. 
• Capacity allocation and real-time dispatch for mixed fleets. 
• Design Algorithms for Scale: Create algorithms for large-scale combinatorial problems (e.g., vehicle routing, stochastic demand planning, facility location). 
• Integrate OR + AI: Collaborate with data scientists and AI engineers to combine predictive models (e.g., demand forecasts) with prescriptive optimization for actionable decisions. 
• Simulate & Validate: Use digital twins and scenario simulations to test optimization strategies against real-world constraints (weather, traffic, service-level targets). 
• Optimize Trade-Offs: Develop models that balance cost, speed, carbon footprint, and service reliability to align with business and regulatory goals. 
• Provide Strategic Insights: Translate modeling results into roadmaps and decision frameworks for product managers, engineers, and leadership. 
• Collaborate Cross-Functionally: Work closely with engineering, robotics, and product teams to ensure models are practical, implementable, and drive measurable improvement. 

What We're Looking For:

• Advanced Education: PhD in Operations Research, Industrial Engineering, Applied Math, or a related field. 
• Research-to-Application Experience: 3+ years of experience applying OR in real-world systems (logistics, transportation, supply chain, or marketplaces). 
• Optimization Expertise: Deep knowledge of linear, integer, stochastic, and network optimization, plus familiarity with routing, scheduling, and facility location problems. 
• Programming & Tools: Proficiency in Python, Julia, or similar, with hands-on experience using optimization libraries (CPLEX, Gurobi, OR-Tools). 
• AI + OR Fluency: Understanding of how machine learning and AI (e.g., demand prediction, clustering, reinforcement learning) can be integrated into optimization workflows. 
• Preferred Domains: Exposure to multi-modal logistics, autonomous systems, or marketplace modeling is a big plus. 
• Innovative Thinking: Ability to formulate new problems, explore trade-offs, and craft algorithms that deliver practical impact. 
• Collaborative Spirit: Skilled at working with multidisciplinary teams—turning abstract math into concrete, scalable systems. 
• Adaptability: Thrives in a fast-paced, exploratory environment where new constraints and opportunities emerge rapidly. 

 Additional: 

• Expect to travel up to 5 days per month. 
• Responsibilities include all other duties as assigned.

Compensation: 

• Salary is market competitive with high equity incentive – be an owner and grow with Arrive AI. 

Company: 

At Arrive AI (Nasdaq: ARAI), we're not just building products—we're transforming the future of the Autonomous Last Mile™ (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points—a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile™. 

About Us: 

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery. 

Product Team 

You’ll be joining Arrive AI’s Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world’s first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we’re driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life’s best work, shape the future, and share in the success. 

 The Role: 

We’re seeking a Senior Mechanical Engineer to design, prototype, and refine the mechanical systems that form the core of our Arrive Point hardware. You’ll work on everything from robotics interfaces and actuators to HVAC, power management, and structural components, ensuring our products are robust, manufacturable, and ready for real-world use. 

This role requires someone who is comfortable leading mechanical decisions while collaborating with electrical, robotics, and systems engineers—and who can design with an eye toward AI integration, creating mechanical systems that work hand-in-hand with intelligent control and automation. 

• What You’ll Do: Design Advanced Mechanical & Lighting Systems: Lead mechanical and optical integration for Automatic Light and ADAD safety systems, designing enclosures, mounting structures, and actuator interfaces using Catia V5, Siemens NX, and Alias Automotive Studio. Ensure alignment between mechanical, electronic, and optical components for maximum performance and manufacturability.
• Design Digitally First: Use advanced CAD, FEA, and digital simulation tools within PLM systems (Dassault, Siemens TeamCenter) to validate designs early—covering materials, tolerances, thermal management, and vibration performance before physical builds.
• Integrate Mechatronic Components: Engineer seamless integration of actuators, sensors, cameras, and lighting elements within ADAD frameworks. Collaborate closely with robotics, AI, and electrical engineering teams to ensure precise system motion, control, and feedback performance.
• Prototype & Test: Build and iterate functional prototypes for Automatic Light modules, drive-assist sensors, and mechanical sub-systems. Conduct validation testing for environmental, vibration, and regulatory compliance, ensuring designs meet or exceed automotive standards.
• Optimize for Production: Apply VAVE (Value Analysis / Value Engineering) and Design-to-Cost principles to scale from concept to high-volume manufacturing.
• Coordinate with suppliers on materials, tooling, and production feasibility for injection-molded, sheet-metal, and LED-integrated assemblies.
• Collaborate Across Disciplines: Partner with optical, electrical, and AI engineers to ensure unified system behavior between mechanical motion and smart, adaptive lighting control. Translate OEM studio and design intent into technically feasible production solutions.
• AI-Driven Mechanical Design: Create mechanical architectures that support AI-enabled perception and adaptive response, allowing the product to adjust beam patterns, angles, and sensor visibility dynamically based on driving conditions and environment.
• Visualization & Communication: Develop high-impact design presentations and animations using KeyShot, Photoshop, After Effects, and Premiere Pro to visualize system function for internal teams, OEM partners, and trade shows like CES and NAIAS.

Compensation: 

• Salary is market competitive with high equity incentive – be an owner and grow with Arrive AI. 

Company: 

At Arrive AI (Nasdaq: ARAI), we're not just building products—we're transforming the future of the Autonomous Last Mile™ (ALM). Over a decade ago, we started with a pioneering vision and patents for the first smart mailbox for drone delivery. Through systematic research, development, and deep customer collaboration, we've evolved to today where we deploy Arrive Points—a type of smart locker and mini-cross-docks for frictionless drone, robotic, and courier delivery and pickup, utilized from medical supplies to meals to e-commerce. Arrive AI is now growing and investing to scale an ALM network and platform of the future for all autonomous delivery providers, services, and customers. Arrive AI is the intelligent choice for the last inch of the Autonomous Last Mile™. 

About Us: 

We move fast, balancing strategy with opportunity. We are merit-based, valuing integrity, innovation, and treating others as we want to be treated. At Arrive AI, every employee is an equity holder and a business owner. Our shared vision, ownership, and culture fuel our mission to revolutionize autonomous delivery. 

Product Team 

You’ll be joining Arrive AI’s Product Team to revolutionize Autonomous Last Mile (ALM) logistics by transforming over a decade of research, design, and customer collaboration into the world’s first autonomous logistics network and platform. Our fast-paced skunkworks team rapidly iterates, prototypes, and develops next-generation Arrive Point units, networks, and AI-powered platforms. By integrating cutting-edge hardware, robotics, IoT, software, data, AI, and manufacturing, we’re driving a bold roadmap for ALM innovation. Based in Fishers, IN, we offer a unique opportunity to do your life’s best work, shape the future, and share in the success. 

 The Role: 

What You'll Do:

• Design, build, and operate full-stack software systems that power the Arrive Point platform
• Architect cloud-native services and APIs that support real-time, IoT-connected hardware in production
• Collaborate closely with hardware and AI teams to integrate software, embedded systems, and AI models
• Build and support GPU-accelerated and edge-to-cloud workflows leveraging NVIDIA technologies
• Prototype, test, and iterate rapidly to validate new platform capabilities and product features
• Own software quality from design through deployment, including testing, performance tuning, and reliability
• Improve developer experience through tooling, CI/CD pipelines, observability, and automation
• Contribute to engineering best practices and mentor teammates through reviews and technical guidance

What We're Looking For: 

• Development Experience: 8–12+ years of professional experience in full-stack and/or backend software engineering
• Proven track record building and operating production systems at scale
• Strong experience with cloud-native architectures, APIs, and distributed systems

Required Technical Skills

• Rust experience for systems-level or performance-critical components
• Experience working with NVIDIA technologies, including GPU-accelerated workloads, edge computing, or AI infrastructure
• Strong proficiency in modern languages such as JavaScript/TypeScript and Python

Platform & Systems Knowledge

• Experience with containerization, CI/CD pipelines, and production deployments
• Familiarity with databases, microservices, and scalable infrastructure

AI & Product Mindset

• Experience integrating AI models into production systems
• Enthusiasm for applying AI tools to improve developer productivity and system capabilities
• Comfort working across cloud, edge, and hardware-influenced environments

Collaboration & Culture Fit

• Strong communicator who collaborates effectively across engineering disciplines
• Enjoys mentoring, sharing knowledge, and raising the technical bar for the team
• Thrives in fast-moving, iterative startup environments

Nice to have:

•  Familiarity with 3d Simulation such as Unity, Unreal Engine and Omniverse. 
• Experience with IoT, robotics, logistics, or hardware-adjacent systems is a strong plus

Additional: 

• Possible travel up to 5 days per month. 
• Responsibilities include all other duties as assigned.

Compensation: 

•  Salary is market competitive in high equity incentive - be an owner and Grow with Arrive AI 

We’re building our pipeline of top talent for exciting roles coming in Q3 2025! If you have experience in Engineering, Software Development (including Full Stack), Project Management, Field Service, Sales, or Account Management, we want to connect with you now.

Preferred candidates bring backgrounds in manufacturing, robotics, collaborative robots (CoBots), or AI-driven solutions and thrive in innovative, fast-paced environments.

All Q3 positions are Co-Located at our Fishers, Indiana Office right off the 116th Street Exit.

By joining our Talent Community today, you’ll be among the first to hear about these upcoming opportunities and position yourself for success when roles go live. Apply now to stay on our radar!

We will be posting new positions often so please feel free to check back and apply to the position that fits you to expedite our response.

Thank you for your interest in Arrive AI!