Jobs at Applied Industrial Technologies

Own vehicle systems integration from hardware and sensor architecture through harnessing, sensor tuning, drive-by-wire coordination, and autonomy integration. Lead procurement decisions, vehicle builds, hardware installations, demo preparation, and operational site setup. Collaborate across mechanical, hardware, embedded, controls, and autonomy teams to resolve integration risks and deliver working systems. Extensive domestic and international travel, including multi-week onsite assignments, is required.

Defines system requirements and architectures, integrates software onto autonomous vehicles and defense systems, and deploys and validates robotics, sensor, perception, communication, and autonomy systems. The role includes field testing, simulation, troubleshooting, system modeling, cross-functional collaboration, and technical documentation in operationally challenging environments.

Deploys, integrates, and operationalizes vehicle intelligence products for customers in complex environments. Combines software engineering, operating system configuration, system deployment, hardware integration, and customer engagement. Designs scalable architectures, bridges customer systems with Applied Intuition solutions, collaborates across engineering and product teams, and owns technical outcomes through project completion while adapting to changing requirements.

Lead the technical roadmap, architecture, and execution of machine-learning behavior prediction and planning systems for autonomous vehicles. Develop production ML algorithms that generate driving trajectories, guide architecture reviews, collaborate with perception, planning, and research teams, and mentor engineers. The role requires hands-on technical leadership across model development, evaluation, deployment, optimization, and scalable software infrastructure.

Partner with engineering and program leaders to design and execute hiring strategies for defense-focused software and ML engineering roles. Source, evaluate, and close cleared and non-cleared talent; run structured interviews; build pipelines into defense talent communities; report hiring metrics; and deliver an excellent candidate experience while scaling a high-priority defense team.

Own customer-facing technical program management for a flagship Vehicle OS deployment with a global automotive OEM. Establish milestones, scope, risks, dependencies, governance, KPIs, and escalation processes. Coordinate delivery across multiple engineering teams, serve as the primary customer interface, and ensure integration into the customer’s vehicle program. The role requires automotive technical program management experience, executive-level customer presence, and sufficient technical depth across software vehicle and integration domains.

Own and optimize the legal department’s technology stack, including CLM, privacy, procurement, and ticketing systems. Lead technology evaluations, implementations, integrations, migrations, upgrades, automation, and AI initiatives while ensuring privacy and compliance. Partner with Legal, Finance, Procurement, and IT to improve workflows, manage vendors, track metrics, and deliver training and support. Serve as project manager for concurrent cross-functional initiatives and recommend continuous process improvements.

Manage and mentor software engineers developing reliable, performant simulation products. Partner with product management to build Axion and VehicleSim products, provide technical guidance, prioritize work, uphold software quality, recruit engineers, and serve as technical owner for a revenue-generating product.

Designs and reviews schematics and PCB layouts for compute, sensor, and interface hardware used in autonomous vehicles and industrial equipment. Supports hardware bring-up, troubleshooting, validation, documentation, prototyping, production ramp, and vendor coordination. Collaborates with firmware, software, and mechanical engineering teams to integrate embedded systems and deliver reliable hardware into production programs.

Design automotive wire harnesses, electrical interconnects, and CAD assemblies; build and maintain hardware-in-the-loop test benches; perform ECU firmware bringup and debug vehicle communication interfaces. Develop BOMs, specifications, scripts, and automation tooling while collaborating with senior engineers, suppliers, OEMs, and cross-functional teams to validate electrical systems from schematic through running vehicle.

Design, analyze, integrate, and validate mechanical systems for self-driving vehicles, including sensor suites, compute assemblies, interiors, test fixtures, and hardware. Perform structural and thermal analysis, quality control, testing, documentation, and cross-functional engineering work. The role emphasizes scalable, manufacturable designs and hands-on fabrication in lab and vehicle garage environments.

Create and maintain high-definition maps for L4 autonomous vehicles using lidar, imagery, point clouds, and 3D spatial datasets. Digitize road geometry and semantic attributes, apply precise mapping specifications, validate revisions, troubleshoot map-related disengagements, and provide feedback on tooling and workflows. Collaborate with software engineers using Git, GitHub, Jira, Google Workspace, and Slack.

Design, build, and operate multi-cluster Kubernetes infrastructure across cloud providers. Develop secure multi-tenant platform primitives, sandboxed execution environments, and scalable infrastructure for AI and distributed workloads. Act as a solutions architect for internal customers, improve developer tooling, debug distributed systems, lead production incidents and postmortems, and mentor engineers while driving platform reliability and security.

Designs and integrates robotic autonomy and vehicle intelligence systems across hardware and software. Responsibilities include deploying autonomy solutions on embedded Linux and UAV platforms, integrating autopilots, sensors, datalinks, and ground stations, troubleshooting system issues, conducting SIL/HIL testing, supporting live flight tests, and collaborating with vendors, autonomy engineers, and defense customers. Frequent travel supports on-site integration and demonstrations.

Build a Physical AI security platform covering threat modeling, cyber risk analysis, intrusion detection, security testing, investigations, and agentic workflows. Develop full-stack features with TypeScript, React, and a typed backend language; integrate web applications, AI agents, and autonomous devices; deploy LLM-powered capabilities; and model relational domains with traceability and durable asynchronous workflows.

Drive business development for Applied Intuition’s industrial solutions, primarily in construction and adjacent sectors. Identify and engage potential customers, conduct discovery sessions, host workshops, tailor demonstrations, and collaborate with Product and Engineering on customer solutions. Guide technical scope, business models, and proposals through customer approvals while developing revenue strategies. The role requires construction or mining industry sales or business development experience, strong stakeholder and project management skills, customer engagement ability, and fluency in Japanese and English.

Manage full-lifecycle recruiting for sales, engineering, and administrative roles in Japan, partnering with business and engineering leaders and senior U.S. managers. Approximately 70% of hiring will focus on engineering positions. The recruiter will help expand the company’s presence in Japan, make hiring decisions collaboratively, and travel to Sunnyvale headquarters for initial onboarding. Japanese and English fluency are required; software-industry recruiting experience is preferred.

Develop software products, features, and tools supporting autonomy development workflows. Work across full-stack, infrastructure, robotics, and graphics systems; collaborate with domain experts and users; solve complex engineering problems; take ownership of technical and product decisions; and build expertise in autonomy technologies. Preferred experience includes frontend and API development, containerization, cluster orchestration, simulation, physical modeling, robotics middleware, and Python, C++, or JavaScript.

Deploy and integrate autonomy products with customers in real-world environments. Develop software, infrastructure, robotics, and systems solutions across the technology stack, while owning projects from development through deployment. Collaborate with customers, engineers, and product teams to solve technical problems, make product decisions, and develop expertise in new tools and environments.

Support vehicle platform security assessments and help design secure boot processes for embedded devices. Partner with hardware engineers on HSM integration, encryption, key management, and cryptographic operations. Collaborate with software, hardware, QA, and product teams to integrate security throughout product development. This entry-level role provides mentorship while developing expertise in embedded and automotive cybersecurity.