Top Tech Jobs & Startup Jobs

Build a full-stack command-and-control platform for defense applications. Responsibilities include developing configurable frontend interfaces with 2D/3D visualizations, supporting live and simulated data, integrating with simulators and autonomous systems, and collaborating with Design to create intuitive mission-planning, monitoring, and debrief workflows. The role requires strong UI/UX judgment, spatial reasoning, and the ability to work on a rapidly iterating product team.

Develop and deploy learned manipulation policies on physical robots for industrial tasks. Responsibilities include demonstration collection, data curation, policy training and fine-tuning, real-robot evaluation, edge deployment, failure diagnosis, and performance optimization. The role covers tasks such as pick-and-place, bimanual handling, and contact-rich assembly, while improving success rate, cycle time, intervention rate, and transferability across robots.

Integrate autonomous drone systems from benchtop configuration through live flight testing. Configure embedded Linux and Docker software stacks, troubleshoot hardware, networks, sensors, and payload interfaces, develop Python and C++ tooling, fabricate wiring harnesses, solder electronics, configure communications, and lead integration efforts across software, GNC, and hardware teams.

Lead federal government affairs strategy for autonomy and AI policy. Build and maintain bipartisan Congressional relationships, draft legislative language and testimony, monitor appropriations and authorization activity, coordinate with business development and external partners, build coalitions, and represent the company to policymakers.

Build and maintain scalable HD mapping infrastructure for autonomous vehicles and robotics. Responsibilities include distributed simulation workflows, map creation and lifecycle systems, spatial query services, geospatial data tooling, map validation, troubleshooting autonomy failures, and customer collaboration. The role requires software engineering expertise across distributed systems, data pipelines, mapping, localization, and simulation.

Build and operate a self-service calibration platform for autonomous vehicle fleets. Responsibilities include onboarding vehicle types, debugging cloud and vehicle systems, orchestrating calibration workflows, creating automated data-health gates for sensor data, developing production tooling, and coordinating systemic reliability improvements across teams. The role requires strong Python and modern C++, cloud workflow orchestration, CI/CD, containerization, large-scale data pipelines, sensor and robotics knowledge, and experience with physical systems or hardware-in-the-loop.

Integrate autonomy software with vehicle platforms from architecture and interface definition through on-vehicle validation and handoff. Design compute, networking, power, sensor, and actuation systems; configure Linux and real-time platforms; develop drive-by-wire and sensor integrations; build test benches and automation; debug software-to-actuator issues; establish integration standards; mentor engineers; and support vehicle and test-track testing with approximately 10% travel.

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.