Top Entry Level Robotics Jobs

Install and configure Corvus One hardware systems, manage implementation projects, respond to robotics operations, and educate customers on AI.

The Reserve Engineer supports hardware maintenance and repair for robotics at client sites, ensuring operational efficiency and customer satisfaction.

Develop and own robotics controls testing, validation, and hardware-in-the-loop infrastructure. Define repeatability and accuracy metrics, expand automated testing, validate new hardware integrations, and diagnose failures across controls, firmware, and hardware. Build observability and diagnostic tooling, perform real-robot bring-up, and maintain engineering documentation and runbooks. The role requires strong control theory, modern C++, Python, robotics hardware experience, data analysis judgment, and cross-stack debugging skills.

Design and deploy high-performance whole-body and motion-control systems for dexterous manipulators and humanoid robots. Responsibilities include impedance and torque control, optimization-based controllers, collision avoidance, real-time software integration, simulation-to-hardware deployment, controller tuning, and diagnosing control failures during teleoperation and autonomous runs.

Own supplier industrialization for wire harness and FPC/FFC assemblies from advanced development through mass-production qualification. Provide design-for-manufacturing guidance, assess supplier readiness, audit manufacturing processes, verify capacity, resolve supplier-caused quality issues, lead corrective actions, and support manufacturing quotations. Partner with engineering teams and contract manufacturers to improve quality, cost, responsiveness, and process efficiency.

Supports robotics customers with LiDAR sensor onboarding, network configuration, SDK/API setup, technical triage, diagnostics, and troubleshooting across hardware, firmware, networking, Linux, and Windows environments. Reviews logs and network captures, documents bugs in Jira, replicates issues, guides customers on best practices, contributes to knowledge-base materials, and provides email, video, and phone support while escalating complex cases to senior engineers.

Develop and deploy software for autonomous metal 3D printing factories. Responsibilities include architecting production-scale software, integrating control algorithms, scaling high-rate data acquisition systems, and converting customer geometries into machine print instructions. The role involves collaboration with process, controls, and mechanical engineers to deliver reliable, high-performance systems across controls, embedded computing, GPU/FPGA computing, and geometry processing.

Develop and maintain software tools and platforms for interactive LEGO products using C# .NET, C/C++, AvaloniaUI, and Python. Collaborate on developer-focused tools, architecture, automated testing, CI/CD pipelines, and toolchain automation. Improve software quality, performance, scalability, and developer efficiency while integrating cloud endpoints and backend services. Mentor junior engineers and take ownership of delivered solutions in an agile environment.

Develop embedded software and firmware in C and C++ for robotics, autonomous systems, medical devices, defense technologies, and commercial products. Integrate sensors, actuators, communication interfaces, microcontrollers, RTOS platforms, and embedded Linux. Debug software and hardware on custom prototypes, implement requirements, write automated tests, support build and integration workflows, and collaborate across engineering disciplines throughout product development.

Lead a team of five forward deployed engineers responsible for customer production deployments. Own deployment architecture, prioritization, technical escalations, customer leadership relationships, staffing, and delivery schedules. Coach engineers, make systems integration decisions across SDKs and edge/cloud architectures, and translate field learnings into product priorities. The role requires strong systems judgment, enterprise customer credibility, technical fluency, and comfort working with hardware, physical systems, unreliable networks, and incomplete information.