Top Tech Jobs & Startup Jobs

Build core agent harnesses, long-horizon planners, and orchestration for humanoid robots. Implement conversational voice stacks (STT->LLM->TTS), backend services, edge-to-cloud deployments, and evaluation/observability to industrialize reliable embodied agents. Collaborate cross-functionally to move prototypes to production.

Operate and maintain on-site Linux infrastructure for robot training: provision, patch, harden, and automate servers with Ansible and scripts; run and monitor data pipelines through Nutanix HCI to cloud; collaborate with HQ IT and vendor support; support developers and maintain runbooks.

Secure cloud-native platforms and AppSec toolchains, run risk-based vulnerability management, perform STRIDE threat modeling, support NIS2 compliance, define secure coding/API standards, review secure architectures (including AI/ML pipelines), and align cloud and embedded security across robot systems.

Deliver hands-on Python training using Neura.py, support trainees in programming workflows and external device integration (grippers, cameras, microphones), create and maintain training materials and demos, assist with debugging and application development, and update content to reflect product changes and feedback.

Administer, maintain, and optimize CAD/PLM/PDM systems (CREO, SolidWorks, NX, Windchill); manage templates, assembly structures, libraries, licenses and permissions; install and patch CAD software; support engineers and integrate tools into workflows; provide training and contribute to migrations and tool rollouts.

Lead design and ownership of the NEURAGym cloud platform: architect end-to-end data ingestion, processing pipelines, model training/deployment on AWS, enforce IaC/CI/CD/observability/security standards, guide engineers, and translate product and ML research needs into scalable architectures.

Lead and manage a hands-on team of data operators and interns in a physical robot training facility (NEURAGym). Optimize shop-floor processes, track KPIs, coordinate staffing for data collection campaigns, support hiring, and liaise with stakeholders and robotics/AI teams to resolve technical challenges and shape hiring and skills development.

Lead a sub-team of AI engineers to set technical direction, transition research to production on robot hardware, define evaluation and deployment standards, collaborate cross-functionally, unblock engineering work, and grow team capability.

Own the top-level hardware architecture for a humanoid robot platform: define compute, power, communication, and sensing architectures; translate requirements into hardware constraints; govern standards; select technologies; ensure DFM/DFT and manufacturability; integrate with software/AI teams; mentor engineers.

Lead technical architecture for the full robot communication stack from real-time drive buses through middleware to cloud connectivity. Own API governance, fieldbus protocol integration, DDS/ROS2 standards, gRPC/protobuf contracts, and hands-on implementation. Write RFCs, lead cross-team reviews, mentor engineers, and reduce knowledge concentration with design artifacts.