Top Tech Jobs & Startup Jobs

Develop and maintain responsive full-stack web interfaces and backend Python systems for an edge AI vision product. Build, deploy, test, and iterate on features managing data capture, labeling, training, and operator workflows. Collaborate with AI teams to prototype and ship user-facing features, prioritize UX, and optimize for resource-constrained and hardware-integrated environments.

The Staff Embedded Software Engineer will design, build, and maintain software for NVIDIA Jetson-based edge AI cameras. Responsibilities include developing application code, implementing OTA updates, debugging Linux systems, and collaborating with hardware vendors.

Own and operate the company-wide automated E2E test platform: build nightly CI/CD pipelines against real hardware (NVIDIA Jetson), manage physical test rigs and HIL infrastructure, eliminate flakiness, validate production signal paths (PLC/EtherNet-IP, digital I/O, HDMI), enable squad-level SDETs with frameworks and device pools, and triage system-level failures spanning hardware, OS, networks, and edge containers.

Lead a team to manage technical deployments in manufacturing, ensuring stable installations and high customer satisfaction. Responsibilities include project management, team leadership, and building operational infrastructures for scaling deployments.

Design, build, and maintain software for edge AI cameras. Requires strong Embedded Linux experience, C++, and Python skills. Prioritize reliability and performance across OS and application stack.

The Applications Engineer installs and integrates AI vision systems on production lines, troubleshoots issues, and provides customer support in manufacturing environments.

The Systems Integration Engineer will lead mechanical integration of AI camera systems in automation machines, ensuring robust designs and optimal field performance while supporting new line deployments and training customer teams.

The System Integration Engineer will oversee mechanical integration of AI cameras in automation machines, reviewing CAD designs and ensuring installations are robust and scalable. They will also provide on-site field applications engineering support, troubleshoot integration issues, and train customers on best practices.

Design, build, and maintain systems and application-level software for NVIDIA Jetson devices including OTA updates, Python code, and Linux system debugging.

The Vision Sales Engineer will manage sales in California, focusing on converting customer successes into expanded factory deployments of AI technology. This role involves technical selling, maintaining relationships, and driving urgency in closing sales.