Top Tech Jobs & Startup Jobs

The role involves collaborating with the CFO on strategic initiatives, conducting analyses across various sectors, and leading cross-functional projects to drive operational efficiency and support decision-making.

As a Robotics Software Engineer - Robot Integrations, you'll integrate new robotic platforms, develop robot drivers, and ensure system performance in various environments.

The Legal Counsel will drive commercial strategies, negotiate complex agreements, and provide legal advice to sales teams in a tech environment.

As a Senior Machine Learning Platform Engineer, you will manage ML infrastructure, optimize pipelines, mentor junior engineers, and ensure observability and compliance in production environments.

As a Forward Deployed Engineer, you'll manage deployment and integration of AI systems, ensuring performance and reliability in customer environments while collaborating with teams to drive improvements.

Design and develop scalable full-stack applications using various technologies, collaborate with teams, and optimize performance in robotics AI systems.

The Robotics Autonomy Engineer will develop and implement autonomy software, integrate systems, conduct field testing, and collaborate across teams for performance enhancement in robotic solutions.

The Robotics Autonomy Engineer will design and deploy motion planning and control algorithms for robots, focusing on navigation and trajectory generation in unpredictable environments.

Design, build, and maintain production data pipelines and infrastructure for robot telemetry, logs, sensor data, and events. Implement ingestion, transformation, and orchestration (Airflow), backend services/APIs, and AWS-based storage/processing. Improve reliability with monitoring, retries, schema validation, and data quality checks. Collaborate with robotics, ML, and deployment teams to scale data systems for fleet operations.

Build and maintain CI/CD pipelines and cloud-native, containerized infrastructure (Kubernetes/Docker) for robotics and AI systems. Deploy and support workloads across cloud and edge, improve developer workflows through automation, and collaborate with robotics, ML, and platform teams to ensure reliability, observability, and scalable deployments for distributed robotic systems.