Top Tech Jobs & Startup Jobs

The Software Engineer, Test Infrastructure will design and develop scalable test infrastructure, improve software quality, and automate testing processes for robotics platforms.

Review and QA/QC BIM models produced from point-cloud and reality-capture data, validate accuracy against scans and drawings, identify modeling issues, produce actionable reports, and help develop automated scripts, rules, and scalable workflows to streamline scan-to-BIM processes.

As a ROS Developer, you will develop robotic applications using ROS/ROS2, integrate sensors, implement data processing pipelines, and collaborate on autonomy solutions for real-world applications.

As an Embedded Compute Engineer, design, integrate, and optimize computing systems for robotics, focusing on performance, reliability, and scalability in field environments.

Design, build, and maintain data ingestion pipelines and integrations from intermittently-connected robots to analytics, ML training, and operations. Implement SDKs, connectors, schema contracts, retries, backfills, monitoring, and optimize pipeline performance, scalability, and cost. Collaborate with robotics, autonomy, and deployment teams to ensure reliable end-to-end data delivery and quality.

The Sensor Systems Engineer will design, integrate, calibrate, and validate sensing systems for robotics, ensuring accurate data collection in various environments.

Build and operate the cloud foundation for the data platform: design compute, storage, and networking; manage IaC and GitOps; provision for large-scale sensor and ML workloads; own reliability, security, observability, cost management, and internal tooling to enable pipeline and analytics teams.

Lead the development of reinforcement learning-based locomotion controllers for legged robots, focusing on designing and testing agile policies in real-world scenarios.

Design and build a scalable data platform and tooling for robotics/autonomy data ingestion, integration, and delivery. Build SDKs, connectors, and APIs (REST/gRPC, webhooks, CDC) to integrate diverse sources and downstream ML/BI systems, ensure schema/versioning/reliability, and optimize pipeline performance, scalability, and cost.

Lead large, complex enterprise technology programs from scoping through deployment and handoff. Act as executive-level customer liaison, build integrated program plans, manage budgets, risks, and interdependent workstreams, and coordinate Technical Project Managers to ensure on-time, on-budget delivery and enterprise-scale adoption.