Top Robotics Jobs in Denver & Boulder, CO

The Technical Product Manager will lead product development for safety-critical software, engaging with users and collaborating across teams to define requirements and deliver impactful solutions.

Lead the design and development of localization and mapping algorithms for humanoid robots, ensuring effective navigation and motion planning. Collaborate across teams to align perception capabilities with product requirements.

The Recruiter at Formic will source and guide candidates through the hiring process, partnering with managers to define needs and assess talent fit, particularly in technical and operational roles.

The Senior Financial Analyst will provide financial insights to drive operational efficiency and support budgeting and forecasting for Technology, along with leading projects andad hoc analyses.

The Head of Business Development will lead a global team of SDRs, focusing on creating a high-performance culture, refining pipeline processes, and driving collaboration across departments to ensure effective pipeline management and development.

The Senior Robotics Engineer will enhance motion control systems, integrate AI-driven technologies, and innovate intelligent robotic behaviors for warehouse automation.

Oversee liquid portfolio management by developing strategies, managing risks, and leading investment decisions while ensuring alignment with company goals.

Bedrock seeks a diverse range of talent including software engineers, roboticists, and oceanographers to pioneer ocean exploration solutions. Candidates should be motivated, problem-solvers committed to environmental protection.

The Workato Integration Architect will design and implement integrations using Workato, lead development of recipes and connectors, and collaborate with teams to define and optimize integration strategies.

The Applied AI Software Engineer will evaluate LLM-based agents, manage benchmarking, and ensure performance, safety, and reliability in healthcare settings. Responsibilities include designing evaluation plans, running experiments, collaborating with teams, and developing internal tooling for AI features.