Bear Robotics

Bear Robotics

Requirements

• 8+ years of professional experience in software engineering, with a record of delivering complex projects.
• Deep expertise in at least one major programming language or tech stack (e.g., Java, C++, Python, Go, etc.).
• Strong background in system design, distributed systems, and software architecture.
• Demonstrated ability to lead technical initiatives and mentor engineering teams.
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to diverse audiences.
• Commitment to quality, operational excellence, and continuous improvement.

Responsibilities

• Define and drive the technical vision for major projects and initiatives.
• Set engineering standards, guide architecture decisions, and foster technical excellence across teams.
• Lead design and code reviews with a focus on high-impact, long-term solutions.
• Architect robust, maintainable, and scalable systems across cloud, edge, and robotic platforms.
• Evaluate and select technologies that best meet product and infrastructure needs.
• Identify and address architectural risks and trade-offs.
• Write high-quality, performant, and testable code.
• Build prototypes and lead implementation of critical software components.
• Demonstrate best practices in software development, CI/CD, and test automation.
• Collaborate with Product, Hardware, QA, Design, and Operations teams to deliver end-to-end features.
• Translate business goals and product requirements into effective technical strategies.
• Drive alignment and clarity in multi-stakeholder projects.
• Break down complex problems into clear, actionable steps.
• Provide deep technical analysis and innovative solutions under ambiguity.
• Ensure root cause resolution of critical issues.
• Serve as a mentor and coach to junior and mid-level engineers.
• Promote a culture of learning, experimentation, and continuous improvement.
• Support onboarding and skills development across the engineering organization.
• Champion high standards for performance, reliability, and maintainability.
• Guide teams in building observability, monitoring, and fault-tolerant systems.
• Implement and advocate for automated testing and deployment practices.
• Stay ahead of emerging technologies, tools, and industry trends, especially in robotics, AI, and cloud systems.
• Share knowledge across teams and encourage innovation and experimentation.
• Lead or contribute to strategic company-wide engineering initiatives.
• Perform other duties or lead specialized initiatives as assigned.

Preferred Qualifications

• Experience in robotics, real-time systems, computer vision, or AI/ML.
• Familiarity with startup environments and the ability to thrive in rapid iteration cycles.
• Knowledge of ROS, robotics middleware, or simulation tools is a plus.