Robotics DevRel Engineer

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities:

• Provide thoughtful, technically accurate support to users through community channels such as Slack, Stack Overflow, and Reddit, including helping robotics engineers solve real-world deployment challenges.

• Develop technical integrations connecting computer vision and data tooling with robotics technologies, perception frameworks, simulation environments, sensor data formats, models, and datasets.

• Write high-quality technical blogs, tutorials, guides, and documentation covering topics at the intersection of robotics, machine learning, and data infrastructure, including robot learning, vision-language-action models, world models, and sim-to-real workflows.

• Produce engaging technical video content, including short-form social media videos and longer educational content designed for robotics and machine learning practitioners.

• Create and deliver educational courses, workshops, and training sessions both online and in person, with a focus on computer vision and machine learning applications in robotics.

• Support and participate in community-building initiatives, including meetups, hackathons, conferences, workshops, and other events focused on robotics and autonomous systems.

• Speak at technical events and engage directly with the broader robotics and AI community to share practical knowledge, demonstrate solutions, and strengthen developer adoption.

Requirements:

• 3+ years of professional machine learning experience, including hands-on application of computer vision to robotics systems such as perception, navigation, manipulation, or autonomous vehicles.

• Masters or PhD degree in computer science, robotics, or a related discipline, ideally with a focus on computer vision.

• Practical experience working with robotics-specific data formats, tools, and workflows, including multimodal sensor data such as MCAP or LeRobot and simulation platforms such as Isaac Sim.

• Strong Python programming skills and proficiency with machine learning and scientific computing libraries such as PyTorch, TensorFlow, and NumPy.

• Excellent technical writing and communication skills, with the ability to explain complex robotics and machine learning concepts clearly to technical audiences.

• Experience creating technical video content using screen-recording and video-editing tools.

• A portfolio of technical work is highly valued, including blogs, articles, research papers, tutorials, GitHub repositories, or other publicly accessible projects.

• Experience speaking at conferences, workshops, meetups, or other technical events is a strong plus, particularly within robotics, autonomous systems, or computer vision communities.

• Active participation in open-source communities, especially robotics-related projects, is highly desirable.

• Ability to work effectively in a remote-first environment while collaborating through tools such as GitHub, Slack, and other distributed development platforms.

• Strong interpersonal skills, curiosity, autonomy, and enthusiasm for engaging with developers and technical communities.

Benefits:

• Cash compensation in the range of $190,000–$240,000.

• Equity in the form of stock options in addition to base compensation.

• A variety of employee benefits designed to support your professional and personal well-being.

• Fully remote work within the United States.

• A flexible, human-first working environment built around autonomy, trust, and respect.

• The opportunity to work at the intersection of robotics, computer vision, machine learning, and real-world AI applications.

• The opportunity to contribute to open-source technology and engage with a growing global technical community.

• Opportunities to create technical content, speak at industry events, build integrations, and establish yourself as a voice within the robotics and AI ecosystem.

• A collaborative environment where community, technical excellence, and individual ownership are highly valued.