Robotics DevRel Engineer - Voxel51

About Voxel51

First and most importantly: our mission is to bring transparency and clarity to the world's data.

Our platform, Voxel51, is where AI work happens. Our enterprise platform is the mission-critical linchpin for managing unstructured data, model development, and AI systems at the world's largest companies.

We believe that open source is the way to lead the data-centric AI revolution. FiftyOne, our open source version of Voxel51, has 5 million downloads to-date.

Our software massively impacts AI work across almost every vertical: from self-driving cars to medical imaging to revolutionizing agriculture, we are at the center of real-world AI advancement's next wave.

We are built on three key tenets:

• Human-first: We strive to treat everyone with the respect, care, and flexibility that all people deserve.
• Distributed: We believe in getting autonomy and power into the hands of people actually doing the work.
• Community: We believe in the power of community.

We are fully remote, hiring for someone located in the United States.

About the Role

As a Robotics Developer Relations Engineer at Voxel51, you'll work directly with the open source FiftyOne community — answering technical questions, building integrations with robotics perception stacks, models, and datasets, creating engaging technical content, and helping organize and speak at events (in-person and virtual). This role is ideal for someone who has worked hands-on with robotic systems and wants to help the broader robotics ML community build.

What You Will Do

• Technical Support: Provide technical answers to open source users on Slack, StackOverflow, and Reddit — including questions from robotics engineers working on real-world deployment challenges
• Writing: Author original blogs, tutorials, and documentation at the intersection of robot learning and data infrastructure (VLAs, world models, sim-to-real pipelines)
• Videos: Self-produce short videos for social media and long-format videos exploring technical topics relevant to robotics practitioners
• Educational Content: Create and deliver original courses, both online and in-person, covering computer vision and ML topics for robotics applications
• Integrations: Code integrations that combine FiftyOne with complementary technologies, models, and datasets used in robotics — including simulation environments, sensor data formats, and perception frameworks
• Events: Help organize community events like Meetups and hackathons, and speak at in-person and virtual conferences/workshops focused on robotics and autonomous systems

Examples

• Technical integration and blog: FiftyOne Integration Example
• Community Q&A: FiftyOne Q&A Example
• Video: FiftyOne Video Example
• Educational Content: FiftyOne Course Example

What You Should Bring

• 3+ years of professional ML experience, with direct experience applying computer vision to robotics systems (e.g., perception, navigation, manipulation, or autonomous vehicles)
• MS or PhD in computer science, robotics, or a related field, with an emphasis on computer vision
• Hands-on experience with robotics-specific data types and tools — e.g., multimodal sensor streams like MCAP/LeRobot and simulators like Isaac Sim
• Proficiency with Python
• Expertise with machine learning and scientific computing libraries (TensorFlow, PyTorch, NumPy)
• Great writing ability and proficiency with a screen recording/editing suite
• Links to blogs, articles, or papers written (bonus for robotics-focused content)
• Links to conferences or events you have spoken at (bonus for robotics/autonomy-focused events such as ICRA, IROS, CVPR workshops)
• Links to open source communities where you are an active participant
• Links to GitHub repositories where your code is visible
• Ability to work in a remote-first, cooperative environment using collaborative development tools (GitHub, Slack)

Compensation & Benefits

• Base Salary: $190,000 – $240,000
• Equity: Stock option grant
• Comprehensive benefits package and growth opportunities in an exciting, collaborative environment