About The Role We are seeking a talented and experienced Software Engineer to join our team, focusing on the development and scaling of Roboflow Inference systems. This role involves building robust APIs and runtime systems for image and video inference, which are integral to our platform and customer-facing services. You will be responsible for extending existing inference capabilities, developing new workflow features, and optimizing system performance to ensure reliability and efficiency. Your work will directly impact thousands of developers, researchers, and enterprise clients who rely on Roboflow for their computer vision needs.

The ideal candidate will have a strong background in building production-grade software, with expertise in Python, JavaScript/TypeScript, and a solid understanding of AI/ML concepts. You will collaborate closely with cross-functional teams to improve our workflows, integrate new vision models, and maintain SDKs and open-source libraries. Your contributions will help enhance our no-code workflow builder, improve latency and throughput, and ensure our systems are scalable and resilient. This is a high-ownership role that offers the opportunity to work on cutting-edge computer vision projects, such as real-time video processing, PDF ingestion, and dynamic graph pruning, among others.

Qualifications

• 4+ years of professional experience developing production software in Python
• Proficiency in JavaScript/TypeScript
• Strong understanding of software engineering best practices, including modular code, testing, CI/CD, and operational ownership
• Functional literacy in AI/ML concepts
• Experience with building and maintaining APIs and runtime systems
• Experience working in startup environments or roles with high ownership and autonomy
• Excellent problem-solving skills and ability to diagnose and debug full-stack issues
• Strong communication skills and ability to collaborate effectively with cross-functional teams
• Bonus: familiarity with computer vision concepts and related technologies

Responsibilities

• Build, extend, and scale inference systems for image and video processing
• Add new workflow blocks and capabilities to enhance platform flexibility
• Improve the performance, latency, throughput, and reliability of inference services
• Integrate new vision model capabilities into the existing infrastructure
• Maintain SDKs and open-source libraries to support developer integration
• Write comprehensive documentation and example code to facilitate user adoption
• Diagnose and debug full-stack issues across Python services and JavaScript/TypeScript interfaces
• Contribute to the development of new features such as real-time video processing, PDF ingestion, and dynamic graph pruning
• Collaborate with product and engineering teams to deliver high-quality solutions that meet user needs
• Architect scalable solutions, including connection between workflows and cloud storage, SSL implementations for edge devices, and secrets management systems

Benefits

• Competitive salary range of $163,000 - $180,000, commensurate with experience and location
• $4,000 annual travel stipend for flexible work-related travel
• $350 monthly productivity stipend to enhance your work environment
• Coverage of up to 100% of health insurance costs for you and your family or partner
• Equity ownership in the company, aligning your success with the company's growth
• Flexible work arrangements and a high-autonomy environment
• Opportunities for professional development and working on innovative AI projects
• Inclusive and diverse workplace culture that values your unique background and perspectives

Equal Opportunity

Roboflow is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We consider all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, veteran status, or any other protected characteristic. We believe that great ideas come from a variety of backgrounds and experiences, and we are dedicated to creating a supportive environment where everyone can thrive.