Staff Software Engineer, Voxel

• The ideal candidate will have a strong background in software engineering, extensive experience working with distributed systems, and a deep understanding of infrastructure and ML systems
• Bachelor's degree in Computer Science or a related field
• Minimum 5+ years of experience in software engineering, with a focus on infrastructure design
• Have experience designing large, highly available distributed systems with Kubernetes
• Proven experience in designing complex systems and strong software engineering skills
• Strong understanding and experience with distributed systems like Apache Spark, Ray etc. and infrastructure design
• Proficiency in containerization technologies like Docker and orchestration platforms like Kubernetes
• Demonstrated expertise in DevOps practices, with a focus on ML
• Have worked on ML tools that researchers love

Desirable

• Voxel is seeking a highly skilled and experienced Senior ML Infrastructure professional to join their team
• This role will focus on designing and implementing systems to support Voxel's ML development
• Build and maintain cloud infra and distributed systems for MLOps
• Build out internal training framework to make research with large distributed models easy and fun
• Design and develop systems to support Voxel's ML development, with a focus on computer vision applications
• Provide technical guidance, mentorship, and project management support
• Build distributed systems and pipelines for data management, ensuring scalability, reliability, and performance
• Demonstrate a deep understanding of DevOps practices and apply them to ML operations
• Utilize technologies such as Kubernetes and various CI/CD systems to optimize infrastructure deployment and management
• Handle the complexities of designing and implementing ML infrastructure systems in a dynamic and fast-paced startup environment
• Contribute to the overall impact of Voxel's AI-powered workplace safety solutions by delivering robust and efficient ML infrastructure