Member of Technical Staff

ActiveloopMountain View, CA
$150,000 - $250,000

About The Position

We are looking for a Member of Technical Staff with strong Python skills and a passion for building scalable platforms for AI and ML workloads. As MTS, you'll influence strategic decisions, partner closely with the founding team, and play a critical role in shaping Activeloop's AI infrastructure.

Requirements

  • Deep expertise in Python and modern software frameworks (e.g., FastAPI).
  • Solid understanding of distributed systems, ideally applied to AI workloads
  • Strong knowledge of SQL and NoSQL databases (PostgreSQL, Redis, MongoDB).
  • Experience building RESTful APIs and microservices
  • Demonstrated capability in implementing CI/CD pipelines and DevOps practices.
  • Exceptional communication, collaboration, and problem-solving skills.
  • History of owning complex product features from inception through support.

Nice To Haves

  • Hands-on experience with GPU performance optimization, CUDA or Triton kernels, or profiling AI workloads.
  • Proven comfort with ambiguity, rapid iteration, and adaptive decision-making in startup environments.
  • Enthusiasm for directly incorporating customer feedback into product development.
  • Proactive in anticipating technical challenges and providing innovative solutions.

Responsibilities

  • Design and build scalable software infrastructure optimized for high-performance AI and ML workloads, ensuring robustness and maintainability.
  • Own end-to-end delivery of key product features, from initial concept through deployment and support.
  • Define efficient RESTful APIs and microservice architectures tailored to customer-driven use cases.
  • Implement systems designed for high-throughput, low-latency, large-scale data processing.
  • Drive strategic evolution of system architecture to proactively handle future scalability and performance demands.
  • Develop streamlined CI/CD workflows for rapid testing, deployment, and feature iteration.
  • Directly influence engineering strategy and roadmap decisions through close collaboration with the technical founder.
  • Work closely with ML, frontend and backend engineers to seamlessly deliver features aligned with business objectives.
  • Ensure platform reliability and uptime through advanced monitoring, logging, and alerting using modern DevOps tools (Docker, Kubernetes, AWS, GCP, Azure).
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