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Novita AI

Forward Deployed Engineer New Grad

Implementation & Technical Account ManagementConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USANo salary listedIn-person

About the Job

Requirements

  • A Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related technical field.
  • Strong software engineering fundamentals.
  • Proficiency in Python and experience with at least one additional programming language.
  • A strong understanding of application programming interfaces, Linux, networking, and cloud-native applications.
  • Experience debugging complex technical systems.
  • Strong written and verbal communication skills.
  • Comfort working directly with customers.
  • High ownership and ability to operate in ambiguous environments.
  • Ability to move quickly between engineering, product, and customer problems.

Responsibilities

  • Own the technical relationship with customers from evaluation through production.
  • Understand customer architectures, workloads, and engineering requirements.
  • Deploy and integrate model APIs and inference endpoints, dedicated model serving, and Agent Sandbox environments.
  • Debug issues across APIs, containers, Linux, networking, model serving, and distributed systems.
  • Analyze inference performance, including latency, throughput, concurrency, caching, and reliability.
  • Build customer-specific integrations, prototypes, tools, and automation.
  • Support proofs of concept and help customers transition into production.
  • Work closely with Technical Account Executives on capacity planning, quotas, pricing considerations, and workload expansion.
  • Identify opportunities where customers can expand their usage of Novita.
  • Translate recurring customer problems into product requirements.
  • Build reusable tooling and reference implementations that improve the experience for future customers.
  • Work closely with engineering teams across the United States and Asia.

Desired Qualifications

  • Experience with large language models, AI agents, or inference infrastructure.
  • Familiarity with vLLM, SGLang, Ray, or distributed serving frameworks.
  • Experience with Docker and Kubernetes.
  • Understanding of model-serving performance, including batching, caching, throughput, latency, and concurrency.
  • Experience building coding agents, AI agents, or sandboxed execution systems.
  • Open-source contributions, startup experience, or significant technical side projects.
  • Background in solutions engineering, developer relations, technical consulting, or other customer-facing technical roles.
  • Interest in the commercial side of technology, including how usage, pricing, and product adoption connect.
  • Professional working proficiency in Mandarin Chinese.

About the Company

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