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Director of Software Engineering

SambaNova Systems · San Jose, United States

External listingfull-timeabout 2 months ago

About The Role

Join SambaNova, a leading AI infrastructure company, as a Director of Software Engineering. In this high-impact role, you will lead a high-performing team of engineers while remaining a hands-on technical contributor. You will be responsible for the growth and effectiveness of your team, the technical quality of their output, and driving key engineering initiatives. This position offers flexible PTO, parental leave, and various benefits including medical, dental, and vision coverage, 401k/pensions, gym access, and flexible working hours.

  • Lead and manage a high-performing team of engineers, fostering a culture of technical excellence, collaboration, and continuous improvement.
  • Drive the career development of team members through regular feedback, clear growth plans, and mentorship.
  • Contribute directly as a software engineer by designing systems, writing code, and leading implementation on critical platform initiatives.
  • 12+ years of software engineering experience, including 2+ years leading and managing engineering teams
  • Strong technical depth in backend systems built with Python, Go, or Rust
  • Experience running iterative engineering processes in a fast-paced environment
  • Solid understanding of Kubernetes, distributed systems principles, and building scalable, reliable services
  • Demonstrated ability to manage, develop, and hire strong engineers while remaining a hands-on technical contributor
  • Excellent communication skills: able to work effectively with engineers, cross-functional partners, and senior leadership
  • Proven ability to drive engineering excellence across an engineering team
  • Familiarity with AI inference serving, orchestration, and the infrastructure challenges of LLM workloads at production scale
  • Experience with Kubernetes ecosystem tooling, including Operators and Helm Charts
  • Background in ML application optimization and productionization
  • Experience building or managing teams that deliver cloud-native platforms for enterprise customers
  • Familiarity with AI coding assistants and the developer tooling ecosystem
  • Experience at a high-growth AI infrastructure company

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