Software Engineer - Infrastructure

Baseten

$120K — $150K *
US-AnywhereRemote in San Francisco, CA
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or higher in Computer Science or related field
  • Proficient in coding with popular languages; Go is a plus
  • Working knowledge of Kubernetes and containerization
  • Basic understanding of machine learning and model serving
  • Familiarity with distributed systems concepts
  • Experience with monitoring and logging tools
  • Strong collaboration and communication skills

Responsibilities

  • Develop infrastructure components for the ML inference platform using Python and Go
  • Implement and maintain Kubernetes deployments for model serving
  • Contribute to the inference orchestration layer for model deployments
  • Build and enhance monitoring systems for model performance metrics
  • Implement efficient resource management solutions for ML workloads
  • Support infrastructure automation to improve ML deployment workflows
  • Participate in technical discussions around infrastructure improvements

Benefits

  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company-wide Winter Break
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities
Full Job Description
THE ROLE

As an Infrastructure Software Engineer at Baseten, you'll build and maintain components of our ML inference platform that powers production AI applications. You'll contribute to the core infrastructure, enabling developers to deploy, scale, and monitor ML models with high performance.

EXAMPLE INITIATIVES

You'll get to work on these types of projects as part of our Infrastructure team:
  • Multi-cloud capacity management
  • Inference on B200 GPUs
  • Multi-node inference
  • Fractional H100 GPUs for efficient model serving

RESPONSIBILITIES
  • Develop infrastructure components for our ML inference platform using Python and Go
  • Implement and maintain Kubernetes deployments for model serving
  • Contribute to our inference orchestration layer for model deployments
  • Build and enhance monitoring systems for model performance metrics
  • Implement efficient resource management solutions for ML workloads
  • Support infrastructure automation to improve ML deployment workflows
  • Work closely with team members to implement technical solutions
  • Help balance performance optimization with system reliability
  • Participate in technical discussions around infrastructure improvements
  • Learn and apply infrastructure best practices


REQUIREMENTS
  • Bachelor's degree or higher in Computer Science or related field
  • Proficient coding abilities in one or more popular programming or scripting languages; Go proficiency is a plus
  • Working knowledge of Kubernetes and containerization
  • Basic understanding of machine learning concepts and model serving
  • Familiarity with distributed systems concepts
  • Experience with basic monitoring and logging tools
  • Interest in ML/AI infrastructure and willingness to learn
  • Strong collaboration and communication skills


BENEFITS
  • Competitive compensation, including meaningful equity.
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
  • Paid parental leave
  • Fertility and family-building stipend through Carrot
  • Company-facilitated 401(k)
  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

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