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S

Principal Software Engineer, Machine Learning Infrastructure

SNAP/SNAP

. Oversee technical strategy and architecture for ML Inference Platform services .

Posted 9/16/2026full-timeBellevue • California • United StatesLead💰 $276,000 - $414,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in overseeing technical strategy and architecture for ML Inference Platforms, with a strong focus on designing and implementing scalable engineering components. Proven ability to provide technical leadership, mentor teams, and drive innovative solutions across engineering projects.

Highest-signal resume keywords
Technical LeadershipLarge-Scale Distributed SystemsML Inference ServicesSoftware Development ExperienceCross-Platform Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentSystem ArchitecturePerformance AnalysisDebuggingTest DesignScalabilityOperational ExcellenceCost ManagementProblem SolvingTechnical Direction
Soft Skills
CollaborationMentorshipCommunicationVision Creation
Tools & Technologies
TensorFlowPyTorchKubernetesGPULLM Inference
Certifications & Qualifications
Bachelor’s Degree in Technical FieldMaster’s Degree in Technical FieldPhD in Related Technical Field
Industry Keywords
ML Inference PlatformEngineering ProjectsHigh-Throughput RPC ServicesAvailabilityScalability

Tech Stack

Tools & technologies
Distributed SystemsKubernetesPyTorchTensorflow

About the role

Key responsibilities & impact
  • Oversee technical strategy and architecture for ML Inference Platform services
  • Design, implement, and scale critical engineering components and services supporting ML inference and deployment
  • Work across teams to understand product requirements, evaluate trade-offs, and deliver solutions for innovative products and services
  • Advocate for and apply best practices in availability, scalability, operational excellence, and cost management
  • Provide technical direction influencing the entire company
  • Drive a portfolio of concurrent engineering projects, from short-term critical feature launches to long-term research initiatives
  • Create a compelling vision for the future and communicate it clearly
  • Provide collaborative technical leadership and mentorship

Requirements

What you’ll need
  • Bachelor’s in a technical field such as computer science, mathematics, statistics, or equivalent years of experience
  • 10+ years of post-Bachelor’s software development experience; or a Master’s degree in a technical field plus 9+ years of post-graduate software development experience; or a PhD in a related technical field plus 6+ years of post-graduate software development experience
  • 2+ years of experience with technical leadership or acting as the domain expert to a technical organization
  • Experience in technical leadership/ownership and setting technical direction for engineering projects
  • Experience architecting, designing, and developing large-scale distributed systems and high-throughput RPC services
  • Excellent programming and software design skills, including debugging, performance analysis, and test design
  • Proven track record of operating highly available systems at scale
  • Ability to learn new concepts and technology and apply them at work
  • Ability to solve ambiguous problems
  • Strong collaboration and mentorship skills
  • Advanced degree in a technical field such as computer science preferred
  • Experience with cross-platform development preferred
  • Experience with TensorFlow, PyTorch, Kubernetes, GPU, or LLM inference is a plus

Benefits

Comp & perks
  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that let you share in Snap’s long-term success
  • Equity in the form of RSUs
  • Office-based collaboration under Snap’s “default together” policy