Senior Software Engineer - ML Infrastructure

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeUSD 153,000 - 222,000 annuallyFunction: Software EngineeringExperience: 3+ yearsEducation: bachelorsSkills: ["Machine learning","ML infrastructure","Data pipelines","Distributed systems","GPU training"]

Senior Software Engineer responsible for building and scaling ML infrastructure and pipelines across the full ML lifecycle, collaborating with modeling teams to deploy production-ready components, evaluate open-source vs in-house solutions, and drive ML engineering practices across a Data & ML infra group.

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FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
3 years ago

Senior Software Engineer - ML Infrastructure

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 hours agoStatus: Live

Job Summary

Senior Software Engineer responsible for building and scaling ML infrastructure and pipelines across the full ML lifecycle, collaborating with modeling teams to deploy production-ready components, evaluate open-source vs in-house solutions, and drive ML engineering practices across a Data & ML infra group.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and implement distributed cloud GPU training approaches for deep learning model training and evaluation.
  • •Build end-to-end machine learning pipelines and integrate them into core product workflows.
  • •Encourage change, especially in support of ML engineering best practices, and maintain a high standard of excellence.
  • •Collaborate with engineers across the entire company to solve complex data problems at scale.
  • •Own the ML lifecycle across dataset generation, training frameworks, compute, evaluation, and deployment.

Pay and Benefits

Salary: USD 153,000 - 222,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVision401kLearning BudgetPaid LeaveEquity

Key Requirements

  • •A Bachelor's degree in Computer Science, Software Engineering, or equivalent.
  • •3+ years of professional experience.
  • •Experience with building software components to address production, full-stack machine learning challenges. This is not purely a research problem.
  • •Opinions about building a company-wide platform for ML training, evaluation, and deployment.
  • •Knowledge of the open source landscape with judgment on when to choose open source versus build in-house.
Experience:3+ yearsMachine learningML infrastructureData engineering
Education:Bachelor's in Computer Science
Skills:Machine learningML infrastructureData pipelinesDistributed systemsGPU training
Languages:English
Tech Stack:PythonPyTorchTensorFlowAirflowFlyteTorchServeTensorFlow ServingNVIDIA TritonGPUDistributed computing

Company Brief

Applied Industrial Technologies
Builds software tools for autonomous vehicle development, including simulation, validation, and data infrastructure for automakers and robotics teams. Also supports defense applications with autonomy-focused testing and deployment platforms.
Industry: Developer Tools
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Headquarters: Mountain View, United States
Founded: 2017
WebsiteLinkedIn