Research Engineer - AI/RL Infrastructure

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeUSD 126,000 - 423,000 annuallyFunction: Research & Scientific (R&D)Skills: ["Collaboration","Problem-solving","Communication"]

Design, build, and operate state-of-the-art, large-scale ML training and evaluation infrastructure to support AI research in autonomous driving and robotics. Collaborate with researchers to create production-ready systems, orchestrate massive GPU clusters, and drive performance improvements across the full ML lifecycle in a fast-paced, outcomes-focused research environment.

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FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
1 year ago

Research Engineer - AI/RL Infrastructure

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Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Design, build, and operate state-of-the-art, large-scale ML training and evaluation infrastructure to support AI research in autonomous driving and robotics. Collaborate with researchers to create production-ready systems, orchestrate massive GPU clusters, and drive performance improvements across the full ML lifecycle in a fast-paced, outcomes-focused research environment.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design and build training and evaluation infrastructure to support our AI research directions, orchestration of massive GPU clusters to process PBs of multimodal sensor data
  • •Build benchmarking, continuous evaluation, and regression tracking systems to measure model performance across diverse real-world driving distributions
  • •Develop large-scale data sampling, dataset generation, and advanced data curation pipelines powering a closed-loop data flywheel
  • •Enable high-throughput distributed training across heterogeneous cloud environments focusing on reliability, efficiency, and cost-aware scaling
  • •Collaborate with AI research, autonomy, and platform teams to translate cutting-edge research into production-ready systems

Pay and Benefits

Salary: USD 126,000 - 423,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityLearning BudgetWellness Stipend

Key Requirements

  • •Experience building and operating production-grade software systems across the full machine learning lifecycle, including training, evaluation, data, and deployment
  • •Opinions about building a company-wide platform for ML training, evaluation, and deployment
  • •Experience with performance engineering and compute acceleration for large-scale ML training, including profiling, bottleneck analysis, and optimization
  • •Strong systems-level debugging skills to diagnose and resolve issues in large-scale distributed training, spanning model code, data pipelines, runtimes, and cluster infrastructure
  • •Deep familiarity with the open-source ML and systems ecosystem, with judgment on when to adopt open source versus build in-house
Experience:ML systemsDistributed trainingOpen source
Skills:CollaborationProblem-solvingCommunication
Languages:English
Tech Stack:PyTorchCUDARayFlyteKubernetes

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