Software Engineer - E2E Autonomy

Applied Industrial Technologies
Sunnyvale
Workplace: OnsiteFull timeUSD 153,000 - 222,000 annuallyFunction: Software EngineeringSkills: ["Problem-solving","Analytical thinking","Communication"]

Join Applied Intuition to advance autonomy and vehicle intelligence by building ML tools and infrastructure, managing large datasets, and addressing end-to-end challenges across the autonomy stack. Collaborate with AI research and engineering to productionize self-driving software, scale training, and optimize GPU compute and data pipelines using Python, PyTorch, and Kubernetes.

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FursaFursa
Applied Industrial Technologies
Applied Industrial Technologies
10 months ago

Software Engineer - E2E Autonomy

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Join Applied Intuition to advance autonomy and vehicle intelligence by building ML tools and infrastructure, managing large datasets, and addressing end-to-end challenges across the autonomy stack. Collaborate with AI research and engineering to productionize self-driving software, scale training, and optimize GPU compute and data pipelines using Python, PyTorch, and Kubernetes.
Location: Sunnyvale
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Build tools and infrastructure to enable large-scale E2E autonomy research.
  • •Work directly with AI research and engineering teams to productionize next generation self-driving software.
  • •Help scale end-to-end training by identifying bottlenecks as GPU compute and data volumes grow.
  • •Leverage technologies: Python, PyTorch, CUDA, Bazel, Kubernetes, Spark, Flyte to support ML workflows.
  • •Collaborate across teams to improve software design and contribute to ML infrastructure.

Pay and Benefits

Salary: USD 153,000 - 222,000 annually
Equity and Bonus:Equity
Perks:401kHealth InsuranceDentalVisionLife InsuranceDisability InsuranceLearning StipendWellness StipendPaid Leave

Key Requirements

  • •Exceptional software generalist experience with ambition to contribute up and down the ML stack, onboard the vehicle, and in the cloud.
  • •Strong fundamental skills in software & module design; able to tame chaos with libraries & abstractions.
  • •Rapid analytical and problem-solving skills.
  • •Nice to have: strong multi-language build system knowledge.
  • •Nice to have: distributed systems/compute (e.g. Kubernetes, cloud-managed services at scale) and ML infra fluency.
Experience:Self-drivingAutonomyMLAI
Skills:Problem-solvingAnalytical thinkingCommunication
Tech Stack:PythonPyTorchCUDABazelKubernetesSparkFlyte

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