Applied Industrial Technologies

8 months ago

Software Engineer - E2E Autonomy

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 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

Applied Industrial Technologies is a distributor of industrial products and services, supplying bearings, power transmission, fluid power, safety products, and engineered solutions to maintenance, repair and operations customers and OEMs.

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn

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Applied Industrial Technologies

8 months ago

Software Engineer - E2E Autonomy

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

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

Industry: Developer Tools

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cleveland, United States

Founded: 1923

Website LinkedIn