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Data & ML Pipeline Software Engineer jobs in United States
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Applied Intuition · 10 hours ago

Data & ML Pipeline Software Engineer

Applied Intuition, Inc. is powering the future of physical AI, creating the digital infrastructure for autonomous driving. The Data & ML Pipeline Software Engineer will build systems that connect vehicle data collection and model improvement, collaborating closely with ML engineers to enhance data-driven development processes.
Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware
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H1B Sponsor Likelynote

Responsibilities

Build and maintain large-scale data processing pipelines (ETL) for ingesting and curating driving datasets
Design and implement systems that automate data selection, labeling, training, and testing loops
Collaborate with modeling teams to improve training efficiency and model performance across iterations
Develop the core infrastructure that closes the loop between real-world test results and new model deployments
Use your engineering expertise to help Applied Intuition’s vehicles learn from data at scale, improving safety and performance
Mentor junior engineers and contribute to defining best practices for data-centric development

Qualification

Data pipeline engineeringMachine learning infrastructurePythonData frameworks SparkData frameworks AirflowData frameworks KafkaLarge-scale datasetsMachine learning workflowsSystems thinkingInterest in impactMentoringCollaboration

Required

3–5 years of experience in software or data infrastructure engineering
Expertise in building and scaling data pipelines, distributed systems, or ML infrastructure
Proficiency in Python and strong knowledge of data frameworks (Spark, Airflow, Kafka, etc.)
Experience working with large-scale datasets and understanding data-driven development cycles
Familiarity with machine learning workflows or model training/deployment, especially automation of those processes
Strong systems thinking and ability to work across multiple parts of the stack (data, infra, and ML)
Interest in seeing the direct impact of your infrastructure work on how vehicles perform and improve

Preferred

Experience with automotive (AV) or robotics systems
Previous work on ML platforms for large-scale products (e.g., Ads, Recommendation, or Autonomy pipelines)
Experience with highly automated ML training workflows
Prior contributions to systems that connect data-driven model iteration loops (“data flywheel”)
Ability to move fast, learn quickly, and mentor others while growing with the team

Benefits

Equity in the form of options and/or restricted stock units
Comprehensive health, dental, vision, life and disability insurance coverage
401k retirement benefits with employer match
Learning and wellness stipends
Paid time off

Company

Applied Intuition

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Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale.

H1B Sponsorship

Applied Intuition has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (122)
2024 (56)
2023 (33)
2022 (16)
2021 (4)

Funding

Current Stage
Late Stage
Total Funding
$1.5B
Key Investors
BlackRock,Kleiner PerkinsLux Capital,Porsche Investments ManagementAddition,Coatue,Elad Gil
2025-06-17Series F· $600M
2024-07-25Secondary Market· $300M
2024-03-11Series E· $250M

Leadership Team

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Qasar Younis
Co-Founder and CEO
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Peter Ludwig
CTO, Co-founder
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Company data provided by crunchbase