Senior Software Engineer – Data Acquisition

Woven Planet

. Lead the design, build, maintenance, optimization and support of large-scale, cloud-native data ingestion, data storage, data processing and data serving systems.

Posted 10/9/2026full-timeAnn Arbor • Michigan • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building large-scale, cloud-native data systems, with a strong focus on data ingestion, processing, and storage. Proficient in Python and C++, with extensive experience in autonomous driving data requirements and cloud-based architectures.

Highest-signal resume keywords

Python ProgrammingC++ DevelopmentAWS Cloud ServicesData Pipeline DevelopmentMicroservice Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresAlgorithmsConcurrent ApplicationsTestable CodeModular Code

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

TerraformDockerKubernetesGCP

Industry Keywords

Autonomous DrivingData GovernanceData PrivacyData Security

Tech Stack

Tools & technologies

AWSCloudDockerGoogle Cloud PlatformJavaKubernetesPythonTerraformC++Go

About the role

Key responsibilities & impact

Lead the design, build, maintenance, optimization and support of large-scale, cloud-native data ingestion, data storage, data processing and data serving systems.
Architect and scale large production real-time systems written and maintained in Python and C++.
Understand the complex data requirements of modern AD/ADAS platforms and tailor the data ecosystem to these needs.
Work closely with Data Infrastructure, Site Reliability and Vehicle software platform engineers on high-impact self-driving projects.
Mentor junior engineers and drive best practices across the organization.
Contribute to the long-term strategy for multiple systems and products.
Build data-collection edge filtering infrastructure supporting data validation and scenario detection.
Develop and operate large-scale data acquisition pipelines processing hundreds of terabytes daily through AWS-deployed frameworks.

Requirements

What you’ll need

Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
5+ years of experience with data structures/algorithms and professional software engineering in one or more programming languages (e.g., Python, Go, Java).
Extensive development experience with autonomous driving and/or data collection using C++ under embedded environments.
3+ years designing and building data-intensive, concurrent, scalable applications.
Experience with cloud-based (e.g. AWS, GCP) microservice architecture, event-driven, distributed architectures.
2+ years writing testable, modular code in Python.
Business-level proficiency in English speaking, reading and writing (e.g., technical documents, software documentation).
Nice to have: 3+ years of experience with data platforms, data pipelines, workflow orchestration, batch processing, and/or distributed databases.
Nice to have: 2+ years writing testable, modular code in Golang.
Nice to have: 2+ years writing testable, modular code in Java.
Nice to have: Experience working as a Site Reliability Engineer.
Nice to have: Experience with Terraform, Docker, cloud-native technologies, networking and Kubernetes in production.
Nice to have: Experience designing, deploying, and maintaining multi-region and/or multi-cloud systems.
Nice to have: Experience with data governance, data privacy and security.
Nice to have: Business-level proficiency in Japanese.

Benefits

Comp & perks

Excellent health, wellness, dental and vision coverage
A rewarding 401k program
Flexible vacation policy
Family planning and care benefits