Software Engineer - Data Platform at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, RoboticsIndustries

Requirements

Strong proficiency in Python (required); experience with C++ is highly desirable
Proven ability to write high-quality, maintainable code and design scalable, robust systems
Experience with Kubernetes for deploying and managing distributed systems
Hands-on experience with large-scale open-source data infrastructure (e.g., Kafka, Flink, Cassandra, Redis)
Deep understanding of distributed systems and big data platforms, with experience managing petabyte-scale datasets
Authorized to work in the U.S. (no relocation sponsorship or remote work options available)

Responsibilities

Build and maintain robust data pipelines and core datasets to support simulation, analytics, and machine learning workflows, as well as business use cases
Design and implement scalable database architectures to manage massive and complex datasets, optimizing for performance, cost, and usability
Collaborate closely with internal teams such as Simulation, Perception, Prediction, and Planning to understand their data requirements and workflows
Evaluate, integrate, and extend open-source tools (e.g., Apache Spark, Ray, Apache Beam, Argo Workflows) as well as internal systems

Skills

Key technologies and capabilities for this role

PythonC++KubernetesApache SparkRayApache BeamArgo WorkflowsData PipelinesDistributed SystemsData Lakes

Questions & Answers

Common questions about this position

What programming languages are required for this role?

Strong proficiency in Python is required, and experience with C++ is highly desirable.

Is remote work available for this position?

No, remote work options are not available.

What experience is needed with distributed systems and data infrastructure?

Hands-on experience with large-scale open-source data infrastructure such as Kafka, Flink, Cassandra, Redis is required, along with deep understanding of distributed systems and big data platforms, including managing petabyte-scale datasets. Experience with Kubernetes for deploying and managing distributed systems is also needed.

What is the team responsible for?

The team handles the collection, storage, and processing of large-scale datasets from autonomous vehicles and delivery robots, including sensor data from cameras, lidars, radars, and other systems, while scaling reliable storage and providing efficient compute tools for downstream teams like machine learning and simulation.

What makes a strong candidate for this role?

A strong candidate will have proven ability to write high-quality, maintainable code, design scalable systems, and collaborate with teams like Simulation, Perception, Prediction, and Planning. Experience with open-source tools like Apache Spark, Ray, Apache Beam, Argo Workflows, and handling petabyte-scale data is key.

Abridge

AI platform for clinical documentation automation

About Abridge

Abridge provides a platform that changes how medical conversations are documented in healthcare settings. Its main product allows healthcare providers to record patient visits, which are then transformed into organized clinical documents. This helps doctors and other healthcare professionals save time on paperwork, allowing them to concentrate more on caring for their patients. Abridge stands out from its competitors by focusing specifically on the needs of healthcare providers, payers, and pharmaceutical companies, offering a solution that improves both documentation efficiency and patient outcomes. The goal of Abridge is to enhance the quality of patient care while making the documentation process easier for healthcare professionals.

Pittsburgh, PennsylvaniaHeadquarters

2018Year Founded

$201.8MTotal Funding

SERIES_CCompany Stage

AI & Machine Learning, HealthcareIndustries

51-200Employees

Benefits

Medical insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Equity

Flexible Spending (FSA) & Health Savings (HSA) Accounts

Learning and Development budget

401k Plan

Paid Parental Leave

Flexible working hours

Home Office Budget

Sabbatical Leave

Risks

Rapid expansion may strain Abridge's resources and affect service quality.

Integration challenges with EHR systems could disrupt workflows and data consistency.

Data privacy concerns in AI applications may lead to regulatory scrutiny.

Differentiation

Abridge transforms medical conversations into actionable clinical documentation using AI.

The platform supports over 28 languages and 50+ medical specialties.

Abridge's integration with EMR systems enhances clinician efficiency and patient care.

Upsides

Abridge's partnership with Mayo Clinic expands its reach to over 1 million patients.

The $150 million Series C funding accelerates AI technology development and integration.

Abridge's multilingual capabilities improve communication in diverse patient populations.

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