Technical Lead - Data Processing Infrastructure / Data Platform at Abridge

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Robotics, Machine LearningIndustries

Requirements

Strong proficiency in Python (required)
Hands-on experience with distributed computing frameworks (Apache Spark, Ray, Apache Beam, Apache Airflow, Argo Workflows, Kubernetes)
Proven leadership in architecture design and development of data processing infrastructures
Excellent communication and collaboration skills
Authorized to work in the U.S. (no relocation sponsorship or remote work options available)

Responsibilities

Closely collaborate with internal teams (Simulation and ML, including Perception, Prediction, and Planner) to deeply understand their requirements and use cases
Evaluate, integrate, and enhance open-source (Apache Spark, Ray, Apache Beam, Argo) and internal tools
Prototype, develop, and refine scalable compute solutions by writing code and validating them in practical scenarios
Lead and coordinate infrastructure engineering teams
Define and communicate the technical vision clearly, providing mentorship and creating documentation to support platform adoption

Skills

Key technologies and capabilities for this role

PythonC++Apache SparkRayApache BeamApache AirflowArgo WorkflowsKubernetes

Questions & Answers

Common questions about this position

Is remote work available for this position?

No, remote work options are not available.

What are the required technical skills for this role?

Strong proficiency in Python is required, along with hands-on experience with distributed computing frameworks such as Apache Spark, Ray, Apache Beam, Apache Airflow, Argo Workflows, and Kubernetes.

What leadership experience is needed for this Technical Lead position?

Proven leadership in architecture design and development of data processing infrastructures is required, along with the ability to lead and coordinate infrastructure engineering teams.

What is the team like that I'd be working with?

The team handles collection, storage, and processing of large datasets from autonomous vehicles and delivery robots, including sensor data, and supports ML, simulation, and algorithm development teams.

What makes a strong candidate for this role?

Candidates with strong Python proficiency, experience in distributed computing frameworks, proven leadership in data processing infrastructure, and excellent communication skills stand out; nice-to-haves include ML pipeline experience and sensor data knowledge from autonomous vehicles.

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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