---
title: 'Labeling Backend Software Engineer at Avride'
canonical: 'https://feeny.ai/job/labeling-backend-software-engineer-avride-austin-hav8cmcb8qng'
type: 'job'
last_seen: '2026-10-23'
---

# Labeling Backend Software Engineer at Avride

- **Company:** Avride
- **Location:** Austin, TX
- **Posted:** 2026-10-19
- **Last confirmed live:** 2026-10-23
- **Apply:** https://job-boards.greenhouse.io/avride/jobs/4458584009

## Job description

## About the Team

Avride is at the forefront of autonomous mobility, developing and deploying self-driving cars and delivery robots that are shaping the future of transportation and logistics. Our Labeling Backend team builds the data infrastructure behind the massive sensor datasets that power our perception and ML pipelines. The services we build support both automated and human-in-the-loop labeling workflows, delivering the high-quality labeled data our models depend on so our vehicles and robots keep improving at scale.

## About the Role

As a Labeling Backend Software Engineer, you will own backend services that handle massive datasets for our perception ML pipelines. You’ll work across APIs, data ingestion pipelines, databases, and orchestration frameworks, taking features from design doc to production and keeping them reliable, high-throughput, and maintainable once they’re live. You’ll operate independently, make architectural tradeoffs, and help raise the bar for the engineers around you.

This is a hands-on individual contributor role: you will spend most of your time designing, writing, and shipping code.

## What You’ll Do

- Design, build, and own backend systems that manage the full lifecycle of labeled data, from ingestion to delivery, including core Python services, APIs, and databases.
- Build and scale data preparation and labeling pipelines that transform massive sensor streams (lidar, camera, radar) into label-ready formats, and manage annotation workflows at scale using both automated and human labeling with modern orchestration frameworks.
- Design and implement robust integrations with external vendors and internal tools so data and feedback flow seamlessly across labeling workflows.
- Develop automated validation and QA systems that safeguard dataset integrity, monitor quality, and surface key performance insights.
- Partner with ML and Perception teams to turn evolving requirements into scalable data solutions that directly drive model improvements.
- Increase human labeling efficiency by integrating ML automation into annotation workflows.
- Lead technical design for your area, review code, and mentor other engineers on the team.

## What You’ll Need

- 4+ years of professional software engineering experience building and operating backend services in production (internships and academic projects don’t count toward this).
- A track record of owning services end-to-end: design, implementation, deployment, monitoring, and on-call.
- Strong proficiency in Python, including backend frameworks and asynchronous stacks (asyncio, aiohttp, FastAPI).
- Production experience with relational databases (preferably PostgreSQL): schema design, query optimization, ORMs (e.g., SQLAlchemy, Django ORM), and migrations (e.g., Alembic).
- Solid grounding in system design, algorithms, and data structures, applied to real systems at scale.
- Hands-on production experience with cloud platforms, containerization (Docker, Kubernetes), and cloud object storage (AWS S3, GCS, etc.).

This role is not suited for new graduates or internship candidates.

## Nice to Have

- Experience with workflow orchestration (Argo, Airflow, etc.)
- Experience with large-scale distributed systems or products
- Big data and distributed data-processing tooling (Spark, PyArrow, etc.)
- Experience working with 3D sensor data (point clouds, sensor fusion, etc.)
- Previous work in AV, robotics, or ML-heavy environments
- C++ development experience

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.

Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

## About Avride

## Company Overview
- **One-liner**: Avride is a developer of autonomous vehicle and delivery robot technology, providing self-driving taxi and last-mile delivery services in partnership with Uber.
- **Entity Type**: Private (subsidiary of Nebius Group)
- **Headquarters**: Austin, Texas, United States (additional offices in Tel Aviv, Israel; Belgrade, Serbia; Seoul, South Korea)
- **Founded**: 2020 (as a spin-off from Yandex’s self-driving car group, which began development in 2017)
- **Founders**: Originated from Yandex’s autonomous driving team; individual founders are not named publicly.

## Core Business
- **Primary industry**: Vehicular automation, autonomous mobility, and last-mile delivery robotics.
- **Target customers**: B2B (ride-hail platforms like Uber, automotive OEMs like Hyundai), B2C (riders using robotaxis via Uber app), and enterprise (restaurants and retailers using delivery robots through Uber Eats).
- **Mission**: To make roads safer and more sustainable by deploying autonomous technology that never tires, gets distracted, or breaks rules.

## Products & Services
- **Robotaxi Service**: Autonomous taxi fleet (based on retrofitted Hyundai Ioniq 5 vehicles) operating in a nine-square-mile area of downtown Dallas, bookable via the Uber app. As of April 2026, Avride has 200 robotaxis in service.
- **Delivery Robots**: Sidewalk robots that travel at 8 km/h (5 mph), equipped with lidars, cameras, and ultrasonic sensors. Currently delivering Uber Eats orders in Austin, Dallas, and Jersey City. Over 600,000 deliveries completed to date.
- **Autonomous Driver Platform**: A universal driving system (hardware and software) that can be adapted to different vehicle types, including passenger cars and delivery robots, leveraging shared technology for continuous improvement.
- **Proprietary Hardware**: Custom lidars, cameras, and computational hardware designed in-house to enhance performance and redundancy.

## Market Standing
- **Valuation / Market Cap**: Not disclosed (private company).
- **Key Metric**: Total funding of **$425M** across two rounds:
  - $50M convertible note (September 2020)
  - $375M venture round (October 2025) — 2 investors.
- **Notable Investors / Partners**: Nebius Group (parent company); strategic partners include **Uber** (robotaxi and delivery integration) and **Hyundai** (robotaxi development partnership).
- **Growth Signals**:
  - Headcount of **283 employees** (+75.4% year-over-year).
  - 13,541 LinkedIn followers (+80.3% annual growth).
  - Over 250,000 customers have used services powered by Avride technology.
  - Expanded from initial testing in Austin and Seoul to live commercial operations in Dallas, Jersey City, and South Korea.
  - NHTSA logged 37 accidents involving Avride vehicles (as of March 2026) and opened a safety probe in May 2026 — a sign of regulatory scrutiny that often accompanies scaling autonomous fleets.

## Competitive Advantages
- **Proven real‑world deployment**: Operating robotaxis and delivery robots in dense urban environments across the U.S. and South Korea.
- **Unified technology stack**: The same autonomous software and hardware power both cars and delivery robots, enabling cross‑learning and faster iteration.
- **Strong partnership ecosystem**: Exclusive tie‑ups with Uber (rideshare and delivery) and Hyundai (OEM collaboration) provide immediate go‑to‑market channels.
- **In‑house hardware**: Custom sensors and compute units reduce dependency on third‑party suppliers and optimize performance for specific platforms.
- **Safety‑first philosophy**: 360‑degree perception, redundant systems, and thousands of hours of simulation and real‑world testing.

## Strategic Focus
- **Scaling robotaxi operations**: Expanding the Dallas service area and launching in additional U.S. cities in 2026–2027.
- **Deepening OEM partnerships**: Collaborating with Hyundai on next‑generation robotaxis.
- **Broadening delivery robot coverage**: Entering new markets with Uber Eats, including potential international expansion.
- **Growing the engineering team**: Actively hiring for roles in software, hardware, simulation, and operations (14 open positions as of mid‑2026).

## Why Work Here
- **Cutting‑edge autonomy**: Solve some of the hardest problems in perception, planning, and real‑time control for both cars and robots.
- **Large, experienced team**: Over 200 engineers, many from Yandex’s pioneering autonomous driving group, with deep domain knowledge.
- **Fast‑paced, high‑impact environment**: Work on technology used by hundreds of thousands of real customers.
- **Global presence**: Offices in Austin (HQ), Tel Aviv, Belgrade, and Seoul offer opportunities for international collaboration.
- **Culture of ownership**: Flat structure with small cross‑functional teams; engineers own features end‑to‑end.
- **Work policy**: Not explicitly stated, but roles span on‑site (operations), hybrid, and remote‑friendly positions depending on function.

## Sources
1. [avride.ai](https://www.avride.ai/)
2. [Avride About page](https://www.avride.ai/about)
3. [Avride Careers page](https://www.avride.ai/careers)
4. [Avride LinkedIn](https://www.linkedin.com/company/avrideai)
5. [Avride Wikipedia](https://en.wikipedia.org/wiki/Avride)

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