---
title: 'Software Engineer – ML Platform at Avride'
canonical: 'https://feeny.ai/job/software-engineer-ml-platform-avride-austin-qdeyg231m0qx'
type: 'job'
last_seen: '2026-09-11'
---

# Software Engineer – ML Platform at Avride

- **Company:** Avride
- **Location:** Austin, TX
- **Posted:** 2026-04-01
- **Last confirmed live:** 2026-09-11
- **Apply:** https://job-boards.greenhouse.io/avride/jobs/4205615009

## Job description

## About the team

The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers, turning low-level compute, storage, and networking primitives into an ML platform that teams actually use — scalable orchestration, distributed compute, and production-grade tooling for the full model lifecycle.

## About the role

As an ML Platform Engineer at Avride, you'll own critical pieces of the ML stack: workflow orchestration, distributed execution, resource governance, performance.You will shape how ML teams across the company run experiments and train models at scale. You will build the abstractions and services that make training workloads reliable, cost-efficient, and fast, helping ML teams run at scale on Kubernetes with strong reliability and excellent developer experience.

## What you will do

- Build and scale our ML compute platform on Kubernetes, using Argo Workflows for training, evaluation, and data processing orchestration
- Design and implement core platform capabilities, including a Ray-based internal SDK for distributed execution, and multi-tenant resource governance — scheduling, priorities, quotas, and policy enforcement across GPU, CPU, memory, and IO
- Improve end-to-end training throughput and platform efficiency by optimizing data access patterns, caching, and removing bottlenecks in storage, network, and resource contention
- Work directly with ML teams to debug complex workload issues, drive root-cause analysis, and turn recurring problems into platform-level fixes
- Evaluate, integrate and extend open-source tooling (Argo Workflows, Ray, Kubernetes ecosystem) to meet evolving platform needs

## What you will need

- Strong proficiency in Python or Go; C++ is a plus
- Track record of designing and building scalable, maintainable systems and services
- Experience operating production services end-to-end: APIs, reliability practices, observability
- Deep knowledge of Kubernetes: how scheduling, resource management, controllers, and pod lifecycle actually behave under pressure
- Solid Linux and systems debugging skills: performance investigation, networking, storage/IO
- Ability to troubleshoot complex production issues across logs, metrics, and traces and drive them to resolution

## Nice to have

- Experience with Argo Workflows, Ray, MLflow, or comparable distributed ML tooling
- Hands-on experience building or operating large-scale ML training systems: GPU scheduling, distributed training, training data pipelines
- Track record of optimizing resource usage and performance in distributed environments

## #LI-MS1

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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