Avride

You'll build and evolve Avride's visual language, working with marketing, product, and leadership to translate complex technology into compelling communication. As one of the first dedicated brand roles, you'll have **real influence** over how Avride looks and feels, and see your work deployed on **real products**. Your work will span digital, print, and physical touchpoints, shaping a brand for a company operating robotaxis and delivery robots on city streets.

You'll **assemble and maintain autonomous delivery robots** for a cutting-edge AV startup. Your work will **ensure real-world robot fleet reliability** through hands-on repairs and field support. This role offers **direct involvement in launching a new robot deployment**.

You'll work on **autonomous vehicle perception** problems using **real-world driving datasets**. You'll be paired with a senior mentor to prototype and evaluate algorithms that directly impact driving performance. This internship offers exposure to **cutting-edge research to production pipeline**.

You'll **develop machine learning models for autonomous vehicles** on the ML Prediction and Planning team, using real driving data to improve trajectory prediction and planning. You'll **own a research project** exploring model ensembling or simulation agent behavior. This internship offers **direct mentorship from senior researchers** and access to state-of-the-art compute and data.

You'll lead **evaluation and experimentation** for **autonomous driving technology** at Avride, a startup based in Austin. You'll define metrics, design experiments, and build analytics pipelines while helping shape the team. **This role combines hands-on technical work with technical leadership**, requiring strong statistical reasoning and coding skills.

You'll perform general repairs and preventative maintenance across plumbing, electrical, HVAC, and carpentry systems at our Dallas office. Your work ensures **facilities and equipment remain safe and efficient**. This role offers **hands-on experience with multiple trades** in a dynamic autonomous vehicle company.

You'll **assemble and maintain** a fleet of autonomous delivery robots in downtown Miami. You'll **diagnose failures** and perform preventive maintenance to ensure reliable operations. This role offers hands-on work with **cutting-edge robotics** in a real-world deployment.

You'll provide **hands-on IT support** for a 130+ person company, managing macOS/Windows fleets, administering SaaS tools like Google Workspace and Slack, and supporting conference room AV. Your work ensures teams across the US, Israel, and Serbia stay connected and productive.

You'll **review safety-critical events** from autonomous vehicle testing and **classify them using Avride's internal framework**. Your work directly informs **deployment readiness decisions** across operating locations.

You'll design and build backend systems for **distributed simulation workloads** at Avride, a company developing autonomous vehicle technology. Your work will power large-scale simulations used by QA, ML, and safety teams to **assess system readiness**. This role offers the chance to shape core infrastructure in a fast-moving autonomous systems company.

You'll design algorithms and tools for **auto-labeling** and **data mining** to improve autonomous driving datasets. Your work will enhance data efficiency and model performance at Avride.

You'll build Avride's **localization and mapping subsystems** for autonomous delivery robots. You will design on-board sensor fusion algorithms and cloud SLAM-based lidar map building, improving precision in hard-to-navigate environments. This role offers a chance to innovate at the frontier of autonomous vehicle technology.

You'll own critical pieces of the ML stack, including **workflow orchestration** and **distributed execution**. You will shape how ML teams run experiments and train models at scale, building abstractions that make training workloads reliable, cost-efficient, and fast. This role offers the chance to work on **autonomous driving infrastructure** at a cutting-edge company.

You'll design, execute, and analyze virtual test scenarios for **autonomous driving software**, validating the reliability and safety of AV systems. Your core impact is detecting and resolving issues early before real-world testing. You'll work with cross-functional teams to build effective **offline testing environments** and deliver actionable reports.

You'll drive **machine learning solutions** for **autonomous vehicles and delivery robots** at Avride. Your work will directly enhance the performance, safety, and reliability of our self-driving systems. This role offers the chance to work on cutting-edge deep learning techniques in a fast-paced autonomy startup.

You'll design and develop **firmware and drivers** for LiDAR, motor control, and robotics systems at an autonomous driving startup. Your core impact will be building reliable, high-performance solutions that power self-driving taxis and delivery robots. This role offers a chance to work with cutting-edge technology in a startup atmosphere.

You'll own **server hardware** and **on-site networking** for Avride's autonomous vehicle garages and offices. Your work ensures reliable compute and connectivity as the fleet scales. This hands-on role puts you at the center of building physical infrastructure behind self-driving technology.

You'll develop CI/CD pipelines and tooling for embedded software powering **autonomous vehicles** at Avride. Your work ensures quality, safety, and stability of the systems. You'll collaborate across hardware and software teams in a hands-on role.

You'll design and build the core simulation infrastructure for autonomous driving systems, writing high-performance C++ code. You'll ensure simulation runs are **correct and reproducible** at scale on distributed clusters. This role offers deep technical challenges in **autonomous driving simulation**.

You'll design and build **Fleet Orchestrator**, a cloud-based service managing software for **autonomous vehicles**. Your work directly ensures **fleet stability and safety** at scale.

You'll develop **metrics and evaluation frameworks** for autonomous driving systems, analyzing real-world and simulated data to ensure safety and performance. Your work will directly impact **vehicle readiness for urban deployment**. It's a chance to **shape the future** of self-driving technology.

You'll **design and optimize autonomous vehicle control systems** using **Model Predictive Control (MPC)**. Your work directly influences centimeter-level trajectory accuracy across diverse real-world conditions. Collaborate with Planning and Hardware teams to build a cohesive self-driving system.

You'll design and implement **motion planning algorithms** for autonomous vehicles, optimizing trajectory generation and decision-making in dynamic environments. You'll collaborate with Perception, Prediction, and Control teams to build a **cohesive self-driving system**. This role offers hands-on work on **real-time vehicle control** at the intersection of machine learning and high-performance C++.

You'll join the Sensors and System Software team to build and maintain custom Linux systems for autonomous driving. You'll work closely with hardware and sensor teams to **optimize low-level software** and drive **cutting-edge perception technologies**. This role offers the chance to **learn from top engineers** in a dynamic, innovation-focused environment.

You'll design and deploy **deep learning models** for autonomous vehicles and delivery robots at Avride. Your work will directly enhance **safety and reliability** of self-driving systems. You'll collaborate with cross-functional teams to integrate cutting-edge ML techniques into real-world products.

You'll own critical pipeline infrastructure at the heart of Avride's self-driving platform. You'll work closely with autonomy teams to design and deliver **high-performance pipeline systems** that ensure **reliability, reproducibility, and determinism**. This role offers a chance to set technical direction and leave a lasting impact on how Avride builds its self-driving stack.

You'll develop **firmware for autonomous vehicles and delivery robots** using C++ and Python. You'll create tools for testing and diagnostics, and optimize code for real-time performance. This role involves collaborating with hardware and software teams to ensure system integration.

You'll design and build the core C++ framework powering Avride's self-driving stack, **execution graph optimization** and **runtime systems**. Your work directly impacts safety and performance across all autonomy components. This role offers ownership of critical infrastructure in a cutting-edge autonomous vehicle company.

You'll build **real-time operator interfaces** for autonomous cars and delivery robots, enabling safe remote teleoperation and fleet management. Your work directly shapes **low-latency control systems** handling live video, maps, and navigation. This is a high-impact role at the intersection of **frontend engineering and autonomy operations**.

You'll lead **trajectory planning algorithm** development for autonomous vehicles at Avride, working across teams to ensure **smooth system integration**. You'll drive technical decisions and build safe, intelligent driving behavior.

You'll design and train deep learning models for **autonomous vehicle motion planning and prediction**, working with **petabytes of real-world driving data**. Your models will directly impact safe navigation in complex environments. This role offers the chance to apply cutting-edge ML to high-stakes robotics challenges.

You'll design logging software for autonomous driving systems, building system services for **data transmission to the cloud** and optimizing storage pipelines. Your work enables **terabytes of data** to be moved and analyzed at scale, directly supporting **data-platform architecture**.