About the Team

At Avride, we're shaping the future of autonomous mobility. With a highly technical culture and a team of global talent, we move fast, think boldly, and build safely. As we continue to scale, we’re looking for a driven Immigration & Mobility Specialist to support our HR operations and enhance the candidate and employee experience.

About the Role

We are seeking a highly organized and professional Recruiting Coordinator to support high-volume hiring for a project based recruiting need. This role is critical in delivering a smooth, efficient, and welcoming candidate experience for applicants while partnering closely with onsite staff, hiring managers, and team leads.

What You’ll Do

• Serve as the first point of contact for candidates, greeting and checking in high volumes of applicants daily
• Manage candidate flow using an interview scheduling tracker, ensuring accurate tracking of arrivals and interview status
• Distribute and collect candidate paperwork, ensuring completeness and accuracy
• Coordinate closely with hiring managers, interviewers, and onsite team leads to ensure timely candidate handoffs for driving assessments
• Act as a liaison between candidates and internal teams to keep the interview process running smoothly
• Track and compile assessment results, ensuring all data is properly recorded
• Upload candidate documentation and assessment videos into internal tracking systems
• Monitor and manage the daily interview schedule, proactively identifying gaps or bottlenecks
• Maintain a professional, organized, and candidate-friendly environment at all times

What You’ll Need

• Experience supporting high-volume recruiting or onsite hiring events
• Proven ability to work effectively with cross-functional teams, including staff, hiring managers, and operational leads
• Strong organizational skills with the ability to manage multiple candidates simultaneously
• Excellent interpersonal and communication skills; able to provide a high-quality candidate experience
• High attention to detail, especially with data entry and documentation
• Comfortable working with spreadsheets and tracking systems
• Professional demeanor in a fast-paced, customer-facing environment
• Basic understanding of HR practices and employment law

Nice to Have

• Experience in automotive, logistics, or hourly hiring environments
• Familiarity with applicant tracking systems (ATS) or scheduling tools

About the Team

We’re a fast-moving team of engineers building the Remote Control system that powers teleoperation and fleet management for autonomous cars and delivery robots. Our tools enable operators to assist vehicles in complex urban environments via real-time video, map-based navigation, and custom interfaces optimized for low-latency decision-making. We care about performance, reliability, and thoughtful UX design — all in service of safe and scalable autonomy operations.

About the Role

We’re looking for a Senior Frontend Engineer to help us push the boundaries of what real-time web interfaces can do. You’ll be responsible for developing the operator-facing frontend of our Remote Control stack - the live command center that humans use to assist cars and robots in the wild.

This is a hands-on, high-impact role where your work directly shapes how autonomy operates at scale.

What You'll Do

• Build and maintain low-latency, real-time interfaces for controlling autonomous cars and robots
• Architect robust React applications that integrate live video feeds, real-time maps, and interactive controls for navigation and remote assistance
• Optimize for operator efficiency: keyboard workflows, high-res layouts, fast feedback loops
• Collaborate with backend, robotics, and UX teams to shape APIs and flows for reliability under edge conditions
• Ship fast, iterate often, and deliver responsive, intuitive tools that support autonomous vehicle operations

What You'll Need

• Strong React and TypeScript skills — proven track record building fast, maintainable apps
• Real-time mindset — experience working with websockets, live data, or streaming video is a plus
• UI intuition — you care about interface design and performance, and you know how to debug slow or janky UIs
• System thinking — you know how frontend fits into the bigger picture, and you write code that holds up under load

Nice to Have

• Experience with WebRTC, low-latency video, or socket-based architectures
• Familiarity with telemetry, maps, or robotics/vehicle systems
• Basic Python or Go skills for debugging backend issues

About the Team

We are looking for a skilled and reliable Facilities Technician to support general facility upkeep, repairs, and preventative maintenance at our Dallas office.

About the Role

What You'll Do

• Perform general repairs and troubleshooting across plumbing, electrical, HVAC, and carpentry systems. 
• Execute preventative maintenance procedures to ensure equipment reliability and longevity. 
• Operate and maintain tools and equipment, including power tools, ladders, and diagnostic devices. 
• Install and repair lock systems and door hardware. 
• Perform light electrical work, including replacing outlets, switches, and lighting components. 
• Complete basic plumbing tasks such as unclogging drains, fixing leaks, and replacing fixtures. 
• Interpret basic building systems and blueprints to support maintenance activities. 
• Maintain accurate logs and updates within maintenance or work order systems. 
• Follow all safety protocols and OSHA regulations while performing work.
• Travel between multiple sites, if required.

What You'll Need

• Experience performing general maintenance across multiple trades (plumbing, electrical, HVAC, carpentry) 
• Strong understanding of building systems and basic blueprint interpretation 
• Ability to safely operate maintenance tools and equipment 
• Basic computer skills for logging maintenance activities and work orders
• Understanding of safety protocols and OSHA regulations
• Strong problem-solving, time management, and organizational skills 
• Excellent communication and teamwork abilities 
• Reliable, self-motivated, and able to work independently
• Willingness and ability to travel between multiple job sites, if required
• Valid driver’s license (required if travel between sites is required)

Physical Requirements

• Ability to lift and move heavy objects, tools, and equipment as needed
• Comfortable working at heights (on ladders) and in confined or awkward spaces
• Capable of standing, walking, bending, and performing manual labor for extended periods

About the Team

Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility. Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.

About the Role

We are hiring experienced Machine Learning Engineers across Senior, Staff, and Principal levels. to site onsite in Austin, Texas. Whether you're a strong individual contributor ready to take on complex technical challenges, or a seasoned technical leader looking to take on complex technical challenges we want to hear from you.

In this role, you will drive the development and deployment of machine learning solutions for some of the hardest problems in autonomy conducting experiments, managing large-scale datasets, and implementing deep learning models tailored for real-world autonomous systems. At more senior levels, you will also define technical strategy, mentor engineers, and influence how ML is practiced across the organization.

What You'll Do

• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness — including models for environmental perception and predicting the behavior of other road users. At Staff and Principal levels, you will set the technical vision for entire model families and drive architectural decisions across teams.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior+ engineers will establish standards and tooling that scale across the organization.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay current with advancements in deep learning and lead the evaluation and adoption of novel approaches. Principal engineers are expected to identify opportunities before they become industry standard.
• Collaborate and Lead Across Teams: Work closely with researchers, software engineers, and robotics experts to integrate ML into real-world autonomous systems. At Staff and Principal levels, you will drive alignment across functions, mentor junior and senior engineers, and serve as a technical authority across the org.

What You'll Need

• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Deep expertise in at least one modern ML domain, such as computer vision, large language models, or generative AI.
• Senior: 4+ years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Staff: 7+ years of experience, with a track record of leading significant technical initiatives and influencing engineering practices beyond your immediate team.
• Principal: 10+ years of experience, with demonstrated impact at an organizational or industry level — setting multi-year technical direction and driving outcomes across multiple teams.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts from research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives at all levels of the organization.

What You Must Have

• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as Triton, TensorRT, or similar frameworks.
• Publications in top-tier ML conferences, contributions to patent applications, or ML-related open-source projects.
• For Staff/Principal: experience building and scaling ML teams, defining org-wide technical standards, or driving cross-company research agendas

About the Team

The Sensors and System Software team is crucial to autonomous driving, developing the core software that allows our vehicles to perceive and understand the world around them. Join our team and directly contribute to groundbreaking autonomous driving technology, revolutionizing transportation. Work with state-of-the-art sensors and technologies, pushing the boundaries of perception. Learn from top engineers, tackle complex challenges, and expand your expertise in real-time systems, embedded software, and sensor fusion. Thrive in a dynamic team of experts, fostering innovation and intellectual stimulation.

About the Role

We are seeking a highly experienced Embedded Linux Software Engineer responsible for building and maintaining the custom Linux-based systems that power our cutting-edge embedded devices. You'll work closely with hardware and sensor team colleagues to develop and optimize the low-level software that drives our core technologies.

What You'll Do

• Perform initial board bring-up on new hardware revisions, working closely with hardware engineers to debug and validate system functionality.
• Working closely with other teams to build and maintain our custom Linux distributions to enable testing, manufacturing and production operations for various embedded devices.
• Write, port, and debug complex Linux device drivers for a wide array of vehicle-critical peripherals, including: GMSL/FPD-Link cameras, automotive Ethernet and various peripherals: I2C, SPI, PCIe, GPIO, and UART.
• Support the users by providing technical support and debugging cross disciplinary software and hardware-related problems.
• Develop, optimize and maintain low-latency, robust low-level userspace software for Camera, LiDAR, Radar, IMU, GNSS, Microphones, and other autonomous vehicle sensors and actuators using C++/Python.

What You'll Need

• Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering and related fields.
• Minimum of 5 years of experience in embedded software development.
• Strong proficiency in C/C++ programming for real-time embedded systems, including working in an asynchronous environment with multiple real-time, low-latency, safety-critical systems processes.
• Strong skills in Python and Bash for automation, testing and supporting tasks
• Proven, hands-on experience with embedded Linux kernel, including preempt_rt, device drivers and system services development for ARM-based platforms.
• Demonstrable experience with board bring-up on custom hardware.
• Understanding the electrical engineering fundamentals to be able to perform schematics and designs reviews and hardware debugging using oscilloscope, logic analyzers, etc.
• Experience with common automotive hardware interfaces like CAN, SPI, I2C, PCIe, Ethernet.
• Experience with Linux networking and debugging network-related issues.

Nice to Have

• 5+ years of experience in software engineering, preferably in self-driving cars or other autonomous vehicles or robotic systems
• Experience with the Nvidia embedded platforms, including the video processing subsystem - ISP, SerDes, Hardware encoding.
• Understanding fundamentals of Camera, LiDAR, Radar, IMU, GNSS, and other sensor technologies, including their principles of operation, pros/cons and limitations.
• Familiarity with ROS or similar frameworks and related communication protocols.

About the Team

Our company is at the forefront of developing cutting-edge autonomous driving technology. Autonomous vehicles are highly complex systems that rely on robust operating systems, seamless network connectivity, and efficient management tools. We are responsible for developing and maintaining the operating systems and system software that power self-driving cars and delivery robots. Our team ensures seamless network connectivity, reliable fleet-wide releases with observability, and end-to-end ride-log capture and delivery. By providing the critical infrastructure that underpins autonomous mobility, we enable our vehicles to operate safely, efficiently, and at scale. 

About the Role

In this role, you will focus on designing and developing software that captures, encodes, and transmits large volumes of vehicle logs with maximum performance and reliability. You will build system services for secure and efficient data delivery from the car to the cloud, as well as backend services that control data transfer and processing workflows. You will work closely on optimizing storage and processing pipelines in the cloud, ensuring that terabytes of data can be moved, stored, and analyzed at scale. Your work will directly support the data platform architecture, enabling faster development cycles and providing the insights needed to advance autonomous driving technology.

What You'll Do

• Design, develop, and maintain logging software for autonomous driving system.
• System services for data transmission to the cloud.
• Backend services for controlling data delivery and processing.
• Optimize data storage and processing in the cloud.
• Take part in data-platform architecture design and implementation.

What You'll Need

• 3+ years of experience in system-level software development.
• Proficiency in Linux-based systems, including both x86 and embedded devices.
• Proficiency in one of the required programming languages (Python, C++, Go).
• Familiarity with distributed systems and data storage solutions.
• Experience with backend development and cloud services (AWS is a significant plus).
• Solid understanding of large-scale data processing principles.
• Basic understanding of software system security principles.

Nice to Have

• Knowledge of Linux distribution management, particularly Ubuntu and NixOS (the latter is a significant plus).
• Familiarity with DevOps practices, including CI/CD processes on GitHub, AWS, and Kubernetes for cloud infrastructure.
• Willingness to engage in cross-functional tasks and learn new technologies.

Site Infrastructure Engineer (Networking & Compute)

About the team

The Site Infrastructure team owns server and network infrastructure across Avride's physical locations — AV garages and offices. We ensure R&D and fleet operations have the reliable compute and connectivity they need as the autonomous vehicle fleet scales.

About the role

You will own two domains: server hardware and on-site networking. This is a hands-on, on-site role that puts you at the center of building and scaling the physical infrastructure behind Avride's self-driving technology.

What you will do

• Assemble, image, rack, and cable custom-built servers — often non-standard configurations with the latest CPUs and GPUs
• Deploy and maintain switches, routers, and structured cabling across garage and office sites
• Troubleshoot and resolve hardware, network, and ISP connectivity issues end to end
• Select server configurations based on workload requirements and hardware trade-offs
• Maintain high-throughput network performance and uptime across all locations
• Manage physical site infrastructure: rack layouts, cabling runs, power, cooling, and equipment lifecycle
• Create and maintain internal documentation: runbooks, infrastructure diagrams, and configuration notes
• Partner with engineering and operations teams to support testing, development, and production needs

What you will need

• Proficiency with enterprise network equipment at an administrator or engineer level (MikroTik, Cisco, Juniper, Ubiquiti, FS, or similar)
• Strong grasp of routing, switching, VLANs, and high-throughput network architecture
• Solid Linux administration skills (system-level configuration, diagnostics, networking stack)
• Experience assembling, troubleshooting, and selecting optimal server hardware configurations
• Comfort with physical work: racking, stacking, cabling, and maintaining server room environments

Nice to have

• Experience with server room or small-DC design (power planning, cooling, layout)
• Familiarity with NixOS or declarative system management
• Scripting skills (Python, Bash)
• Experience with Infrastructure as Code tools (Terraform, Ansible)
• Track record of scaling infrastructure in a fast-growing environment

About the Team

We are a fast-moving team of infrastructure and platform engineers building Fleet Orchestrator, which manages our entire fleet state, including software versions and configuration. Our system ensures that every vehicle in the field is running the correct, validated software stack — from the core autopilot bundles to low-level sensor firmware.

About the Role

We’re looking for a Senior Software Engineer to take a key role in designing and evolving our Fleet Orchestrator. You’ll be responsible for the architecture, implementation, and reliability of the system that deploys software to thousands of autonomous vehicles operating in complex urban environments.

This is a hands-on, high-impact role where your work directly ensures the stability, consistency, and safety of our fleet at scale. You'll be solving complex systems problems that are critical to our mission.

What You'll Do

• Design and build a cloud-based service that dynamically computes and serves vehicle software specifications based on fleet requirements, operational state, and hardware profiles.
• Architect and develop the agent that runs on every vehicle, managing its state and software lifecycle.
• Deepen our integration of the agent with the underlying OS to ensure robust and isolated application environments on the vehicles.
• Collaborate with other involved teams to define and implement deployment strategies that improve reliability, enhance the developer-to-vehicle workflow, and ensure reproducible deploys.
• Debug and resolve complex, system-level issues across the fleet, ensuring high reliability and uptime for our autonomous systems.

What You'll Need

• Strong proficiency in Python, with experience building robust, testable, and maintainable applications.
• Solid experience with Linux systems programming and administration, particularly with systemd.
• Experience building and running systems in production. Proficiency with AWS, Kubernetes, or similar technologies is highly valued
• A systems-thinking mindset—you can reason about complex distributed systems and their failure modes.

Nice to Have

• Deep understanding of software deployment, configuration management, and infrastructure-as-code principles.
• Proficiency in Go, particularly for building scalable backend services.
• Experience with Nix or NixOS
• Familiarity with gRPC for building inter-service communication.
• Background in robotics, IoT, or managing software for embedded or remote hardware.

About the Team

We are a team of backend and platform engineers responsible for the core systems that drive our fleet’s operational efficiency. Our mission is to build the "brain" behind fleet management —systems that track the physical state of every vehicle, manage complex hardware configurations, and manage vehicle availability, scheduling, and operational workflows. We act as the source of truth for the physical state and readiness of our fleet.

About the Role

We are looking for a Senior Software Engineer to design and scale the backend services that power our Asset Management and Fleet Management platforms. In this role, you will architect systems that handle complex resource allocation, lifecycle tracking, and workflow automation.

You will work on high-availability services where reliability is paramount. Your work will directly impact how our entire organization interacts with our cars and robots, from assembly and maintenance to production dispatching.

What You'll Do

• Architect and develop scalable backend services that manage the complex lifecycle and state of our autonomous assets.
• Design sophisticated resource orchestration logic to handle mission scheduling, shift management, and automated conflict resolution.
• Build and optimize high-performance APIs (REST and gRPC) used by both web clients and the vehicles themselves.
• Integrate with various internal and third-party tools to create seamless, automated workflows for our operations and engineering teams.
• Lead the technical design of new features, ensuring they are robust, maintainable, and built for future scale.

What You'll Need

• Extensive experience in backend development using Python or Go.
• Deep expertise in relational database design and optimization
• Proven track record of building, deploying, and maintaining robust, data-intensive backend services.
• Strong understanding of how to translate intricate business requirements and physical constraints into clean, modular code.
• A product-oriented mindset — you care about the reliability and usability of the tools you build.

Nice to Have

• Experience with cloud platforms (AWS) and modern infrastructure-as-code practices.
• Familiarity with gRPC and Protocol Buffers for inter-service communication.
• Background in building operational tools, logistics systems, or resource management platforms.

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

About the role

We’re looking for a hands-on IT Team Lead to own and grow our internal IT function. You’ll lead a small team responsible for internal IT end-to-end across both operations and systems, helping keep employees productive, equipped, and supported throughout their time at the company.

This is a leadership role with real operational ownership. You’ll drive how internal IT services are delivered, improve the tools and processes behind them, and stay close enough to the work to step in on complex or high-priority issues when needed. Your scope will include employee lifecycle support, end-user support, hardware and software management, access coordination, workplace technology, internal IT systems, and keeping IT processes effective, well-documented, and audit-ready.

What you will do

• Lead, develop, and grow the IT team. Set priorities, distribute work, and maintain high service quality across the full scope of internal IT.
  
  
• Own core IT processes: onboarding and offboarding, end-user support, hardware and software provisioning, license administration, and access coordination.
  
  
• Manage the corporate device and software lifecycle — inventory planning, procurement follow-up, renewals, returns, and optimization of hardware and SaaS usage.
  
  
• Partner with HR, Security, Workplace, Finance, and other stakeholders on employee lifecycle workflows, access processes, office IT, and audit-readiness in IT-owned domains.
  
  
• Identify bottlenecks, risks, and scaling gaps. Drive improvements in workflows, tooling, automation, documentation, and team structure — while staying hands-on in complex cases.

What you will need

• 5+ years in IT operations or a broad internal IT function, including experience leading a team.
  
  
• Strong hands-on background in end-user support, endpoint management, and day-to-day IT operations.
  
  
• Solid understanding of identity and access management, SaaS administration, asset management, and employee lifecycle processes.
  
  
• Experience working cross-functionally with HR, Security, Finance, Procurement, and other stakeholders in a growing company.
  
  
  

Nice to have

• Experience leading IT in a fast-growing startup or product company.
  
  
• Experience with MDM platforms (Jamf, Intune, or similar) and Google Workspace administration.
  
  
• Experience supporting audit or compliance readiness in operational IT domains.
  
  
• Scripting or automation skills (Bash, Python, or low-code workflow tools).
  
  
• Experience designing team processes, role distribution, or rotational support models.

About the Team

The Embedded Tools Team develops and supports infrastructure for embedded software development. Our responsibilities include developing and supporting continuous integration/continuous delivery (CI/CD) pipelines for in-house electronic hardware devices, developing software for firmware deployment, and participating in the design and development of a specialized acceptance test system used at our manufacturing site. We are a pragmatic team that prioritizes sound engineering and collaboration.

About the Role

What You'll Do

• Design, develop, and maintain continuous integration and continuous deployment (CI/CD) pipelines and hardware-in-the-loop (HIL) systems for our embedded software, which is developed specifically for in-house built electronic hardware. This will streamline the software build, test, deployment, and usage processes.
• Create tools for testing, diagnostics, and management of embedded systems.
• Work with hardware and other software teams to ensure everything works well together.
• Monitor infrastructure performance and implement improvements to enhance stability and efficiency.
• Provide support to development teams by answering questions and resolving issues related to the embedded firmwares CI/CD process, builds and development flow.

What You'll Need

• CI/CD & Automation:  Practical experience designing and maintaining workflows in GitHub Actions. 
• Python (High Proficiency): Most of the tooling, diagnostic servers, and firmware update logic are written in Python. should have deep experience with both Asyncio and Hardware Interaction including proven experience using pyserial , python-can , and smbus2.
• Modern Build Systems: Hands-on experience with Bazel and Nix for reproducible builds and package management.
• C++ & Systems Programming: Ability to read, interpret, and debug C++ firmware code.
• Scripting: Proficiency in Bash for low-level system configuration and hardware initialization scripts.
• Technical Literacy: Ability to interpret complex technical documentation and electrical schematics to understand hardware and plan software architecture. 
• Interface Protocols: Deep understanding of standard communication interfaces, specifically CAN, UART, Ethernet, and I2C.
• Ownership: A highly responsible, organized, and methodical approach to problem-solving.

Nice to Have

• Experience with Unix-like environments, command-line tools, and automation.
• Knowledge of isolation and virtualization techniques, particularly Linux containers and Docker.
• Experience in building and scaling CI/CD automation and infrastructure management.
• Knowledge of Linux distribution management, particularly Ubuntu and NixOS (the latter is a significant plus).
• Experience with various software build systems (Bazel , CMake).
• Familiarity with DevOps practices, including CI/CD processes on GitHub, AWS, and Kubernetes for cloud infrastructure. 
• Skills with soldering equipment.
• Experience in the automotive industry (CAN, DBC, ISO TP, UDS, DoIP). 

About the Team

The Embedded Software Development Team creates and maintains firmware for the electronic control units of autonomous vehicles and delivery robots. We specialize in developing reliable, high-performance real-time systems using contemporary automotive-grade microcontrollers, contributing to the advancement of self-driving and robotics. We are a pragmatic team that prioritizes sound engineering and collaborative effort.

About the Role

What You'll Do

• Participate in developing diverse electronic units for autonomous vehicles and delivery robots.
• Develop software using C++ and Python.
• Create tools for testing, diagnostics and management of embedded systems.
• Develop tools for the testing, diagnostics, and management of embedded systems.
• Work with hardware and other software teams to ensure everything works together well.
• Optimize code for better performance and reliability.

What You'll Need

• Experience writing efficient, reliable, and testable code.
• Good knowledge of classic algorithms and data structures.
• 3+ years of experience in production software/firmware development.
• Read documentation and schematics to understand hardware and plan software architecture.
• Strong understanding of interfaces: CAN, RS232/RS485, Ethernet, SPI, I2C.
• Understanding of Real-Time Operating Systems (RTOS) in projects.
• Responsible and organized approach to work.

Nice to Have

• Experience with Unix-like environments, command-line tools, and automation.
• Familiarity with version control systems (like Git) and scripting.
• Experience in the automotive industry.
• Skills with soldering equipment.

About Avride

Avride is a US-based developer of autonomous vehicles and delivery robots. We develop and operate both autonomous cars and delivery robots that share technologies and mutually benefit from each other's advancements—a unique approach in the industry. 

About the Internship

At Avride, ML Engineer Interns operate at the intersection of cutting-edge academic research and real-world engineering. You will use our massive datasets of real driving logs to train models and develop algorithms.

During this internship, you will be embedded in our Perception team. The Perception team serves as the eyes and ears of our autonomous vehicles, transforming raw data from cameras, LiDAR, and microphones into a precise, real-time 3D understanding of the surrounding world. 

You will be paired with a dedicated senior mentor and work on problems directly impacting real-world driving performance. This program is designed to give you a deep understanding of how to take a theoretical concept or novel system architecture, prototype it, and evaluate its performance within a complex, safety-critical stack.

What You’ll Do

We are currently offering four different internships within our Perception Team for the Summer of 2026. 

Long-Tail 3D Entity Recognition via Pre-Trained 2D Models

• Targeted ML Investigation: Take charge of solving a classic autonomous driving challenge: long-tail entity recognition. You will research how to leverage the broad visual knowledge of pre-trained, open-source 2D models for 3D applications.
• Simulation-Driven Evaluation: Design and run rigorous experiments in our simulation environment to prove your models can detect rare, infrequent objects without sacrificing precision.
• Feature Integration: Work closely with your mentor to prototype and iterate on techniques that adapt these 2D features into our current perception stack.
• Knowledge Sharing: Conclude your internship by sharing your experimental findings, recall/precision trade-offs, and simulation methodology with the research and engineering groups.

RGB-Only 3D Perception & RGB-LiDAR Fusion

• Applied Research Ownership: Lead a scoped research initiative to advance our 3D perception capabilities. You will dive into state-of-the-art literature on RGB-only methods and formulate hypotheses to improve sensor fusion.
• Model Training & Experimentation: Utilize Avride’s extensive real-world LiDAR and camera datasets to train, test, and evaluate ML models using PyTorch, aiming to extract stronger, more reliable signals from RGB data.
• Iterative Prototyping: Partner with your mentor to design and refine algorithms that directly enhance our existing perception baselines.
• Knowledge Sharing: Present your methodology, fusion results, and future recommendations to the broader engineering and research teams at the end of your term.

Data Engineering - Visual Scene Search via Vector Embeddings

• System Architecture & Design: Own the development of a new vector-based search capability to upgrade how we query our scene database. You will research and integrate embedding models (like CLIP) alongside our existing natural language systems.
• Data Tooling Implementation: Build out the backend infrastructure using Python to map and search Avride's massive library of real-world camera data.
• Pipeline Integration: Collaborate with your mentor to deploy these embedding models effectively, unlocking faster and smarter data mining for our labeling and perception teams.
• Knowledge Sharing: Present your system architecture, search performance metrics, and the practical impact of your new tool to the wider engineering organization.

Audio Signal Processing & Siren Recognition Pipeline

• End-to-End Pipeline Creation: Lead an applied engineering project centered on our vehicle microphone arrays. You will design and build a robust data mining pipeline to extract relevant audio signals from raw vehicle logs.
• Auto-Labeling & Fine-Tuning: Leverage large open-source models to automatically label your mined data, then use that dataset to train and fine-tune a compact, efficient onboard ML model for siren recognition.
• Edge Optimization: Partner with your mentor to iterate on the model's performance, ensuring it is highly accurate and lightweight enough for real-time onboard processing.
• Knowledge Sharing: Wrap up your internship by demoing your automated labeling pipeline and the performance of your onboard siren detector to the engineering teams.

What You’ll Need

• Education: Currently pursuing a Bachelor's, Master’s, or PhD (highly preferred) in Computer Science, Robotics, Machine Learning, Applied Mathematics, or a related field with an expected graduation date between Winter 2026 and Spring 2027. 
• Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or probabilistic modeling.
• Programming Skills: Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Basic familiarity or willingness to learn C++.
• Research Acumen: Ability to read, understand, and implement algorithms from academic research papers. A strong analytical mindset for designing experiments and interpreting data.
• Eagerness to Learn: Highly collaborative, open to feedback, and excited to tackle unsolved problems in the autonomous driving space.

What You’ll Get

• 1:1 Mentorship: Direct guidance from leading researchers and engineers in the autonomous vehicle industry to help you navigate technical roadblocks and grow your career.
• Massive Compute & Data: Access to state-of-the-art driving data to fuel your experiments.
• Networking & Culture: Invitations to tech talks, paper reading groups, intern social events, and cross-team collaborations.

Please note that this is an in-person internship based at our office in Austin, Texas.  We are prioritizing candidates who currently reside within commuting distance of Austin.  We do not provide relocation assistance, travel reimbursement, or housing stipends for this position.

About Avride

Avride is a US-based developer of autonomous vehicles and delivery robots. We develop and operate both autonomous cars and delivery robots that share technologies and mutually benefit from each other's advancements—a unique approach in the industry. 

About the Internship

At Avride, Research Engineer Interns operate at the intersection of cutting-edge academic research and real-world engineering. You will use our massive datasets of real driving logs to train models and develop algorithms.

During this internship, you will be embedded in the ML Prediction and Planning team, which is responsible for building machine learning models that enable autonomous vehicles to understand their environment and make safe, efficient driving decisions on real roads. The team focuses on predicting the behavior of surrounding agents and generating trajectories that the vehicle can follow in complex, dynamic scenarios.

You will be paired with a dedicated senior researcher and work on problems directly impacting real-world driving performance. This program is designed to give you a deep understanding of how to take a theoretical concept from a research paper, prototype it, and evaluate its performance in a complex, safety-critical system.

What You’ll Do

We are currently offering two different internships within our ML Prediction and Planning team for the Summer of 2026. 

Autonomous Vehicles

• Applied Research Project: Take ownership of a research project focused on exploring how model ensembling strategies influence the gap between open-loop (training) and closed-loop (simulation) performance. You will review relevant literature, formulate hypotheses, and prototype solutions using Python and ML frameworks (like PyTorch).
• Design Ensembling Strategies: Implement and evaluate multiple ensembling approaches, including blending models trained with different random seeds, combining checkpoints from different training stages, and applying weighted averaging or learned blending of model outputs.
• Run Controlled Experiments: Systematically compare single-model vs ensemble performance and seed diversity vs checkpoint diversity, and measure their impact on open-loop metrics (training/validation loss, accuracy) and closed-loop metrics (simulation performance, safety, stability).
• Analyze Metric Alignment: Investigate the correlation (or lack thereof) between open-loop and closed-loop improvements, identify cases where ensembling improves one metric but degrades the other, and formulate hypotheses explaining the observed behavior.

Simulation

• Applied Research Project: You will work on evaluating and improving the behavior of ML-driven traffic agents in our autonomous driving simulator. Our prediction model generates multiple trajectory candidates for each simulated agent at every step. Your job is to design evaluation functions that select trajectories with desired properties — from realistic to adversarial — and build quantitative metrics to measure how agent behavior changes. Today we assess realism visually; you will replace that with data-driven evaluation that becomes the standard tool for measuring every future improvement to our agent simulation. You'll work with real driving data, run experiments on large scenario pools, and produce results that directly influence the team's roadmap for agent simulation.
• Design and implement algorithms: work alongside your mentor to design, test, and iterate algorithms that select agent trajectories optimizing for different objectives: aggressiveness, interaction density, route fidelity.
• Build evaluation metrics: for comparing agent behavior strategies: interaction intensity (time-to-collision, proximity), kinematics plausibility (acceleration, jerk), and distributional similarity to real traffic.
• Data-Driven Experimentation: run experiments on large-scale scenario pools, comparing ML agents agains baseline approaches and measuring the impact of different strategies.
• Work with production codebase: the prediction models you'll experiment with are the same ones deployed in our autonomous vehicles. Your work is a part of a C++ simulation pipeline running large-scale scenario evaluation.
• Knowledge Sharing: Conclude your internship by presenting your methodology, experimental results, and data-driven recommendations on where trajectory ranking is sufficient and where model-level changes are required.

What You’ll Need

• Education: Currently pursuing a Bachelor's, Master’s, or PhD (highly preferred) in Computer Science, Robotics, Machine Learning, Applied Mathematics, or a related field with an expected graduation date between Winter 2026 and Spring 2027. 
• Machine Learning / Math Foundation: Strong understanding of deep learning, reinforcement learning, computer vision, optimization, or probabilistic modeling.
• Programming Skills: Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow). Basic familiarity or willingness to learn C++.
• Research Acumen: Ability to read, understand, and implement algorithms from academic research papers. A strong analytical mindset for designing experiments and interpreting data.
• Eagerness to Learn: Highly collaborative, open to feedback, and excited to tackle unsolved problems in the autonomous driving space.

What You’ll Get

• 1:1 Mentorship: Direct guidance from leading researchers and engineers in the autonomous vehicle industry to help you navigate technical roadblocks and grow your career.
• Massive Compute & Data: Access to state-of-the-art driving data to fuel your experiments.
• Networking & Culture: Invitations to tech talks, paper reading groups, intern social events, and cross-team collaborations.

Please note that this is an in-person internship based at our office in Austin, Texas.  We are prioritizing candidates who currently reside within commuting distance of Austin.  We do not provide relocation assistance, travel reimbursement, or housing stipends for this position.

About the Team

Avride is a leading developer in the autonomous vehicle and delivery robot industry.  Our dynamic team, composed of a few hundred engineers develops and operates autonomous cars and delivery robots across the globe, shaping the future of mobility and logistics.

At Avride, we are committed to making the roads safer and more accessible for everyone. At the core of our philosophy is the belief in the transformative power of technology. Every product we develop, every test we conduct, and every service we launch is anchored in our vision of creating a safer and more sustainable world with help of cutting-edge technologies and breakthrough solutions.

About the Role

Avride is looking for a Lead Software Engineer to design API and UX surface of the Pipelines for the main framework of interconnectivity for car and robot components. This position will also steer development and streamline the evolving Pipeline engine.

What You’ll Do

• Design, implement and evolve API and UX surface of the Pipeline: the main framework of interconnectivity for Avride components for both car and robot.
• Have the hand on the pulse of developer productivity and happiness: constantly gather feedback, dive deep into problems and friction team members face when working with pipeline framework.
• Research and know how non-developer users interact with Pipeline.
• Proactively act upon known problems: add documentation, tutorials, host talks, improve APIs and tools.
• Steer development of the pipeline engine itself to be able to deliver the external APIs promised.
• Proactively seek conceptual changes required to simplify and streamline evolving the understanding of what the Pipeline is: refine definitions, seek synergy with other frameworks used in the industry outside company (spark, ray etc)
• Refactor existing APIs together with user code to keep maintenance costs reasonable.

What You’ll Need

• Master’s degree in Computer Science or equivalent. Foreign equivalent is accepted.
• 5 + years of professional experience in Software Development/Engineering or equivalent.
• Confident in designing clean easy-to use efficient APIs in C++, Python
• Familiarity with developing python bindings for C++ (pybind11)
• Familiarity with build systems (Make, Cmake, Bazel is a plus)
• Strong knowledge of data structures and algorithms.
• Experience in planning and implementing refactorings touching big portions of the code base.
• At least 2 years experience building infrastructure for internal consumers: negotiating APIs, requirements and priorities
• Ability to participate in project management activities, set goals and deadlines on at least a couple of months horizons, collaborate with other teams.

About Avride

Avride is a U.S.-based autonomous vehicle company headquartered in Texas, with additional global R&D hubs. We develop and operate both autonomous cars and delivery robots. Since 2017, we’ve built deep expertise in autonomous systems. Today, in partnership with Uber, we operate a fleet of robotaxis in Dallas, Texas. Our Operations Team of drivers is essential to testing, ensuring every mile meets the highest safety standards while working closely with engineering and QA in a fast-paced, mission-driven environment.

About the Role

What You'll Do

• Operate autonomous vehicles safely and lawfully to collect critical data on system performance and environmental factors.
• Interact professionally with riders, engineers, and company operations leaders to provide feedback and insights.
• Monitor vehicle performance and conduct in-field testing to ensure operational safety.
• Prepare vehicles daily for in-field operations, including safety checks and system readiness.
• Submit detailed reports to support system advancements and operational improvements.
• Be prepared for the actions of other drivers and pedestrians as well as for unexpected events.
• Be alert and distraction free while in vehicles.

What You'll Need - Please include any professional driving experience (including Uber/Lyft/Favor or similar platforms) on your resume.

• Experience as an autonomous vehicle operator, experience driving for an app-based company (Lyft, DoorDash, etc.), or a combination of professional driving experience and IT/technical experience. 
• If you have an Uber Driver account, it must be in good standing (no deactivations or unresolved issues)
• A valid US driving license for the last 3+ years
• Candidates must be at least 25 years old, unless you have a grandfathered Uber driver account that was established before turning 25.
• Must have a clean driving record with no DUIs, drug, and/or alcohol-related offenses within the last 5 years
• Able to anticipate hazardous situations and act quickly and safely, despite adverse conditions or the mistakes of others when operating a motor vehicle
• Have a thorough knowledge of local traffic regulations
• Excellent communication skills and a strong attention to detail
• A willingness to work in various weather conditions and comfortable driving on different types of roads
• Takes ownership with a high level of responsibility
• Uber eligibility check, drivers check, background check and drug test completed prior to start 
•  

Nice to Have

• Knowledge of vehicle technology and control systems
• Certification from safe driving or defensive driving courses
• Additional courses in Safety Driving or Defensive Driving

Benefits:

• Pre-tax commuter benefits
• Employer Subsidized Healthcare Benefits thru our 3rd party employer of record partner
• Flexible Spending Account for healthcare-related costs
• Short and long-term disability and life insurance thru our 3rd party employer of record partner
• 401k package

About Avride

Avride is a U.S.-based autonomous vehicle startup headquartered in Austin, TX, with additional R&D hubs around the world. Our company develops and operates both autonomous cars and delivery robots that share technologies and mutually benefit from each other’s advancements—a unique approach in the industry. Since 2017, Avride has been building expertise in autonomous technologies to create solutions that address current needs and anticipate future demands. Today, we operate a fleet of autonomous vehicles in Dallas, Texas, in partnership with Uber, bringing our technology into real-world deployment.

About the Team

Our Operations Team is at the core of autonomous vehicle testing, ensuring every mile driven meets the highest safety standards. We work closely with engineers and QA teams to bring cutting-edge technology safely to the real world. It's a fast-paced, mission-driven environment where precision and responsibility matter.

About the Role

In this role, you will operate Avride autonomous vehicles in the Austin area, supporting testing and on-road operations. You will be driving Avride vehicles and will be paid an hourly rate of $25/hour. This is a full-time position (40 hours per week) with two shift options: Tuesday through Saturday (8 hours per day) or Friday through Monday (10 hours per day). The role is based out of our North Austin location, with driving taking place throughout the city. During your shift, you will work closely with remote operators alternating between manual driving and supervising the vehicle in autonomous mode. As part of your driving role, you will support data collection and testing efforts, which may include adjusting hardware, uploading software, and assisting with basic technical troubleshooting.

This role is employed through our 3rd party employer of record partner and offers weekly pay on Fridays. Employees are eligible for subsidized benefits starting on the first day of the month following 60 days of employment, as well as access to a 401(k) plan and paid time off.

Available Schedules:
Tuesday - Saturday (8 hours per day, 40 hours per week)
Friday - Monday (10 hours per day, 40 hours per week)

Available Shifts:
AM Shift Options: $25/hr
4:30 am - 3:00 pm (Friday - Monday ONLY)
5:00 am - 1:30 pm
5:30 am - 2:00 pm
6:00 am - 2:30 pm
6:30 am - 3:00 pm

PM Shift Options: $25/hr
2:30 pm - 1:00 am (Friday - Monday ONLY)
2:30 pm - 11:00 pm
3:00 pm - 11:30 pm
3:30 pm - 12:00 am
4:00 pm - 12:30 am

Additional Shift Offerings: If you’re unable to work the currently available shifts but are still interested in this role, we encourage you to apply! Please indicate your preferred shifts in your application, and we will reach out when those opportunities become available.

What You'll Do

• Operate autonomous vehicles safely and lawfully to collect critical data on system performance and environmental factors.
• Interact professionally with riders, engineers, and company operations leaders to provide feedback and insights.
• Monitor vehicle performance and conduct in-field testing to ensure operational safety.
• Prepare vehicles daily for in-field operations, including safety checks and system readiness.
• Submit detailed reports to support system advancements and operational improvements.
• Be prepared for the actions of other drivers and pedestrians as well as for unexpected events.
• Be alert and distraction free while in vehicles.

What You'll Need - Please include any professional driving experience (including Uber/Lyft/Favor or similar platforms) on your resume.

• Experience as an autonomous vehicle operator, driving instructor, motorsports racer, or in another role that demands strong safety awareness and exceptional driving skills. Any prior driving experience (e.g., Uber or similar) should be clearly listed on the resume submitted for this role.
• A valid US driving license for the last 3+ years
• Must have a clean driving record with no DUIs, drug, and/or alcohol-related offenses within the last 5 years
• Able to anticipate hazardous situations and act quickly and safely, despite adverse conditions or the mistakes of others when operating a motor vehicle
• Have a thorough knowledge of local traffic regulations
• Excellent communication skills and a strong attention to detail
• A willingness to work in various weather conditions and comfortable driving on different types of roads
• Takes ownership with a high level of responsibility
• Drivers check, background check and drug test completed prior to start 

Nice to Have

• Knowledge of vehicle technology and control systems
• Certification from safe driving or defensive driving courses
• Additional courses in Safety Driving or Defensive Driving

Benefits:

• Pre-tax commuter benefits
• Employer Subsidized Healthcare Benefits thru our 3rd party employer of record partner
• Flexible Spending Account for healthcare-related costs
• Short and long-term disability and life insurance thru our 3rd party employer of record partner
• 401k package

About the Team

Our team sits at the core of AvRide's self-driving stack. We build and own the foundational pipeline framework responsible for executing autopilot code with a relentless focus on reliability, reproducibility, and determinism. These properties are non-negotiable: they underpin the offline quality evaluations and A/B testing infrastructure that drive how we measure and improve our autonomy technology.

About the Role

We're looking for a senior engineer who wants to own critical infrastructure at the heart of a self-driving vehicle platform. You'll work closely with autonomy teams across AvRide to deeply understand their needs, then design and deliver the pipeline systems they depend on. This isn't a role for someone who wants to execute a spec  it's for someone who wants to set technical direction, raise the bar on performance and safety, and leave a lasting mark on how AvRide builds its self-driving stack.

What You'll Do

• Own the design and evolution of AvRide's core pipeline framework  the system responsible for orchestrating autopilot components and managing interactions between them. You'll drive this from requirements through architecture to production.
• Set the standard for performance and safety. Write high-performance C++ code and build the monitoring infrastructure to enforce it — ensuring the pipeline meets the stringent requirements of a real-world autonomous vehicle system.
• Take long-term ownership of data compatibility and algorithm reproducibility  foundational properties that allow recorded data to reliably measure and improve autopilot quality over time.
• Build developer tooling and observability systems that help autonomy engineers detect, understand, and resolve problems in their code faster.
• Lead the design and automation of testing infrastructure for autopilot code defining practices adopted across teams and enforced in CI.
• Advocate for simplicity and long-term maintainability. Write well-structured code, produce clear design documents, and help the team resist unnecessary complexity.
• Act as a technical anchor for the team  mentoring engineers, leading code reviews, and driving alignment on architecture with stakeholders across autonomy disciplines.

What You'll Need

• 5+ years of professional software engineering experience with strong command of modern C++ (C++17/20) in production systems.
• Demonstrated experience writing high-performance, low-latency, or safety-critical systems  you understand what it means for correctness and performance to be non-negotiable.
• A track record of independently designing and shipping complex systems  including scoping the problem, evaluating trade-offs, and verifying outcomes after delivery.
• Strong communication skills you can turn ambiguous requirements from technology teams into crisp designs, and explain technical decisions clearly in writing.

Nice to Have

• Python experience for scripting and non-time-critical tooling
• Background in autonomous vehicles, robotics, or other safety-critical real-time systems.

About the Team

At Avride, we're shaping the future of autonomous mobility. With a highly technical culture and a team of global talent, we move fast, think boldly, and build safely. As we continue to scale, we’re looking for a driven Immigration & Mobility Specialist to support our HR operations and enhance the candidate and employee experience.

About the Role

Avride is seeking a Contract Talent Partner/Junior Recruiter to fuel our rapidly growing workforce. In this pivotal role, you will own the full-cycle recruitment process for our hourly contract teams, ensuring we scale with both speed and precision. As the primary point of contact for candidates, you’ll partner closely with hiring managers to identify top talent and accelerate the hiring funnel while maintaining the high-standard candidate experience.

What You’ll Do

• Manage the full lifecycle recruiting for our hourly contractor workforce.
• Conduct high volume phone/video screens daily to identify and qualify talent for hourly roles
• Act as the face of Avride, moving candidates through the funnel with speed, clarity, and genuine enthusiasm
• Coordinate and manage recruiting logistics including scheduling onsites, prepping candidates for success, and following up to keep candidates engaged.
• Initiate background check and other pre-employment steps
• Coordinate offers and start dates
• Lead and attend hiring events, networking functions and career fairs
• Partner with the broader recruiting team to meet corporate hiring goals and objectives

What You’ll Need

• Minimum 2-3 years of recruiting or staffing experience in an agency or in-house environment
• Experience with high-volume/hourly hiring (ops, drivers, warehouse, trades, support, etc.)
• Demonstrated ability to deliver a great candidate experience at scale - clear communication, respect, and responsiveness.
• Organization and fast paced - nothing slips thru the cracks
• Comfortable being on calls all day
• Can quickly understand the value our company offers and position the company and role in a compelling way to candidates
• Prior experience with an ATS or agency CRM, such as Greenhouse, and familiarity with tools like Slack and Google Workspace. 
• General HR knowledge and a solid understanding of employment law/compliance

Nice to Have

• A passion for autonomous vehicles and technology
• Knowledge of local labor laws and background check nuances
• Experience with creative sourcing to find candidates in non-traditional places

About the Role

We’re looking for a senior PR professional to help scale our communications and build a consistent, high-quality media presence. This role will partner closely with the Head of Communications, combining strong execution with the ability to shape narratives and contribute to overall strategy.

You will play a key role in turning company developments into stories that resonate — with media, partners, and broader audiences.

What You’ll Do

• Drive a steady pipeline of meaningful media coverage across top-tier tech and business outlets, local media, and relevant industry-specific publications
• Build and leverage strong relationships with journalists, editors, and contributors across relevant media
• Identify and develop compelling story angles based on company developments, partnerships, and product milestones
• Own the full media cycle: from idea generation and pitching to securing coverage and managing follow-ups
• Write and refine high-quality materials, including press releases, pitches, bylines, engaging blog posts, and executive talking points
• Partner with teams across the company (product, engineering, business, leadership) to surface newsworthy moments
• Support communications for launches, partnerships, and market expansions
• Contribute to broader communications strategy, bringing ideas and perspective on positioning and messaging
• Support cross-functional communications initiatives, including marketing, sales, and employer branding / HR-related projects when needed

What You'll Need

• An experienced PR professional with a strong track record of securing media coverage in tech and/or business media
• Well-connected, with an existing network of journalist relationships you actively maintain
• Comfortable operating independently and driving outcomes end-to-end
• A strong writer with the ability to craft clear, compelling narratives from complex or technical topics
• Curious and proactive — you don’t wait for stories, you find and shape them
• Confident collaborating with stakeholders at different levels, including senior leadership
• Able to balance multiple priorities in a fast-moving environment
• Experience with social media as an extension of PR efforts — amplifying coverage, shaping narratives, and engaging audiences — is a strong plus

Nice to Have

• Experience in high-growth tech companies or emerging technology sectors (e.g., autonomous systems, robotics, AI)
• Experience working across multiple markets or with international media
• Background in both in-house and agency environments

About the Team

AVRIDE is an autonomous driving company with the mission to make transportation safer and more efficient through cutting-edge technology. We hold a unique position in the market, developing self-driving taxis and delivery robots. Our delivery robot division already has production in the US and Japan. Our team consists of highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and making a significant impact on the company's results and the autonomous industry as a whole.

About the Role

As a Senior Software Developer at Avride, you’ll lead the development of trajectory planning algorithms for autonomous vehicles, ensuring smooth system integration and real-world performance. You'll work across teams, drive technical decisions, and help build safe, intelligent driving behavior.

What You'll Do

• Design, develop and verify detailed algorithms related to autonomous vehicle trajectory geometry and all related components.
• Analyze autonomous rover behavior to detect inconsistencies and implement solutions, ensuring seamless operation across various system components.
• Overseeing the contributions to the geometry planning component of subordinate software engineers.
• Collaborate with other teams, responsible for various system modules related to trajectory geometry, ensuring their synchronized and cohesive operation.
• Ensure that data flow and commands are appropriately coordinated between these components for smooth and efficient operation of the autonomous vehicle.
• Devise and implement metrics for autonomous vehicle evaluation.
• Devise and implement feedback mechanisms about autonomous vehicle behavior.
• Simulating a variety of driving scenarios, ensuring the metrics remain comprehensive and cover an expansive range of potential situations.
• Quality Assurance Team feedback analysis.
• Ability to isolate issues within intricate, multi-component systems and conduct thorough root cause analysis.
•  Proficient code review.

What You'll Need

• Educational Requirement: A bachelor's degree in computer science, engineering or mathematics, or their equivalents.
• At least 12 years of experience as a software engineer.
• At least 5 years of experience with Linux and Docker.
• At least 3 years of relevant work experience in IT.
• Proven ability to implements leading AI related solutions.
• Strong knowledge of such programming languages as C++, Python.
• Proven understanding of basic ML models and its applications; Ability to implement and validate basic ML models.
• Should possess the confidence to guide teams and management towards making decisions; prepared to assertively seek information and responses.
• Proven ability to work with Kubernetes and AWS.
• Solid understanding of the software development lifecycle.
• Proven ability to work with members of cross-functional teams.
• Strong knowledge of wide range of algorithms to build performance efficient systems, proficiency with writing complex algorithmic logic.
• Excellent communication and interpersonal skills.
• Good critical thinking and problem-solving skills.
• Knowledge of traffic laws and driving norms to ensure the vehicle adheres to legal and safety standards.

About the Team

AVRIDE is an autonomous driving company with the mission to make transportation safer and more efficient
through cutting-edge technology. We hold a unique position in the market, developing self-driving taxis and
delivery robots. Our delivery robot division already has production in the US and Japan. Our team consists of
highly talented engineers with extensive expertise. Joining us means diving into a startup atmosphere and
making a significant impact on the company's results and the autonomous industry as a whole.

About the Role

As a Software Engineer at Avride, you will design and develop advanced firmware and drivers for LiDAR, motor 
control, and robotics systems. You’ll work with FPGAs, MCUs, and embedded platforms to build reliable,
high-performance solutions that power our autonomous technologies. This role combines deep expertise in low-level
programming, DSP optimization, and embedded systems integration, with hands-on testing and collaboration
across cross-functional teams to deliver cutting-edge solutions.

What You'll Do

• Design and develop firmware for LiDAR systems using SystemVerilog, optimize (digital signal processing) DSP algorithms to ensure high performance and reliability.
• Design and develop firmware for motor control on field programmable gate arrays (FPGAs) and microcontroller units (MCUs), provide calibration for optimal power consumption and stability.
• Develop drivers and software for CAN-bus gateway on MCU ensuring seamless communication between devices and systems.
• Develop drivers and software for uart, lin, ethernet peripheral devices and sensors for robotics systems.
• Design, implement, and maintain software for testing stands, utilizing Python and C++ to automate testing processes and improve efficiency.
• Collaborate with cross-functional teams to integrate firmware and software components into embedded systems.
• Perform testing, debugging, and optimization to ensure the quality and reliability of embedded solutions. Mostly using various measuring equipment.
• Provide technical support and assistance to internal teams and external partners as needed.

What You'll Need

• Bachelor's degree in Applied Mathematics, Electrical Engineering, Radio-technology or a related field. Foreign equivalent is accepted. 
• At least 12 years of experience in software engineering or similar. Alternatively, Master’s Degree in Applied Mathematics, Electrical Engineering, Radio-technology or equivalent plus at least 5 years of progressive work experience in software engineering. 
• Strong programming skills in Python, C++, and SystemVerilog, experience with MCU (STM, NXP) and FPGA (Xilinx, Intel, Lattice) programming. 
• Proven experience in firmware development for data processing and hardware control systems. 
• Knowledge of DSP concepts like FIR/IIR filters, FFT, convolution, signal reconstruction.
• Strong programming skills in Python, C++, and experience with MCU programming.
• Familiarity with CAN-bus communication protocols, Ethernet, spi, i2c and experience developing drivers for this peripheral.
• Solid understanding of embedded systems design principles, real-time operating systems, experience with hardware-software co-design and integration.
• Excellent problem-solving skills and attention to detail.
• Effective communication skills and the ability to work both independently and collaboratively in a team environment.

About team

Avride is at the forefront of autonomous mobility, developing and deploying state-of-the-art self-driving cars and delivery robots. We’re shaping the future of transportation and logistics—and our Labeling Team plays a vital role in bringing that vision to life.

The Labeling Backend Team builds the data infrastructure that powers groundbreaking research and development across our labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we deliver is critical to advancing our core technologies and supports the diverse range of models that drive our entire business.

About the Role

We are looking for a Research Engineer to improve the quality and representativeness of datasets powering our self-driving systems. You will design algorithms and tools for auto-labeling, data mining and dataset monitoring, combining strong Python engineering with applied ML concepts. Your work will directly enhance data efficiency, reduce labeling costs, and improve model performance.

What You'll Do

• Design and implement algorithms that optimize annotation, including auto-labeling systems that reduce manual effort and increase throughput
• Build data-mining and active-learning pipelines to surface the highest-value samples for training
• Create dataset-quality monitoring systems identifying noise, redundancy, and low-value data
• Develop analytics platforms (databases, dashboards, reporting) to track dataset quality and coverage over time
• Collaborate with ML and Perception teams to integrate research results into production workflows
• Explore emerging approaches (vision-language models, weak supervision, uncertainty estimation) to expand dataset quality and automation

What You’ll Need

• Bachelor’s or Master’s degree in Computer Science or related field
• Strong Python skills for algorithm development and prototyping
• Solid understanding of ML concepts (metrics, evaluation, dataset sampling, etc.)
• Experience with data processing and analysis at scale
• Ability to move between research prototyping and production engineering
• Strong analytical mindset and curiosity to dig deep into data quality problems

Nice to Have

• Experience with auto-labeling, weak supervision, or human-in-the-loop ML
• Exposure to 3D data (point clouds, sensor fusion, 3D annotation pipelines)
• Background in AV, robotics, or large-scale ML dataset development
• Experience with foundation models / VLMs
• Workflow orchestration systems (Argo, Airflow, etc.)
• Backend engineering experience (APIs, ORMs, databases)
• Experience building dashboards or analytics systems (Grafana, Superset, etc.)

About the Team

Avride is a rapidly developing company in the autonomous vehicle and delivery robot industry. We develop autonomous vehicle technology from scratch, leveraging the strong technical background of our core team and over seven years of experience in autonomous vehicle development. The Localization team is responsible for providing precise rover location to all the components of the autonomous rover pipeline, like perception, behavior layer, and control. We calculate the position and the orientation of the rover with centimeter and fraction-of-a-degree accuracy, dozens of times per second, and in all conditions. Our most valuable asset is people, each with many years of experience in robotics, EKF, ICP, SLAM algorithms, distributed data processing, software architecture, and machine learning, working together as a motivated, effective, and friendly team.

About the Role

What You'll Do

• Develop the cloud mapping subsystem with graph optimization at its core.
• Develop the Sensor Fusion Localization subsystem, which combines the measurements of multiple sensors (LiDAR, IMU, GNSS, etc.) to calculate rover position to centimeter precision and orientation to 0.1-degree precision.
• Support sister development and operation teams on issues related to localization.

What You'll Need

• 3+ years of professional software engineering experience
• Strong C++ programming skills
• Solid understanding of algorithms, data structures, and software design patterns
• Solid soft skills — intra- and inter-team collaboration, business-driven development focus, planning and getting-things-done, effective and respectful communication

Nice to Have

About the Team

Avride is a fast-growing leader in the autonomous vehicle and delivery robot industry. We are building the future of mobility from the ground up, backed by a core team with over seven years of pioneering experience in autonomous technology.

Our Control team is the driving force behind our vehicle's precision. We design robust systems that navigate trajectories with centimeter-level accuracy—smoother and more reliably than a human driver—across a vast range of real-world conditions.

About the Role

We are seeking a highly skilled software engineer to advance Avride's core Control System. In this role, you will architect sophisticated control systems using Model Predictive Control (MPC) and identify the dynamic parameters of our vehicles.

What You'll Do

• Design, implement, and optimize cutting-edge control systems in modern C++ (C++17/20).
• Develop and refine robust, high-precision solutions for trajectory tracking.
• Analyze and iterate on system performance using real-world vehicle data.
• Collaborate closely with engineers from our Planning and Hardware teams to build a cohesive and reliable self-driving system.
• Write clean, maintainable, and optimized production-quality code.
• Profile and optimize algorithms to meet real-time performance constraints.

What You'll Need

• 3+ years of professional software engineering experience.
• Expertise in modern C++.
• Deep understanding of algorithms, data structures, and software design patterns.
• Hands on experience on data analysis and basic statistical methods.
• Exceptional communication and collaboration skills, with a focus on delivering results and driving projects to completion.

Nice to Have

• Direct experience in robotics, with a strong grasp of Optimization, MPC, and system dynamics.
• Digital signal processing techniques to analyse real-word sensor data.
• Advanced knowledge of mathematics (optimization, probability, mechanics) and a proven ability to translate complex theories into production-ready algorithms.
• Relevant publications or achievements in hackathons and programming contests.
• A passion for staying at the forefront of the field, actively seeking and implementing state-of-the-art ideas to push our performance beyond the current horizon.

About the Team

Our Simulation Testing team ensures reliability and safety of autonomous driving systems through comprehensive virtual scenario testing. We collaborate closely with the Motion Planning, Prediction, Perception, and Control teams to build effective offline testing environments, reliable testing processes, and datasets. Our main goal is to detect and resolve issues as early and thoroughly as possible, prior to testing in real-world conditions.

About the Role

As a QA Engineer in Simulation Testing, you'll design, execute, and analyze virtual test scenarios, focusing on validation of autonomous driving software. You’ll work closely with development, analytics, and data labeling teams, prepare checklists and test scenarios, gather testing datasets, and deliver clear and actionable testing reports. Your analytical mindset and proactive approach to continuous improvement will be key to your success in this role.

What You'll Do

• Design and implement structured testing plans for new features and bug fixes
• Develop detailed checklists and testing scenarios
• Collect and organize datasets for thorough testing
• Analyze test outcomes and document defects clearly
• Create reports on test findings and safety metrics
• Design metrics for evaluating AV performance and safety
• Collaborate closely with cross-functional teams to improve test coverage and effectiveness

What You'll Need

• 3+ years of experience in software testing
• Strong analytical abilities and structured thinking
• Proactive, inquisitive mindset with a drive for continuous improvement and deeper product understanding
• Excellent ability to plan and prioritize tasks effectively under varying workloads
• Good understanding of traffic rules and driving regulations

Nice to Have

• Experience with autonomous vehicle testing
• Proficiency in at least one programming language (e.g., Python)
• Basic understanding of vehicle dynamics or sensor technology (LiDAR, Radar, Cameras)

About Avride

Avride is a U.S.-based autonomous vehicle startup headquartered in Texas with additional R&D hubs around the world. Our company develops and operates both autonomous cars and delivery robots that share technologies and mutually benefit from each other’s advancements—a unique approach in the industry. Since 2017, Avride has been building expertise in autonomous technologies to create solutions that address current needs and anticipate future demands. Today, we operate a fleet of autonomous vehicles in Dallas, Texas, in partnership with Uber, bringing our technology into real-world deployment.

About the Team

Our Operations Team is the backbone of safe and efficient AV testing. We manage people, vehicles, and daily execution across multiple test routes and conditions. With a strong focus on safety, performance, and collaboration, the team ensures every mile driven moves autonomy forward — reliably and responsibly.

About the Role

The Location Lead oversees daily autonomous-vehicle (AV) safety operations at a given site. While you’ll still take the wheel for critical tests or coverage gaps, your primary focus is workforce planning, shift scheduling, KPI tracking, and cross-team coordination. You will be accountable for hitting production targets, maintaining a strong safety record, and cultivating a high-performance driver culture.

What You'll Do

• Team & Shift Management
  Build weekly driver rosters, balancing skill sets, legal hours-of-service, and vehicle availability.
  Approve timecards, manage PTO, and coordinate backfills for absences.

• Operational KPIs & Continuous Improvement
  Define and track metrics such as disengagements per 100 mi, on-time route completions, and incident response times.
  Run daily stand-ups and post-shift debriefs; publish performance dashboards.

• Safety & Compliance Oversight
  Ensure adherence to all safety protocols, DMV regulations, and company SOPs.
  Lead incident investigations, root-cause analyses, and corrective-action roll-outs.

• Resource & Fleet Coordination
  Align vehicle maintenance, software update windows, and test-route allocations with the central ops team.
  Liaise with engineering, QA, and remote-assist teams to prioritize test objectives.

• Hands-On Driving (as needed)
  Cover critical routes, validate new procedures, or coach drivers during complex scenarios.

• Safety Monitoring and Data Collection:
  Operate autonomous vehicles during testing, ensuring timely interventions when necessary to maintain safety.
  Monitor the technical condition of the vehicle and perform daily inspections and equipment checks.
  Collect and report data related to the autonomous driving system's performance.

• Training and Knowledge Sharing:
  Assist with onboarding and training new drivers as needed.
  Provide feedback to engineers and developers to improve vehicle safety and performance.
  Participate in regular training and performance evaluations to maintain high safety standards.

• Incident Response and Quality Control:
  Support the analysis of any incidents or accidents during testing.
  Ensure compliance with all safety protocols and procedures.
  Participate in discussions to review interventions and improve operational processes.

• Operational Planning:
  Assist in daily task planning and scheduling for testing operations.
  Help manage shifts and ensure the availability of vehicles and drivers for each session.

What You'll Need

• 2+ years in a supervisory or lead role within AV testing, logistics, or fleet operations.
• Demonstrated ability to manage 20–30 personnel across multiple shifts.
• Proficiency with scheduling/dispatch tools and spreadsheet-based KPI tracking.
• Clean driving record and comfort operating diverse vehicle platforms.
• Excellent communication and conflict-resolution skills.
• Valid driver's license with at least 3 years of experience and a clean driving record.

Nice to Have

• Prior experience scaling a new test site or launch program.
• Experience with autonomous vehicles or vehicle testing is a plus.
• Background in defensive driving, motorsports, or related fields.
• Technical knowledge of vehicle systems and safety protocols.

About the Team

Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities.

About the Role

We are seeking a highly skilled C++ Software Engineer to join our core Motion Planning team. You will be at the forefront of developing the decision-making logic that enables our autonomous vehicles to navigate the complexities of the real world safely and efficiently. If you have a passion for solving hard algorithmic problems and writing high-performance code, this is the perfect opportunity for you.

What You'll Do

• Design, implement, and optimize cutting-edge motion planning algorithms in modern C++ (C++17/20)
• Develop robust solutions for trajectory generation, pathfinding, and behavioral decision-making in dynamic environments
• Analyze and debug system performance using simulation, log playback, and on-vehicle testing data
• Collaborate closely with engineers from Perception, Prediction, and Control teams to build a cohesive and reliable self-driving system
• Write clean, maintainable, and optimized production-quality code
• Profile and optimize algorithms to meet real-time performance constraints

What You'll Need

• Exceptional proficiency in modern C++ and a deep understanding of object-oriented design principles
• Strong foundational knowledge of algorithms and data structures, particularly those relevant to robotics (e.g., graph search, computational geometry, optimization techniques)
• Experience with software development tools and practices, including Git, CI/CD, and code reviews

Nice to Have

• Proven success in competitive programming contests such as Google Code Jam, Hash Code, Topcoder Open, ICPC, or similar events
• Professional or academic experience in robotics, specifically with motion planning
• Experience with performance-critical software development, including multi-threading and memory optimization
• Knowledge of machine learning techniques (e.g., reinforcement learning, imitation learning) applied to planning or decision-making problems
• Solid mathematical background, including linear algebra and probability theory
• Knowledge of GPU programming (e.g., CUDA, OpenCL) for accelerating algorithms

About the Team

We develop the core simulation infrastructure that powers testing, validation, and debugging of our autonomous driving system. Our simulations are used daily across the company: by QA engineers verifying component-level quality, by autonomy engineers investigating unexpected behavior, by ML teams validating new model versions, and by safety analysts and data scientists who analyze thousands of simulated scenarios and metrics to assess system readiness. The simulator is modular and supports both full-system and component-level runs. It operates at scale on distributed compute clusters, enabling us to simulate far more situations than we can cover on the road.

About the Role

As a Senior C++ Engineer, you’ll help design and build the foundational infrastructure behind our simulation system. You’ll write high-performance, reliable C++ code that powers critical simulation workflows and collaborate closely with infrastructure and autonomy teams to ensure correctness, reproducibility, and consistency with on-vehicle software. You'll work on challenges such as running multiple versions of autonomy modules within a single simulation to compare behavior across code revisions. You’ll also contribute to tools that analyze simulation behavior and performance, while helping keep the system efficient and cost-effective at scale.

What You'll Do

• Design and implement foundational simulation infrastructure in C++.
• Ensure simulation runs are correct, reproducible, and efficient.
• Collaborate with platform and autonomy teams to ensure integration and consistency with real-world deployments.
• Lead and contribute to design reviews and cross-team technical decisions.
• Build tools for analyzing performance and debugging system behavior.

What You'll Need

• 5+ years of experience building production-level software.
• Strong proficiency in modern C++.
• Experience in benchmarking, profiling, and optimizing complex systems.
• Familiarity with large-scale or distributed compute environments.

Nice to Have

• Experience using Python for tooling and automation.
• Familiarity with Bazel - we use it extensively.
• Background in robotics, simulation, or embedded systems.
• Experience modeling real-world systems (e.g., physics, sensors, agents, environments).

About the Team

Our team is dedicated to advancing the future of autonomous driving technology by developing the metrics and evaluation frameworks that ensure the safety, performance, and readiness of self-driving systems. We work closely with engineering teams to analyze real-world and simulated driving data, enabling data-driven decisions that accelerate the commercialization of autonomous vehicles. Our work directly impacts critical questions such as: ‘How well does the vehicle handle complex intersections? Does it provide a passenger-safe experience during maneuvers? How do we statistically validate readiness for urban deployment?’

About the Role

We are seeking a skilled Data Scientist to join our team and play a pivotal role in defining and evaluating the performance of autonomous vehicle systems. You will design and implement quantitative metrics to assess driving behavior, safety compliance, and passenger comfort. Your work will involve analyzing large datasets, applying statistical methods, and collaborating with cross-functional teams to ensure our self-driving systems meet the highest standards of safety and reliability. This role offers the opportunity to make a significant impact on the future of autonomous driving technology.

What You'll Do

• Analyze data from real-world and simulated autonomous vehicle experiments to evaluate system performance.
• Develop and refine quantitative metrics (both rule-based and ML-driven) to assess driving behavior, safety, and passenger comfort.
• Apply statistical inference and hypothesis testing to validate the sensitivity and reliability of metrics.
• Collaborate with autonomy software, simulation, and safety teams to prioritize improvements based on data-driven insights.
• Build scalable data pipelines to automate metric computation and reporting.
• Review driving logs and participate in test rides to ground analyses in real-world performance.

What You'll Need

• 2+ years of experience in data science, applied statistics, or metrics development.
• Proficiency in Python and SQL for data analysis.
• Strong background in statistical methods (e.g., A/B testing, confidence intervals, regression).
• Experience designing metrics to evaluate complex systems (e.g., robotics, autonomous systems, or large-scale software).
• Ability to communicate technical findings to cross-functional stakeholders.

Nice to Have

• Experience with machine learning (e.g., model evaluation, feature engineering).
• Familiarity with big data tools (Spark, Hadoop, MapReduce).
• Knowledge of traffic regulations or automotive safety standards (e.g., NHTSA).

About the Team

Our team develops the core software and data processing systems that power motion planning and decision-making in autonomous vehicles. We work at the intersection of machine learning, large-scale data infrastructure, and real-time vehicle control, collaborating across engineering, analytics, and product teams to deliver safe and intelligent driving capabilities.

About the Role

We are looking for a creative & driven Machine Learning Engineer to join our autonomous vehicle team. You will be at the center of our efforts to build intelligent systems that can understand, predict, and safely navigate a complex and dynamic world. This role involves designing and training the next generation of deep learning models that form the brain of our vehicle, learning from petabytes of real-world driving data. If you are passionate about applying cutting-edge ML to solve high-stakes robotics challenges, we want to hear from you.

What You'll Do

• Design, train, and deploy state-of-the-art machine learning models for behavioral prediction and motion planning
• Develop robust data pipelines to process, clean, and label massive-scale vehicle sensor and simulation datasets
• Work with deep learning architectures such as transformers to model complex temporal interactions between traffic agents
• Establish and own the metrics for model performance, and create evaluation frameworks that correlate with on-road safety and performance
• Collaborate with software engineers to integrate and optimize trained models for real-time inference on the vehicles embedded hardware
• Stay current with the latest research in machine learning, imitation learning, and reinforcement learning, and apply novel techniques to our systems

What You'll Need

• Strong proficiency in Python and hands-on experience with modern deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX)
• Solid understanding of machine learning fundamentals, including various neural network architectures, training methodologies, and evaluation techniques
• Experience with the full machine learning lifecycle, from data exploration and prototyping to deployment and monitoring
• Proficiency in C++ for writing high-performance model inference code

Nice to Have

• A strong track record in ML competitions (e.g., Kaggle) or contributions to major open-source ML projects
• Experience applying ML to problems in robotics, such as behavioral prediction, motion planning, or computer vision
• Experience with MLOps tools and platforms (e.g., MLflow, Kubeflow, Weights & Biases)
• Experience with large-scale distributed data processing and training frameworks (e.g., Spark, Ray)
• Publications in top-tier ML or robotics conferences (e.g., NeurIPS, ICML, CVPR, ICLR, CoRL, RSS)

About the Team

Avride develops autonomous vehicle and delivery robot technology, leveraging deep expertise in autonomous systems. With the recent launch of our robotaxi service in Dallas, we are accelerating innovation and redefining the future of mobility.

Our team builds self-driving solutions from the ground up, with machine learning at the core of our development pipeline to enable safe and intelligent navigation. We design and deploy state-of-the-art models to address key challenges in autonomous systems, utilizing advanced deep learning architectures such as Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). These models power both onboard and offboard applications, ensuring robust and efficient operation. Your work will directly contribute to enhancing the performance, safety, and reliability of Avride’s autonomous vehicles and delivery robots.

About the Role

We are looking for an experienced Machine Learning Engineer with a strong background in developing and deploying modern machine learning solutions for complex real-world challenges. In this role, you will conduct experiments, manage large-scale datasets, and implement deep learning models tailored for autonomous systems.

You will utilize cloud platforms, orchestration tools, and machine learning frameworks to develop scalable and efficient solutions. Additionally, you will analyze the latest research, assess the applicability of emerging deep learning techniques, and drive innovation in autonomous vehicle technology.

What You'll Do

• Develop and Optimize Machine Learning Models: Design, implement, and refine deep learning models to ensure efficiency, scalability, and robustness. This may include developing models for understanding a self-driving vehicle’s surroundings or predicting the intentions of other road users.
• Curate and Manage Large-Scale Datasets: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation.
• Enhance and Maintain Training Pipelines: Develop efficient workflows for training, validation, and testing, incorporating distributed training, hyperparameter tuning, and automated monitoring.
• Improve Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across various hardware platforms.
• Explore and Apply Cutting-Edge ML Techniques: Stay up to date with advancements in deep learning and experiment with novel approaches to improve model performance.
• Collaborate with Cross-Functional Teams: Work closely with researchers, software engineers, and robotics experts to integrate machine learning solutions into real-world autonomous systems.

What You'll Need

• Strong understanding of fundamental machine learning algorithms and neural network techniques.
• Expertise in at least one modern machine learning domain, such as computer vision, large language models, or generative AI.
• At least three years of experience developing neural network-based algorithms, including data collection, training, and deployment.
• Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX, along with PySpark, NumPy, and SciPy.
• Working knowledge of C++ and SQL.
• Ability to quickly absorb new concepts by reviewing research papers, technical reports, and documentation.
• Strong collaboration and communication skills, with the ability to align technical work with business objectives and drive results.

Nice to Have

• Advanced degree in Computer Science, Machine Learning, Robotics, or a related field.
• Experience developing ML algorithms for autonomous vehicles or robotics applications.
• Familiarity with neural network deployment and optimization tools such as triton, TensorRT, or similar frameworks.
• Proven ability to set and achieve mid- and long-term goals, prioritize tasks, and meet deadlines independently.
• Experience working in cross-functional teams within a multidisciplinary environment.
• Publications in top-tier ML conferences or contributions to patent applications or ML-related open-source projects.