Embedded Tools Engineer

About the TeamAt Avride, we are pioneering the future of transportation through our groundbreaking autonomous vehicle and delivery robot technology. Following the successful launch of our robotaxi service in Dallas, we are on a mission to accelerate innovation and transform mobility as we know it.Our dedicated team is at the forefront of building self-driving solutions from scratch, with machine learning as the cornerstone of our development process, enabling safe and intelligent navigation. We create and deploy cutting-edge models to tackle the significant challenges in autonomous systems, utilizing advanced deep learning architectures like Convolutional Neural Networks (CNNs), Transformers, and Multimodal Large Language Models (MLLMs). Your contributions will be vital in enhancing the performance, safety, and reliability of Avride's autonomous vehicles and delivery robots.

Company Overview avride builds autonomous vehicles and delivery robots, with machine learning at the core of every product. The team recently launched a robotaxi service in Dallas, and continues to design self-driving solutions from the ground up. Machine learning models, including CNNs, Transformers, and Multimodal Large Language Models, power both on-board and off-board systems, supporting safe, intelligent navigation and efficient operations. Role Overview: Senior / Staff Machine Learning Engineer avride is hiring experienced Machine Learning Engineers at Senior, Staff, and Principal levels in Austin, TX. The team welcomes both strong individual contributors and technical leaders ready to shape the future of autonomous mobility. This role focuses on solving complex challenges in autonomy, from developing deep learning models to managing large-scale datasets and deploying solutions in real-world systems. Senior-level engineers will also help set technical direction, mentor peers, and influence machine learning practices across the company. Main Responsibilities Model Development and Optimization: Design, implement, and improve deep learning models for tasks such as environmental perception and road user behavior prediction. Staff and Principal engineers will set the technical vision for model families and guide architectural choices across teams. Dataset Management: Oversee data collection, preprocessing, and augmentation to maintain high-quality datasets for training and evaluation. Senior engineers will define standards and tools that scale across the organization. Training Pipeline Enhancement: Build efficient workflows for training, validation, and testing. This includes distributed training, hyperparameter tuning, and automated monitoring. Staff and Principal engineers will own the long-term roadmap for training infrastructure. Model Deployment and Efficiency: Optimize inference performance, model compression, and deployment across a range of hardware platforms. Location This position is based in Austin, TX.

Join Avride as a Machine Learning Platform Engineer, where you will be at the forefront of developing cutting-edge machine learning solutions. In this pivotal role, you will collaborate with data scientists and software engineers to build robust ML infrastructure, driving innovation and efficiency.

Join Our Innovative Team The Embedded Software Development Team at Avride is at the forefront of creating and maintaining cutting-edge firmware for electronic control units utilized in autonomous vehicles and delivery robots. We pride ourselves on developing reliable, high-performance real-time systems using state-of-the-art automotive-grade microcontrollers, driving the future of self-driving technology and robotics. Our team is pragmatic, valuing sound engineering principles and collaborative efforts. Your Role As an Embedded Software Engineer, you will be instrumental in all facets of our embedded software development. Your contributions will directly impact the software that drives our autonomous vehicles and robots. You will also engage in designing the software-hardware architecture, ensuring seamless integration of these systems. This is a hands-on position where your technical expertise and creativity will be key to solving complex problems and enhancing our products. If you thrive in a dynamic environment working with cutting-edge technology, this role is tailored for you.

Avride develops autonomous vehicles and delivery robots across the United States, building and operating both autonomous cars and delivery robots with shared core technologies. The company focuses on advancing both fields together through integrated research and engineering. Internship overview The Machine Learning Engineer Internship in Austin, TX offers hands-on work with real driving data and exposure to advanced academic research. Interns join the Perception team, which interprets raw sensor data, including cameras, LiDAR, and microphones, to construct a detailed, real-time 3D view of the environment for autonomous vehicles. Each intern works directly with a senior mentor and contributes to projects that influence the safety and performance of Avride’s systems. The internship bridges theory and practice: interns help turn new concepts and system architectures into working prototypes, then assess their effectiveness in complex, safety-critical scenarios. What you will do Four distinct internships are available within the Perception team for Summer 2026. Projects focus on 3D perception and sensor fusion challenges in autonomous driving. Long-Tail 3D Entity Recognition via Pre-Trained 2D Models Lead efforts to address long-tail entity recognition, a persistent challenge in autonomous driving, by exploring how pre-trained, open-source 2D models can enhance 3D recognition tasks. Design and run simulation-based experiments to test whether models can identify rare or infrequent objects while maintaining precision. Work closely with a mentor to prototype and refine methods for integrating 2D model features into Avride’s perception stack. Present findings, including recall and precision trade-offs, and simulation methodologies, to Avride’s research and engineering teams at the conclusion of the internship. RGB-Only 3D Perception & RGB-LiDAR Fusion Take ownership of a targeted research project aimed at improving 3D perception by reviewing current literature on RGB-only approaches and developing hypotheses to advance sensor fusion techniques.

Avride develops autonomous vehicles and delivery robots, with a large engineering team building and operating these systems worldwide. The company focuses on making roads safer and transportation more accessible by applying new technology to real-world challenges. Role overview The Lead Software Engineer will shape the Pipeline, Avride’s main framework for connecting vehicle and robot components. This position covers both API and UX interface design, ongoing development, and strategic guidance to ensure the Pipeline meets evolving company needs. What you will do Design, build, and iterate on the API and UX interface for the Pipeline framework, supporting seamless interaction between vehicles and robots. Monitor developer productivity and satisfaction by collecting feedback, analyzing pain points, and removing obstacles for teams using the Pipeline. Observe how non-developer users engage with the Pipeline to highlight areas needing improvement. Tackle known issues by producing documentation, tutorials, leading discussions, and refining APIs and internal tools. Direct the ongoing development of the Pipeline engine to fulfill external API commitments. Propose and implement conceptual changes to make the Pipeline simpler and clearer, aiming for compatibility with frameworks such as Spark and Ray. Refactor existing APIs and user code to help control maintenance costs. Location This position is based in Austin, TX.

Join Our Innovative TeamAt Avride, we are at the forefront of the autonomous vehicle and delivery robot revolution, crafting cutting-edge technology from the ground up. With over seven years of expertise in autonomous vehicle development, our Localization team plays a critical role in ensuring precise positioning for our rovers. We achieve centimeter-level accuracy in position and orientation, multiple times per second, across varied conditions. Our team comprises highly skilled professionals with extensive experience in robotics, algorithms, data processing, software architecture, and machine learning, collaborating in a dynamic and supportive environment.Your Role in This Exciting JourneyWe are seeking a talented Software Engineer to join our Localization and Mapping team. In this role, you will design and develop on-board localization and cloud mapping algorithms. Your contributions will enhance the rover's localization capabilities in challenging environments and optimize SLAM-based lidar mapping processes. Join us in making impactful, data-driven advancements at the cutting edge of technology.Key ResponsibilitiesDevelop the core cloud mapping subsystem utilizing graph optimization techniques.Build the Sensor Fusion Localization subsystem, integrating multiple sensor data (LiDAR, IMU, GNSS) for precise rover positioning and orientation.Collaborate with development and operations teams to address localization-related challenges.What We Are Looking ForMinimum 3 years of professional software engineering experience.Proficient in C++ programming.Strong understanding of algorithms, data structures, and software design patterns.Excellent soft skills, including effective communication, collaboration, and a focus on business-driven development.Preferred QualificationsExperience in robotics and familiarity with EKF, localization, calibration, and point cloud processing algorithms.Strong mathematical foundation and analytical problem-solving skills.

Join Our Innovative TeamAt Avride, we are pioneering the development of advanced autonomous driving technologies. Our autonomous vehicles are sophisticated systems that depend on reliable operating frameworks, seamless connectivity, and efficient management solutions. Our team is dedicated to creating and enhancing the operating systems and software that power self-driving cars and delivery robots. We ensure uninterrupted network connectivity, reliable fleet releases with observability, and comprehensive ride-log capture and delivery. By providing the essential infrastructure that supports autonomous mobility, we empower our vehicles to function safely, efficiently, and at scale.Your RoleAs a Software Engineer focusing on logging infrastructure, you will architect and implement software solutions that capture, encode, and transmit extensive vehicle logs with the utmost performance and dependability. You will develop system services to facilitate secure and efficient data transfer from vehicles to the cloud, as well as backend services that manage data delivery and processing workflows. Collaborating closely with our team, you will optimize storage and processing pipelines in the cloud, ensuring that vast amounts of data can be seamlessly moved, stored, and analyzed. Your contributions will enhance our data platform architecture, accelerating development cycles and providing critical insights to propel autonomous driving forward.Key ResponsibilitiesDesign, develop, and maintain logging software for our autonomous driving systems.Create system services for efficient data transmission to the cloud.Develop backend services to control data delivery and processing.Optimize data storage and processing in cloud environments.Participate in the design and implementation of data platform architecture.

Shape the Future of AI in an Unpredictable World At Striveworks, we empower organizations to leverage artificial intelligence to tackle real-world challenges in national security and business sectors. Our mission is to serve as the command center that connects data, models, and business outcomes, making the journey from deployment to ongoing optimization seamless. Founded by a team of dedicated data scientists and engineers, we are committed to creating reliable and scalable AI systems that adapt to the ever-changing landscape. Our clients don’t just implement AI; they develop robust systems that enhance reliability and performance while reducing costs, enabling informed, data-driven decisions in dynamic environments. We understand that mission-critical operations require AI models that not only function effectively where they are deployed but also scale as workloads increase and evolve with advancements in technology. Your Role As a Senior Machine Learning Engineer at Striveworks, you will immediately be an integral part of our team, contributing to customer-driven projects and the development of our core products. You will play a critical role in projects that utilize Chariot, our proprietary AIOps platform, and you will actively shape the future capabilities of this platform. Collaborating with data scientists, software engineers, and DevOps professionals, you will convert machine learning models into operational capabilities that deliver value. If you are passionate about pushing the boundaries of your technical expertise and enjoy applying both software engineering and data science to solve real-world issues, this opportunity is for you. You appreciate the importance of customer-centric solutions, clear communication, and the ability to capture repeatable value in productized capabilities. Your daily responsibilities will include: Collaborating with customers, engineers, and stakeholders to define and clarify requirements that address customer challenges while utilizing our AI operations platform. Developing machine learning models and custom analytics applicable to various data types including image, video, text, geospatial, time series, and structured data. Orchestrating and automating intricate data engineering and analytical pipelines. Envisioning, specifying, and occasionally designing and implementing key product functionalities. Engaging in mission-critical fieldwork opportunities. This position offers the flexibility of a fully remote work environment, or you can opt for a hybrid approach by working on-site at our office in Austin.

Join Our Innovative TeamAt avride, we are at the forefront of revolutionizing transportation through our cutting-edge autonomous vehicle technology. Our dedicated team is responsible for creating the essential software and data processing frameworks that enable motion planning and decision-making in self-driving cars. We thrive at the crossroads of machine learning, extensive data infrastructure, and real-time vehicle control, collaborating closely with engineering, analytics, and product teams to provide safe and intelligent driving solutions.Position OverviewWe are seeking a passionate and innovative Machine Learning Engineer to join our autonomous vehicle division. In this pivotal role, you will contribute to the development of intelligent systems capable of comprehending, predicting, and safely navigating the complexities of the real world. Your responsibilities will encompass designing and training advanced deep learning models that serve as the cognitive core of our vehicles, utilizing vast amounts of real-world driving data. If you have a keen interest in leveraging state-of-the-art ML techniques to tackle high-stakes robotics challenges, we encourage you to apply.Key ResponsibilitiesDevelop, train, and implement advanced machine learning models for behavioral prediction and motion planning.Create efficient data pipelines to process, cleanse, and annotate large-scale vehicle sensor and simulation datasets.Utilize deep learning architectures such as transformers to capture intricate temporal interactions among traffic participants.Define and manage metrics for model performance, establishing evaluation frameworks that align with on-road safety and efficacy.Collaborate with software engineers to integrate and optimize trained models for real-time inference on vehicle hardware.Keep abreast of the latest advancements in machine learning, imitation learning, and reinforcement learning, applying innovative methodologies to our systems.QualificationsExpertise in Python with practical experience in modern deep learning frameworks (e.g., PyTorch, TensorFlow, or JAX).Strong grasp of machine learning principles, including various neural network architectures, training techniques, and evaluation methods.Experience across the complete machine learning lifecycle, from data exploration and model prototyping to deployment and monitoring.Proficient in C++ for developing high-performance inference code for models.Preferred QualificationsDemonstrated success in ML competitions (e.g., Kaggle) or significant contributions to prominent open-source ML projects.Experience applying machine learning to real-world problems in robotics or autonomous systems.

Avride builds autonomous vehicles and delivery robots across the United States, using shared technologies to advance both areas. The company’s approach combines self-driving cars and delivery robots under one roof, aiming to push the boundaries of autonomy. The Research Engineer Intern position is based in Austin, TX. This internship centers on hands-on work with large-scale driving datasets, focusing on the intersection of research and engineering. Interns join the ML Prediction and Planning team, which develops machine learning models that help vehicles interpret their surroundings and make safe, effective decisions. The team’s work includes predicting the behavior of other road users and generating driving paths in complex, dynamic environments. Interns collaborate closely with a senior researcher, tackling challenges that influence real-world driving performance. The role offers exposure to the full process of moving research ideas into working prototypes and testing them in safety-critical systems. Internship Tracks and Focus For Summer 2026, two internship tracks are available within the ML Prediction and Planning team. The responsibilities below describe the Autonomous Vehicles track. Applied Research Project: Lead a research effort to study how different model ensembling strategies affect the gap between open-loop (training) and closed-loop (simulation) results. Tasks include reviewing academic literature, developing hypotheses, and prototyping solutions using Python and machine learning frameworks such as PyTorch. Design Ensembling Strategies: Implement and test various ensembling methods, including blending models trained with different random seeds, combining checkpoints from separate training phases, and applying weighted or learned blending approaches. Run Controlled Experiments: Compare the outcomes of single-model and ensemble methods, examining the impact of seed and checkpoint diversity. Evaluate both open-loop metrics (like training and validation loss, accuracy) and closed-loop metrics (such as simulation performance, safety, and stability). Analyze Metric Alignment: Explore how improvements in open-loop metrics correspond to closed-loop results, and identify scenarios where ensembling enhances performance.

Join Avride, an innovative leader in autonomous mobility, as we develop cutting-edge self-driving vehicles and delivery robots. Our mission is to revolutionize transportation and logistics, with our Labeling Team playing a critical role in realizing this vision.The Labeling Backend Team is responsible for establishing the data infrastructure that drives our research and development efforts in labeling pipelines, data preparation workflows, and model training processes. The high-quality labeled data we produce is essential for advancing our core technologies and supports a variety of models that underpin our business.About the RoleWe are seeking a talented Research Engineer dedicated to enhancing the quality and representativeness of the datasets that fuel our self-driving systems. In this role, you will design algorithms and tools for auto-labeling, data mining, and dataset monitoring, leveraging your strong Python engineering skills alongside applied machine learning concepts. Your contributions will significantly improve data efficiency, reduce labeling costs, and elevate model performance.Key ResponsibilitiesCreate and implement algorithms that optimize annotation processes, including auto-labeling systems that minimize manual effort and maximize throughput.Develop data-mining and active-learning pipelines to identify the most valuable samples for training.Establish dataset-quality monitoring systems that detect noise, redundancy, and low-value data.Construct analytical platforms (databases, dashboards, reporting) to monitor dataset quality and coverage over time.Collaborate closely with ML and Perception teams to integrate research findings into production workflows.Investigate emerging methodologies (vision-language models, weak supervision, uncertainty estimation) to enhance dataset quality and automation.

Join Our Innovative TeamAt avride, we are a dynamic group of frontend engineers dedicated to developing cutting-edge data annotation tools. Our collaborative team works hand-in-hand with backend services and external annotation providers to facilitate seamless workflows for both 2D and 3D labeling. We thrive in an environment that encourages creativity and teamwork, pushing the limits of performance, usability, and innovation in data-centric applications.Your Role AwaitsWe are on the lookout for a talented Senior Frontend Engineer to craft and enhance our advanced data annotation tools, which include capabilities for 2D and 3D instance and segmentation annotation. You will play a pivotal role in integrating these tools with external annotation platforms, building a seamless data labeling pipeline essential for our machine learning and AI projects.Key ResponsibilitiesDesign and Develop Annotation ToolsCreate interactive, high-performance 2D and 3D data labeling applications utilizing modern frontend technologies.Collaborate closely with product and data teams to ensure our tools evolve with annotation requirements.Integrate with External PlatformsEngage with third-party annotation services to ensure efficient data flows and user-friendly interfaces.Implement APIs and interfaces that connect our internal tools with external systems seamlessly.Enhance User ExperienceDesign intuitive and robust UI/UX for our data labeling workflows.Optimize application performance to handle complex 3D scenes and large datasets effectively.

Join avride as a Site Infrastructure Engineer, specializing in Networking and Compute. In this dynamic role, you will be responsible for designing, implementing, and maintaining robust infrastructure solutions that support our growing operations. You will collaborate with cross-functional teams to ensure seamless connectivity and performance across our platforms.

Join Bumble Inc. as a Lead Machine Learning Engineer and drive innovation in our cutting-edge technology team. In this pivotal role, you will lead the design and implementation of machine learning algorithms, enhancing user experiences across our platforms. Collaborate with cross-functional teams to translate complex data into actionable insights, while mentoring junior engineers to foster growth and excellence within the team.

Join Apptronik as a Reinforcement Learning Engineer and contribute to cutting-edge projects that push the boundaries of artificial intelligence. In this role, you will develop algorithms and systems that enhance the capabilities of robotic systems through reinforcement learning techniques.

Join our innovative team at Allen Control Systems as a Machine Learning Data Engineer. In this pivotal role, you will leverage your expertise in machine learning, data processing, and engineering to design and implement data pipelines and algorithms that enhance our data-driven initiatives. You will collaborate closely with data scientists and software engineers to deliver cutting-edge solutions that drive business insights and efficiencies.

At Bumble, we strive to foster a world where every relationship is both healthy and equitable. As an integral member of our AI & Matching team, you will be at the forefront of revolutionizing how millions of individuals connect, cultivate friendships, and discover meaningful relationships. Reporting directly to our SVP of AI & Data, your contributions will be pivotal in enhancing intelligent systems that provide safe, personalized, and engaging user experiences across all our platforms. In this influential individual contributor role, your work will tangibly influence product strategies, user trust, and large-scale business outcomes. You will operate with a profound sense of ownership and curiosity, advocating for innovative machine learning methodologies while exemplifying Bumble's core values of Curiosity and Excellence. From reimagining recommendation systems to integrating responsible AI standards, your efforts will help us push boundaries while remaining respectful of our global community. AI is central to our product evolution and internal capabilities. In this position, you will not only develop and scale advanced machine learning models, but also influence how AI is thoughtfully and responsibly implemented throughout the organization.

Join Our Innovative Team At Avride, we are pioneering advancements in the autonomous vehicle and delivery robot sectors. Our mission is to reshape the future of mobility with cutting-edge technology that enhances safety and efficiency. With a core team boasting vast expertise in autonomous systems, our engineering teams are dedicated to developing the software, infrastructure, and algorithms that drive our self-driving technology, encompassing everything from perception and localization to planning, control, and simulation. Your Role as Principal Safety Lead We are in search of a dynamic and experienced Principal Safety Lead to spearhead our safety initiatives for our autonomous vehicle platform. In this pivotal leadership position, you will be responsible for crafting, implementing, and supervising the safety strategy that guarantees our vehicles safely and reliably navigate the complexities of real-world environments. This is an exceptional opportunity to cultivate a world-class safety culture and team that will significantly influence the trajectory of autonomous technology. Key Responsibilities Formulate, own, and implement a comprehensive safety strategy for Avride's autonomous vehicles. Lead and mentor a team of safety engineers, promoting a strong safety culture throughout the organization. Oversee all safety-related processes, including hazard analysis (HARA), Failure Modes and Effects Analysis (FMEA), Fault Tree Analysis (FTA), and the development of the overall Safety Case. Ensure compliance with critical safety standards such as ISO 26262 and ISO 21448/SOTIF. Define and manage safety requirements throughout the product lifecycle, from initiation to deployment. Establish, monitor, and report on key Safety Performance Indicators (SPIs) to enhance system safety continuously. Collaborate closely with engineering teams (Planning, Perception, Control, and Hardware) to embed safety into the design from inception. Oversee all safety verification and validation (V&V) activities, including simulations and real-world testing. Lead the investigation and analysis of safety-critical incidents. Act as the primary liaison for regulatory bodies, certification agencies, and external safety auditors.