Senior Computer Vision & Robotics Software Engineer

Join Us as a Senior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems!Company Overview:Allen Control Systems (ACS) is an innovative defense startup founded by two experienced former Navy electrical engineers, known for their success in robotics and software development. We are pioneering the creation of a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission is to address complex technical challenges, providing a stimulating and fast-paced environment for seasoned engineers.At ACS, we prioritize engineering excellence and groundbreaking innovation. Our founders' successful ventures, which led to exits totaling $180 million in 2022, reinforce our commitment to developing technologies that make a meaningful impact in the real world.

Join Our Team as a Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems Company Overview: At Allen Control Systems (ACS), we are redefining defense technology as a pioneering startup founded by two former Navy electrical engineers with extensive expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret equipped with cutting-edge computer vision and control systems designed to accurately identify and neutralize small drones and loitering munitions. Our mission involves tackling complex technical challenges, offering a thrilling and dynamic atmosphere for skilled engineers. With a culture that prioritizes engineering excellence and innovation, ACS is driven by the founders' successful exits from two prior ventures, yielding a combined $180M in 2022. We are dedicated to developing transformative technologies that will have a meaningful impact in the real world.

LocationOn-site — Austin, TXEmployment TypeFull-TimeJob TitleComputer Vision Engineer (Junior, Senior, Lead/Principal)Company OverviewJoin 9-mothers, a dynamic and well-funded startup pioneering the development of autonomous machines for defense applications. Our flagship product is engineered to counteract small, agile FPV suicide drones—often seen in contemporary conflicts like the Russia-Ukraine situation. We pride ourselves on creating systems that demand unparalleled perception and decision-making capabilities. If you are passionate about transforming innovative machine learning technologies into operational solutions, this is the ideal environment for you.Though we currently concentrate on defensive systems, there is exciting potential for future expansions into advanced capabilities.Position SummaryWe are on the lookout for a skilled Computer Vision Engineer to become the “vision” of our autonomous c-sUAS platforms. In this role, you will be responsible for architecting, deploying, and refining the perception pipeline, with a focus on achieving low-latency and high-frame-rate processing to accurately track fast-moving targets.Your expertise should encompass building models and systems from the ground up, transcending the use of existing frameworks. This entails developing bespoke models rather than merely implementing tools like YOLO, showcasing a deep understanding of the complexities within the problem space.Essential DutiesDesign and implement a comprehensive embedded computer vision pipeline using high-performance programming languages such as Python and C++.Employ real-time object detection models (e.g., YOLO) and optimized CNNs to deliver top-tier object detection and tracking performance.Enhance code for low-latency, high-frame-rate efficiency on constrained embedded systems, demonstrating practical experience with NVIDIA Jetson platforms and camera pipelines.Utilize geometric vision principles (calibration, rectification, and 3D geometry) to convert 2D camera images into precise 3D coordinates for fire control and guidance systems.Collaborate closely with robotics and AI teams to ensure that perception data is reliable for autonomous decision-making and effective countermeasure guidance.

Join Our Team as a Junior Computer Vision & Machine Learning Engineer for Autonomous Anti-Drone Systems! About Allen Control Systems: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control systems to accurately identify and neutralize small drones and loitering munitions. Our pioneering approach presents exciting technical challenges, making ACS a vibrant workplace for aspiring engineers. With a strong engineering-driven culture, ACS prioritizes technical excellence and creativity. Our founders have successfully exited from two previous ventures, collectively worth $180 million in 2022, and we are dedicated to ensuring that the groundbreaking technologies we create will make a significant real-world impact. Your Role: Develop and optimize computer vision algorithms for our autonomous gun turret, focusing on real-time detection, tracking, and classification of drones. Design and implement machine learning models capable of functioning in resource-constrained environments while ensuring high accuracy and reliability. Collaborate with electrical engineers to seamlessly integrate computer vision systems into the turret's hardware architecture. Conduct rigorous testing and validation of computer vision algorithms across various scenarios to ensure robustness and performance under diverse environmental conditions. Contribute to the enhancement of the prototype turret into a military-grade system and assist in developing variants for different weapon systems and engagement ranges.

Join Our Team as a Staff Engineer in Computer Vision & Machine Learning for Autonomous Anti-Drone Systems Company Overview: Allen Control Systems (ACS) is an innovative defense startup founded by two former Navy electrical engineers renowned for their expertise in robotics and software development. We are at the forefront of creating a compact, autonomous gun turret that utilizes state-of-the-art computer vision and control technologies to accurately target and neutralize small drones and loitering munitions. Our ambitious mission presents numerous technical challenges, providing a thrilling and fast-paced environment for seasoned engineers. ACS fosters an engineering-driven culture that prioritizes technical excellence and innovation. Supported by our founders' successful exits from two previous ventures totaling $180M in 2022, we are dedicated to ensuring that our pioneering technologies will make a significant impact in the real world.

This is where your organization can create a consistent intro to all of your jobs, creating consistency in voice and messaging across all job postsC'est ici que votre organisation peut créer une introduction cohérente à tous vos emplois, en créant une cohérence dans la voix et la messagerie dans tous les postes.What to ExpectJoin Tesla as an Autonomous Systems Engineer specializing in Motion Planning, where your expertise will contribute to the evolution of robotics and self-driving technologies that will shape the future of mobility. Be a part of a dynamic team that operates without boundaries, utilizing one of the largest training clusters globally. Your contributions will directly impact millions of Tesla customers as you see your innovations deployed in real-world applications.What You’ll DoUtilize extensive driving data and interventions to develop a robust and scalable end-to-end self-driving system.Implement state-of-the-art techniques in generative modeling, imitation learning, and reinforcement learning to enhance the planning and reasoning capabilities of our driving models.Explore data generation methodologies and fleet data collection strategies to improve the diversity and quality of training datasets.Collaborate closely with vehicle firmware to deliver high-quality, safety-critical software across Tesla's entire vehicle fleet.What You’ll BringStrong proficiency in Python and familiarity with major deep learning frameworks, alongside a solid understanding of software engineering best practices.Comprehensive knowledge of contemporary deep learning architectures, optimization techniques, and model alignment.Demonstrated experience in deploying production-scale machine learning models for applications in self-driving, robotics, or natural language processing.Proficiency in C++ to facilitate integration with vehicle firmware and transform concepts into market-ready products.Compensation and BenefitsBenefitsAs a full-time employee at Tesla, you will receive competitive compensation along with a comprehensive benefits package designed to support your health, wellness, and financial security.

Special Notice This is a full-time position at webAI in Austin, TX. Employment is not tied to project awards or external funding. Role Overview webAI seeks a Senior Machine Learning Engineer to strengthen its Public Sector work. The focus: building and refining production-ready AI systems designed for secure, distributed environments. This role centers on moving models from prototype to reliable, scalable deployment, supporting government cloud platforms and edge devices, even where connectivity is limited or absent. What You Will Do Design and implement agentic workflows for multi-step reasoning, tool use, and automated decision-making in production systems. Convert research AI models into scalable systems used in real-world applications. Develop adaptive machine learning solutions using LoRA, PEFT, and on-device inference. Work with frameworks like PyTorch, TensorFlow, and Hugging Face Transformers to create, fine-tune, and optimize models. Apply model optimization methods such as quantization, pruning, distillation, and hardware-specific acceleration. Build and manage Retrieval Augmented Generation (RAG) pipelines, including integration with vector databases for contextual retrieval. Collaborate with multi-modal AI systems across computer vision, audio, and natural language processing domains. Improve model performance for distributed and resource-constrained environments, ensuring systems remain dependable under different connectivity scenarios. Requirements Active US Security clearance. At least 4 years of experience in applied AI, machine learning engineering, or production AI systems. Strong proficiency with PyTorch, TensorFlow, or Hugging Face Transformers. Hands-on experience deploying AI models to cloud, edge, and mobile hardware. Expertise in model compression and optimization (quantization, pruning, distillation). Background in building RAG pipelines and integrating vector databases.

About Us:At Terminal Industries, we specialize in developing cutting-edge software solutions that digitize, index, and automate yard operations. Our platform harnesses state-of-the-art AI and machine learning technologies to empower warehouse operators with the insights necessary to enhance the efficiency of their critical assets, including trucks, trailers, chassis, containers, and personnel. By tackling prevalent industry challenges such as compliance issues, manual workflows, asset tracking, hidden costs, and workforce inefficiencies, we aim to establish Terminal as the essential hub for yard management, seamlessly integrating various data sources to support a wide array of vital functions.Overview:Joining our elite vision engineering team means contributing to an innovative engine designed to process the movement of trucks and containers in real-time. As an Edge Vision Systems Engineer, you will play a pivotal role in unlocking the full potential of our technology by creating SaaS applications that leverage our advanced vision engine to revolutionize the logistics sector.In this role, you will be responsible for designing and deploying edge-based computer vision platforms that integrate embedded Linux software, GPU inference hardware, network cameras, and comprehensive connectivity infrastructure. You will oversee the entire development cycle from prototype to production, crafting reliable edge systems on Jetson-class hardware that captures video from network cameras and supports downstream computer vision pipelines.While this position is primarily software-focused, a robust practical understanding of hardware systems and real-world deployment challenges is essential. Your responsibilities will encompass embedded Linux development, device provisioning, networking integration, as well as power and thermal management considerations. Collaboration with engineering and site implementation teams will be key as you work on early prototypes and deployment-ready systems.

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.

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.

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.

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.

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.

About Striveworks Striveworks helps organizations use artificial intelligence to solve real-world problems, especially in national security. Founded by data scientists and engineers, the company focuses on making AI deployment and ongoing optimization simpler and more reliable. Striveworks partners with clients to build systems that adapt, scale, and perform well in unpredictable situations, supporting critical operations and informed decision-making. Role Overview: Senior Machine Learning Engineer The Senior Machine Learning Engineer will take on a key position, contributing to both customer projects and Striveworks’ core product suite. This role involves working with the Chariot AIOps platform to create solutions that bridge data, models, and operational needs. Collaboration is central: expect to work closely with data scientists, software engineers, and DevOps professionals to turn machine learning models into real operational tools. This position is open to candidates in Austin, Texas or those seeking a remote arrangement. A hybrid option is available for those near the Austin office. Main Responsibilities Work with customers, engineers, and stakeholders to define requirements that align with client needs and leverage the AI operations platform. Develop machine learning models and analytics for various types of data, including images, video, text, geospatial, time series, and structured datasets. Automate and manage complex data engineering and analytics workflows. Contribute to the design and implementation of core product features. Participate in mission-critical fieldwork as opportunities arise. Who Thrives Here This role suits engineers with a strong technical background who enjoy building customer-focused solutions and collaborating across disciplines. Effective communication, a focus on delivering repeatable value, and a drive to solve practical challenges are essential. Clearance Requirement An active Secret clearance is required for this position.

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.

Who We AreAt Arrive Logistics, we are a premier transportation and technology firm in North America, dedicated to substantial growth year after year. Our achievements reflect the strength of our exceptional team and the innovative solutions we are developing together. We prioritize delivering a meaningful work experience for our employees and have cultivated an award-winning culture that encourages personal and professional development within a fun, relaxed, and collaborative atmosphere. Now is the perfect time to join us, so read on to discover more and apply today!Who We SeekAs a Senior Machine Learning Operations Engineer at Arrive, you will play a pivotal role as a technical leader, responsible for defining, advancing, and executing our comprehensive machine learning platform strategy. This position involves driving and contributing to the quality and functionality of critical roadmap projects, which may include deploying models at scale and creating ML-powered services aimed at optimizing profitability.

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 Bumble Inc. as a Senior Machine Learning Engineer and contribute to our mission of creating meaningful connections. In this role, you will design, develop, and implement machine learning algorithms that enhance user experience and drive innovation. You will collaborate with cross-functional teams to deliver data-driven solutions and improve our platform's performance.

Senior Mechanical Engineer – Drone Defense Turret SystemsCompany Overview:Allen Control Systems (ACS) is an innovative defense technology startup launched by two former Navy electrical engineers with a distinguished history in robotics and software development. We are pioneering a compact, autonomous gun turret that utilizes cutting-edge computer vision and control systems to accurately identify and neutralize small drones and loitering munitions. Our groundbreaking work involves tackling significant technical challenges, creating an exhilarating and fast-paced environment for skilled engineers.At ACS, we foster an engineering-first culture that prioritizes technical excellence and innovation. Our founders' successful exits from two previous ventures, totaling $180 million in 2022, empower us to ensure that the groundbreaking technologies we create will make a substantial impact in the real world.Position Overview:We are seeking a seasoned Mechanical Engineer with extensive experience in mechanical simulations and electromechanical integration. The ideal candidate will possess a strong background in designing for durability, reliability, and robustness in accordance with MIL-STD-810 standards. You will be instrumental in guaranteeing that our products adhere to rigorous environmental, vibration, and shock requirements while effectively integrating complex electromechanical components into our systems.What You Will Do:Design and develop mechanical systems that comply with MIL-STD-810 specifications, ensuring robustness under various conditions such as vibration, shock, and thermal environments.Conduct mechanical simulations (FEA, modal, vibration, thermal) to evaluate the durability and reliability of designs under operational stress.Collaborate closely with electrical and systems engineers to integrate electromechanical components, guaranteeing seamless interaction between mechanical structures and electrical systems.Lead structural integrity testing and analysis to confirm that designs meet environmental test criteria for military-grade systems.Develop and document mechanical design specifications, including detailed drawings, simulation reports, and testing protocols.Engage in testing and validation activities to ensure that mechanical designs meet the necessary performance and safety standards.Support prototype development and work collaboratively with manufacturing teams to ensure designs are effectively transitioned into production.