Staff UEFI Engineer

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 Skyways as we revolutionize air transportation through cutting-edge autonomous unmanned aerial vehicles (UAVs). With robust support from investors, including a $37M STRATFI contract from the U.S. Air Force, we operate at the forefront of both commercial and defense sectors. Our journey has seen us design, build, and successfully fly aircraft alongside real customers and government partners, and we're now poised to scale our operations toward full production.Situated in Austin, TX, and backed by leading investors including Y Combinator, our team thrives on rapid prototyping and real-world deployment. We actively design, test, and operate our systems in the field, seamlessly integrating our findings into engineering and product strategies. As we expand, we seek innovative builders and leaders eager to take ownership, delve into technical challenges, and contribute to transitioning our aircraft from successful trials to full-scale production.The OpportunityAt Skyways, we're at the cutting edge of autonomous aerial platforms. This isn't merely an engineering position; it’s a pivotal role for a Senior Software Engineer specializing in computer vision and robotics. We’re looking for a talented individual who can significantly impact our technology and drive our growth and revenue.

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.

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.

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.

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 Apptronik as a Senior Staff Electrical Engineer in our Compute division, where you will play a pivotal role in designing and developing advanced electrical systems for robotic applications. Your expertise will contribute to innovative solutions aimed at enhancing our product offerings and pushing the boundaries of technology.

Apptronik seeks a Principal Electrical Engineer in Austin, TX to guide the design and development of compute and sensing systems for robotics and automation. This role takes responsibility for system architecture, emphasizing high performance and reliability across the full product lifecycle. Key Responsibilities Direct the architecture and development of compute and sensing solutions for robotics projects Integrate emerging technologies to achieve strict performance and reliability targets Manage projects from initial concept through implementation Collaborate with cross-functional teams to ensure technical direction matches product goals Mentor junior engineers and encourage their professional development Play a role in strategic decisions that influence the technology roadmap Team and Approach The team at Apptronik values collaboration, technical depth, and a forward-looking approach to robotics and automation. Work centers on advanced compute and sensing, with a focus on building reliable, high-performance products.

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 the innovative team at Allen Control Systems as a CV/ML Platform Engineer, where you will play a crucial role in building and optimizing cutting-edge computer vision and machine learning platforms. You will collaborate with a dynamic group of engineers and data scientists to develop solutions that push the boundaries of technology in our field.

Role overview 9-mothers seeks a Staff Perception Engineer based in Austin. This senior role centers on advancing perception technologies across the company’s products. The team brings together engineers and scientists who turn ambitious concepts into working solutions. What you will do Develop and improve perception systems for both new and existing products Collaborate with engineering and scientific colleagues to address complex technical problems Apply deep expertise to influence product direction and enhance user experience Impact Work in this role directly shapes how users engage with 9-mothers technology and supports the company’s growth. The team values close collaboration and a high standard of technical work.

Role Overview Graphcore is hiring a Staff Engineer to lead validation of AI Compute Blades and Racks in Austin, Texas. This position centers on testing and validation to confirm that hardware performs to specification and meets reliability targets. What You Will Do Oversee and execute validation processes for AI Compute Blades and Rack systems Guide testing to ensure hardware delivers consistent, reliable performance Work closely with teams across engineering, product, and operations to address issues and drive improvements Support projects that advance AI hardware technology Collaboration This role works with cross-functional groups to identify problems, share insights, and help deliver robust AI compute solutions.

About Us:At WebAI, we are pioneering the first distributed AI infrastructure focused on personalized artificial intelligence. In a world increasingly driven by data, we recognize the need for scalable and flexible solutions. Our vision is to create a future where AI is decentralized, enabling real-time data processing at the edge, right where data is generated. We aim to ensure that a company's data and intellectual property remain private while facilitating the deployment of large models directly to consumer hardware without compromising data security.Role Overview:As a Lead Staff R&D AI Engineer, you will spearhead the development of innovative AI systems that merge computer vision, natural language processing, and action learning. Your expertise will be instrumental in designing and implementing Vision-Language-Action (VLA) models, enhancing reinforcement learning applications, and advancing the integration of multimodal AI technologies. This position requires a robust background in both computer vision and large language models, coupled with practical experience in reinforcement learning, to develop intelligent systems capable of understanding, reasoning, and interacting with complex environments. You will lead research projects, mentor technical teams, and transform groundbreaking AI research into real-world applications across varied sectors.

ICON is seeking a highly skilled and innovative Senior Software Engineer II with a passion for solving intricate challenges and a deep appreciation for the iterative development of applications. In this role, you will be instrumental in architecting and developing the computational geometry software platform that powers ICON's advanced construction printing systems. This position is based onsite at our headquarters in Austin, TX.

Teamwork Makes the Stream Work. Join Roku, the Leader in TV Streaming!Roku is the premier TV streaming platform in the U.S., Canada, and Mexico, and we aim to empower every television worldwide. We pioneered the streaming experience and are on a mission to create a seamless TV ecosystem. We connect viewers with their favorite content, assist publishers in reaching vast audiences, and offer advertisers innovative ways to engage consumers.From day one at Roku, you will make a significant impact. As a rapidly growing public company, everyone plays a crucial role. You will have the chance to delight millions of global TV streamers while gaining invaluable experience across multiple disciplines. About Our TeamThe Voice Team at Roku is committed to creating the best voice control system for TV. We empower users to navigate channels, search for their favorite movies and shows, discover new content, and manage their TVs and Smart Home devices through natural voice commands, including hands-free functionality in various languages. Our mission is to enhance the streaming experience by leveraging cutting-edge technology while keeping the customer at the core of our efforts. Role OverviewWe are seeking a highly skilled Senior Computational Linguist who is enthusiastic about utilizing language data and modeling to enhance user engagement with Roku's content and features. In this role, you will analyze global user data and integrate your findings into our products.You will join a dynamic, high-performing team with a proven track record of success. We are looking for someone who can help us sustain our rapid growth while ensuring top-notch quality in our deliverables. Key ResponsibilitiesDevelop models to expand voice support to new features across various languages globally.Collect and analyze spoken and written language data to enhance our models, capturing diverse expressions in both rule-based and machine-learned systems.

Join our team as a passionate Optometrist at National Vision, committed to providing exceptional eye care and customer service. You will play a key role in enhancing the vision health of our patients through comprehensive eye exams, diagnosis, and management of ocular diseases.As an Optometrist, you will work in a collaborative environment, utilizing the latest technology to ensure the highest quality of care. Your expertise will help us deliver tailored eye care solutions while fostering lasting relationships with our patients.

Join our team at bctechpro as a Computer Field Technician, where you'll play a vital role in troubleshooting and repairing computer systems. This entry-level position is perfect for tech enthusiasts eager to kickstart their careers in a supportive and dynamic environment.

About Us Graphcore stands at the forefront of innovation in Artificial Intelligence computing, dedicated to developing advanced hardware, software, and systems infrastructure. Our mission is to facilitate the next wave of AI breakthroughs, propelling the widespread implementation of AI solutions across diverse industries. As a proud member of the SoftBank Group, Graphcore joins an elite consortium of companies that are shaping transformative technologies. Together, we envision a future where Artificial Super Intelligence is accessible and beneficial for all. Our teams are composed of talented individuals from various backgrounds, fostering a rich blend of skills and viewpoints. With a culture that thrives on continuous learning and innovation, we are home to AI research experts, silicon designers, software engineers, and systems architects. Position Overview We are on the lookout for a Staff Systems Engineer to provide expert operational, diagnostic, and engineering support for Graphcore’s Arm-based hardware platforms in both lab and data center settings. This role emphasizes the support of hardware bring-up, validation, and troubleshooting of intricate AI compute platforms, such as server blades, racks, and rack-scale infrastructure. The ideal candidate will work in close collaboration with engineering, platform, and data center teams to guarantee the reliability and performance of our next-generation AI systems. The Team The Systems Engineering and Hardware Engineering teams play a pivotal role in enabling the bring-up, validation, and operational reliability of Graphcore’s AI infrastructure platforms. This collaborative environment promotes rapid problem-solving and continuous enhancement of Graphcore’s hardware platforms from early development stages to production deployment. Key Responsibilities Lead advanced troubleshooting for server blades, motherboards, power systems, and rack-scale infrastructure. Assist in engineering bring-up activities, including component validation and firmware interaction testing. Diagnose system-level failures related to thermal performance, power irregularities, network configurations, and BIOS/BMC issues. Collaborate with server engineering teams to conduct root cause analyses and recommend corrective actions or design improvements. Facilitate the deployment and rollout of next-generation hardware platforms through structured processes.