Senior Staff Software Engineer, Agentic AI Systems

About UsAt Gatik, we are pioneering the future of autonomous middle-mile logistics. Our innovative approach to B2B supply chain management leverages autonomous transportation-as-a-service (ATaaS), ensuring safe and reliable deliveries while optimizing freight movement and alleviating congestion. We have made history by launching the world’s first fully drive…

Who We AreGatik is at the forefront of autonomous middle-mile logistics, transforming the B2B supply chain with our cutting-edge autonomous transportation-as-a-service (ATaaS) solution. Our mission is to ensure safe and consistent deliveries while optimizing freight movement and minimizing congestion. We focus on short-haul logistics, partnering with Fortune 500 retailers. In 2021, we proudly launched the world’s first fully driverless commercial transportation service in collaboration with Walmart. Our Class 3-7 autonomous trucks are now operational in key markets such as Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.Our proprietary Level 4 autonomous technology, Gatik Carrier™, is designed to transport freight with safety and efficiency between pick-up and drop-off points in the middle mile. With exceptional performance in both highway and urban settings, Gatik Carrier™ is an integrated solution that combines advanced software and hardware, seamlessly incorporating into our customers' logistics operations.About the RoleWe are excited to welcome a Senior/Staff Software Engineer to our Localization team, tasked with creating state-of-the-art sensor fusion solutions that integrate data from various sensors and localization algorithms that operate in real time with maps. We seek exceptional talent who shares our enthusiasm and wishes to contribute to a dynamic, execution-focused team. In this role, you will be pivotal in developing robust, real-time localization solutions, utilizing real-time sensor data to attain high precision in diverse and challenging environments.This position requires onsite presence five days a week at our Mountain View, CA office!

Who We Are Nuro is on a mission to enhance everyday life through robotics. Since our founding in 2016, we have dedicated ourselves to pioneering autonomous driving technology and bringing it into commercial use. Our flagship Nuro Driver™ represents a cutting-edge autonomous driving system that integrates advanced hardware with a sophisticated AI-driven self-driving software. Designed to adapt and optimize based on real-world data, the Nuro Driver™ is among the few driverless technologies currently operating on public roads. Having secured over $2 billion in funding from prominent investors such as Fidelity, Bailie Gifford, T. Rowe Price, and Google, Nuro collaborates with some of the world's leading brands, including Uber, FedEx, Domino’s, Walmart, Kroger, and 7-Eleven. About the Role We are expanding our robotics team and seeking a talented Software Engineer to join our Localization and Mapping division. In this role, you will tackle complex challenges related to the design and implementation of mapping systems for our current and future robotic solutions. We are looking for an engineer who possesses a strong background in developing resilient mapping systems that operate effectively in unpredictable environments, and who is eager to contribute to the evolution of robotic navigation in logistics and transportation. About the Work Research, develop, and implement cutting-edge mapping and state estimation algorithms. Evaluate and characterize the accuracy and performance of these algorithms while creating map solutions that utilize diverse data sources. Develop well-tested C++ software and conduct deployment and testing on our robotic platforms and in simulations. Collaborate within a small, focused team to deliver high-quality mapping and localization solutions that empower the next generation of mobile robots. Engage with stakeholders across autonomy, infrastructure, and systems teams to address map needs and specifications. About You At least 2 years of industry experience as a software engineer. Proficient in C/C++ programming, with a focus on developing reliable, safety-critical software. Hands-on experience in creating mapping and/or localization algorithms for autonomous vehicles, drones, or similar technologies. Thorough understanding of state estimation, probabilistic filtering, and 3D geometry. Experience working with various sensors, such as lidar and cameras. Bonus Points PhD or Master’s Degree in computer science, robotics, or a related field.

About CyngnLocated in Mountain View, CA, Cyngn is a pioneering publicly traded company focused on autonomous technology. We specialize in deploying self-driving industrial vehicles, such as forklifts and tuggers, across factories, warehouses, and facilities throughout North America. To advance this innovative sector, we seek driven, creative, and experienced professionals to join our mission. If you thrive in a collaborative environment where you can build, innovate, and explore alongside a passionate team, Cyngn is the perfect place for you.Dynamic Work Environment.With a tight-knit team of under 100 employees, Cyngn operates with the excitement of a startup while being publicly traded. This unique blend offers our team members both close collaboration with leadership and the benefits of publicly traded equity liquidity.From Concept to Reality.Our autonomous vehicles are not just concepts; they are actively deployed for real clients today, ensuring that your contributions will have a significant and visible impact.A Human-Centric Team.We pride ourselves on being a diverse and welcoming team of intelligent individuals who value collaboration and trust. At Cyngn, every team member's perspective is valued, driving our innovative spirit.Role Overview: As a Senior Software Engineer on our Calibration, Localization, & Mapping (CLAM) team, you will be instrumental in delivering vital enhancements and new functionalities to our calibration, localization, and mapping systems. You will work within a focused, agile team to develop production-grade software that facilitates the efficient and accurate generation of HD maps at Cyngn deployment sites, as well as reliable localization for our autonomous vehicle fleets. Collaborative efforts with cross-functional teams, including vehicle infrastructure, hardware, QA, and other autonomy divisions (such as Perception, Decision, Planning, and Control), will be essential to ensure seamless integration, thorough testing, and ultimately safe and efficient operations for the next generation of Cyngn's autonomous vehicles.

About NuroNuro is at the forefront of self-driving technology, dedicated to making autonomy available to everyone. Established in 2016, we are creating the most scalable autonomous driving solution by merging state-of-the-art AI with robust automotive hardware. Our flagship technology, the Nuro Driver™, is licensed for various applications, including robotaxis, commercial fleets, and privately owned vehicles. Proven through years of autonomous deployments, Nuro offers automakers and mobility platforms a clear pathway to commercial-scale AVs, fostering a safer, richer, and more interconnected future.Role OverviewAs a Senior Software Engineer on the Autonomy Visualization team, your primary focus will be on crafting top-tier visualization platforms that empower software engineers to introduce new visualization components efficiently. You will have the chance to engage in end-to-end development of visualization features and products, showcasing your technical prowess, product insight, and collaborative communication abilities.Key ResponsibilitiesDevelop efficient visualization frameworks using C++/OpenGL and Unity for critical functions including autonomy development, validation, triage tools, and in-car visualization.Collaborate with Autonomy engineers to enhance their development workflows through improved visualization techniques.Work alongside ML Labeling teams to create tailored labeling tools that gather high-quality training data.Partner with product managers and designers to deliver refined visualizations for external applications that accurately represent Nuro.

Who We AreNuro is at the forefront of self-driving technology, dedicated to making autonomy accessible and efficient. Established in 2016, we are pioneering the development of the world’s most scalable driver, seamlessly integrating advanced AI with automotive-grade hardware. Our flagship innovation, the Nuro Driver™, is licensed to facilitate a variety of applications, including robotaxis, commercial fleets, and personal vehicles. With years of proven success in autonomous deployments, Nuro provides automakers and mobility platforms a clear pathway to commercial-scale AVs, fostering a safer, more connected future.About the RoleAs a pivotal member of the Autonomy Visualization team, your primary focus will be on creating high-performance visualization platforms. These platforms empower software engineers to incorporate new visualization elements effortlessly. You will have the chance to work across the entire lifecycle of visualization features and products, honing your technical expertise, product insight, and cross-functional collaboration skills.Your ResponsibilitiesDevelop efficient visualization frameworks using C++ / OpenGL and Unity to support critical functions such as autonomy development, validation, triage tools, and in-car visualization.Collaborate closely with Autonomy engineers to enhance their workflows through improved visualization tools.Work with ML Labeling teams to create high-quality training data utilizing customized labeling tools.Engage with product managers and designers to deliver polished visualizations for external applications that reflect Nuro’s brand positively.

Job Title: Senior Staff Software Engineer - Enzyme Location: Mountain View, California At Databricks, we are driven by a passion for empowering data teams to tackle some of the world’s most intricate challenges—from revolutionizing transportation to accelerating medical advancements. We achieve this by developing and managing the leading data and AI infrastructure platform, enabling our customers to harness deep data insights to elevate their businesses. The Lakeflow Engineering team at Databricks oversees our comprehensive ETL product line, including innovative solutions like Materialized Views, Structured Streaming, and Delta Live Tables. We operate one of the largest data engineering platforms globally, processing exabytes of data daily for our extensive client base. We are in search of a committed technical leader to guide the Materialized Views engineering team. This team is tasked with creating next-generation Materialized View features that enhance both ETL workloads and query acceleration. In this role, you will engage in various areas to design and implement advanced systems that surpass current state-of-the-art: Incrementally maintaining materialized views Optimizing query performance Managing resources efficiently Developing effective storage structures Automating physical data optimization Your Impact: Address significant business needs at a large scale through your software engineering expertise. Deliver a robust, scalable, and fault-tolerant architecture for Materialized Views. Conduct low-level systems debugging, performance measurement, and optimization on large production clusters. Shape architecture design, influence product roadmaps, and assume ownership of new projects. Introduce tools that enhance automation and operational efficiency of services. Utilize your extensive experience to help preempt and resolve production issues. Plan and lead complex technical projects collaborating with multiple teams across the organization.

About Us Nuro is at the forefront of self-driving technology, striving to make autonomous driving accessible to everyone. Established in 2016, we are dedicated to developing the world’s most scalable driver by merging advanced artificial intelligence with automotive-grade hardware. Our flagship technology, the Nuro Driver™, is licensed across various applications, including robotaxis, commercial fleets, and personal vehicles. With proven technology from years of successful self-driving deployments, we provide automakers and mobility platforms with a clear pathway to commercial-scale autonomous vehicles, paving the way for a safer, more connected future. Role Overview At Nuro, we prioritize a machine-learning-centric approach to autonomous driving. The performance of our systems relies significantly on the volume and diversity of training and evaluation data. Our team is vital in enhancing autonomous driving systems by ensuring high-quality labeled data accessibility. This is achieved through a sophisticated labeling stack that includes a workflow execution framework, supporting infrastructure, and an array of data annotation tools. Our autonomy stack is powered by an industry-leading sensor suite, capable of efficiently processing and annotating millions of sensor data points weekly. The platform team's mission is to ensure that labeled data is readily available for all users. Our systems must be dependable and scalable, encompassing everything from request submissions to progress tracking, data dumping, and model development. We work closely with autonomy engineers to guarantee the labeled data's quality and comprehensiveness. As Nuro expands its services, it becomes increasingly critical to capture and promptly triage all issues. Key Responsibilities Develop and maintain highly available and fault-tolerant systems for data annotation. Productionize core infrastructure for our cutting-edge autonomy system. Enhance label quality through data-driven metrics and monitoring. Leverage state-of-the-art ML research to automate and optimize the data labeling lifecycle. Qualifications Bachelor's or Master's degree in a relevant field with 5+ years of industry experience. Proven experience in designing, building, and operating highly scalable and reliable distributed data systems. Demonstrated ability to lead cross-functional projects with strong communication skills. Expertise in data processing and machine learning techniques.

Coupang is a major force in South Korean e-commerce, focused on making daily life easier for millions of customers. The company combines the energy of a startup with the reach and stability of a global public business, supporting rapid innovation and new service launches. Team members value initiative, growth, and the opportunity to make a real impact. About the Role The Senior Staff Software Engineer - Security will play a central role in strengthening the security and reliability of Coupang’s core platforms. This position is based in Mountain View or Seattle. The work centers on technical leadership, architecture, and hands-on software development. The goal: build secure, dependable, and scalable systems that support Coupang’s growth and protect customer trust. What You Will Do Lead security architecture and design for backend systems Drive technical decisions that improve platform security, quality, and reliability Mentor and guide fellow engineers on security best practices Collaborate closely with product teams on high-impact projects Contribute directly to codebases, setting high standards for secure development What We’re Looking For Extensive experience in software engineering with a focus on security Strong background in building and scaling secure backend systems Proven ability to provide technical leadership and architectural direction Experience mentoring engineers and collaborating across teams Join Coupang to help shape the future of commerce and make a lasting difference in a high-tech, connected world.

Join Databricks as a Senior Staff Software Engineer focusing on Lakeflow Pipelines Datasets. In this pivotal role, you will be at the forefront of developing scalable data processing solutions that empower organizations to harness the full potential of their data. Your expertise will directly contribute to the enhancement of our Lakeflow platform, ensuring seamless data integration and processing workflows.As part of a dynamic team, you will collaborate closely with product managers, data scientists, and other engineers to design and implement robust pipelines that can efficiently handle large datasets. This role offers the opportunity to influence architectural decisions and drive best practices in data engineering.

At Databricks, we are committed to empowering data teams to tackle some of the world's most significant challenges—ranging from revolutionizing transportation to accelerating medical breakthroughs. Our mission is realized through the development and management of the foremost data and AI infrastructure platform, enabling our clients to derive deep insights from their data to enhance business outcomes. Founded by engineers and driven by a passion for customer success, we eagerly embrace each opportunity to confront technical hurdles, from innovating next-generation UI/UX for data interaction to scaling our services across millions of virtual machines. Our journey has just begun.As a Senior Staff Software Engineer, you will be a pivotal member of the executive leadership team within the Data Platform organization. You will utilize cutting-edge AI developer tools and methodologies to construct the Data Intelligence Platform, which will facilitate automated decision-making across Databricks. This role involves collaboration with distinguished Tech Leads, product teams, data scientists, and others. You will shape the future of various tools, including logging, orchestration, data transformation, metric stores, governance platforms, and data consumption layers.

Join LinkedIn as a Senior Staff Software Engineer specializing in High-Performance Computing (HPC) Network Engineering. In this pivotal role, you'll design and implement cutting-edge network solutions that enhance our HPC capabilities and drive innovation across our products. Collaborate with a dynamic team of engineers and contribute to the optimization of our network infrastructure to ensure exceptional performance and reliability.

Waymo is a leader in autonomous driving technology dedicated to becoming the most trusted driver in the world. Originating from the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—an exceptional driver that enhances mobility access while significantly reducing traffic-related fatalities. The Waymo Driver not only supports our fully autonomous ride-hailing service but can also be adapted to various vehicle platforms and applications. With over ten million rider-only trips completed, our technology has safely navigated more than 100 million miles on public roads and processed tens of billions of miles in simulation across over 15 U.S. states.The Perception Data team at Waymo plays a critical role in shaping the strategy and technical direction for all data utilized in training and evaluating the Waymo Driver's perception capabilities. We manage the complete data lifecycle, developing automated systems and 'infrastructure-as-product' solutions that convert vast amounts of driving sensor data into high-quality training datasets. Our team tackles complex challenges, including active learning loops and open-vocabulary modeling, bridging raw data with advanced machine learning techniques.By integrating data ingestion, curation, and evaluation into a unified ecosystem, we facilitate the swift development of foundational models and next-generation perception systems. We work closely with Machine Learning, Infrastructure, and Evaluation teams to address intricate data challenges, ensuring our models can effectively interpret the long-tail of rare events. Ultimately, our contributions lay the groundwork for the Waymo Driver to operate safely in diverse environments.

P-1126 Summary At Databricks, we are committed to empowering data teams to tackle some of the most complex challenges facing the world, from security threat detection to the development of innovative cancer treatments. We achieve this by developing and managing a state-of-the-art data and AI infrastructure platform, allowing our clients to concentrate on the high-impact issues that are critical to their goals. Our engineering teams craft advanced technical products that address significant and real-world needs. We consistently push the limits of data and AI technology while ensuring the resilience, security, and scalability that are essential for our customers' success on our platform. Clients entrust Databricks with their most sensitive data, and our Trust & Safety team is dedicated to creating the most secure data analytics and machine learning platform globally. The Security Engineering division plays a vital role in safeguarding customer data from malicious actors, and we are seeking visionary senior leaders to shape and define our strategy in this domain.

Waymo is at the forefront of autonomous driving technology with a vision to become the world's most reliable driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to developing the Waymo Driver—The World's Most Experienced Driver™—which aims to enhance mobility access while significantly reducing traffic-related fatalities. The Waymo Driver is the backbone of our fully autonomous ride-hail service and is adaptable across various vehicle platforms and applications. To date, the Waymo Driver has successfully conducted over ten million rider-only trips, leveraging its experience from over 100 million miles driven on public roads and billions of miles in simulation across more than 15 U.S. states.We are in search of passionate and skilled engineers to join our team and spearhead the post-training process for large language models (LLMs) in the realm of autonomous driving. You will collaborate with an exceptional team of researchers and engineers to innovate and elevate the next generation of advanced AI models.

Join Waymo as a Senior Staff Software Engineer specializing in TLM (Traffic Light Management). In this crucial role, you will lead the design and development of innovative software solutions that enhance our autonomous vehicle systems. Your expertise will contribute significantly to improving traffic management systems and ensuring seamless operations for our fleet.

Waymo is seeking a Staff Software Engineer focused on DevAI to help advance artificial intelligence for autonomous vehicles. This position is based in Mountain View, CA. Role overview This role centers on designing and building AI solutions that support Waymo's self-driving technology. Collaboration with teams across engineering, product, and research will be a core part of daily work. The goal is to strengthen AI capabilities and improve system performance. What you will do Design and develop AI-driven features for autonomous vehicle systems Work closely with colleagues from different disciplines to integrate and refine AI models Contribute to the ongoing improvement of system performance and reliability Impact This position plays a key part in shaping how AI supports the future of transportation at Waymo.

At Databricks, we are dedicated to empowering data teams to tackle some of the most challenging issues in the world—whether it's realizing the next breakthrough in transportation or accelerating medical innovations. Our mission is to build and operate the leading data and AI infrastructure platform, allowing our clients to harness deep data insights for business enhancement.Our engineering teams create impactful technical products that address significant global needs. We consistently push the limits of data and AI technology while ensuring the security and scalability crucial for our customers' success on our platform.We manage one of the largest software platforms globally, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we monitor cloud hardware, network, and operating system faults, ensuring our software effectively shields our customers from these challenges.As a member of the Observability team, you will be at the forefront of developing solutions that deliver critical insights into the health and performance of our products and infrastructure.

P-188 At Databricks, we are on a mission to fundamentally transform the data lifecycle, simplifying processes from data ingestion to ETL, Business Intelligence (BI), and extending to Machine Learning (ML) and Artificial Intelligence (AI) through a unified platform. We envision a future where traditional data warehouse architectures are replaced by innovative solutions like the Lakehouse architecture (CIDR 2021 paper), which integrate data warehousing and advanced analytics, effectively addressing critical challenges such as data staleness, reliability, cost of ownership, data lock-in, and limited use-case support. To turn this vision into reality, we are developing a next-generation decoupled query engine and structured storage system designed to surpass specialized data warehouses in relational query performance while maintaining the versatility of general-purpose systems like Apache Spark™. This system is intended to support a wide array of workloads, from ETL processes to data science applications. As a member of our team, you will engage in one or more of the following areas, contributing to the design and implementation of cutting-edge systems that redefine industry standards: Query compilation and optimization Distributed query execution and scheduling Vectorized execution engine Data security measures Resource management strategies Transaction coordination processes Efficient storage structures (encodings, indexes) Automatic physical data optimization techniques