Senior Software Engineer - Time Synchronization & Embedded Networking

Mission Overview: Join us as a Senior Software Engineer, where you will be integral in crafting and deploying automated workflows, advanced tooling, and insightful analytics to enhance our autonomy stack's scalability. You will be essential in transforming vast datasets into actionable engineering insights, ensuring our software releases are robust, validated, and road-ready. Your Responsibilities: Create Intelligent Tooling: Design and implement advanced automation to analyze and clarify complex system behaviors, utilizing sophisticated data modeling to expedite solutions. Lead Analytics Development: Spearhead the creation of impactful performance visualization tools that convert raw metrics into clear, actionable insights regarding on-road performance. Enhance Release Engineering: Use your expertise to refine our release processes, moving towards a highly automated deployment framework that preserves quality while boosting efficiency. Advance Simulation Capabilities: Elevate our virtual testing environments, ensuring our simulation suites deliver high-fidelity feedback for comprehensive release understanding. Collaborate Across Teams: Engage within a large, multi-disciplinary codebase to guarantee seamless integration across planning, motion, and controls teams. Qualifications We're Seeking: Significant experience in developing production-grade applications, tools, and pipelines using Python. Proficient in navigating and contributing to large, complex codebases with an emphasis on modularity and documentation. Demonstrated success in delivering software in a production environment, with knowledge of CI/CD, version control at scale, and stringent release cycles. A keen curiosity for data and the ability to derive meaningful patterns from complex, high-dimensional datasets. A strong passion for a driverless future and an understanding of the critical nature of deploying software that interacts with the physical world. Bonus Skills (not mandatory): Experience with C++ in a Linux environment. Familiarity with Machine Learning frameworks or Large Language Model (LLM) integration. Background in robotics middleware (ROS, DDS) or autonomous systems.

Company: Latitude AI Locations: Pittsburgh, PA; Palo Alto, CA; Detroit, MI About Latitude AI Latitude AI (lat.ai) develops automated driving technologies, including Level 3 autonomy, for Ford vehicles at scale. As a subsidiary of Ford Motor Company, Latitude operates with the independence and speed of a startup, while benefiting from the resources of a major automaker. Headquarters are in Pittsburgh, with engineering centers in Dearborn, MI, and Palo Alto, CA. What We Do The team brings together specialists in machine learning, robotics, cloud computing, mapping, sensor integration, and systems engineering. Together, we aim to make travel safer, more enjoyable, and less stressful for millions of drivers. About the Systems Engineering Team Systems engineers at Latitude AI integrate all parts of the autonomy stack into a unified product. The team works closely with cross-functional partners to define architecture, requirements, and test plans for a range of features and functionalities, including: Advanced Driver-Assistance Systems (ADAS) across multiple autonomy levels (L1, L2, L3), such as Blind Spot Detection, Rear Cross Traffic Alert, Base Park Aid, Lane Keeping & Change Assist, Adaptive Cruise Control (ACC), L2 Hands-On and Hands-Free, and L3 Eyes-Free features. Onboard (vehicle) and offboard (cloud) autonomy functions, including Mapping, Prediction, and Motion Planning. Platform capabilities for both onboard and offboard systems, like Logging, Time Synchronization, Data Ingestion, and Over-the-Air Software Updates. What You Will Do Lead and manage systems engineering processes for multiple ADAS features and ensure their integration with Ford platforms. Draft requirements to support strong performance across features and functionalities, considering both standard operations and variations in vehicle or environmental conditions.

About UsAurora Innovation is dedicated to revolutionizing transportation through the safe and swift integration of self-driving technology.Discover The Aurora Driver and join us in shaping a future of mobility and logistics that is safer, more efficient, and more accessible for everyone. At Aurora, you will engage with complex challenges alongside a team of passionate and intelligent professionals, enhancing your expertise while expanding your skill set. Stay updated with our latest developments at aurora.tech or connect with us on LinkedIn. We are actively searching for a highly skilled Staff Software Engineer to enhance our core Autonomy Framework. Join our dedicated autonomy frameworks team responsible for the robotics middleware that fuels the Aurora Driver. In this pivotal role, you will focus on initiatives that optimize the performance, determinism, and efficiency of our Autonomy and Simulation applications. This is a unique opportunity to work on a fundamental aspect of our self-driving technology, directly influencing the safety and reliability of our autonomous vehicles.

Join latitude as a Senior Software Engineer specializing in Machine Learning Integration. In this pivotal role, you will leverage your extensive software engineering skills to drive the integration of machine learning solutions into our cutting-edge software stack. Collaborate with cross-functional teams to innovate and enhance our product offerings while ensuring optimal performance and scalability.

About Us:At Glydways, we are redefining the concept of public transportation. We believe that mobility opens doors to opportunities—connecting individuals to housing, education, jobs, commerce, and healthcare. By enhancing transportation accessibility, affordability, and sustainability, we empower communities to flourish and unlock economic and social growth.Our mission is to transform transit through a solution that provides high capacity, outstanding user experiences, unmatched affordability, and minimal environmental footprint.The Glydways system is an innovative network of carbon-neutral, interconnected transit pathways driven by standardized autonomous vehicles on dedicated roadways. Available 24/7 with on-demand access, it offers personalized and efficient travel without the burden of heavy upfront infrastructure costs or ongoing taxpayer subsidies.With Glydways, we are not just developing a transportation system; we are crafting a future where everyone has the freedom to move freely and easily.Join Our Team:The Onboard Integration team is responsible for creating the software foundation that powers every Glydways vehicle. We operate within the Embedded Platform & Integration group and collaborate closely with Vehicle Hardware, Autonomy, Safety, and Track Operations to ensure seamless integration of components into a unified system on the road.Our work includes streaming data from new sensors, controlling vehicle actuators, developing our custom embedded Linux OS, integrating machine learning frameworks, and creating tools for live track operations. We are the glue that keeps vehicles and teams moving forward. We prioritize engineers who thrive in ambiguity, can extract meaningful insights from complex systems, and deliver results efficiently.

About UsAurora Innovation is dedicated to harnessing the transformative power of self-driving technology to create a safer, faster, and more inclusive future for mobility and logistics.Discover The Aurora Driver and be part of a groundbreaking journey that redefines transportation.Join us at Aurora, where you will engage in solving complex challenges alongside a team of bright and passionate professionals, while advancing your expertise in the field. Stay updated with our latest developments by visiting aurora.tech or follow us on LinkedIn.We are seeking a skilled Systems and Safety Engineer to contribute significantly to the evaluation and enhancement of our autonomous vehicle (AV) sensing capabilities. In this impactful role, you will have the chance to define and validate the sensing functionalities of the Aurora Driver, ensuring they exceed human performance standards while maintaining the highest safety levels. Collaborate with our exceptional engineering teams to achieve ambitious product objectives as we navigate the complexities of scaling across various platforms, environments, and technical challenges.

About UsAt Aurora Innovation, we are dedicated to revolutionizing transportation through safe and efficient self-driving technology.The Aurora Driver is set to transform mobility and logistics, ushering in a future that is not only safer but also more accessible for everyone. Join us at Aurora, where you'll collaborate with a team of passionate and intelligent professionals to solve complex challenges, enhancing your expertise while expanding your knowledge. For more updates, visit aurora.tech or follow us on LinkedIn. We are on the lookout for a Software Engineer to become a vital part of our Vehicle Platform Integrations Team! Key Responsibilities:Collaborate with the vehicle integration team to design and implement infrastructure for integrating embedded software with a cutting-edge C++ autonomy stack.Engage with autonomy planning, control software, and vehicle platform commands and monitoring systems.Develop fault monitoring mechanisms for vehicle platforms.Create software that directly influences the operational behavior of autonomous vehicles, including modes of operation, fault management, and health monitoring.Work with software/hardware interfaces, including embedded system simulation, hardware-in-the-loop testing, and vehicle system level evaluations.Construct tools for automating testing and analysis of control subsystems to ensure compliance with safety-critical coverage standards.Perform development in both Linux-based and embedded environments.

Join the innovative team at latitude as a Senior Integration & Test Engineer specializing in Quality & Track Operations. In this pivotal role, you will lead the integration and testing processes to ensure the highest quality of our products. Collaborate with cross-functional teams to develop and implement testing strategies, troubleshoot issues, and enhance operational efficiency.

Latitude AI (lat.ai) specializes in the development of advanced automated driving technologies, including Level 3 (L3) solutions, for Ford vehicles at scale. Our mission revolves around redefining the driving experience, making it safer, more enjoyable, and less stressful for everyone. Joining the Latitude team means collaborating with top-tier experts in machine learning, robotics, cloud platforms, mapping, sensor technology, and systems engineering, all committed to significantly enhancing the driving experience for millions. As a proud subsidiary of Ford Motor Company, we operate with the agility of a startup while developing cutting-edge automated driving technologies. Our headquarters are located in Pittsburgh, with engineering centers in Dearborn, MI, and Palo Alto, CA.About the Software Factory Team:The Software Factory team is pivotal in creating a seamless developer build experience, essential for developing, testing, and deploying software that aligns with Latitude’s mission. Team members are responsible for the development and maintenance of an end-to-end infrastructure pipeline within a distributed build environment, playing a crucial role in integrating new tools and technologies into a robust, deterministic, and scalable build ecosystem. We utilize and maintain build tooling (Bazel), author build and test tools (Starlark, Python), manage build environments (Docker, containers), and leverage a distributed remote execution and caching system (Buildfarm), while hosting CI/CD resources for developers to test and implement changes (Jenkins).Your Responsibilities: Collaborate with seasoned build engineers boasting decades of experience.Design and implement solutions for the long-term maintenance of software releases.Develop integrations with product teams that enhance the reusability and testability of modular autonomy systems.Measure, inspect, and improve the utilization of the build infrastructure.

Join our dynamic team at Latitude as a Senior Software Engineer specializing in C++ deployment. In this role, you will be instrumental in designing, developing, and implementing high-performance software solutions that enhance our deployment processes. We are looking for a passionate engineer who thrives in a collaborative environment and is eager to solve complex problems.

Role Overview Latitude is looking for a Senior Software Engineer focused on Test Infrastructure. This role centers on strengthening testing frameworks to help deliver reliable software. The position is available in Pittsburgh, PA, Palo Alto, CA, or Detroit, MI. What You Will Do Work closely with teams across engineering, product, and QA to support development efforts. Design, build, and maintain test infrastructure that supports software quality. Help improve and extend frameworks used for automated and manual testing.

About UsAt Aurora, we are committed to advancing self-driving technology, making it safer, quicker, and more accessible for all.Explore the Aurora Driver and help us usher in a revolutionary era in mobility and logistics that prioritizes safety and efficiency.Joining Aurora means engaging with complex challenges alongside a team of passionate and intelligent individuals, fostering your growth as an expert in your field. Stay updated with the latest from Aurora by visiting aurora.tech or following us on LinkedIn.We seek a Control Systems Software Engineer to join our dedicated Autonomy Controls Software Team. This team is pivotal in designing, implementing, integrating, and verifying the motion control system for the Aurora Driver across various vehicle platforms.Your Responsibilities:Develop and optimize motion control algorithms for safety-critical systems.Assess control system performance in both offline simulations and real-world scenarios.Ensure system robustness against disturbances, failure modes, and varying environmental conditions.

Motional, based in Pittsburgh, develops autonomous vehicles with a strong focus on safety, reliability, and accessibility. Supported by Hyundai Motor Group, Motional is committed to advancing physical AI and shaping the future of transportation. The company’s mission centers on making streets safer and encouraging sustainable mobility. The Systems Readiness and Performance team connects software development with real-world deployment. This group handles system design, verifies and validates the autonomy stack, and sets as well as measures performance benchmarks. Team members work closely with autonomy, infrastructure, and operations partners to build the safety case for launching fully driverless IONIQ 5 robotaxis in Las Vegas. Role overview The Senior Engineer, Machine Learning Systems for Autonomy, joins the Autonomy Subsystems team to design and evaluate software modules that power autonomous vehicles. The role centers on assessing machine learning subsystems using offline model evaluations, open and closed-loop re-simulations, and on-road performance analysis. Defining and validating metrics that reflect subsystem performance is a key part of the job, along with sharing insights to help machine learning developers improve the models used in vehicles. What you will do Design and evaluate machine learning software modules for autonomous vehicles Conduct offline assessments of models and analyze results from re-simulations Evaluate the on-road performance of machine learning models Define and validate metrics to measure autonomy subsystem performance Collaborate with machine learning developers to support improvements in deployed models Requirements Experience as a systems engineer, with a background in safety-critical systems and machine learning model evaluation Interest in autonomy, robotics, and machine learning Prepared to help build production-ready systems for robotaxi deployment

Agility Robotics stands at the forefront of robotics innovation. Our flagship robot, Digit, is the first of its kind to be implemented in workplaces worldwide. Our team is distinguished by its expertise in designing, engineering, and delivering robots that possess advanced mobility, dexterity, intelligence, and efficiency—specifically tailored to collaborate with humans in environments made for people. Every day, we tackle engineering challenges and develop groundbreaking solutions that will ultimately make robots an integral part of daily life. This mission fuels our passion: enhancing business productivity and enriching the lives of individuals.About the PositionWe are seeking a Senior Software Engineer to become an integral part of our Skills team, focusing on the integration of perception models into practical robotic applications. In this role, you will spearhead perception integration initiatives aimed at constructing robust, structured representations of the world that can be effectively utilized within robotic workflows. You will take charge of the performance of the perception stack on the robot, engaging with actual hardware and validating your solutions in production scenarios. Collaboration with AIML teams will be essential as you integrate both proprietary and third-party methods to fulfill customer and task-specific requirements. This opportunity is perfect for someone who enjoys hands-on work with real systems, excels at solving end-to-end integration challenges, and is dedicated to ensuring reliable perception performance in production environments.Key ResponsibilitiesDevelop robust perception algorithms and applications that utilize existing models to enhance reliability and simplify estimation in robotic tasks (e.g., stacks, pallets, conveyors, flow racks).Define and maintain reusable APIs to facilitate interactions between the task planner and skills layer with a library of perception capabilities.Integrate perception functionalities with other robotic skills, including manipulation behaviors, using state machines, behavior trees, and task planners.Manage datasets and conduct experiments to validate perception skills under various task conditions and scenarios.

Role overview This Senior Software Engineer position at Aurora Innovation centers on sensor infrastructure for autonomous vehicles. Based in Pittsburgh, Pennsylvania, the role involves building and refining software that supports the sensor systems critical to self-driving technology. What you will do Design and implement software solutions to strengthen the sensor infrastructure Collaborate with engineers to develop new algorithms and enhance existing ones Optimize system performance for a range of sensor technologies Help improve the reliability and effectiveness of sensors used in autonomous vehicles Collaboration Work closely with a team of experienced engineers. Share knowledge, solve technical problems together, and contribute to advancing Aurora's sensor capabilities.

Join our dynamic team at latitude as a Senior Software Engineer specializing in Machine Learning Platforms. We are looking for a highly skilled and passionate engineer who is eager to innovate and contribute to cutting-edge projects that drive our machine learning initiatives. In this role, you will collaborate with cross-functional teams to develop robust and scalable ML solutions that impact our business and enhance user experiences.As a Senior Software Engineer, you will leverage your expertise in software development and machine learning algorithms to build, optimize, and maintain ML models. You will also play a crucial role in mentoring junior engineers and fostering a culture of continuous learning and improvement within the team.

Join us at latitude as a Senior Software Engineer - Motion Planning where you will be at the forefront of developing advanced motion planning algorithms. This role is crucial in enhancing our autonomous systems and requires a blend of creativity and technical expertise. You will collaborate with a talented team to innovate and create solutions that shape the future of mobility.

Join our innovative team at Motional as a Senior Software Engineer specializing in Autonomous Vehicle Performance Metrics. In this role, you will be instrumental in enhancing the performance and functionality of our cutting-edge autonomous vehicles. You will work closely with a multidisciplinary team of experts to develop algorithms, analyze data, and contribute to the evolution of autonomous driving technologies.

About UsAurora Innovation is at the forefront of revolutionizing transportation through advanced self-driving technology. Our mission is to ensure the safe, swift, and widespread adoption of this groundbreaking technology.Explore The Aurora Driver and witness the dawn of a new era in mobility and logistics, aimed at fostering a safer, more efficient, and accessible future for all. At Aurora, you'll engage with complex challenges alongside a team of passionate and skilled professionals, enhancing your expertise while broadening your knowledge base. For the latest updates, visit aurora.tech or follow us on LinkedIn. Aurora is dedicated to hiring exceptional individuals from diverse backgrounds who are eager to contribute to creating a transportation ecosystem that enhances road safety, ensures timely delivery of essential goods, and makes mobility more efficient and accessible for everyone. The journey to building our state-of-the-art self-driving truck Driver software necessitates a significant and ongoing computational effort. Daily, Aurora's engineers initiate and manage millions of compute tasks, systematically processing and analyzing vast amounts of critical data. This immense computational workload encompasses various vital domains, including raw and derived data processing pipelines, large-scale simulations for software testing and validation across countless scenarios, and intensive machine learning training jobs that underpin our autonomous system's intelligence.Central to orchestrating this monumental compute infrastructure is the Compute team. This team is committed to developing and maintaining the foundational technology that addresses key challenges in resource scheduling, task isolation, and distributed state consistency across our expansive batch compute fleet. Given our scale, traditional off-the-shelf orchestrators are inadequate. The Compute team engineers a custom solution - BatchAPI - that manages the lifecycle of millions of tasks, built upon K8s primitives with our proprietary scheduler.We are tackling the 'unsolved' challenges of distributed computing...

Join us in shaping the future through innovative solutions.Woolpert is a globally recognized leader in architecture, engineering, and geospatial services, celebrated for our blend of design excellence and advanced technology. Our dedicated team is passionate about driving progress and fostering the next generation of industry leaders. As a certified Great Place to Work® , we are committed to innovation and creating boundless opportunities for professional development.Position OverviewWoolpert is seeking a Senior Software Engineer to become a part of our dynamic Atlas Labs team, focusing on our Geospatial sector. This role reports to the Director of Product and AI. Atlas Labs is responsible for advancing technology within Woolpert’s Geospatial sector, encompassing AI model development, research and development, software infrastructure, and user-facing products.Note: We are unable to provide visa sponsorship for this position. Applicants must have existing work authorization in the United States.What You Will Do:Engage in the planning, research, design, architecture, development, and testing of software features for Atlas Labs. Daily coding is essential, primarily in Python, with potential use of C++ or JavaScript.Collaborate within a cross-functional Scrum team alongside experts in AI/ML, Geospatial Data, Software Engineering, and GIS.Work closely with both internal and external users to ensure the accuracy, quality, and availability of Atlas Labs software products.What You Will Bring:Substantial experience with commercial software products.Proficient in writing production-level code in Python, ideally with large datasets.Proven experience or academic background in key areas such as:Geospatial Data ProcessingComputer VisionAI & Machine LearningLiDARRobotics/Self-Driving/AutonomyFamiliarity with relevant technologies including:Linux, Docker, and GitHubAI/ML frameworks (TensorFlow, PyTorch)Cloud platforms (Azure, AWS, Google)Nice to Have:Experience with GIS applications such as ESRI, QGIS.