Senior Guidance, Navigation, and Control Modeling Engineer

Reliable Robotics develops automated aviation systems to improve safety and accessibility in air transportation. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology and make air travel more dependable. Role overview The Senior Guidance, Navigation, and Control (GNC) Modeling Eng…

At Reliable Robotics, we are pioneering innovative technologies aimed at enhancing safety in aviation, with the ultimate goal of saving lives. Our automated aviation systems are set to revolutionize air transportation, making it safer and more convenient for the movement of goods and people across the globe. Our dedicated team comprises mission-driven engineers with extensive experience in aerospace, robotics, and autonomous vehicles, all working collaboratively to turn this vision into reality.As a Flight Guidance Engineer, you will join our esteemed Guidance, Navigation, and Control team, playing an integral role in the design, implementation, and testing of our advanced guidance systems. Your contributions will facilitate the seamless integration of uncrewed aircraft into the National Airspace System.

At Reliable Robotics, we are pioneering innovative technology to enhance safety in aviation, fundamentally transforming air transportation and saving lives. Our automated systems will revolutionize how goods and, eventually, people traverse the globe. Join a team of passionate engineers with expertise across aerospace, robotics, and autonomous vehicles as we make this vision a reality.As a Senior Flight Guidance Engineer, you will be an integral member of our Guidance, Navigation, and Control team. Your contributions will focus on the design, implementation, and testing of our advanced guidance systems, facilitating the seamless integration of uncrewed aircraft into the National Airspace System.

Join Waymo as a Senior Software Engineer specializing in Inertial Navigation. In this role, you will play a crucial part in developing cutting-edge navigational algorithms that will enhance our autonomous vehicle systems. Your expertise will help us push the boundaries of technology and redefine transportation.

About Logos Space Logos Space is building a proliferated Low Earth Orbit (pLEO) satellite constellation to deliver reliable, high-performance connectivity for enterprise and government clients worldwide. The Navigation team designs and develops the software and infrastructure that underpin spacecraft timing, astrodynamics, orbit determination, and navigation workflows for both flight and ground systems. Role Overview The Astrodynamics Navigation Engineer will help establish the framework for state estimation, trajectory propagation, maneuver planning, and operational decisions that support navigation across Logos Space's flight and ground operations. This work is central to the successful operation of the pLEO satellite constellation. What You Will Do Design, implement, and validate core astrodynamics software for flight and ground systems Develop shared tools and infrastructure that support analytics, validation, and operational workflows Contribute to or own components such as time systems, reference frames, force modeling, numerical propagation, event detection, maneuver modeling, ephemeris generation, and validation infrastructure, depending on experience Work with cross-functional teams to turn incomplete specifications into reliable software solutions Who Thrives Here Engineers comfortable with ambiguity and iterative problem-solving Collaborators who communicate well across disciplines Location This role is based in Mountain View or San Diego.

At Reliable Robotics, we are pioneering advanced safety technologies for aviation, with the mission of saving lives. Our automated aviation systems aim to revolutionize air transportation, making it safer and more accessible for the movement of goods and eventually people worldwide. Our team consists of dedicated engineers with extensive experience in aerospace, robotics, and autonomous vehicles, all working together to bring this vision to life.As a Flight Navigation Engineer, you will play a pivotal role in our Guidance, Navigation, and Control Team. Your contributions will shape the design, implementation, and testing of navigation systems, facilitating the integration of uncrewed aircraft into the National Airspace System.

Waymo is a pioneering force in autonomous driving technology, dedicated to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo focuses on developing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility access and significantly reduce traffic-related fatalities. The Waymo Driver powers our fully autonomous ride-hailing service and is adaptable across various vehicle platforms and applications. With over ten million rider-only trips completed and extensive experience from driving more than 100 million miles on public roads, complemented by simulations totaling tens of billions of miles across over 15 U.S. states, we are at the forefront of our industry.The Large Model Evaluation team plays a crucial role in advancing Waymo's AI ambition. As we leverage advancements in Large Language Models (LLMs) and Vision-Language Models (VLMs), our goal is to create cutting-edge AI systems that navigate the complexities of real-world driving scenarios. Our progress hinges on our ability to measure performance effectively. With robust evaluation being essential for deploying large models, the challenges we face are particularly intricate and safety-critical. We are seeking engineers with a quantitative mindset to explore and establish innovative methods for assessing the machine learning models utilized in the Waymo Driver.

About Logos Space Logos Space is building a proliferated Low Earth Orbit (pLEO) constellation to deliver high-performance connectivity for enterprise and government clients worldwide. The Navigation team designs and builds the software and infrastructure that support spacecraft timing, astrodynamics, orbit determination, and other navigation functions used in both flight and ground systems. Role Overview This GNSS Navigation Engineer - Orbit Determination Specialist position focuses on developing GNSS software that converts raw data into accurate navigation products for use in both onboard and ground-based systems. The work includes designing, implementing, and validating key GNSS measurement-processing features essential for the operation of the LEO constellation. Responsibilities cover building core GNSS software for onboard data ingestion, ground-based orbit determination, and supporting analysis and validation tools. Depending on experience, the role may involve leading or contributing to specific areas of the GNSS stack, such as observation modeling, correction ingestion, quality screening, residual analysis, replay, and estimator integration diagnostics. The team values engineers who are comfortable in a fast-moving setting, can turn ambiguous requirements into working software, and enjoy collaborating across disciplines. Main Responsibilities Develop and maintain proprietary C++ libraries for GNSS measurement processing, estimator integration, and navigation workflows. Create Python tools or bindings for analysis, testing, automation, and rapid debugging. Implement and validate observation models and preprocessing for code, carrier phase, Doppler, and timing or clock-related measurements. Develop interfaces for receiver telemetry and external navigation products, including broadcast and precise ephemerides, clocks, biases, atmospheric data, and correction information. Perform data quality screening, timestamp validation, cycle-slip detection, outlier rejection, residual analysis, and diagnostics. Contribute to EKF-based orbit determination and state-estimation pipelines by providing estimator-ready measurements, measurement models, noise models, and health metrics. Analyze innovations, residuals, covariance behavior, and consistency metrics. Location Mountain View or San Diego

About Logos Space Logos Space builds a proliferated Low Earth Orbit (pLEO) satellite constellation to deliver resilient, high-performance communications for enterprise and government customers worldwide. The Navigation team develops the software and infrastructure that enable precise spacecraft timing, astrodynamics, orbit determination, and navigation workflows supporting both flight and ground operations. Role Overview The Navigation Engineer for State Estimation and Orbit Determination will design, implement, and validate software that determines the position and trajectory of satellites in the constellation. This work is central to maintaining reliable constellation operations. The role covers both onboard real-time estimation and ground-based orbit determination, as well as supporting tools for analysis and validation. Depending on experience, responsibilities may include ownership of specific segments of the estimation stack or contributing to broader development efforts. Areas of focus include process and measurement modeling, filter design, validation, covariance analysis, estimator integrity, statistical validation, replay, and regression infrastructure. This position is based in Mountain View or San Diego. What You Will Do Develop and maintain proprietary C++ libraries for state estimation, orbit determination, and navigation workflows. Create Python tools or bindings to support analysis, testing, automation, and efficient debugging. Implement and validate models for processes and measurements, filtering and smoothing algorithms, covariance propagation, initialization, gating, and related numerical utilities. Integrate data from GNSS, timing sources, maneuvers, telemetry, and external tracking inputs. Build simulation, replay, Monte Carlo, and regression tools to evaluate estimator performance and detect numerical or integration regressions. Assess estimator behavior for consistency, convergence, observability, initialization, and performance under off-nominal scenarios. Work closely with engineers across flight software, GNSS, astrodynamics, timing, and mission operations to define and implement system interfaces.

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.

Waymo is at the forefront of autonomous driving technology, striving to become the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo is dedicated to advancing the Waymo Driver—The World's Most Experienced Driver™—to enhance mobility and save lives that are often lost to traffic accidents. The Waymo Driver not only powers our fully autonomous ride-hail service but is also adaptable across various vehicle platforms and use cases. With over ten million rider-only trips completed, our technology has driven autonomously for more than 100 million miles on public roads, supported by tens of billions of miles in simulation across 15+ U.S. states.Our Compute Team plays a pivotal role in delivering the compute platform that runs the software stack of fully autonomous vehicles. We specialize in designing high-performance custom silicon, developing cutting-edge system-level compute architectures that maximize performance, power efficiency, and minimize latency. Our multidisciplinary team thrives on collaboration, working closely with various engineering teams to ensure both hardware and software are optimized for peak performance. We are looking for passionate and talented individuals to join us in developing one of the highest-performing automotive compute platforms in the world.In this hybrid role, you will report to a Hardware Engineering Manager.

At Waymo, we are pioneering the future of mobility with our autonomous driving technology, striving to be the most trusted driver globally. Originally launched as the Google Self-Driving Car Project in 2009, we have dedicated our efforts to developing the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent countless traffic-related fatalities. Our technology has successfully completed over ten million rider-only trips, leveraging the experience gained from autonomously navigating more than 100 million miles on public roads across 15+ U.S. states.Our Hardware Engineering team is a dynamic collective of electrical, mechanical, reliability, software, and vehicle engineers. We are committed to designing, constructing, and refining the components that serve as the eyes and ears of our autonomous driving technology, integrating these innovations into various vehicle platforms. We are in search of inquisitive and skilled individuals to help us drive innovation forward.This position operates under a hybrid work arrangement and reports directly to the Technical Lead & Manager of Motion Control.

Waymo is a pioneering company in autonomous driving technology, dedicated to becoming the world’s most trusted driver. Originating from the Google Self-Driving Car Project in 2009, Waymo has established the Waymo Driver—The World’s Most Experienced Driver™—with a mission to enhance mobility access and save lives lost in traffic accidents. The Waymo Driver powers our fully autonomous ride-hailing service and can be integrated across various vehicle platforms and applications. Having completed over ten million rider-only trips, our technology has driven more than 100 million miles on public roads and tens of billions in simulations across over 15 U.S. states.The Perception team is responsible for developing systems that learn the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles (AVs). We collaborate closely with downstream teams to optimize and integrate our work into the Waymo Driver, conduct research to solve real-world challenges, and work alongside research teams at Alphabet. With access to millions of miles of diverse driving data from various sensors, we empower engineers like you to (1) create methods for efficient continuous learning from extensive real-world data, (2) develop scalable models and training methodologies, (3) analyze real-world behaviors to create systems that can navigate complexities, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Waymo is at the forefront of autonomous driving technology, committed to becoming the world's most trusted driver. Originating from the Google Self-Driving Car Project in 2009, we have dedicated ourselves to developing the Waymo Driver—The World’s Most Experienced Driver™. Our mission is to enhance mobility access while significantly reducing traffic-related fatalities. With over ten million rider-only trips powered by the Waymo Driver, we have accumulated extensive experience, having driven more than 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.The Waymo AI Foundations team is dedicated to creating machine learning solutions that tackle complex challenges in autonomous driving. Our goal is to ensure the safe operation of Waymo vehicles in various cities and under diverse driving conditions. We actively collaborate with other research teams within Alphabet, focusing on areas such as reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.This position follows a hybrid work schedule and reports directly to a Staff Research Scientist / Tech Lead Manager.

Reliable Robotics builds automated aviation systems aimed at making air transportation safer and more efficient. The team includes engineers from aerospace, robotics, and autonomous vehicle backgrounds, all working to advance aviation technology. Role overview The Senior Model-Based Systems Architect will design and develop the company’s internal digital engineering ecosystem. This role involves more than configuring existing tools: the architect will define the formal information schema that connects systems, software, and certification data throughout the organization. What you will do Design and implement a digital engineering framework to support automated aviation systems Create and maintain a unified information schema linking systems, software, and certification data Collaborate with engineering teams and internal tool developers to ensure integration and smooth data flow Establish a scalable, consistent single source of truth for engineering information Location This position is based in Mountain View, CA.

At Reliable Robotics, we are pioneering innovative technology for the aviation industry that prioritizes safety and has the potential to save lives. Our automated aviation systems are designed to create a future where air travel is not only safer but also more efficient and fundamentally transformative for the movement of goods and eventually people across the globe. Our dedicated team consists of mission-driven engineers with diverse backgrounds in aerospace, robotics, and autonomous vehicles, all focused on bringing this vision to life.As a Flight Control Law Engineer, you will be integral to our Guidance, Navigation, and Control (GNC) Team. You will be responsible for the design, implementation, integration, and testing of flight control laws for various operational phases, including autotaxi, auto-takeoff, autoland, and automatic rollout. You will work with real-world hardware and C/C++ flight software as part of our ongoing flight test initiatives and will conduct simulation analyses and data reduction in our Python and C/C++ modeling and simulation environments.

Waymo is at the forefront of autonomous driving technology, dedicated to becoming the world's most trusted driver. Established in 2009 as the Google Self-Driving Car Project, Waymo has developed the Waymo Driver—The World’s Most Experienced Driver™—aimed at enhancing mobility access and saving countless lives from traffic-related accidents. Our technology empowers a fully autonomous ride-hail service and is adaptable across various vehicle platforms and product applications. With over ten million rider-only trips facilitated by the Waymo Driver and more than 100 million miles driven autonomously on public roads, we are paving the way for safer transportation.The Perception team is responsible for developing systems that interpret the spatial-temporal representations and semantic meanings of the environment surrounding our autonomous vehicles. Our collaborative efforts with downstream teams focus on optimizing and integrating these systems within the Waymo Driver. We engage in innovative research to tackle real-world challenges and work closely with research teams at Alphabet. Our engineers have access to extensive driving data from diverse sensors, allowing us to (1) create efficient learning methods from vast real-world datasets, (2) build and train models at scale, (3) analyze real-world behaviors, and (4) optimize models for both onboard and offboard hardware.In this hybrid role, you will report to a Technical Lead Manager.

Waymo, an innovator in autonomous driving technology, is dedicated to becoming the world's most reliable driver. Originating as the Google Self-Driving Car Project in 2009, our focus has been on creating the Waymo Driver—The World’s Most Experienced Driver™—to enhance mobility access and prevent traffic-related fatalities. The Waymo Driver supports our fully autonomous ride-hail service and can be integrated into various vehicle platforms for diverse applications. With over ten million rides provided and experience from driving more than 100 million miles on public roads combined with billions of miles in simulation across 15+ U.S. states, we’re at the forefront of a transportation revolution.The Perception team is responsible for developing systems that learn spatial-temporal representations and their semantic meanings within the autonomous vehicle's environment. Collaborating closely with other teams for optimization and integration into the Waymo Driver, we engage in research to tackle practical challenges and work with Alphabet's research teams. With access to millions of miles of diverse driving data, our engineers can (1) create methods for efficient and continuous learning from large-scale real-world data, (2) build and train models at scale, (3) analyze real-world behavior to manage complex interactions, and (4) optimize models for our onboard and offboard hardware.In this hybrid role, you will report directly to a Technical Lead Manager.

Role Overview Anduril Industries is hiring a Staff System Modeling Engineer for Warfighter Systems in Mountain View, California. This role centers on applying advanced modeling methods to improve military systems and support mission success. Work here shapes the effectiveness of defense solutions and has a direct impact on operational outcomes.

Reliable Robotics builds automated aviation systems aimed at making air travel safer and more efficient. The team includes engineers with backgrounds in aerospace, robotics, and autonomous vehicles, all focused on improving reliability for transporting goods and people by air. Role overview The Senior Flight Control Law Engineer will be part of the Guidance, Navigation, and Control (GNC) Team. This role centers on designing, implementing, integrating, and testing flight control laws that cover every phase of automated flight, including autotaxi, auto-takeoff, autoland, and automatic rollout. What you will do Design and implement flight control laws for automated aircraft operations Integrate and test these control laws throughout all phases of flight Work directly with real hardware and C/C++ flight software during flight tests Perform simulation analysis and data reduction using Python and C/C++ within modeling and simulation environments Location This position is based in Mountain View, CA.