Vehicle Dynamics Simulation Engineer

Join Zoox as a Vehicle Dynamics Simulation Engineer, where you will play a crucial role in advancing the future of autonomous mobility. You will be responsible for developing and executing simulation models that accurately represent the vehicle dynamics and behavior in diverse driving scenarios. This position offers the opportunity to collaborate with a team of innovative engineers dedicated to revolutionizing transportation.

Join the dynamic 3D Simulation team at Zoox, where we blend advanced Machine Learning and cutting-edge 3D graphics to create realistic simulations of sensors such as cameras, lidar, and radar. In this pivotal role, you will utilize world-class sensor data and a robust testing infrastructure to develop and refine algorithms that enhance the accuracy of sensor simulations. Collaborate closely with teams across Sensor Simulation, Perception, and Verification & Validation to continuously elevate the fidelity of our synthetic data, which is crucial for training and testing autonomous vehicle AI, as well as for real-time simulations involving hardware-in-the-loop.

Join Zoox’s dynamic System Design and Mission Assurance (SDMA) team, where we are committed to constructing a robust Safety Case and validating the safety of our autonomous driving vehicles. Our mission is to empower rapid iterations and expand capabilities through innovative, reliable, and pragmatic safety engineering. As a Platform Systems Simulation Test Engineer, you will collaborate with a multidisciplinary team to develop and rigorously test systems that support our groundbreaking robotaxi, ensuring the safety and performance of our advanced closed-loop drive system.In this role, you will leverage your strong technical expertise to build comprehensive simulation test suites, automate data post-processing, maintain high-fidelity simulation environments, and strategically define the ideal balance between vehicle testing and simulation efforts.

Join the innovative 3D Simulation team at Zoox, where we are at the forefront of merging cutting-edge machine learning with advanced 3D vision technology. We are seeking passionate machine learning engineers to help enhance the realism in simulations and promote diversity within virtual environments. You will leverage unparalleled access to world-class sensor data and a robust infrastructure designed for rigorous testing and validation of your algorithms. Our ML team is dedicated to generating intricate and diverse 3D environments, including lifelike representations of humans and varying environmental conditions. Your contributions will be instrumental in shaping the future of automated driving technology.

Join Zoox as a Machine Learning Engineer specializing in Simulation Scenario Generation. In this role, you will be at the forefront of developing advanced algorithms and machine learning models that drive our autonomous vehicle technology. Your expertise will help create realistic simulations for testing and refining our systems, ensuring safety and efficiency on the road.

Are you passionate about leveraging machine learning to solve intricate challenges in the realm of autonomous vehicle testing? Join our Simulation Scenario Generation team at Zoox, where we are seeking a skilled Machine Learning Engineer to drive the development of innovative, scalable workflows for creating autonomous vehicle scenarios. Your work will encompass the generation of extensive traffic simulations and the enhancement of our intelligent AI systems to facilitate the creation of synthetic scenarios derived from natural language test specifications. This role presents a unique opportunity to make a significant impact on user experience while playing a vital role in advancing AI-driven safety validation for autonomous vehicles.

Join Zoox as a Machine Learning Engineer Intern in Simulation and gain invaluable hands-on experience with cutting-edge technology. Our internship program not only offers mentorship from some of the brightest minds in the industry but also invites you to contribute to our innovative mission. We seek candidates who exhibit exceptional academic performance, extracurricular involvement, intellectual curiosity, and a genuine passion for advancing Zoox's groundbreaking work.The Simulation team at Zoox is responsible for generating high-fidelity synthetic data essential for the training and evaluation of our autonomous vehicle AI systems, as well as providing real-time sensor data for hardware-in-the-loop simulations. With Zoox vehicles operating in various cities across the United States, our Simulation team ensures that we are always prepared for success.As a Machine Learning Engineer Intern focused on Simulation, you will have the opportunity to join one of several teams:On the 3D World Simulation team, your role will involve enhancing our simulation pipeline to accurately replicate dynamic actors. You will conduct research on various reconstruction algorithms and integrate the most effective solutions into our simulation framework.Within the Agent Simulation team, your focus will be on developing and refining models that authentically simulate the behaviors of road agents, including pedestrians and vehicles. Your expertise in software engineering and machine learning will be crucial in ensuring these agents exhibit a diverse range of plausible human behaviors, vital for validating the safety and efficacy of Zoox's autonomous driving technology.In the 3D Sensor Simulation team, you will assist in generating high-fidelity synthetic data to train and test autonomous vehicle AI, as well as provide real-time sensor data for hardware-in-the-loop simulations. You will develop 3D machine learning models and training datasets while collaborating closely with the Sensors, Perception, and Validation teams to enhance the fidelity of our sensor simulations.On the Scenario Authoring team, you'll work to create intelligent AI systems capable of generating novel scenarios that validate the safety and performance of Zoox's autonomous driving technology. Utilizing your software engineering and machine learning skills, you will gather data, refine existing diffusion models, enhance our LLM agent, and assess outcomes against customer requirements.Lastly, as part of the Scenario Automation team, you will build tools for scenario generation and analysis to evaluate robotic behavior through simulation. Your skills in software engineering and machine learning will be essential in recreating complex scenarios to assess performance.

Join the dynamic 3D Simulation team at Zoox as a Senior Machine Learning Engineer specializing in 3D sensor simulation. In this pivotal role, you will harness advanced machine learning and generative AI techniques alongside state-of-the-art 3D graphics to create realistic simulations of various sensors, including cameras, lidar, and radar. You will have unparalleled access to top-tier sensor data and a robust infrastructure designed for thorough testing and validation of your algorithms. Collaborate closely with teams across Sensor Simulation, Perception, and Verification & Validation to enhance the accuracy and realism of sensor simulations. Your contributions will be critical in generating high-fidelity synthetic data for autonomous vehicle training and testing, as well as supporting real-time sensor data for hardware-in-the-loop simulations.

Join Zoox, a trailblazer in reshaping transportation, as a Senior Vehicle Attributes Engineer. In this pivotal role, you will collaborate with top-tier professionals in robotics, controls, and vehicle engineering to actualize an innovative autonomous ride-sharing platform. As an integral member of the Vehicle Integration team, you will lead attribute-focused teams, coordinate cross-functional initiatives, and ensure that every aspect of our vehicles adheres to the utmost standards of performance, comfort, and safety.

Join our innovative team as a Senior / Staff 3D Engine Software Engineer - Simulation at Zoox. You will play a pivotal role in developing state-of-the-art 3D engine technology, contributing to groundbreaking simulation projects that enhance the capabilities of our autonomous vehicles.

Join the pioneering 3D Simulation team at Zoox, where we are redefining the boundaries between simulation and reality through innovative machine learning solutions. We are seeking talented Machine Learning Engineers who are passionate about leveraging cutting-edge research in 3D vision. In this role, you will have unparalleled access to world-class sensor data and a robust infrastructure that empowers you to test and validate your algorithms effectively. Collaborate with our ML experts to create dynamic and diverse 3D environments, including realistic human interactions and varying environmental conditions, making a significant impact on the future of autonomous vehicles.

Join us as an Autonomous Vehicle (AV) Safety Data Engineer, where you will be instrumental in creating and maintaining a formidable data infrastructure that highlights safety-relevant interactions. This role is pivotal in assessing AV events and steering the development of autonomy through insightful data analysis. You will design scalable data pipelines and metrics that capture reliable data signals, directly impacting our evaluation of system readiness and expediting safe deployments. Moreover, you will support vital tasks related to event triage and analysis.Key Responsibilities:Develop and enhance data miners to detect significant events within fleet and simulation datasets.Utilize advanced statistical and machine learning techniques to refine existing miners for improved accuracy and efficiency, ensuring high-quality signals.Create scalable data pipelines and dashboards to monitor miner performance and key safety metrics.Perform exploratory data analyses to identify trends, failure modes, and enhancements to vehicle behavior focused on critical safety incidents and system anomalies.Evaluate AV events concerning system behavior and hardware anomalies, considering safety, legal, and engineering principles.Establish and maintain clear triage guidelines for both onshore and offshore teams.Assist in regulatory reporting by providing relevant data and analyses.

Join Zoox as an Autonomous Vehicle Safety Software Engineer and be at the forefront of transforming transportation technology. In this role, you will contribute to the development and enhancement of software systems that ensure the safety and reliability of our autonomous vehicles.As a key member of our engineering team, you will collaborate closely with cross-functional teams to design, implement, and test software solutions that meet rigorous safety standards. Your expertise will help drive the evolution of our vehicle systems, ensuring that they operate seamlessly and safely in complex environments.

Join our dynamic Vehicle Engineering Chassis team as a Technical Program Manager (TPM), where you'll play a pivotal role in advancing our brakes, steering, and structures programs. Collaborating with our esteemed supplier partners, you will ensure we meet our vehicle and corporate program milestones. Your responsibilities will include working alongside engineers and suppliers to outline timelines for deliverables, proactively identifying risks, and formulating effective mitigation strategies. In this role, you will enhance the engineering team's efficiency and focus on streamlining processes for successful project completion.Key Responsibilities:Monitor component and subsystem deliverables to adhere to Vehicle Program Design Release Gates.Create and manage schedules aligned with corporate milestones, ensuring project timelines are met.Oversee supplier software and firmware deliveries in accordance with our Firmware Release Plan.Facilitate resolution of engineering team issues, prioritizing based on severity and urgency, while ensuring compliance with program timelines.Assist engineers in communicating effectively with stakeholders about program status, challenges, and achievements.Support the team with administrative and operational functions, including shipping ticket submissions and logistical coordination to boost efficiency.Foster alignment with cross-functional teams regarding open deliverables and associated risks.Proactively identify risks and collaborate with engineering teams to drive mitigation efforts.

Join Zoox as a Senior Reliability Engineer specializing in Electric Vehicle (EV) Powertrain Systems. In this pivotal role, you will be responsible for ensuring the reliability and performance of our cutting-edge powertrain systems. Your expertise will contribute to the development of innovative solutions that enhance vehicle safety, efficiency, and sustainability.Key Responsibilities:Conduct reliability assessments and analyses for powertrain components.Collaborate with cross-functional teams to integrate reliability into the design and development processes.Implement testing protocols to validate system performance under various conditions.Identify failure modes and develop mitigation strategies.

At Vertex Sigma Software, our mission is to ensure the utmost safety for our customers utilizing our cutting-edge autonomous vehicles. As an Operations Analyst for Vehicle Integration, you will collaborate with a team of exceptional engineers from diverse fields including robotics, control systems, and vehicle engineering. Your role will be crucial in enhancing vehicle performance through physical testing, virtual simulations, and comprehensive methodologies. Additionally, you will support the Vehicle Integration team in managing financial aspects such as budgets, tracking, and procurement.Key Responsibilities:Assist the Vehicle Integration team with day-to-day budget management, including updating forecasts and tracking purchase orders.Serve as the primary contact for all budget-related inquiries within the Vehicle Integration team.Provide regular updates on budget actuals compared to forecasts, adjusting projections as necessary for the remainder of the fiscal year.Collaborate with the Finance Controller to address budget status and resolve any discrepancies.

Join Vertex Sigma Software as a Technical Project Manager specializing in Vehicle Attributes Hardware. In this pivotal role, you will orchestrate the planning and execution of technical milestones for our vehicle platforms, guiding them through to launch. Collaborating closely with hardware, firmware, software, safety, operations, and manufacturing teams, you will structure and implement strategies to achieve our ambitious company goals. Your expertise in complex automotive hardware/software systems engineering and integration will be crucial in leading cross-functional teams to resolve critical challenges and deliver on our safety and operational strength objectives. This position demands a proactive and experienced Technical Project Manager to spearhead cross-functional initiatives within the Vehicle Attributes department, particularly focusing on hardware attributes that enhance crash safety and operational durability. You will be responsible for driving the development, validation, and integration of essential vehicle structural systems to ensure our autonomous vehicles meet the highest safety and durability standards.Key Responsibilities:Lead comprehensive project execution for crash safety and operational strength attributes from initial concept to production.Coordinate effectively with Engineering, Safety, Manufacturing, Regulatory, and Testing teams to deliver solutions aligned with vehicle structural requirements.Oversee project schedules, budgets, and resource allocation for crash testing programs and durability validation activities.Resolve technical challenges related to crashworthiness, structural integrity, and durability performance.Establish and monitor key performance indicators for crash and strength attributes against vehicle targets.Facilitate test reviews, risk assessments, and benchmark studies.Manage relationships with external suppliers, testing facilities, and regulatory bodies.Document project progress, including schedules, status reports, and technical specifications.Identify potential program risks and develop strategies to mitigate them to keep projects on track.Support compliance with regulatory standards for FMVSS crash and strength and durability requirements.

Join our innovative Vehicle System Integration team, responsible for crafting the system designs and electrical architectures that ensure unparalleled reliability for our autonomous fleet. In the role of Technical Program Manager (TPM), you will be pivotal in creating actionable E/E system design roadmaps utilizing configuration management tools. Your expertise will guide the identification of execution workloads, synchronize timelines with cross-functional stakeholders, and proactively address any technical roadblocks related to timing, resources, or missing inputs.As a key player in this cross-functional environment, you will engage with Firmware, Hardware, Product, and Mission Planning teams to guarantee timely and specification-compliant delivery of integrated systems. A critical aspect of your role will be to share lessons learned across various teams, fostering efficiency in future development phases.Your responsibilities will include:Leading the timing plan and delivery for Vehicle System Integration and Electrical Architecture, ensuring alignment across hardware requirements and software/firmware stakeholder needs.Translating corporate milestones into detailed E/E product roadmaps, technical timelines, and actionable deliverables.Collaborating closely with technical leads, component owners, and other program managers to ensure alignment of E/E system design with component development plans and V&V (Verification and Validation) activities.Maintaining essential electrical system design documents and communication channels to clarify delivery requirements for all team members.Identifying and escalating delivery risks, partnering with the PMO, Safety, and Manufacturing teams to ensure accountability and goal achievement.Facilitating both technical and non-technical discussions to align team perspectives and support the development of options matrices for informed decision-making.Communicating program status, risks, and accomplishments to key stakeholders through concise reports and presentations.Establishing a structured business and meeting cadence to maintain focus on critical topics and promote continuous improvement of development processes and sharing of 'Lessons Learned'.

Role Overview Goken America LLC seeks a Technical Program Manager focused on Vehicle Testing for its Foster City, CA location. This role leads the planning and execution of vehicle testing programs, coordinating efforts across multiple teams to keep projects on track and aligned with quality expectations. What You Will Do Oversee complex vehicle testing initiatives from start to finish Coordinate with engineering teams, project managers, and stakeholders to ensure all phases of testing run smoothly Monitor progress and address issues to keep testing programs on schedule Maintain high standards for quality and compliance with customer requirements and regulatory guidelines Collaboration This position works closely with cross-functional teams, providing guidance and support to meet program goals and deliver reliable results.

Job Overview:As a Brake Performance Engineer at Vertex Sigma Software, you will play a pivotal role in enhancing vehicle braking systems. Your expertise will drive the development of brake performance metrics and ensure optimal comfort and functionality in braking operations.Key Responsibilities:Enhance brake performance and comfort by applying advanced engineering principles.Conduct tests to evaluate the synergy between brake and drivetrain actuators.Establish and monitor performance metrics for vehicle-level efficiency.Communicate system requirements to relevant teams and component designers.Innovate and refine testing methodologies for improved accuracy and efficiency.Support simulation development to forecast vehicle performance under various conditions.Implement cutting-edge technical concepts to achieve peak brake performance.Lead vehicle validation initiatives.Oversee data analysis and troubleshoot performance issues.Utilize dashboards to monitor fleet performance metrics.Manage and report on FMVSS-related testing protocols.