Test Engineer - Autonomous Vehicles (Remote)

Sustainable Talent is collaborating with Nvidia, a pioneering force in computer graphics and accelerated computing for over 25 years. We are seeking a dedicated Test Engineer to join our client's Automotive Vehicles team. This is a full-time, W-2 REMOTE contract position offering competitive compensation ranging from $60/hr to $85/hr, adjusted based on experience, education, and location, along with comprehensive benefits, paid time off, and a vibrant company culture.This role emphasizes system-level testing, simulation analysis, and technical debugging in the realm of autonomous vehicles. You will engage in significant efforts to develop and enhance testing frameworks that will contribute to revolutionary solutions in the transportation sector and the evolving domain of self-driving cars. Collaborating with skilled and passionate multi-disciplinary engineering teams, you will integrate their contributions into our autonomous vehicle software platform while meeting or surpassing NVIDIA and automotive industry standards and guidelines.

Join Motional as a Senior Software Engineer focused on enhancing the performance metrics of autonomous vehicles. In this pivotal role, you will leverage your expertise to improve vehicle performance and optimize metrics that ensure safety and efficiency in autonomous driving.

Join our dynamic team at Applus+ IDIADA as a Vehicle Test Driver in Boston, MA. In this exciting role, you will be responsible for conducting comprehensive tests on various vehicle models, ensuring they meet stringent performance, safety, and regulatory standards. Your keen observational skills and attention to detail will be critical in documenting and reporting on vehicle performance metrics.As a Vehicle Test Driver, you will work closely with our engineering team to provide valuable feedback that will drive the development of innovative automotive solutions. This position offers a unique opportunity to engage in hands-on testing in a state-of-the-art environment.

Join our innovative Behaviors team at Motional, where you will work alongside leading ML engineers dedicated to advancing self-driving technology and making a meaningful social impact. Our team specializes in developing sophisticated machine learning models that enable autonomous vehicles to navigate real-world traffic scenarios effectively. These models inform our vehicle's behavior and predict interactions with other road users, including vehicles and pedestrians.We are seeking exceptional leaders and technical experts passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and wish to accelerate your career with a dynamic, rapidly growing company, we want to hear from you!Your Responsibilities:Define and oversee motion planning and prediction projects aimed at enhancing the safety, comfort, and legality of our self-driving vehicles in complex traffic environments.Lead, mentor, and expand a talented team of engineers.Design and implement advanced behavior models utilizing cutting-edge machine learning, generative AI, and reinforcement learning techniques.Transition solutions into production and deploy them across our fleet of autonomous vehicles.Collaborate with perception, simulation, data platforms, and integration teams to validate and optimize the performance of your solutions in real-world scenarios.Communicate strategies, progress, and challenges to the executive leadership team.

Join our dynamic team as an Engineer/Senior Engineer focused on Perception Capabilities, where you will have the opportunity to develop innovative software products leveraging advanced computer vision and deep learning technologies. Your expertise in detection, classification, segmentation, or tracking will play a crucial role in creating impactful solutions in a production-oriented environment.We value curiosity and motivation, and we encourage you to learn from our experienced team. If you enjoy tackling complex technical challenges, asking insightful questions, and collaborating to produce top-notch software, this is the place for you.Your contributions will directly impact the perception stack of our self-driving vehicles, enhancing safety-critical applications in an open-world context.

Join the innovative Offline Driving Intelligence (ODIN) team at Zoox, where we harness cutting-edge AI technologies to develop algorithms that enhance our understanding of the world around us. Our focus is on utilizing large models primarily in offline environments to create impactful solutions for our self-driving robot, facilitating safe and efficient navigation through complex settings.As a vital member of the ODIN team, you will be tasked with the development of advanced multimodal large language models that significantly improve environmental comprehension. Your role will involve fine-tuning these models for off-vehicle analysis, collaborating closely with the onboard engineering team to implement solutions that enable our robotaxi platform to swiftly identify hazards and interpret driving restrictions with minimal latency. Working alongside a team of esteemed engineers and researchers, you will leverage high-quality sensor data and state-of-the-art infrastructure to validate your algorithms in real-world scenarios, making a direct contribution to the productivity, safety, and capabilities of Zoox's autonomous systems.

Motional is on the lookout for a highly skilled Principal Engineer to join our Planning team. In this pivotal role, you will be responsible for designing innovative motion planning and control systems that ensure the safe, efficient, and comfortable operation of our autonomous fleet in intricate environments. We seek an individual with a strong background in advanced algorithm development and robust software engineering, committed to shaping production-ready autonomous vehicles. If you are passionate about autonomous driving and enjoy tackling real-world challenges in a dynamic field, we welcome your application.Key Responsibilities:Lead the research and development of groundbreaking algorithms and subsystems for motion planning within autonomous driving, enhancing the Operational Design Domain. This encompasses advanced search-based and geometry-driven methods, alongside decision-making under uncertainty, with a focus on probabilistic techniques.Oversee cross-functional initiatives to create or enhance interfaces aimed at solving complex problems.Continuously monitor system performance to pinpoint areas for enhancement and formulate technical strategies to address shortcomings.Guide cross-functional project teams to deliver comprehensive solutions, showcasing the ability to think beyond the planning system's limitations.Architect and integrate sophisticated motion planning and prediction algorithms, leading their assessment and optimization for real-world applications.Design and develop a resilient, scalable, and high-performance codebase that enables rapid exploration, prototyping, and thorough evaluation of new motion planning methodologies and algorithms.Facilitate technical collaboration and ensure seamless integration with upstream perception and prediction components, as well as downstream trajectory optimization, tracking, and control systems, guaranteeing optimal end-to-end system performance.Utilize your extensive software development and research expertise to mentor others in best software practices, fostering a culture of technical excellence.Mentor junior and senior team members, promoting a culture of product-focused engineering, rigorous research, and advanced development.

Join our innovative Perception team at Zoox, where we harness the power of cutting-edge sensor data to decode the intricacies of dynamic driving environments. In this pivotal role, you will leverage world-class sensor data and a robust infrastructure to test and validate groundbreaking algorithms. Your contributions will be instrumental in developing advanced algorithms for segmentation, tracking, classification, and high-level scene understanding, allowing you to engage with any or all of these exciting components.As a Senior Staff Machine Learning Engineer, you will spearhead the creation of machine learning algorithms that significantly influence both onboard and offboard autonomy and validation processes. You will work collaboratively with specialized teams in Prediction, Planning, Simulation, and Safety Validation, shaping our overarching technical framework. Your innovative approach will bridge team boundaries, enabling the prototyping of new methodologies that guide the long-term technical vision across multiple divisions within the organization. The impact of your work will range from achieving immediate company objectives to leading pioneering exploratory initiatives.

Join the Motion Planning team at Zoox, where your expertise will enhance the driving behaviors of our autonomous robots on public roads. As a Senior/Staff Software Engineer, you will be responsible for developing algorithms that determine the robot's navigation paths and ensure safe operation in complex environments, such as the bustling streets of Downtown San Francisco and the vibrant Las Vegas Strip. Collaboration is key; you will work alongside experts in Planning, Perception, Prediction, and Operations to drive the next wave of innovations in autonomous driving. At Zoox, safety is paramount, so you will implement well-researched modifications to the Planner, conduct rigorous testing in simulations and closed environments, and partner with our safety drivers during on-road trials.

Join our innovative Behaviors team focused on Prediction and Machine Learning Planning at Motional, where you will collaborate with leading ML engineers dedicated to transforming self-driving vehicles into a reality and making a positive impact on society. Our team develops advanced machine learning models that understand how various agents navigate intricate, real-world traffic environments. These models are pivotal in directing the behavior of our autonomous vehicles while also predicting the actions of other entities like vehicles and vulnerable road users. We are on the lookout for exceptional leaders and technical specialists who are deeply passionate about Level 4 autonomous driving technology. If you thrive on intellectual challenges and seek to advance your career within a rapidly growing organization, we want to hear from you!

Mission Overview: As a Principal Engineer and Technical Lead at Motional, you will spearhead a dynamic team dedicated to creating and implementing advanced trajectory planning algorithms through numerical optimization for autonomous vehicles. You will play a pivotal role in designing the motion planning and control systems that empower our fleet to navigate through intricate environments with safety, efficiency, and comfort. As a vital leader, you will not only enhance the development and performance of innovative trajectory generation algorithms but also collaborate with multidisciplinary teams including Planning, Perception, Prediction, Localization, Machine Learning Products, and Systems Engineering. Additionally, you will mentor a skilled group of engineers to deliver cutting-edge solutions. If you are enthusiastic about autonomous driving and wish to contribute to our commercial launch this year, enjoy tackling challenging real-world problems, and are eager to make a profound impact in a rapidly evolving domain, we invite you to connect with us! Your Responsibilities: Lead and expand a high-impact trajectory planning team, defining its technical vision, execution strategy, and long-term organizational role within the Motion organization. Prepare for commercial launch readiness by enhancing on-road driving behavior (safety, comfort, assertiveness) across the fleet through feature expansion, continuous performance improvements, and innovative methodologies. Utilize a systematic, metrics-driven approach to measure and enhance on-road performance. Advocate for the use of existing training and evaluation pipelines to ensure scalable, production-ready delivery. Oversee the computational efficiency and real-time performance of trajectory generation algorithms, ensuring compliance with latency budgets. Direct the swift triage and root-cause analysis of critical fleet incidents, translating real-world edge cases into immediate algorithmic enhancements and validation sets. Manage the successful execution of complex, multi-team projects, ensuring technical alignment from design to deployment while upholding a rigorous standard for testing and validation to meet the high safety benchmarks required for our commercial launch. Collaborate with peer leads to provide technical leadership, making crucial decisions regarding architectural direction, strategic investments, tactical execution, and technical debt reduction. Ensure technical excellence through thorough design and code reviews, while actively fostering the professional growth and mentorship of your engineering team. Set and pursue ambitious goals that inspire the team to deliver industry-leading trajectory solutions.

Join our dynamic Motion Planning team at Motional, where your enthusiasm for robotics and software engineering will help shape the future of autonomous vehicles. In this pivotal role, you will conduct research, develop innovative algorithms, and create software that ensures safe, comfortable, and user-friendly navigation.Key Responsibilities:Design and implement diverse algorithms for autonomous driving, covering search-based methods, sampling-based techniques, optimization strategies, linear-temporal logic, and decision-making in uncertain environments.Integrate and assess various motion planning and prediction algorithms for optimal performance.Create a robust and scalable codebase that facilitates swift testing and evaluation of different motion planning methodologies.Collaborate with perception, prediction, trajectory optimization, and control components to enhance system performance.Engage in code reviews and mentorship opportunities with experienced team members to foster professional growth.Promote a culture centered on product-driven engineering, research, and development.

Mission: We are looking for an exceptional Principal Engineer and Technical Lead to spearhead our extensive AI model and software evaluation framework known as Ground Truth Regression. The ideal candidate will possess a robust background in data engineering and machine learning principles, along with proven leadership experience in creating and deploying sophisticated data analysis and large-scale orchestration frameworks. At Motional, orchestrating large-scale data analysis is essential for the development of our machine learning-driven autonomous vehicles. Our robo-taxi ML models and software are crafted by a diverse team of developers and deployed multiple times daily. The Ground Truth Regression team is responsible for providing a comprehensive perception analysis framework that validates any modifications affecting the behavior of our autonomous vehicles. The GTRegression team assesses the overall impact of ML and software modifications on the autonomous vehicle during the development phase, equipping the team with tools for root cause analysis and safety assessments. We actively monitor for model errors, anomalies, rare objects, and long-tail driving scenarios across thousands of driving hours. Our team is responsible for developing the complete stack, including AWS Kubernetes orchestration frameworks, re-simulation tools, model metrics, regression reports, and in-depth analysis UIs. We collaborate closely with other perception and ML teams to define metrics and analyze outcomes.

Join our dynamic Motion Planning team where your enthusiasm for robotics and software development will drive the innovation of production-ready autonomous vehicles. In this pivotal role, you will conduct cutting-edge research, design algorithms, and develop software that crafts safe, efficient, and user-friendly routes and motions for autonomous systems.Key Responsibilities:Develop and implement advanced algorithms for autonomous driving, including search-based, sampling-based, optimization-based methods, and decision-making under uncertainty.Integrate various motion planning and prediction algorithms, assessing their effectiveness in real-time scenarios.Design and maintain a robust and scalable codebase to facilitate swift exploration and evaluation of diverse motion planning methodologies.Collaborate with upstream perception and prediction components, as well as downstream trajectory optimization and control systems.Engage in code reviews and mentor junior team members to foster a culture of excellence and continuous improvement.Promote a product-focused engineering culture through innovative research and development initiatives.

Join Our Team at Motional: As a Senior Machine Learning Engineer specializing in ML Planning, you will collaborate with top-tier machine learning engineers and research scientists to revolutionize the future of self-driving vehicles. Your work will contribute to creating a positive social impact by enhancing the technology that interprets complex driving environments and devises safe, efficient driving strategies for our robotaxi fleet.Your Responsibilities:Lead the design and execution of innovative experiments, leveraging insights from cross-functional teams of machine learning engineers.Prototype and implement advanced metrics to assess the performance of our behavioral models across diverse scenarios and capabilities of our robotaxi.Ensure timely deployment of significant model updates, analyzing both offline and on-road evaluation results.Stay abreast of industry trends and propose novel architectures and network designs informed by the latest research.Maintain a robust and high-quality training and evaluation codebase, focusing on dataset generation and assessment.

Join Our Team: At Motional, our mission is to revolutionize transportation through the development of autonomous vehicles. As part of our cutting-edge team, you will collaborate with top-tier machine learning engineers and research scientists to bring self-driving technology to life, making a positive impact on society. We focus on creating advanced tech stacks that analyze complex driving environments and generate safe, comfortable trajectories for our robotaxi services using state-of-the-art deep neural networks.Your Role:As a Senior Machine Learning Engineer specializing in prediction, you will play a pivotal role in training, evaluating, and deploying our machine learning models for scene understanding, behavior prediction, and planning. Your daily responsibilities will include:Designing and conducting high-impact experiments through collaboration with fellow machine learning engineers.Prototyping and enhancing metrics for assessing the performance of our behavioral models across various scenarios and capabilities.Ensuring timely updates of major models, including detailed analysis of offline and on-road evaluation data.Staying abreast of the latest industry trends, proposing innovative architectures and network designs based on current literature.Maintaining a robust training and evaluation codebase, particularly focusing on dataset generation and evaluation.

Join Whoop as a Mechanical Engineer II specializing in Manufacturing Test, where you will play a pivotal role in ensuring the quality and performance of our cutting-edge products. You will collaborate with cross-functional teams to develop and execute robust testing methodologies, analyze data, and contribute to the continuous improvement of our manufacturing processes.

Principal Engineer and Team Lead - Motion Planning Join our innovative Planning team at Motional, where your enthusiasm for robotics and software development will contribute to the advancement of production-ready autonomous vehicles. As the Principal Engineer and Team Lead, you will oversee a talented team dedicated to designing and implementing state-of-the-art motion planning software for autonomous vehicles. This pivotal role requires you to lead the definition of motion planning and control systems that ensure our fleet operates safely, efficiently, and comfortably in complex environments. Your leadership will be instrumental in developing cutting-edge motion planning algorithms, working in collaboration with cross-functional teams (Localization, Perception, Prediction, Controls, ML Products, and Systems Engineering), and mentoring a diverse group of engineers to deliver groundbreaking solutions. If you are driven by a passion for autonomous driving, enjoy tackling challenging real-world problems, and are eager to make a significant impact in a rapidly evolving industry, we would love to hear from you.

Mission Overview: At Motional, we are revolutionizing the way autonomous vehicles extract vital insights from extensive multimodal sensor data. Our advanced autonomous driving architecture relies on identifying rare edge cases, long-tail scenarios, and significant model inaccuracies. Our innovative framework, Omnitag, serves as the driving force behind this data discovery. In your role as a Senior Machine Learning Engineer within the Data Mining team, you will be tasked with creating the "Brain" of this framework: designing large-scale multimodal Teacher models that interpret the world and refining them into hyper-efficient Student models capable of analyzing exabytes of data in near real-time. You will operate at the crossroads of large-scale representation learning, retrieval optimization, and reasoning systems. Your contributions will profoundly impact how we encapsulate knowledge into streamlined encoders for rapid searches, as well as how we utilize reinforcement learning to enhance data discovery processes and intelligent querying. By developing smarter mining tools, you will expedite the entire model enhancement lifecycle for teams engaged in post-training evaluations, error diagnostics, and dataset refinement.

Medraai seeks a Systems Test Engineer for a 5-month contract based at a customer location in Boston. This role centers on supporting advanced robotic systems used in biological research. The engineer will work independently on-site, running daily protocols, troubleshooting technical issues, and keeping close communication with the Medraai engineering team in San Francisco through Slack and observability tools. What you will do Keep robotic systems running reliably during daily operations and look for ways to improve performance. Troubleshoot on-site issues using standard operating procedures, playbooks, and hands-on knowledge of the systems. Document and report complex incidents, including relevant data, to the engineering team. Monitor system health using dashboards and alerts to prevent failures in production. Carry out regular calibration and preventive maintenance on robots, peripherals, and consumables. About Medraai's technology Medraai builds Physical AI Scientists, robotic systems that work alongside biopharma partners to accelerate scientific discovery. Their robots handle scientific instruments with dexterity similar to humans, while their AI can analyze results and determine next steps on its own. The company launched its first production system over a year ago and recently closed a $52 million Series A. Medraai is now opening one of the country’s largest autonomous labs. Team and culture Engineers come from organizations such as Tesla, Amazon, SpaceX, and Neuralink. Collaboration and rapid iteration are part of daily work and team activities, including outings like skiing or go-karting. The team values curiosity, engineering, and robotics. Members share interests from race cars to cooking, and learning together is common. Open and direct communication is encouraged. Design trade-offs are discussed thoroughly, and disagreements are handled with empathy and efficiency.