Entry-Level Hardware Engineer I - Sensors

Join Torc Robotics as a Hardware Engineer I, specializing in Sensors. In this role, you will contribute to the design, development, and testing of cutting-edge sensor technologies that drive our autonomous systems. Collaborate with a dynamic team of engineers and play a crucial role in our mission to advance robotics.

Join Torc Robotics as a Senior Hardware Engineer specializing in sensors, where you will play a critical role in the development of cutting-edge autonomous vehicle technology. You will collaborate with a talented team of engineers and contribute to innovative projects that push the boundaries of sensor technology. Your expertise will be essential in designing, testing, and integrating hardware systems that ensure the safety and efficiency of our self-driving vehicles.

Join Torc Robotics as a Hardware Engineer II specializing in sensors, where you'll play a crucial role in developing cutting-edge sensor technologies for autonomous vehicles. Collaborate with a passionate team dedicated to innovation and excellence in robotics. Your contributions will help shape the future of transportation technology.

Join Torc Robotics as a Hardware Engineer II, where you will be instrumental in developing and enhancing our cutting-edge hardware solutions. You will work with a talented team of engineers to innovate and push the boundaries of autonomous vehicle technology.

Woven by Toyota is driving Toyota’s groundbreaking transformation into a mobility powerhouse. With a rich heritage of innovation aimed at enhancing lives, our vision is to redefine mobility through human-centered innovation—broadening the scope of what mobility signifies and how it benefits society.Our initiatives revolve around four core pillars: AD/ADAS, focusing on autonomous driving and advanced driver assistance technologies; Arene, our software development platform for software-defined vehicles; Woven City, a testing ground for mobility solutions; and Cloud & AI, the digital framework that underpins our collaborative efforts. Critical business functions empower these teams to thrive as we pursue one ambitious objective: a future devoid of accidents and improved well-being for everyone.TEAMThe autonomous driving system typically includes components like Sensing, Perception, Localization, Planning, and Control. The World Understanding team is tasked with the Sensing, Perception, and Localization aspects at Woven by Toyota for autonomous driving advancements. Specifically, the Sensor & Calibration sub-team is dedicated to the intrinsic and extrinsic calibration of autonomous driving sensors, which encompass Camera, LiDAR, Radar, and IMU. Our responsibilities also extend to the quality management of sensor data for post-processing operations and the operational oversight of calibration for our autonomous driving test vehicles.WHO ARE WE LOOKING FOR?The Sensor & Calibration sub-team is on the lookout for a skilled Senior Software Engineer to aid in developing dynamic sensor calibration algorithms for our cutting-edge autonomous driving system. The chosen candidate will be entrusted with the design and implementation of online sensor calibration algorithms, validation of sensor calibration quality, optimization of runtime performance with constrained computational resources, and deployment of these algorithms to millions of Toyota production vehicles. We seek an individual with specialized expertise in sensor calibration for autonomous driving systems, a thorough understanding of hardware such as Camera, LiDAR, Radar, or IMU, and a proven track record in developing algorithms and tools for sensor calibration. Candidates who demonstrate a collaborative spirit, consistently seeking to support colleagues while focusing on delivering production-ready solutions, will be highly regarded.

We are seeking a motivated and enthusiastic Entry-Level Software Engineer to join our dynamic engineering team in our Ann Arbor office. As a key member of our development group, you will work on innovative solutions that integrate various APIs to deliver exceptional user experiences. If you are passionate about coding and eager to learn, we want to hear from you!

About Sygaldry Technologies Sygaldry Technologies develops AI servers powered by quantum computing. The team focuses on improving AI training and inference speeds while addressing the challenges of computational cost and energy use. Their servers combine multiple qubit types in a fault-tolerant architecture, aiming for scalable, efficient, and rapid performance for advanced AI workloads. Sygaldry brings together physics, engineering, and AI expertise to advance quantum technology in real-world applications. Role Overview The Lab Manager - Quantum Hardware oversees daily operations in Sygaldry’s experimental research lab in Ann Arbor. This role keeps the lab environment safe, efficient, and reliable. The Lab Manager acts as the main point of contact for equipment, facilities, vendors, and lab staff, handling procurement, compliance, and organization. The position is hands-on and requires both operational skill and technical understanding. What You Will Do Direct daily lab operations to maintain a safe, organized, and productive workspace. Handle procurement for lab equipment, components, and consumables, including vendor coordination and inventory tracking. Maintain lab infrastructure such as workbenches, utilities, gas and vacuum systems, and general workspace organization. Coordinate installation, maintenance, and repair of laboratory equipment. Support researchers by preparing lab spaces and ensuring experiment readiness. Create and update lab safety protocols, documentation, and training materials. Ensure compliance with safety, environmental, and institutional regulations. Monitor and manage shared resources to keep essential equipment available and operational. Improve operational processes to increase efficiency and reduce bottlenecks in experimental work. Assist with onboarding new team members into the lab environment.

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At Torc, we envision a future where autonomous vehicle technology revolutionizes transportation, freight movement, and business operations.As a pioneering force in autonomous driving since 2007, we have dedicated over a decade to commercializing our innovative solutions with esteemed partners. Now a proud member of the Daimler family, our focus is solely on developing cutting-edge software for automated trucks, reshaping how the world transports goods.Join us to elevate your career with the company that first introduced autonomous technology and has a unique vision to collaborate directly with truck manufacturers.

Torc Robotics develops autonomous vehicle technology for automated trucks, with a focus on software that advances commercial freight movement. As part of the Daimler family, Torc has worked closely with major industry partners since 2007. Team focus The Systems Test team ensures the safety and reliability of Torc's autonomous driving systems. Using hardware-in-the-loop (HiL) testing and simulation, the team validates how complex systems behave before new features are deployed to real vehicles. This work bridges software, hardware, and autonomy to confirm that all components operate together as intended. Role overview The Senior Systems Test Engineer - Hardware-in-the-Loop (HiL) designs, develops, and carries out validation strategies for Torc's autonomous driving software. Collaboration is central to this role: working with systems, perception, planning, and software engineering teams to verify that new features and updates integrate smoothly across the autonomy stack. This engineer helps shape test methodologies and ensures that every update receives thorough evaluation before release. Location This position is open to candidates working remotely within the U.S. or based in Ann Arbor, MI.

Torc Robotics, based in Ann Arbor, MI, develops software for automated trucks as part of the Daimler family. The company has focused on autonomous vehicle technology since 2007, working closely with industry partners to advance commercial solutions in freight and transportation. The Application Engine Team builds a versatile platform for integrating and managing deep learning models in Level 4 autonomous trucking. The team’s work centers on improving development workflows, productivity, and safety standards, while enabling feature teams to create scalable and reproducible software components. Role overview The Machine Learning Engineer I - App Engine position supports the design and development of the Application Engine SDK and related runtime environments. This role focuses on building and optimizing tools that help deploy advanced autonomous driving features. What you will do Develop a processing pipeline SDK that interfaces with distributed systems on chips using Ethernet, PCIe, and similar technologies, moving data through multiple stages. Optimize concurrent use of memory and GPU resources for parallel execution of trained models on a single system on a chip. Create a runtime environment with the App Engine SDK to deploy machine learning-based virtual driver applications. Improve SDK features to support Virtual Driver Software development. Support the Virtual Driver Division in using the Application Engine platform. Write high-quality code and develop test cases to ensure reliability.

About Torc RoboticsAt Torc Robotics, we are passionate about revolutionizing the future of transportation through autonomous vehicle technology. With a legacy of leadership in autonomous driving since 2007, we have dedicated over a decade to innovating our solutions alongside esteemed partners. Now a proud member of the Daimler family, our mission is to develop cutting-edge software for automated trucks, reshaping the logistics and freight industry.Join our team and elevate your career with a groundbreaking company that has pioneered autonomous technology and was the first software company to collaborate directly with a truck manufacturer.About the TeamThe Build and Tools group at Torc Robotics is integral to our success, overseeing the infrastructure, hosted systems, developer platforms, and build pipelines for our products. The newly formed release pipelines team within this group is tasked with creating the automation systems and workflows that support our innovative products.

About Torc RoboticsAt Torc Robotics, we are passionate about revolutionizing transportation through autonomous vehicle technology. Since our inception in 2007, we have been at the forefront of this innovation, partnering with industry leaders to bring our visions to life. As a proud member of the Daimler family, we are dedicated to enhancing automated truck solutions that redefine global freight movement. Join us to advance your career with a pioneer in the autonomous driving sphere and be part of a team that collaborates closely with truck manufacturers.Meet the Device Drivers TeamThe Device Drivers team is responsible for developing and maintaining software that configures and interfaces with various sensors within our systems. We ensure that data generated by these sensors is efficiently passed to the relevant consumers within the system.Your Responsibilities:Develop software to integrate external sensors into our systemsConduct system-level debugging and performance optimizationCreate shell scripts and automation toolsResolve system issues and enhance performanceWork collaboratively with cross-functional teams including DevOps, QA, Hardware, and NetworkingEnsure the security, stability, and scalability of our systemsOversee package builds and deploymentsContribute to technical documentation and design discussionsOptimize performance, memory usage, and real-time behavior of embedded applicationsIntegrate and maintain third-party and open-source software

Company: Torc RoboticsLocation: Ann Arbor, MI About Torc Robotics Torc Robotics has been advancing autonomous vehicle technology since 2007. Now part of the Daimler family, the team develops software for automated trucks, working to reshape how freight moves around the world. With a focus on real-world impact, Torc partners directly with truck manufacturers to bring autonomous driving solutions to market. About the Acceleration Team The Acceleration Team focuses on deploying trained machine learning models to embedded hardware. Their work includes building custom CUDA layers from Python reference designs, as well as creating pre- and post-processing modules. These modules convert raw data into model-ready inputs and translate model outputs into usable signals for the system. Reducing model inference latency is a key priority. The team uses iterative profiling and manual optimization of GPU kernels and C++ code to achieve faster, more efficient performance.

About Torc RoboticsAt Torc Robotics, we are committed to revolutionizing transportation through cutting-edge autonomous vehicle technology. Since our inception in 2007, we have partnered with seasoned industry leaders to bring our innovative solutions to market. As a proud member of the Daimler family, we are dedicated to creating software that enhances automated trucking, fundamentally changing how freight is transported. Join us in advancing the future of mobility with a company that has been a trailblazer in autonomous technology.Role Overview:We are on the lookout for a Senior Software Engineer to join our dynamic Platform Engineering team. You will play a pivotal role in designing and enhancing our internal platforms and services, enabling our engineers to automate and streamline software development, testing, and validation for autonomous vehicles on a global scale.

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Join Torc Robotics as a Senior SOTIF Engineer and play a critical role in shaping the safety and operational integrity of our cutting-edge autonomous systems. In this position, you will be responsible for developing and implementing safety frameworks, conducting risk assessments, and ensuring compliance with industry standards.

Torc Robotics is looking for a Machine Learning Engineer II to join the App Engine team. This position is available in Ann Arbor, MI or Montreal, Canada. Role overview This engineer will focus on designing, building, and deploying machine learning models for robotics applications. The work centers on supporting and enhancing the App Engine platform, with a strong emphasis on technical problem-solving in the robotics field. Key responsibilities Collaborate with cross-functional teams to develop and implement machine learning models for robotics. Apply technical expertise to address complex challenges in machine learning and robotics. Contribute to ongoing projects that improve and expand the App Engine platform’s capabilities. Collaboration This position works closely with engineering, product, and research teams to integrate machine learning into practical robotics systems.

Role overview The Autonomy Lifecycle Engineer II at May Mobility in Ann Arbor, MI manages the full lifecycle of autonomous vehicle systems. This position centers on both performance and safety, ensuring that each stage of the system’s development and operation meets high standards. What you will do Oversee and support autonomous systems from initial development through deployment and ongoing maintenance. Monitor how systems perform and address safety needs at every stage. Work closely with engineering, product, and operations teams to improve quality and efficiency. Help drive ongoing improvements in autonomous vehicle technology. Who thrives here Engineers with a background in autonomous systems or related technologies. Individuals who like collaborating with cross-functional teams to tackle complex challenges. People who value safety, reliability, and continuous improvement in their work.

Torc Robotics is seeking an ML Engineer II to support App Engine projects. This position is available in Montreal, Canada, and Ann Arbor, MI. French language proficiency is required for this role. Key responsibilities Design and develop machine learning applications that enhance App Engine features. Collaborate with engineers and other team members to build and improve technical solutions. Apply machine learning expertise to practical challenges in a team environment. Requirements Fluent in French, both spoken and written. Experience building or deploying machine learning models. Comfortable working as part of a technical team. Locations Montreal, Canada Ann Arbor, MI