Technical Lead in Simulation and Modeling

About Sygaldry TechnologiesSygaldry Technologies is at the forefront of innovation, developing quantum-accelerated AI servers that dramatically enhance the speed of AI training and inference. By merging quantum computing with artificial intelligence, we are paving the way towards superintelligence, ensuring scalability and affordability. Our cutting-edge AI servers utilize various qubit types within a resilient architecture to achieve the optimal balance of cost, scalability, and rapid processing required for sophisticated AI applications. We are pioneers in the realms of physics, engineering, and AI, tackling formidable challenges with a culture rooted in optimism and rigor. We invite you to join us in shaping the future of quantum and AI technology with significant global implications.Role OverviewThe Technical Lead for Simulation and Modeling will have the unique opportunity to spearhead the development of the ASTRA-sim project. This role involves defining the simulation, modeling, and emulation strategy for our organization, while collaborating with various internal teams and external partners. You will be responsible for integrating existing estimation tools into the ASTRA-sim framework, ensuring a cohesive approach to simulation at Sygaldry.Key Responsibilities:Lead the selection and confirmation of Sygaldry's distributed simulation environment, focusing on integrating ASTRA-sim and Chakra functionalities.Establish the simulation infrastructure from the ground up.Define a comprehensive roadmap for simulation, modeling, and emulation initiatives.Collaborate with diverse internal teams and external partners to drive innovation.Mentor internal teams on the integration of estimation tools into the ASTRA-sim framework.

May Mobility is at the forefront of revolutionizing urban transport with groundbreaking autonomous technology, creating a safer, greener, and more accessible world. Headquartered in Ann Arbor, Michigan, we innovate and deploy autonomous vehicles (AVs) powered by our advanced Multi-Policy Decision Making (MPDM) technology, redefining how AVs interpret their environment.Our vehicles transcend mere self-driving capabilities; they contribute to community value, fill public transit voids, and facilitate safe, enjoyable mobility for users. We are committed to crafting the leading autonomy system that reimagines transportation by reducing congestion, enhancing access, and promoting sustainable land use, cultivating greener, more vibrant, and livable spaces. Since our inception in 2017, we have successfully provided over 500,000 autonomous rides worldwide, and this is just the beginning. We are on the lookout for passionate individuals who share our vision of shaping the future, tackling real-world challenges, and witnessing the tangible results of their efforts. Join us on this exciting journey.May Mobility is in search of an innovative and accomplished Director of Predictive Simulation to spearhead our initiatives in swiftly implementing iterative enhancements to our autonomous driver stack. As a pivotal member of our leadership team, you will guide the design, development, and continuous enhancement of a comprehensive simulated testing suite. This suite will play a crucial role in accurately forecasting the behavior of May's AVs across varied Operational Design Domains (ODDs).

About May Mobility May Mobility is based in Ann Arbor, Michigan, and focuses on improving urban transportation with autonomous vehicle technology. The company’s proprietary Multi-Policy Decision Making (MPDM) system helps AVs interpret their surroundings and operate safely. Since 2017, May Mobility’s vehicles have delivered over 500,000 autonomous rides worldwide, supporting safer, greener, and more accessible communities. Role Overview: Autonomy Engineer II, Simulation This position centers on simulation-based testing for autonomous vehicles. The Autonomy Engineer II will maintain and improve the core simulation interface, build supporting tools, and help turn simulation data into practical insights for the team. The work supports May Mobility’s commitment to passenger safety and ongoing expansion of autonomous shuttle services. Main Responsibilities Develop, maintain, and enhance simulation interfaces and APIs that support continuous AV system development. Work with data team members and stakeholders to identify, implement, and validate software for measuring autonomous vehicle performance indicators. Create, maintain, and support simulation tools to validate AV safety and performance. Design and build systems for managing simulation test portfolios and results, making simulation tests easier to find and use across the organization. Collaborate with cross-functional teams to define software and system requirements. Take part in team product quality activities. Location This role is based in Ann Arbor, MI.

About Torc RoboticsTorc Robotics is at the forefront of transforming transportation through autonomous vehicle technology. As a pioneer in this field since 2007, we have dedicated ourselves to commercializing innovative solutions in partnership with leading industry players. Now proudly a part of the Daimler family, we focus on advancing software solutions for automated trucks, aiming to revolutionize freight movement globally. Join us to elevate your career with an organization that has consistently pushed the boundaries of autonomous technology.Meet Our Team:The Simulation Environments team is tasked with developing and integrating state-of-the-art simulation tools that empower a wide array of autonomy capabilities. We create robust, scalable, and resilient cloud-based simulation solutions utilizing modern managed cloud services to support diverse internal stakeholders across the domains of autonomy and perception engineering.Your Role:As a part of the Simulation team, your responsibilities will include designing, implementing, maintaining, and monitoring cloud-based simulation services that facilitate virtual driver-stack testing and extensive simulation workloads. You will be involved in every stage of the software development lifecycle, from the initial design and algorithm development to testing, deployment, and ongoing support.Conduct full software development lifecycle tasks utilizing Python and C++ in a Linux environment, adhering to Lean-Agile methodologies.Design, implement, and sustain scalable cloud systems leveraging AWS managed services, with an emphasis on scalability, reliability, observability, and operational excellence.Develop and provision cloud infrastructure to support simulation initiatives efficiently.

The Senior System Test Engineer - Simulation position at Torc Robotics offers the option to work remotely within the U.S. or from Ann Arbor, MI. This role is part of the Systems Test team, which plays a key part in validating the safety and performance of Torc’s autonomous driving system. Role overview As a Senior System Test Engineer, the work centers on simulation, virtual testing, and data-driven validation. The goal is to ensure the autonomous driving system performs reliably and safely before it is deployed on the road. The team investigates both routine and complex driving situations, using simulation to test how the system responds in a wide range of scenarios. Collaboration This role involves close collaboration with teams focused on perception, planning, systems engineering, and safety. Working together, these groups address the technical challenges of testing autonomous vehicle behavior under various conditions. Focus areas Simulation-based validation of autonomous driving features Virtual testing to assess system performance and safety Data-driven analysis to support reliability before deployment Testing in both standard and challenging scenarios

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About Torc Robotics: At Torc, we envision a future transformed by autonomous vehicle technology, revolutionizing travel, freight movement, and business operations. As a pioneer in autonomous driving since 2007, we have dedicated over a decade to commercializing our innovative solutions alongside seasoned partners. Now integrated within the Daimler family, our focus is on developing cutting-edge software for automated trucks, shaping the future of freight movement. Join us to elevate your career with the company that has set the standard in autonomous technology and was the first AV software firm to collaborate directly with a truck manufacturer. Join Our Team:Torc Robotics is seeking a dynamic Director of Technical Program Management to lead and expand our TPM organization while we enhance our autonomous driving platform. This pivotal role bridges product and engineering, ensuring clarity in backlogs, roadmaps, and execution across our intricate hardware and software systems and aligning teams for optimal performance. Your Responsibilities: Refine program management and engineering processes to deliver an industry-leading autonomous commercial vehicle product. Drive the TPM team’s progress in achieving milestones, maintaining open communication across all organizational levels. Foster collaboration and partnerships across departments, breaking down silos to create a unified approach. Develop a comprehensive understanding of the technical domains relevant to your team and stakeholders. Implement engineering and program management best practices to enhance quality, efficiency, and precision in team outputs. Work collaboratively with other leaders and teams to meet program objectives and support high-performance standards. Assist TPM management with budget maintenance, initiatives, and procedural reporting. Engage actively in team, department, and company-wide events and meetings. Facilitate employee engagement through relationship-building and performance feedback, helping to define career aspirations and implement development plans.

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May Mobility develops autonomous vehicles in Ann Arbor, MI, aiming to improve urban transportation with advanced technology. The company’s Multi-Policy Decision Making (MPDM) system helps AVs interpret their surroundings, supporting safer and more accessible travel. Since 2017, May Mobility has delivered over 500,000 autonomous rides worldwide, focusing on reducing congestion and increasing mobility options. Role overview The Lead Machine Learning Engineer will drive progress in machine learning for autonomous vehicles. This position involves leading efforts to advance both on-vehicle and off-vehicle ML systems, ensuring solutions meet the demands of commercial deployment and high-quality standards. What you will do Lead the development and improvement of machine learning systems for autonomous vehicles. Work on projects that impact both the vehicles themselves and supporting infrastructure. Contribute to large-scale, real-world deployments in a commercial environment. What we look for Experience advancing machine learning initiatives, ideally within autonomous vehicles or related fields. Ability to deliver high-quality solutions at scale. Interest in shaping the future of transportation.

Join Torc Robotics as a Manager of Technical Program Management in our Safety & Compute Platform division. In this pivotal role, you will lead cross-functional teams to drive the development and execution of critical safety initiatives and compute platform strategies. Your expertise will be essential in ensuring our programs meet high-quality standards while adhering to timelines and budgets.We are looking for a dynamic leader who is passionate about technology and safety, with a proven track record in managing complex technical projects. This is an exciting opportunity to make a significant impact in the fast-evolving field of robotics.

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