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Seeking a Principal Engineer for an ML training platform team to lead engineering objectives, develop new processes, and enhance ML training and evaluation. Responsibilities include team leadership, designing and maintaining ML data processing solutions, optimizing model performance, and managing technical risks. Must have 8+ years of software development experience, strong programming skills, cloud infrastructure experience, and hands-on expertise with ML frameworks.
Leads and grows an Embedded Software team to deliver autonomous driving vehicle control systems. Provides technical leadership in embedded software engineering best practices. Coordinates with partners and suppliers for platform design and bring up.
Leads and grows an Embedded Software team to deliver autonomous driving vehicle control systems. Provides technical leadership and strategic decision-making. Oversees development and optimization of critical platform control components. Collaborates with partnering teams. Provides mentorship and feedback to team members. Self-motivated to generate new ideas and provide vision for the team.
Lead and grow an Embedded Software team to deliver autonomous driving vehicle control systems. Provide technical leadership and oversee the development of critical platform control components. Collaborate with partner teams and mentor team members.
The Senior Software Engineer will work on motion planning architecture, infrastructure, and tooling for autonomous vehicles. They will be responsible for writing robust software that directly impacts how the vehicles decide to drive. The role involves learning about full end-to-end robotics systems, applying motion planning and controls concepts, and testing code in real-time environments. The ideal candidate should have experience in C++ software design, algorithm implementation, and debugging. A background in robotics/automation and familiarity with Python is a plus. A Bachelor's, Master's, or PhD degree in Computer Science or related field is required.
The Senior Software Engineer will contribute to motion planning & controls teams by writing robust software for autonomous vehicles. They will work on building routes, navigating traffic, braking, acceleration, turning, and other actions to optimize safety & comfort.
Join our robotics team and contribute to motion planning and controls software for autonomous vehicles.
Contribute to motion planning and controls software for autonomous vehicles, optimizing safety and comfort. Opportunity to learn full end-to-end robotics systems, apply motion planning concepts, and test code in real-time environments. Skills required: C++, problem-solving, software development practices, unit testing, CI/CD, version control. Bachelor's, master's, or PhD degree in Computer Science, Computer Engineering, Mechanical Engi...
Evaluate and improve onboard infrastructure software for self-driving vehicles. Design and execute tests, and collaborate with software teams.
Lead and grow an Embedded Software team to deliver autonomous driving vehicle control systems. Provide technical leadership in architectural direction and strategic decisions. Coordinate with partners for platform design. Mentor team members and collaborate with project managers.
Leads and grows an Embedded Software team to deliver autonomous driving vehicle control systems from design to production. Provides technical leadership, collaborates with partnering teams, mentors team members, and drives decision-making. Requires experience in vehicle controllers, embedded C/C++ development, product launch, and control theory.
The Team Lead C Software Engineer will lead and grow an Embedded Software team to deliver autonomous driving vehicle control systems. They will provide technical leadership, oversee development and optimization of platform control components, and collaborate with partnering teams. The candidate must have experience leading a team, implementing vehicle controllers, and expertise in Embedded C development and C++.
Develop and implement robust tooling and testing solutions for the Motion Planner stack using C++ and Qt. Collaborate with users to understand requirements, provide support, and drive technical roadmap for specific components. Promote teamwork and knowledge sharing within the team.
Develop and implement robust tooling and testing solutions for motion planning stack using C++ and Qt. Collaborate with users to understand requirements and provide support for reported issues. Take ownership of components and drive technical roadmap aligning with project goals. Support team members and promote teamwork and knowledge sharing.
A Senior Autonomy Systems Engineer in the Planning, Controls, and Drive-By-Wire (PCD) Autonomy Systems team will work closely with their primary customer (PCD Autonomy Software Development teams) in their day-to-day work. This role enables the development of autonomous capabilities to the required performance by establishing feedback loops and insights on current/past AV system, subsystem, and software performance. These insights/data are gathered from simulation, on-vehicle, and software integration/unit testing.
The Senior Automated Driving Systems Application Engineer will be responsible for creation, compilation, and management of all requirements for a specific AMoD application. This includes specifically creation of Operational Envelope Specification, creation and management of UseCases (database), management of legal requirements as well as all other related systems requirements.
Lead and drive key Engineering objectives for autonomous vehicles. Develop cross-functional processes and integrate cutting-edge modules. Represent autonomy to the company and define development priorities. Manage a high-performing team.
Lead a high-performing team to drive and deliver on key Engineering objectives for autonomous vehicles. Responsible for integrating cutting-edge modules into the system, defining performance metrics, and managing technical risks. Hands-on experience in robotics, strong understanding of robotics systems, and proficiency in C++/Python required.
Leading a team in integrating autonomy modules into the system and ensuring on-road performance of autonomous vehicles.
Lead a team to drive and deliver on key Engineering objectives in the field of autonomous vehicles. Responsible for on-road performance, integration of autonomy software, and cross-functional collaboration.