Staff Software Engineer, Trajectory Generation & Controls

Stack AV; Oregon; Híbrido; USD 120.000 - 170.000; Jornada completa

Descripción de la vacante

Stack AV is seeking an experienced software engineer to lead trajectory generation and controls for autonomous trucks. You will drive features from design through deployment, partnering with Autonomy, Systems Engineering, and Operations teams to deliver safe, reliable software.

The role emphasizes real-time, safety-critical development using modern C++ and Python, with extensive testing, simulation, and cross-team collaboration.

Formación

• BS in CS/EE/ME or closely related field; MS/PhD a plus.
• 5+ years software engineering experience.
• Experience building motion planning or control systems for real-world apps.
• Knowledge of model predictive control or real-time trajectory generation is a plus.
• Fluent in modern C++ and Python.

Responsabilidades

• Own TG&C feature delivery from design to integration.
• Collaborate with Autonomy, Systems Eng, and Operations teams.
• Write state-of-the-art software with unit tests and simulations.
• Work with multiple Autonomy teams to deploy robust solutions.

Conocimientos

Motion Planning

Optimization

Controls

C++

Python

Unit testing

Simulation

Educación

BS in CS/EE/ME

MS/PhD is a plus

Herramientas

None

Descripción del empleo

About Stack:

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. If you are an Internal Candidate, please apply via our Internal Job Board.

About the Role:

The Trajectory Generation and Controls (TG&C) team owns the trajectory generation, optimization and controls components that power how autonomous trucks drive. You are a great fit if you have real world experience with Motion Planning, Optimization and/or Controls, as well as a proven record deploying real-time, safety critical software to production. In this role you will work in all phases of the software development cycle, from solution design to implementation and deployment. You will collaborate with various teams in Autonomy, Systems Engineering and Operations, fostering a culture of safety, principled engineering and a customer oriented mindset.

Responsibilities:

• Own the delivery of TG&C features from design to integration, providing a well controlled, safe and comfortable vehicle experience.
• Provide input to team roadmaps and ensure timely delivery of features.
• Work closely with systems engineers to ensure a safe, well tested product is delivered.
• Write state of the art software, using modern C++ and Python. Make extensive use of unit testing, simulation, and log simulation.
• Work closely with other Autonomy teams (Constraint Generation, Trajectory Selection, World Fusion, Prediction, Perception, Localization, Calibration, ...) to design and deploy robust solutions, encompassing all aspects of autonomous driving.
• Be involved in design and iteration exercises, and help to align stakeholders by using strong presentation and communication skills.

Qualifications:

• BS in Computer Science, Electrical Engineering, Mechanical Engineering or closely related field. MS or PhD is a plus.
• 5+ years of software engineering experience.
• Experience building motion planning and/or control systems for real world applications. Experience with large ground vehicles is a plus.
• Knowledge and experience with optimal control or dynamic optimization, especially in the context of model predictive control or real-time trajectory generation. Experience with optimization algorithms (e.g., sequential quadratic programming, interior point methods) is a plus.
• Knowledge and experience with vehicle dynamics, system identification and real-time control algorithms. Experience with tooling and metrics is a plus.
• Fluent in modern C++.
• Experience with Python.

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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expresses the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.