Engineer/Senior Engineer

About the role

Motional is developing self-driving technology to make transportation safer and more accessible. We are seeking skilled engineers to contribute to our autonomous vehicle systems. This role offers the chance to work on complex challenges in a dynamic field. You will play a critical part in translating high-level system requirements into resilient software components that power the vehicle stack. The ideal candidate thrives in fast-paced environments and takes ownership of their technical contributions from design through production. You will be responsible for writing clean, maintainable code that directly impacts the reliability of autonomous driving features. This position requires a proactive approach to problem-solving and collaboration with some of the brightest minds in robotics and software engineering. Your work will help define the future of mobility by ensuring our systems operate safely and efficiently in the real world.

Key facts

What you'll do

• Architect and implement software modules that handle perception, prediction, and control for autonomous vehicles.
• Build and maintain robust test suites to validate the behavior of vehicle software under diverse driving scenarios.
• Analyze system logs and performance metrics to identify and resolve software anomalies in a timely manner.
• Integrate third-party libraries and APIs to extend the capabilities of the autonomous driving stack.
• Partner with hardware engineers to ensure software optimizations align with sensor and compute constraints.
• Document technical designs and implementation details to support knowledge sharing and onboarding.
• Participate in code reviews to uphold quality standards and share expertise across the engineering organization.
• Collaborate with product managers and safety experts to refine requirements and prioritize technical debt.
• Support the deployment of software updates to vehicles in the field, including monitoring and rollback procedures.
• Mentor junior engineers by providing guidance on best practices for software development and debugging.

Requirements

• Hold a Bachelor's degree in Computer Science, Engineering, or a related field.
• Possess 2 to 4 years of professional software engineering experience in a relevant industry.
• Demonstrate proficiency in C++ and Python with a strong understanding of data structures and algorithms.
• Have hands-on experience with robotics or autonomous systems, including simulation and real-world testing.
• Show competence in version control systems, particularly Git, for managing complex codebases.
• Exhibit strong debugging skills to isolate issues in multi-threaded and distributed systems.
• Display effective communication skills to articulate technical concepts to both technical and non-technical stakeholders.
• Be authorized to work in the United States without sponsorship requirements for the location of Boston, Massachusetts, or Pittsburgh, Pennsylvania, with the exception of positions explicitly marked as remote U.S. where sponsorship is available.

Nice to have

• Hold a Master's or PhD in a relevant technical field such as Computer Science, Robotics, or Electrical Engineering.
• Bring experience with ROS or similar robotics middleware for building modular and scalable applications.
• Demonstrate familiarity with machine learning frameworks such as TensorFlow or PyTorch for model integration and optimization.
• Have a background in contributing to open-source projects or publishing research in autonomous systems.
• Show experience with containerization and orchestration tools like Docker and Kubernetes for deploying scalable services.
• Possess knowledge of functional safety standards and their application in automotive software development.

Practical notes

• Visa sponsorship is available for qualified candidates, excluding roles designated as remote U.S. where eligibility is restricted to specific locations.
• Occasional travel may be required, and candidates must be able to comply with the travel requirements associated with the specific work location.
• Employment is contingent upon the satisfaction of any background check and security clearance requirements as applicable to the role and location.
• Candidates must be legally authorized to work in the United States for the position location, with the noted exception of remote U.S. roles where sponsorship is explicitly stated.
• This role may involve exposure to sensitive information, requiring adherence to strict confidentiality agreements and data handling policies.
• The successful candidate should be prepared to engage in continuous learning to keep pace with evolving technologies and internal processes.
• Relocation assistance may be provided for specific office locations, subject to eligibility and company policies.
• The work environment is fast-paced and requires adaptability, with shifting priorities and evolving project scopes.
• Performance reviews are conducted periodically, and career advancement is based on demonstrated impact and technical growth.
• This position is full-time and expects consistent availability during standard business hours for the designated location.
• Team collaboration relies heavily on digital communication tools, and candidates should be comfortable working in a fully remote or hybrid setting when applicable.
• All offers are contingent upon the successful completion of relevant assessments and interviews as part of the hiring process.