Staff Software Engineer, Cruise

• Experience developing scalable software solutions that will be used across engineering teams
• 6+ years of experience writing Python and C++ in a production environment (unit testing, code review, algorithm performance and tradeoffs, etc.)
• Experience developing automation scripts (Python and Bash scripts)
• Excellent communication skills
• BS in Computer Science, Electrical Engineering, Mechanical Engineering, or Aerospace Engineering

Desirable

• The Simulation group delivers products that accelerate our autonomous vehicle development, testing, and deployment through specialized frameworks and tools
• As a Staff Software Engineer on the Simulation Analytics team, you will lead complex efforts aimed at identifying and addressing gaps within our simulation frameworks. These improvements are essential in facilitating our customers' ability to innovate and develop new AV features
• Your responsibilities will extend to collaborating closely with external customers, translating the challenges faced by Simulation users, primarily AV developers, into a tangible roadmap for action
• Moreover, you will take charge of partnering with senior engineers to ensure the efficient execution of necessary tasks to onboard customers successfully
• You will also work towards enhancing overall productivity within the organization by building automation tools and shared libraries that will be leveraged across engineering teams
• Foremost, we are seeking an individual contributor with an entrepreneurial mindset and a willingness to take on a multifaceted role, embracing diverse responsibilities such as project management, product management, technical documentation writing, and more
• Your primary focus will revolve around the pivotal task of onboarding customers and ensuring they can utilize Sim successfully
• Extensive partnership with customers to identify and formalize the challenges they encounter during AV feature development
• Building cross team eng roadmaps that will allow us to solve customer’s problems effectively
• Create tools/features/products that are required to onboard customers
• Accelerate team’s effectiveness and efficiency by designing and implementing scalable automation tools for test creation, data collection and analysis, debugging, and performance monitoring
• Design and implement extensible and well-tested shared libraries that will be used by many engineers across the organization
• Work closely with autonomous vehicle engineering to enable rapid development and model feedback
• Maintain a high technical standard for code quality on the team, through architectural design and code reviews