Job Posting Develop and design advanced software applications for driverless technology company. Duties include: Build a highly reliable, scalable, and cost effective platform to search for impactful on-road scenarios, label data, prepare resulting dataset for model training, and close the model performance feedback loop. Explore, prototype, validate, and iterate new algorithms and models. Drive efforts to optimize, supervise and refine on-road performance for models on the path to production. Serve as a technical leader within the department and guide current and future technology choices. Understand the business and operational impact for different technology tradeoffs and balance them effectively based on the company's need. Enable others engineers on the team to be more effective through design and code that is easy to extend and contribute into. May telecommute. Requirements: Master's degree or foreign equivalent degree in Computer Science, Electrical Engineering, Computer Engineering, Data Science, Mathematics, or a related field Three years of work experience as a Senior Software Engineer, Machine Learning Engineer, Research Engineer, Member of Technical Staff, or a related occupation Building highly scalable platforms using Python, C, or C++; Knowledge of operating systems, including Linux; Experience with data platforms, including Hadoop and Spark; Experience with building autonomous driving software and technologies, including ROS and PyTorch; Data mining techniques and tools, including SQL, NoSQL, sklearn, Pattern recognition, and anomaly detection; Experience with developing and deploying machine learning systems; Experience with cloud computing platforms, including AWS, Google Cloud, and Azure; Software architecture and system design; Knowledge of algorithms and data structures; Containerization and orchestration tools, including Docker and Kubernetes; Experience in continuous integration and continuous deployment (CI/CD) pipelines. Compensation: The expected base compensation for this role is $180,960 to $234,000 Annually. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. About GM Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. Why Join Us We believe we all must make a choice every day individually and collectively to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. Benefits Overview From day one, we're looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources. Non-Discrimination and Equal Employment Opportunities (U.S.) General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. Accommodations General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.