WeWork Reforma Latino (97001), Mexico, Ciudad de Mexico, Ciudad de Mexico Sr. Manager Software Engineering IC Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Sr Lead Full Stack Software Engineer who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: - Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company - Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community, and from time to time, be asked to code or evaluate code - Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment - Utilize programming languages like JavaScript, TypeScript, Python, and Go, Open Source RDBMS and NoSQL databases, container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: - Advanced English fluency - Bachelor's Degree - At least 8 years of experience in software engineering - At least 5 year experience with cloud computing (AWS) - 8+ years of experience in at least one of the following: Python, JavaScript, TypeScript or Go - Experience with AI tools like Claude and Windsurf - Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders Preferred Qualifications: - Master's Degree - Experience designing, developing, integrating, delivering, and supporting complex AI systems - Experience with Spec Driven Design - 4+ years of experience in open source frameworks - 2+ years of experience in Agile practices At Capital One, we respect individual differences in culture, religion, and ethnicity. Likewise, we promote equal opportunities and development for all personnel. In the hiring process, we seek to provide equal employment opportunities to candidates, regardless of race, color, religion, gender, sexual orientation, marital or civil status, national origin, disability, or any other situation protected by federal, state, or local laws. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe, any position posted in the Philippines is for Capital One Service Corp (COPSSC), and any position posted in Mexico is for Capital One Technology Labs Mexico.

• Lead and manage a team of engineers (MERN / Full Stack / Backend) • Plan, assign, and track project tasks and timelines • Ensure timely delivery of features and product releases • Guide system design and architecture decisions • Review code and maintain coding standards and best practices • Work closely with product managers, designers, and stakeholders • Identify risks, dependencies, and remove blockers • Mentor and support engineers for skill and career growth • Participate in hiring and team building

• Le Head of Engineering dirige l’organisation engineering de CybelAngel (~15-25 ingénieurs, 4–5 équipes). • Responsable de la delivery, du développement des équipes et de la coordination cross-équipes. • Crée les conditions organisationnelles pour que la stratégie produit et technique se concrétise. • Manage directement 4 Engineering Managers et travaille en tandem avec le Staff Engineer (architecture, standards techniques) et le CTPO (vision produit et technologique). • Assure la coordination des projets cross-équipes en partenariat avec le Product Management. • Gère les dépendances entre squads, anticipe les goulots d’étranglement et débloque les situations de conflit ou de blocage.

Description General Motors is a global leader in advanced driver assistance. With Super Cruise hands-free technology in more than 500,000 Super Cruise-equipped vehicles on the road and over 700 million hands-free miles driven, GM is proving that automation can be trusted, intuitive, and helpful. GM has the global reach to bring cutting-edge advances to everyday drivers at unprecedented scale. Join us to help deliver the next generation of safe and delightful personal autonomous vehicle experiences. About the Organization The Evaluation team builds and evolves the evaluation ecosystem that powers the development and scaling of GM's autonomous driving technology. We develop metrics, automated workflows, and analysis approaches that enable data-driven decisions across AV development and verification. Partnering with Autonomy, Simulation, Systems, and Safety teams, we act as system-level integrators and arbiters of end-to-end AV quality. We own large-scale test scenario libraries, continuous evaluation pipelines, and critical risk assessment and release-gating components, treating road testing, data mining, training, and metrics as first-class use cases in a unified analytics framework. By joining this team, you will help shape GM's core evaluation platforms, turn system-level results into clear feedback for engineering and leadership, and help accelerate validated AV deployment at scale. We are looking for an Engineering Manager to lead a team building the software, metrics, and analysis systems used to evaluate autonomous driving performance at scale. This leader will combine strong technical judgment with people leadership, cross-functional influence, and execution rigor to help shape GM's core evaluation platforms and accelerate validated AV deployment. What You'll Do (Responsibilities) - Lead, coach, and grow a team of engineers building autonomy evaluation platforms, metrics, workflows, dashboards, and analysis tooling for simulation and on-road testing. - Set technical direction for systems that introspect autonomous driving software performance across interfaces and across the autonomy stack. - Drive the design and delivery of analysis algorithms that summarize, aggregate, and cluster metrics from simulation and on-road runs. - Guide the team in developing new statistical and machine learning methods to quantify performance and identify behavior patterns across scenes and operational domains. - Oversee evaluation approaches for ML components across perception, prediction, and planning, ensuring methods are explainable, scalable, and useful to development and verification teams. - Ensure the team delivers clear dashboards and interactive reports for trend analysis, drift detection, scenario coverage, and leadership insight. - Partner closely with Autonomy, Simulation, Systems, and Safety teams to define requirements, resolve handoff issues, and align evaluation strategy with product and release needs. - Help the organization leverage emerging AI techniques, including VLMs and LLMs where appropriate, to classify autonomy performance and prioritize validation work with human-in-the-loop review. - Maintain a high technical bar through strong system design, code review, testing, observability, and engineering best practices. - Translate system-level results into clear feedback for engineering and leadership and drive execution against high-priority evaluation outcomes. Leadership Responsibilities - Build a high-performing, inclusive engineering team through hiring, coaching, feedback, and career development. - Create clarity across priorities, roadmaps, and dependencies for a technically complex evaluation domain. - Balance near-term delivery with long-term platform investments in metrics, tooling, and infrastructure. - Raise the quality of team execution through clear ownership, strong design reviews, and healthy operating mechanisms. - Represent the team effectively across partner organizations and influence decisions that affect system-level AV quality. Your Skills & Abilities - 8+ years of relevant experience in robotics, autonomous systems software, data analysis, ML evaluation, or autonomy analytics, including substantial experience leading technical teams and delivering complex software systems. This manager version is adapted from a senior IC profile that calls for 5+ years in these domains. - 3+ years evaluating dynamic systems using numerical and/or ML approaches, including time-series data, state derivatives, dynamics, and interconnected subsystems. - Strong proficiency developing Python in production team environments, including testing, performance, and code review. - Strong hands-on familiarity with Pandas, NumPy, SciPy, and data visualization libraries for large-scale analysis and reporting. - Comfort working with C++ codebases, including reading, debugging, and instrumenting core algorithms. - Demonstrated technical leadership, including driving architectural decisions, influencing cross-team designs, and owning complex services or platforms end-to-end. - Strong cross-functional communication and an ability to convert ambiguous evaluation needs into clear technical plans. - Strong analytical curiosity and a disciplined approach to root-causing anomalous data and system discrepancies. - Bachelor's, Master's, or PhD in Computer Science, Robotics, Mechanical or Aerospace Engineering, Machine Learning, Data Science, or a related field, or equivalent practical experience. What Will Give You A Competetive Edge - Experience in autonomous driving or field robotics, including interpreting results from simulation and field experiments. - Experience evaluating robotics or AV systems using sensor data such as camera, lidar, and radar, and working with large-scale time-series analysis. - Strong intuition for data visualization and the ability to turn high-dimensional metrics into clear, trustworthy views for technical and non-technical audiences. - Familiarity with statistical modeling, experimental design, and hypothesis testing for autonomy or simulation evaluation. - Proficiency in SQL and experience shaping logging, data schemas, and evaluation pipelines for large-scale autonomy testing and performance monitoring. - Experience with ROS or similar robotics/IPC frameworks, log pipelines, and experiment databases or evaluation platforms. - Prior experience with computational geometry, linear algebra, PyTorch, and ML techniques applied to perception, prediction, planning, or control. - Background contributing to release gating, risk assessment, and safety-related decisions for autonomy systems. - Experience using AI-assisted development and analytics tools to improve engineering productivity and evaluation coverage. Compensation - The salary range for this role is $185,100 and $284,100. The actual base salary a successful candidate will be offered within this 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. Benefits - Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. Company Vehicle - Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies." 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. Total Rewards | Benefits Overview From day one, we're looking out for your well-being-at work and at home-so 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. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire. 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 [email protected] or call us at 1-800-865-7580. 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.