Senior Lead Software Engineer, AI Infrastructure Platforms
JPMorgan ChaseBase Salary
$176k - $260k/yr
Responsibilities
- Design, develop, test, review, debug, and improve secure production software.
- Architect, build, operate, monitor, and optimize cloud and GPU infrastructure for multi-GPU and multi-node AI/ML workloads.
- Translate compute, storage, networking, GPU, scalability, and reliability requirements into infrastructure platforms and capabilities.
- Build and maintain CI/CD pipelines, automation frameworks, and infrastructure-as-code solutions for ML platform deployment and lifecycle management.
- Drive technical design decisions across product architecture, infrastructure strategy, application functionality, and operational effectiveness.
- Provide technical leadership to engineers, contractors, and vendor partners.
- Promote secure coding, resiliency, operational excellence, and firmwide SDLC standards.
- Lead adoption and governance of approved AI-assisted engineering tools and establish validation standards for correctness, performance, security, testing, and code quality.
Requirements
- Formal training or certification in software engineering concepts and at least 5 years of applied experience.
- Hands-on experience building highly scalable and highly available infrastructure for machine learning training or inference workloads.
- Strong system-level knowledge of GPU infrastructure, accelerators, high-speed interconnects, distributed computing, and related platform technologies.
- Strong experience with Kubernetes, Docker, cluster operations, workload scheduling, observability, and production troubleshooting.
- Proficiency in at least one of Python, Go, Java, or C#.
- Ability to independently solve complex design, scalability, reliability, performance, and functionality challenges with minimal oversight.
- Deep understanding of cloud architecture, including compute, storage, networking, security, routing, switching, and microservices.
- Experience leading enterprise-authorized AI-assisted software development for coding, code review, testing, troubleshooting, and engineering productivity, including validating AI outputs.
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, security, and compliant usage coaching.
- Preferred experience with performance monitoring, production debugging, profiling, sampling, bottleneck analysis, and capacity optimization.
- Preferred familiarity with NVIDIA GPU infrastructure software and ecosystem tools, MLOps platforms, distributed systems, high-performance computing, ML frameworks, cloud data services, big data processing, Linux, and large-scale storage.
- Preferred experience designing platforms for model training, experiment tracking, feature pipelines, model serving, and scalable inference.
Benefits
- Competitive total rewards and benefits eligibility based on role and location.
- Health care coverage, on-site health and wellness centers, retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Eligible roles may include discretionary incentive compensation or forfeitable equity.
- Equal opportunity employer with reasonable accommodation support.
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.