Senior Lead Software Engineer, AI Platforms
JPMorgan Chase19 hours ago
Base Salary
$176k - $260k/yr
Responsibilities
- Design, develop, test, review, debug, and improve secure production software.
- Architect, build, and operate scalable cloud and GPU infrastructure for multi-GPU and multi-node AI/ML workloads.
- Translate compute, storage, networking, GPU, and scalability requirements into infrastructure platforms with AI/ML, data science, and platform teams.
- Drive technical design decisions affecting product architecture, infrastructure strategy, reliability, and operational effectiveness.
- Monitor and optimize cloud and GPU infrastructure for performance, reliability, utilization, scalability, and cost efficiency.
- Build CI/CD pipelines, automation frameworks, and infrastructure-as-code solutions for ML platform deployment and lifecycle management.
- Provide technical leadership to engineers, contractors, and vendor partners.
- Drive adoption, governance, validation standards, and reuse of responsible AI-assisted engineering practices across the SDLC.
- Champion secure coding, resiliency, engineering standards, testing, operational excellence, and incident/root-cause analysis practices.
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 and/or inference workloads.
- System-level understanding of GPU infrastructure, accelerators, high-speed interconnects, distributed compute, and related platform technologies.
- Strong Kubernetes and containerization experience, including 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, microservices, compute, storage, networking, security, routing, and switching.
- Experience leading enterprise-authorized AI-assisted development tools for coding, code review, test acceleration, troubleshooting, and productivity.
- Understanding of responsible AI use in engineering workflows, data sensitivity, secure input/output handling, resiliency, and security controls.
- Preferred experience with performance monitoring, debugging, profiling, sampling, bottleneck analysis, and capacity optimization.
- Preferred familiarity with NVIDIA GPU ecosystem tooling, MLOps platforms, distributed systems, high-performance computing, ML frameworks, networking, Linux, cloud data services, and large-scale storage and inference environments.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skill set, and location; eligible roles may also receive incentive compensation.
- Benefits may include comprehensive health care, on-site health and wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Employment is contingent on review of criminal conviction history under Section 19 of the Federal Deposit Insurance Act.
- Additional compensation and benefits details are provided during the hiring process.
Categories
About JPMorgan Chase
JPMorgan Chase provides consumer and commercial banking, payments, credit card, wealth management, and corporate and investment banking services to individuals, businesses, institutions, and governments. The public company (NYSE: JPM) earns revenue from interest, fees, trading, and asset management across operations in more than 100 markets. Headquartered in New York City with roots dating to 1799, it serves retail customers and prominent corporate and government clients through brands including Chase and J.P. Morgan.