JPMorganChase Logo

JPMorganChase

Principal Software Engineer - High Performance Computing

Posted 3 Days Ago
Be an Early Applicant
Hybrid
Palo Alto, CA, USA
Expert/Leader
Hybrid
Palo Alto, CA, USA
Expert/Leader
Designs scalable software frameworks and production systems for high-performance computing, optimizing AI/ML model training and inference across compute architectures. Leads technical design reviews, benchmarking, telemetry, secure coding, and operational improvements. Develops enterprise agentic AI engineering workflows with governance, validation, auditability, security, and resiliency guardrails. Mentors engineers and drives adoption of HPC, AI/ML, and automation practices across teams.
The summary above was generated by AI

As a Principal Software Engineer at JPMorganChase within the Core Foundational Platforms team, you provide expertise and engineering excellence as part of an agile team to enhance, build, and deliver trusted technology products in a secure, stable, and scalable way. You will collaborate with engineers, data scientists, and product partners, mentor other developers, and help teams make informed tradeoffs across low-latency, throughput, and efficiency—grounded in telemetry and operational outcomes.

Job responsibilities

  • Design and implement complex, scalable software frameworks using appropriate architecture patterns
  • Develop secure, high-quality production code; review, debug, and improve code written by other engineers
  • Lead technical design reviews and advise cross-functional partners on solutions within your domain of expertise
  • Create reusable performance patterns and benchmarking approaches to optimize model training and inference across compute architectures
  • Define and use telemetry and measurable performance indicators to guide hardware and software decisions
  • Mentor and enable the developer community in high-performance computing (HPC) practices that intersect with artificial intelligence/machine learning (AI/ML)
  • Architects and governs agentic AI-enabled engineering workflows (using enterprise-authorized tools within the work environment) to improve delivery speed, code quality, and operational outcomes at scale (e.g., AI-driven PR review assistance, test generation/maintenance, release readiness checks, incident triage and root-cause acceleration), while defining guardrails for validation, security, resiliency, and reuse across teams.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation at scale.

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced knowledge of software application development and technical processes with in-depth expertise in one or more disciplines (for example, large language models, high-performance computing)
  • 8+ years of experience in high-performance computing software
  • 5+ years of experience with at least one type of accelerator
  • 3+ years of experience in deep learning, particularly large language models
  • Strong programming skills in Python and at least one systems language (C or C++), plus experience with AI/ML frameworks such as PyTorch
  • Demonstrated experience designing and leading adoption of agentic AI-enabled development practices (using enterprise-authorized tools within the work environment) across teams, including setting standards for human-in-the-loop validation, auditability/traceability of changes, and secure handling of sensitive data.
  • Strong understanding of responsible AI use and control expectations in engineering workflows, including security/resiliency implications, data sensitivity, and risk-based governance; ability to influence senior technical leaders on safe scaling patterns and reuse.

Preferred qualifications, capabilities and skills

  • PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline).
  • Practical cloud native experience
  • Hands-on experience with CUDA for GPU programming and performance optimization preferred
  • Experience in large organizations and regulated industries is a plus
  • Excellent communication skills and the ability to work collaboratively in a dynamic team environment
About Us
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

JPMorganChase San Francisco, California, USA Office

San Francisco, CA, United States

Similar Jobs

14 Days Ago
Hybrid
Expert/Leader
Expert/Leader
Financial Services
Lead development of high-performance, scalable software frameworks that optimize ML training and inference on accelerator-based architectures. Mentor engineers, advise cross-functional teams, apply HPC and telemetry-driven decisions, and publish reusable performance patterns for low-latency, throughput, and power-efficient solutions.
Top Skills: AcceleratorsCC++CudaDeep LearningHigh-Performance Computing (Hpc)KubernetesLangchainLlmsMpiNcclPythonPyTorchScriptingSlurm
57 Minutes Ago
Remote or Hybrid
106K-197K Annually
Senior level
106K-197K Annually
Senior level
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Owns the Campaign Management product platform, including product vision, multiyear strategy, roadmap, backlog, prioritization, KPIs, and stakeholder alignment. Partners with Agile teams, engineering, Marketing, Technology, and data organizations to modernize campaign execution, lead routing, and channel alignment capabilities. Leads customer-driven design, usability testing, delivery planning, product health monitoring, and regulatory prioritization while communicating value and managing expectations across the enterprise.
Top Skills: Agile
An Hour Ago
In-Office or Remote
United States
Mid level
Mid level
Big Data • Information Technology • Software • Analytics • Energy
Manage medium- to large-scale IT projects from initiation through completion, including software implementations, system integrations, data solutions, requirements, schedules, budgets, risks, resources, and delivery. Lead cross-functional teams, coordinate business and technical stakeholders, support statements of work and client presentations, manage project financials, and identify opportunities for business development. The role requires strong consulting, client delivery, communication, planning, negotiation, and stakeholder management skills, with potential travel based on project needs.
Top Skills: Data ArchitectureData VisualizationEnterprise Software ImplementationsExcelMicrosoft Office SuiteMicrosoft PowerpointMicrosoft ProjectMicrosoft WordSystem Integrations

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account