Principal Software Engineer - High Performance Computing
JPMorgan Chase2 months ago
Base Salary
$204k - $285k/yr
Responsibilities
- Design and implement complex, scalable software frameworks using appropriate architecture patterns.
- Develop, review, debug, and improve secure, high-quality production code.
- Lead technical design reviews and advise cross-functional partners on domain solutions.
- Create reusable performance patterns and benchmarking approaches for model training and inference across compute architectures.
- Define and use telemetry and measurable performance indicators to guide hardware and software decisions.
- Mentor developers and enable the engineering community in high-performance computing practices intersecting with AI/ML.
- Architect and govern agentic AI-enabled engineering workflows, including AI-driven pull request review, test generation and maintenance, release readiness checks, incident triage, and root-cause acceleration.
- Define guardrails for validation, security, resiliency, auditability, traceability, sensitive-data handling, and reuse across teams.
- Apply software development lifecycle tools and enterprise-authorized AI-assisted development and automation capabilities to improve engineering automation at scale.
Requirements
- Formal training or certification in software engineering concepts and 10+ years of applied experience.
- 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.
- Hands-on experience delivering system design, application development, testing, and operational stability.
- Advanced software application development knowledge with in-depth expertise in disciplines such as large language models or high-performance computing.
- Strong Python and C or C++ programming skills, plus experience with AI/ML frameworks such as PyTorch.
- Experience designing and leading adoption of agentic AI-enabled development practices across teams, including human-in-the-loop validation, auditability, traceability, and secure handling of sensitive data.
- Understanding of responsible AI use and control expectations, including security, resiliency, data sensitivity, and risk-based governance.
- PhD in Computer Science, Computer Engineering, Mathematics, or a related discipline is preferred.
- Practical cloud-native experience and hands-on CUDA experience for GPU programming and performance optimization are preferred.
- Experience in large organizations or regulated industries and strong communication and collaboration skills are preferred.
Benefits
- Competitive total rewards package with role-, experience-, skill-set-, and location-based base salary.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
- Eligible roles may receive commission-based pay or discretionary incentive compensation, including cash or forfeitable equity.
- 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.