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
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
Similar Jobs
.png)
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
