Jobs

Principal Software Engineer - High Performance Computing
Atlanta, GA; Jersey City, NJ; Seattle, WA
·
On-site
·
Full-time
·
3d ago
If you are looking for a game-changing career, working for one of the world's leading financial institutions, you've come to the right place.
As a Principal Software Engineer at JPMorgan Chase within the Core Foundational Platforms team, you provide expertise and engineering excellence as an integral part of an agile team to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Leverage your advanced technical capabilities and collaborate with colleagues across the organization to drive best-in-class outcomes across various technologies to support one or more of the firm's portfolios. You will lead virtual and direct teams of developers, teaching them best practices in high-performance computing (HPC) practices that intersect with AI/ML. Thus, you are collaborative-especially since you will work closely with cross-functional teams comprised of data scientists, business analysts and other engineers. You will infuse the JPMorgan developer community with an appreciation of the impact that HPC can have by delivering software that consistently outperforms other platforms. You will deliver a variety of options to serve our various business needs--sometimes driven by low-latency; other times driven by throughput or low power.
Job responsibilities
- Creates complex and scalable coding frameworks using appropriate software design frameworks
- Develops secure and high-quality production code, and reviews and debugs code written by others
- Advises cross-functional teams on technological matters within your domain of expertise
- Serves as the function'stechnical, go-to subject matter expert
- Contributes to the development of technical methods in specialized fields in line with the latest product development methodologies
- Creates durable, reusable software frameworks that are leveraged across teams and functions
- Influences leaders and senior stakeholders across product, data science and technology teams
- Champions the firm's culture of diversity, opportunity, inclusion, and respect
- Using telemetry, create measurable frameworks for deciding amongst hardware and software options
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Support developer community in learning lessons from high-performance computing (HPC) domain
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 7+ 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 considerable in-depth knowledge in one or more technical disciplines (e.g. LLMs, High-performance computing (HPC), etc.)
- Experience applying expertise and new methods to determine solutions for complex technology problems in one or more technical disciplines
- Ability to present and effectively communicate with Senior Leaders and Executives
- Master's Degree in Computer Science
- 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
- Deep familiarity with HPC software (e.g., NCCL, MPI) and resource schedulers (e.g., Kubernetes, SLURM)
- Strong programming skills in Python, scripting, C, C++ with experience in AI/ML frameworks like Py Torch and Lang Chain
Preferred qualifications, capabilities, and skills
- PhD preferred (Computer Science, Computer Engineering, Mathematics, or related discipline).
- Practical cloud native experience
- Experience in large organizations and regulated industries is a plus
- Hands-on experience with CUDA for GPU programming and performance optimization preferred.
- Excellent communication skills and the ability to work collaboratively in a dynamic team environment
- Publish and support re-usable patterns to optimize training and inference of ML models on various architectures
- Experience in high‑performance computing within national labs or academic research environments, including large‑scale distributed systems and accelerator‑based workloads.
This position is subject to Section 19 of the Federal Deposit Insurance Act. As such, an employment offer for this position is contingent on JPMorgan Chase's review of criminal conviction history, including pretrial diversions or program entries.
ABOUT US
JPMorgan Chase, 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 TEAM
Our 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.
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.5
Compensation
4.0
Culture
3.8
Career
3.2
Management
2.8
68%
Recommend to a friend
Pros
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
Salary Ranges
44 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
4 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
50%
Experience
Positive 25%
Neutral 75%
Negative 0%
Interview process
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
Common questions
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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