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Exec Eda Software Engineer Jobs in Ohio (NOW HIRING)

J.P. Morgan

AI Sr Lead Software Engineer

Columbus, OH

As a Senior Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Small ... Acts as the primary interface with senior leaders, stakeholders, and executives, driving consensus ...

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Exec Eda Software Engineer information

What are the key skills and qualifications needed to thrive as an Exec EDA Software Engineer, and why are they important?

To thrive as an Exec EDA Software Engineer, you need strong programming skills (often in C++, Python, or Java), a background in computer science or electrical engineering, and deep understanding of Electronic Design Automation (EDA) concepts. Familiarity with industry-standard EDA tools (such as Cadence, Synopsys, or Mentor Graphics) and experience with hardware description languages (like Verilog or VHDL) are typically required. Excellent problem-solving, collaboration, and communication skills help you navigate complex design challenges and work effectively within cross-functional teams. These skills and qualifications are crucial for developing innovative EDA solutions that enhance semiconductor design productivity and accuracy.

What is an Exec Eda Software Engineer?

An Exec Eda Software Engineer is a specialized software engineer who works with Electronic Design Automation (EDA) tools, focusing on the design, verification, and optimization of electronic circuits and systems. Their role typically involves developing, maintaining, and improving software that automates tasks in the chip design workflow. Exec-level EDA engineers often lead projects, mentor junior engineers, and collaborate with hardware designers to ensure high-quality, efficient solutions. They must have strong programming skills, a deep understanding of computer architecture, and experience with EDA tools and methodologies.

What are some common challenges Exec Eda Software Engineers face when working on complex EDA tool development projects?

Exec Eda Software Engineers often encounter challenges such as optimizing algorithms for performance and scalability, integrating new features into large and legacy codebases, and ensuring compatibility with various hardware architectures. They also need to keep up with rapid changes in semiconductor technology and collaborate closely with hardware engineers, verification teams, and other software developers to deliver robust and efficient EDA solutions. Strong problem-solving skills and adaptability are essential to overcome these technical and collaborative hurdles.
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Exec Eda Software Engineer jobs near you

Lead Software Engineer AWS/Java

JPMorganChase

Columbus, OH • On-site

Full-time

Re-posted 27 days ago

Job description

Job Summary:
JPMorgan Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals. As a Lead Software Engineer, you will be part of an agile team responsible for enhancing and delivering technology products while driving operational stability and innovation in software solutions.
Responsibilities:
• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect
• Performs heavy coding utilizing Java, Spring, Microservices/RESTful API, relational databases and Cloud services
• Leads Agile team of 6 as an active developer and contributor by solving and implementing difficult technology challenges for successful team delivery
• Expand unit testing automation suite capabilities by integrating tests into CI/CD pipeline; ensuring 100% documentation & unit testing of all code delivered
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team
• 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
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• 8+ years hands on experience using Java, Spring based technologies and event based microservices in a Cloud environment (AWS, GCP, Azure, etc.)
• Strong experience with micro services/RESTful API, relational/NoSQL databases, data modeling and data ingestion frameworks
• Hands-on experience with data streaming and messaging frameworks (Kafka, Spark, etc.)
• Understanding of containers (Dockers, Kubernetes, Helm, etc.)
• Influencing & stakeholder management: Aligns roadmaps; secures cross‑functional buy‑in with data and clear trade‑offs
• Executive communication: Frames complex tech and risk as business impact with clear options
• Mentoring: Coaches engineers; builds quality, psychological safety, and continuous improvement
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred:
• AWS certification.
• In-depth knowledge of the financial services industry and their IT systems
• Design and implement robust automation frameworks and tools to support continuous integration and delivery
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions
• Identify opportunities for process improvements and implement changes to enhance efficiency and effectiveness
• Stay updated with the latest industry trends and technologies in performance testing and automation
• Track record leading modernization programs (e.g., monolith-to-microservices or cloud migrations) in regulated environments
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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