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Software Engineer Kernel Jobs in Chesterbrook, PA

... Machine Learning, Software Engineering, or related disciplines. * Demonstrated experience ... Semantic Kernel, AutoGen, CrewAI, MCP, vector databases, and related AI ecosystems. * Strong ...

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Software Engineer Kernel information

What is a software engineer kernel?

Software Engineer Kernels are professionals who design, develop, and maintain the core part of an operating system known as the kernel. The kernel is responsible for managing hardware resources, facilitating communication between hardware and software, and ensuring system stability and security. Kernel engineers often work with low-level programming languages like C or C++ and focus on tasks such as device driver development, memory management, process scheduling, and performance optimization. Their work is critical for the reliability and efficiency of computers, servers, and embedded systems.

What are typical challenges faced by a software engineer kernel when working on operating system development?

Software Engineer Kernel specialists often encounter challenges such as debugging complex low-level issues, ensuring system stability, and maintaining compatibility with a wide range of hardware. They must frequently collaborate with hardware engineers and other software teams to resolve cross-disciplinary problems. Additionally, kernel engineers need to manage strict performance and security requirements, which requires a deep understanding of system architecture and careful code optimization.

What are the key skills and qualifications needed to thrive as a software engineer kernel, and why are they important?

To thrive as a Software Engineer Kernel, you need expertise in C/C++ programming, operating system concepts, and low-level debugging, often supported by a computer science degree or equivalent experience. Familiarity with version control systems like Git, kernel build tools, and platforms such as Linux or Windows kernel environments is typically required. Analytical thinking, attention to detail, and strong problem-solving skills help you stand out in this role. These abilities are crucial for developing robust, efficient, and secure kernel components that form the foundation of stable operating systems.

What is the difference between Software Engineer Kernel vs Software Engineer Firmware?

AspectSoftware Engineer KernelSoftware Engineer Firmware
Required CredentialsBachelor's in Computer Science or related; often requires knowledge of OS conceptsBachelor's in Electrical Engineering or Computer Engineering; embedded systems knowledge
Work EnvironmentOperating system development, kernel modules, system-level programmingEmbedded devices, hardware interfaces, low-level programming
Industry UsageOperating system companies, hardware manufacturers, tech firmsConsumer electronics, automotive, IoT devices
Search & ComparisonOften compared due to low-level programming focus and system impactDifferent focus on hardware interaction and embedded systems

Software Engineer Kernel and Software Engineer Firmware both work with low-level programming, but the Kernel role focuses on operating system core development, while Firmware engineers develop embedded software for hardware devices. Their skills overlap in C programming and hardware knowledge, but their work environments and end goals differ significantly.

Infographic showing various Software Engineer Kernel job openings in Chesterbrook, PA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 89% Full Time, 7% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Lead Data Scientist

Oaks, PA • On-site, Remote

SEI Investments
1 - 5K employees

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


SEI Investments rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz


Job description

SEI is seeking an accomplished and visionary Lead Data Scientist, Generative AI & Intelligent Systems to lead the next generation of AI innovation across the enterprise. This leader will define and execute SEI's AI strategy spanning traditional machine learning, Generative AI, Agentic AI, intelligent automation, and AI-powered digital experiences. The role will drive the design, development, and deployment of scalable AI solutions including enterprise copilots, RAG-based knowledge systems, AI agents, intelligent workflow automation, and advanced predictive analytics.

Working closely with business leaders, product teams, architects, cybersecurity, and engineering teams, this individual will transform emerging AI capabilities into practical business solutions while establishing scalable frameworks, governance standards, and AI best practices across the organization.

What You Will Do

  • Define and drive SEI's AI strategy across Machine Learning, Generative AI, Agentic AI, and Intelligent Automation initiatives.
  • Lead the design and delivery of enterprise-scale AI solutions including:
    • Generative AI applications
    • RAG (Retrieval-Augmented Generation) platforms
    • Conversational AI and enterprise chatbots
    • AI copilots and virtual assistants
    • Multi-agent and agentic AI systems
    • Knowledge discovery and search solutions
  • Architect AI systems that integrate Large Language Models (LLMs), enterprise knowledge repositories, APIs, and business workflows while ensuring scalability, security, and governance.
  • Evaluate emerging AI technologies, foundation models, frameworks, orchestration platforms, and agentic architectures to determine strategic fit for SEI.
  • Lead AI product development from ideation through deployment, including experimentation, prototyping, productionization, monitoring, and continuous improvement.
  • Establish best practices and standards for LLMOps, AI governance, prompt engineering, model evaluation, AI safety, observability, and responsible AI.
  • Partner with business stakeholders to identify high-value AI opportunities and translate business challenges into innovative AI-powered solutions.
  • Design and oversee RAG pipelines, vector databases, semantic search architectures, and knowledge management solutions.
  • Guide the development of AI-enabled products leveraging structured and unstructured data sources.
  • Collaborate with security, privacy, legal, and risk teams to ensure AI solutions meet regulatory, governance, and compliance requirements.
  • Mentor and develop data scientists, AI engineers, architects, and technical leaders while fostering a culture of innovation, experimentation, and continuous learning.
  • Communicate AI strategy, solution architectures, business value, and technical insights to executive leadership and non-technical stakeholders.

What We Need From You

  • Bachelor's degree from an accredited college or university and/or equivalent relevant experience. MS, MBA, PhD, or CFA designation is a plus.
  • 10+ years of experience in Artificial Intelligence, Data Science, Machine Learning, Software Engineering, or related disciplines.
  • Demonstrated experience delivering enterprise-scale Generative AI and Machine Learning solutions from concept through production.
  • Deep expertise in Large Language Models (LLMs), Generative AI architectures, Retrieval-Augmented Generation (RAG), prompt engineering, and AI orchestration frameworks.
  • Strong experience designing AI applications using technologies such as Azure AI, OpenAI, Anthropic, LangChain, Semantic Kernel, AutoGen, CrewAI, MCP, vector databases, and related AI ecosystems.
  • Strong understanding of Agentic AI patterns including planning, orchestration, memory, tool use, workflow automation, and multi-agent systems.
  • Experience implementing AI governance, model evaluation, AI observability, security controls, and responsible AI frameworks.
  • Strong cloud expertise in Azure, AWS, or GCP, including AI platform services and production deployment architectures.
  • Advanced Python development skills and experience building scalable AI applications and APIs.
  • Experience working with structured and unstructured data, knowledge repositories, search platforms, and document intelligence solutions.
  • Proven ability to balance innovation with governance, risk management, security, and operational excellence.

What We Would Like From You

  • Demonstrated thought leadership in Artificial Intelligence, Generative AI, Agentic AI, or related emerging technologies.
  • Experience defining enterprise AI roadmaps, operating models, governance structures, and adoption strategies.
  • Strong understanding of financial services, wealth management, or regulated industry environments.
  • Exceptional communication and executive presentation skills with the ability to influence senior leadership and stakeholders.
  • Proven ability to lead cross-functional teams consisting of AI engineers, data scientists, architects, product managers, cybersecurity professionals, and business leaders.
  • Experience evaluating third-party AI platforms, vendors, and strategic partnerships.
  • Strong product mindset with an ability to translate complex business challenges into scalable AI products and capabilities.
  • Excellent analytical, problem-solving, and strategic decision-making skills.

SEI's competitive advantage:


To help you stay energized, engaged and inspired, we offer a wide range of benefits including comprehensive care for your physical and mental well-being, a strong retirement plan, tuition reimbursement, support for working parents and flexible Paid Time Off (PTO) so you can relax, recharge and be there for the people you care about.


Benefits include healthcare (medical, dental, vision, prescription, wellness, EAP, FSA), life and disability insurance (premiums paid for base coverage), 401(k) match, education assistance, commuter benefits, up to 11 paid holidays/year, 21 days PTO/year pro-rated for new hires which increases over time, paid parental leave, back-up childcare arrangements, paid volunteer days, a discounted stock purchase plan, investment options, access to thriving employee networks and more.


We are a technology and asset management company delivering on our promise of building brave futures (SM)-for our clients, our communities, and ourselves. Come build your brave future at SEI.


The position title reflected in this job description is aligned with SEI's current internal job architecture. As part of SEI's role and career framework, internal job titles may not directly correspond to external market titles and may differ from titles previously assigned during an employee's tenure or at the time of hire.


SEI is an Equal Opportunity Employer and so much more...


After over 50 years in business, SEI remains a leading global provider of investment processing, investment management, and investment operations solutions. Reflecting our experience within financial services and financial technology our offices encompass an open floor plan and numerous art installations designed to encourage innovation and creativity in our workforce. We recognize that our people are our most valuable asset and that a healthy, happy, and motivated workforce is key to our continued growth. At SEI, we're (literally) invested in your success. We offer our employees paid parental leave, back-up childcare arrangements, paid volunteer days, education assistance and access to thriving employee networks.


SEI is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law.


AI Acceptable Use in the application and interview process:


SEI acknowledges the growing integration of artificial intelligence (AI) tools into individuals' personal and professional lives. If you intend to incorporate the use of any AI tools at any stage of the application and/or interview process, please ensure you have reviewed and adhere to our AI use guidelines.


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