50 jobs found

Principal Agentic AI Engineer Analog Design Automation Location: San Jose, CA or fully remote from any US location Job Summary We are seeking an experienced AI/ML Technical Leader to drive the development of next-generation AI-powered automation solutions for analog semiconductor design. This role combines deep expertise in analog custom layout, parasitic extraction, physical verification and simulation with modern Large Language Models (LLMs), agentic AI architectures, and software engineering. The ideal candidate will lead the design and implementation of intelligent AI agents that automate complex analog design and verification workflows, improve engineering productivity, and integrate seamlessly with existing EDA environments. This position requires a unique combination of semiconductor domain expertise, AI/ML knowledge, and software development experience. Key Responsibilities Design, develop, and deploy agentic AI workflows that automate analog semiconductor design and verification processes. Build AI agents leveraging existing Large Language Models (LLMs) to improve engineering productivity across analog development flows. Develop reusable AI Skills, MCP (Model Context Protocol) tools, and workflow orchestration components with an emphasis on efficient token utilization, context management, and scalability. Collaborate with analog design, layout, and physical verification teams to identify automation opportunities and deliver production-ready AI solutions. Develop robust software using Python and modern DevOps practices, including CI/CD pipelines, workflow automation, and version-controlled development. Integrate AI solutions with EDA environments using Tcl, Python, Rust and other scripting languages. Optimize AI workflows for performance, reliability, security, and cost efficiency. Lead architecture discussions and mentor engineers on AI-driven semiconductor automation technologies. Stay current with advances in Generative AI, LLMs, Agentic AI, and semiconductor design automation. Required Qualifications Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related technical discipline. 8+ years of experience in analog semiconductor development workflow automation. 8+ years of experience in physical verification, including signoff verification methodologies. 8+ years of experience developing high-speed analog custom layouts. Proven experience designing and implementing agentic AI workflows using existing Large Language Models (LLMs). Experience developing AI Skills, MCP tools, and agent orchestration frameworks with efficient token utilization strategies. Strong programming skills in Python. Experience with DevOps methodologies, CI/CD pipelines, software engineering best practices, and version control systems. Strong scripting experience using Tcl. Thorough understanding of: - Analog floorplanning - Device matching and analog layout techniques - EM/IR analysis and power planning - Parasitic RC extraction and tradeoff analysis - High-speed analog design methodologies - Simulation methods Preferred Qualifications Experience integrating AI solutions with commercial EDA tools such as Cadence, Synopsys, or Siemens EDA. Experience with Retrieval-Augmented Generation (RAG), vector databases, and AI knowledge management systems. Familiarity with Model Context Protocol (MCP) architecture and AI tool development. Experience deploying AI applications on cloud or hybrid computing platforms. Knowledge of modern LLM frameworks such as LangGraph, LangChain, Semantic Kernel, CrewAI, or AutoGen. Experience building production-grade AI systems with observability, monitoring, evaluation, and governance. Technical Skills Agentic AI Large Language Models (LLMs) MCP (Model Context Protocol) Python Tcl Rust DevOps and CI/CD Workflow orchestration Analog Custom Layout workflow Analog Design workflow

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Job Description Summary As a Principal AI Software Engineer, you will drive technical vision and architect enterprise AI applications for multiple initiatives across the company. You'll integrate LLMs, agent workflows, NLP, computer vision, and predictive analytics to build secure, high-availability and cost-efficient AI based solutions. You'll partner with product, data science, and engineering leaders, mentor teams, and raise standards in Agile, testing, security, and documentation. We support growth, autonomy, and collaboration across research and product. Job Description Responsibilities: Set AI architecture and technical vision across products. Lead cross-team initiatives with product and data science. Design RAG and agent workflows; optimize LLM integrations. Build multi-tenant, high-availability systems with observability. Establish AI cost management, monitoring, and security standards. Required Qualifications: Bachelor's degree in Computer Science, Computer Engineering, or related technical field. 10+ years of programming experience in a relevant language using modern front-end frameworks (React, Vue, or Angular) and multiple backend languages (Python preferred, Java, Node.js or Go). Proven track record designing and shipping production applications that incorporate LLMs or AI services at scale. Experience with vector databases (e.g. Milvus, Pinecone, Weaviate, pgvector) and advanced embedding model optimization in production applications. Expertise with multiple LLM providers and advanced AI orchestration frameworks (LangChain, LlamaIndex, custom frameworks). Extensive experience leading technical teams, driving cross-team initiatives, and providing technical mentorship. Expert-level experience with cloud platforms (AWS, GCP, or Azure) and advanced containerization (EKS). Eligibility: Must be willing to work out of an office located in Niskayuna, NY or Cambridge, MA. Accelerated Immersion for Senior talent: Impact starts with a deep understanding of our core capabilities. For Cambridge, MA based resources, this position includes a required three-month (hybrid) onboarding residency at the GE Vernova Advanced Research Center in Niskayuna, NY. This immersive program allows our senior talent to establish a strong technical foundation, collaborate with our premier scientists and engineers, and align with our mission to lead the energy transition from the epicenter of our innovation hub. Travel, housing, and living stipend provided. Preferred Qualifications: 13+ years of full software development lifecycle experience, including architecture design, technical leadership, and large-scale system optimization. Advanced understanding of enterprise RAG architectures, semantic search optimization, and conversation memory management at massive scale. Experience with multi-modal AI integration, model fine-tuning, and deployment of custom AI models. Experience with AI observability tools, cost optimization strategies, and performance monitoring at enterprise scale. Experience with cross-organizational collaboration and influencing other teams' directions and road maps. Experience with technical strategy development and technology roadmap planning. GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $145,400.00 and $242,500.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on April 28, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.

Genesis10 is seeking a DevOps Engineer for a contract position with a financial services client located in New York, NY. This is a hybrid position and requires being onsite 3 days per week. Summary: We are seeking a DevOps Engineer with hands-on, production-level experience designing, securing, and operating enterprise CI/CD pipelines for modern cloud-based applications. This role requires far more than GitLab source control experience-you will own automated software delivery pipelines, implement governance and security best practices, and enable reliable deployments across multiple application stacks and cloud environments. The ideal candidate has a strong background in GitLab CI/CD, cloud-native application deployments, container technologies, Azure, DevSecOps, and infrastructure automation, with experience supporting enterprise software delivery at scale. Key Responsibilities: GitLab CI/CD Engineering Design, build, maintain, and troubleshoot multi-stage GitLab CI/CD pipelines using .gitlab-ci.yml Configure and manage GitLab runners, artifacts, caching, CI/CD variables, deployment environments, approvals, and deployment gates. Develop reusable pipeline templates, shared components, include files, and parent/child pipelines to standardize delivery across teams. Implement GitLab governance, including branching strategies, merge request workflows, CODEOWNERS, protected branches/tags, merge trains, and approval rules. Monitor and optimize pipeline performance, reliability, observability, and maintainability. Integrate automated testing, security scanning, dependency scanning, secret detection, container scanning, and policy-based quality gates into delivery pipelines. Application Build & Deployment Build, test, package, and deploy enterprise applications across one or more of the following technology stacks: .NET / C# Java Python Node.js / JavaScript / TypeScript Candidates should understand the unique CI/CD requirements of each platform, including dependency management, build optimization, testing frameworks, artifact creation, security scanning, containerization, and deployment strategies. Cloud & Container Deployment Deploy and manage containerized applications through GitLab CI/CD into Azure-based environments. Build, tag, scan, and publish Docker container images using Azure Container Registry (ACR) or comparable cloud registries. Configure deployment workflows across Development, Test, UAT, and Production environments with approvals, promotions, rollback strategies, and health validation. Manage Docker images, networking, runtime configuration, logging, monitoring, and release processes. Integrate Infrastructure-as-Code solutions such as Terraform, Bicep, ARM Templates, or CloudFormation into CI/CD pipelines. Azure & AWS Cloud Technologies Support cloud-native deployments using foundational Azure and AWS services. Azure Azure Container Registry (ACR) Azure Key Vault Microsoft Entra ID Azure RBAC Azure Storage Azure Monitor Virtual Networks Resource Groups Service Principals and Managed Identities AWS EC2 IAM VPC S3 CloudWatch ECR ECS Amazon Machine Images (AMIs) / Golden Images Secrets Management & Identity Integrate Azure Key Vault into CI/CD workflows for secure management of secrets, certificates, API keys, and connection strings. Implement secure credential management using masked GitLab variables, environment isolation, least-privilege access, and credential rotation. Configure GitLab authentication to Azure using Service Principals, Microsoft Entra ID, Azure RBAC, and secure identity practices. Experience with Workload Identity Federation/OpenID Connect (OIDC) is a plus. AI-Assisted Engineering Utilize AI-assisted development tools such as Claude Code or comparable solutions to improve development, testing, documentation, debugging, and code quality. Ensure AI tools are used responsibly within enterprise governance standards while maintaining human oversight, secure coding practices, and protection of proprietary code and sensitive information. DevSecOps & Enterprise Governance Support enterprise release governance, auditability, access controls, and separation-of-duties requirements. Collaborate with software engineering, cloud infrastructure, platform engineering, and security teams to establish scalable CI/CD standards and improve developer productivity. Champion DevSecOps best practices across the software development lifecycle. Required Qualifications: 5+ years of experience designing and supporting enterprise CI/CD pipelines. Strong hands-on experience with GitLab CI/CD in production environments. Experience creating reusable GitLab pipeline templates and deployment automation. Experience deploying containerized applications using Docker and Azure container services. Strong knowledge of Azure cloud services, identity, networking, monitoring, and security. Working knowledge of AWS cloud services and container deployment concepts. Experience integrating Infrastructure-as-Code into CI/CD pipelines. Solid understanding of DevSecOps principles, automated testing, and application security. Experience implementing secure secrets management and identity integration. Strong troubleshooting, automation, and scripting skills. Excellent communication and collaboration skills. Preferred Qualifications: Experience supporting enterprise financial services or other highly regulated environments. Experience with Azure Kubernetes Service (AKS), Kubernetes, or other container orchestration platforms. Experience with Terraform, Bicep, ARM Templates, or CloudFormation. Familiarity with OpenID Connect (OIDC) and Workload Identity Federation. Experience using AI-assisted developer tools such as Claude Code, GitHub Copilot, or similar enterprise AI coding platforms. Experience driving CI/CD standardization and platform engineering initiatives across multiple development teams. The pay rate range for this position is $70 - $90 per hour If you have the described qualifications and are interested in this exciting opportunity, apply today! Genesis10 Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) Remote opportunities available For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Who We Are: The Tactical Aerospace Department is a premier supplier for aerospace quality Complex Electronics on new and legacy DoW systems. This includes avionics, mission LRU's, flight worthy payloads, ground aerospace systems, and cutting edge third generation AI/ML for DoD platforms. This position is located on-site at either of our San Antonio, TX or Dayton (Beavercreek), OH facilities. Objectives of this Role: Responsible to develop System level and LRU Architectures. Lead the development of CONOPS, develop requirements, requirement allocation, and test. Guide multi-disciplinary engineering teams to develop hardware, firmware, and software for complex flight worthy avionics/mission LRU's/payload hardware. Interact directly with clients to establish system requirements and architectures to meet client expectations. Provide technical project leadership throughout each program. Must be willing to travel. Utilize Model Based Systems Engineering (MBSE) processes to support system designs/architectures. Support department management in specific technical marketing activities, proposal development of embedded systems, and in the development of product/technical roadmaps. Daily and Monthly Responsibilities: System Engineer over embedded avionics/aerospace programs. Lead a multi-disciplinary team to develop, integrate, and test embedded complex flight worthy systems. This includes electrical, mechanical, firmware, software, and AI/ML. Meet with internal and external customers to establish system technical requirements and facilitate development of specification documents and system architectures. Lead trade analyses within and across the relevant domains. Work with stakeholders to allocate functions to components/systems and develop those allocations into requirements for the engineers, designers, and managers to design, develop, integrate and test. Requirements: Requires a Bachelors degree in Electrical Engineering, Systems Engineering or equivalent engineering degree field with related experience. 10+ years: Experience developing, deriving, and allocating tiered Systems Engineering requirements in Avionics applications/LRU's. Broad, basic understanding of engineering activities/disciplines in avionics development (e.g. Systems, Hardware Development, Firmware, software, Integration, Testing, Bid and Proposal efforts, CONOPS, Qualification, Certification, System Safety, FMEA, Lab activities, etc). Experience developing CONOPS and System/LRU Architectures and basic/Intermediate experience with Model Based System Engineering (MBSE). A valid/clear driver's license is required.

Principal Radar Systems Engineer Contract 6+ months 40 hours weekly Hourly rate of pay is $85+ based on Experience and Education Location: Woburn, MA. Hybrid work environment but must be able to commute to Woburn office as needed for activities Required Qualifications: This position requires an Active Secret security clearance with the ability to obtain and retain a Top Secret (TS) security clearance with SCI/SAP eligibility, for which U.S. citizenship is needed by U.S. Government. Client is focused on delivering National Defense capabilities by driving mission-focused strategies to develop advanced technology systems enabling enduring products and solutions focused on achieving the customer vision. Our programs deliver sustainable, reliable, and cost-efficient capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. We consider the entire lifecycle of the solution, from conceptualization and architecting, through development to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. Client delivers technology advantage into users' hands and is seeking a Principal Radar Systems Engineer to support/lead the architecting, design, development, and implementation of radar systems that meet challenging customer needs. You will collaborate with fellow researchers and engineers on multi-disciplinary teams to interpret and understand customer objectives and develop innovative solutions. You may direct and/or lead development efforts and junior engineers, as needed, in areas of focus including exploration and demonstration of Radar and EW/RF convergence. As a Systems Engineer, you will apply a broad perspective and understanding of the elements that comprise a complete, functioning radar system to architect solutions, be directly involved with implementing the solutions (hands-on engineering), and guide teams spanning software, hardware, integration and test. You should have experience defining leading teams, architecting complete radar systems, and working across the Systems Engineering Lifecycle, with familiarity in Digital Engineering/MBSE. Strong interpersonal, communication, technical, and peer-leadership skills are required. Applicants are expected to be self-motivated, detail oriented and have a demonstrated ability to effectively communicate with all levels of management and individual contributors on the program team through strong written and verbal communication skills. You will be joining a dynamic team working across multiple disciplines with opportunities to further expand your knowledge and grow your career. Responsibilities Include: Researching, understanding, and leading new RF sensing implementations for advanced radar solutions. Identifying new technical approaches and working with program and technical leadership to implement these approaches Decomposing customer needs/complex problems and developing system concepts and solutions Effectively using tools to create, evaluate, and document solutions and clearly communicate the solution to the team, Client management, and customers, which may include generating system models in Cameo Designing, directing, and when necessary, implementing cutting-edge technology in multi-function radar systems Conducting performance analysis through simulations and real-world testing to validate and optimize radar performance Ensuring appropriate level of rigor is applied to achieve systems that meet customer needs Collaborating with cross-functional teams to define system requirements, specifications and architectures for radars, and ensure seamless integration and interoperability of the system Development and specification of simulation tools to facilitate test and verification of radar software and hardware components Required Qualifications: This position requires an Active Secret security clearance with the ability to obtain and retain a Top Secret (TS) security clearance with SCI/SAP eligibility, for which U.S. citizenship is needed by U.S. Government. Expert understanding of and experience with entire radar systems and their principles of design, development, requirements verification, test planning, test execution, data analysis, and operations support In-depth knowledge of how to implement radar modes, including transmit and receive waveform generation and signal processing Proficiency in radar simulation tools and MATLAB Experience in preparing and delivering high-level briefings to customers and senior management. Interacting with decision-makers and customers to translate mission needs into an end-to-end solution Familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMs) Demonstrated experience in leadership and delivery of advanced development projects Minimum of 10 years work experience as a Radar Systems Engineer Desired Qualifications: Active Top Secret Security Clearance, and eligible to support special access programs. Minimum of 5 years experience working with SysML models in Cameo (or similar tool). Experience working with software-intensive systems and open architecture. Familiarity with programming languages (e.g. C, C++, Python). Education/background: Background should include a Bachelor's degree and at least 10 years of applicable experience directly related to development and deployment of radar systems; Master's degree and at least 8 years of applicable experience; or PhD and at least 5 years of applicable experience. Equivalent experience will be considered.

Network & Telecom Support Engineer II Summary of Position: The Network & Telecom Support Engineer II is responsible for the support, implementation, and maintenance of the organization's network infrastructure and telephony systems. This entry-level role assists in the deployment and optimization of networking technologies, including routers, switches, firewalls, and wireless access points, while also managing and supporting cloud-based telephony platforms such as Cisco Webex Cloud, Webex Contact Center, and Vonage Contact Center. The engineer will work collaboratively with senior engineers and cross-functional teams to ensure the reliable, secure, and efficient operation of both network and telecom environments that support the business. Principal Duties and Responsibilities: Network Implementation: Assist in the deployment of network infrastructure, including routers, switches, firewalls, and wireless access points. Participate in the implementation and configuration of network solutions, ensuring alignment with organizational standards and best practices. Deploy network configuration through automated workflows following CI/CD practices. Contribute to the deployment of Software-Defined Wide Area Network (SD-WAN) solutions to improve network efficiency and reliability. Assist in the implementation of cloud connectivity solutions, optimizing for performance, security, and cost-effectiveness. Telephony Management: Assist in operating and optimizing cloud-based telephony systems, including Webex Cloud for internal telephony, Webex Contact Center for IT Service Desk operations, and Vonage Contact Center for sales and customer care. Support the configuration and administration of telephony systems, leveraging automation tools and DevOps principles where applicable. Assist in the integration of telephony solutions with other IT systems and platforms. Monitor telephony system performance and usage metrics, analyzing data to ensure optimal performance and identify areas for improvement. Assist with telephony-related projects, including system upgrades, migrations, and new implementations. Operations and Support: Provide on-call service 24x7 for Tier 2 support in partnership with Service Desk for network and telephony-related issues, troubleshooting and resolving problems in a timely manner. Monitor network and telephony performance using monitoring tools to identify and address potential issues proactively. Assist in the administration of network and telephony security services, including updating rules and filters to maintain a strong security posture. Support infrastructure maintenance activities, including upgrades and vulnerability patches. Collaborate with vendors and PSTN partners to resolve issues, manage upgrades, and maintain service contracts. Process Improvement and Documentation: Contribute to the development and enforcement of Standard Operating Procedures (SOPs) for network and telephony operations. Identify opportunities for operational process improvements, supporting initiatives to enhance efficiency and service quality. Assist in maintaining up-to-date documentation, including network diagrams, telephony configurations, and standard operating procedures. Develop and deliver training materials and documentation for end-users on telephony and network systems. Education and Experience Requirements: Education: Bachelor's degree in Computer Science, Information Technology, Telecommunications, Engineering, or a related field; or equivalent work experience. Experience: 1-2 years of relevant work experience in computer networks, telephony, or related IT support roles. Exposure to enterprise office and data center environments is a plus. Certifications: Certifications such as ITIL, Cisco CCNA, CompTIA Network+, or similar are preferred but not required. Skills and Expertise: Workflow Automation: Identifying repetitive, rule-based tasks and leveraging AI to execute smart automations that save time and manual workload. Networking Technologies: Basic proficiency in configuring and managing network devices, including routers, switches, and firewalls. Familiarity with Cisco/Meraki, Cisco Catalyst, Cisco Nexus, and Palo Alto Networks is a plus. Telephony Systems: Foundational understanding of cloud-based telephony systems, including Cisco Webex Cloud and VoIP/SIP protocols. Experience with contact center platforms is a plus. Security: Knowledge of network and telephony security best practices, including compliance with security policies and industry regulations. Technical Proficiency: Familiarity with automation tools, GitHub, and CI/CD practices is beneficial. Troubleshooting: Strong problem-solving and analytical skills, with the ability to diagnose and resolve network and telephony issues efficiently. Personal Attributes: Team Player: Ability to work collaboratively with senior engineers, IT teams, vendors, and other stakeholders to achieve shared goals. Communication: Effective written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Customer Focus: A commitment to providing high-quality support and improving the user experience for both internal and external stakeholders. Detail-Oriented: Strong attention to detail, ensuring accuracy in configurations and documentation. Adaptability: Ability to adapt to new technologies and processes in a dynamic work environment. Additional Requirements: Continuous Learning: Commitment to staying current with industry trends and pursuing relevant certifications and training opportunities. Travel: Willingness to travel occasionally to support network or telephony installations and upgrades at remote locations. This role is ideal for a motivated individual looking to build a foundation in both network engineering and telecommunications, gaining hands-on experience across infrastructure, cloud connectivity, and enterprise telephony systems. Physical Requirements This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the associates. Duties, responsibilities, and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

We are seeking an experienced Principal or Senior Embedded Software Engineer to design and develop embedded software for space-based systems, including computer boards. This is a hands-on, on-site position focused on real-time, high-reliability applications.

Job Title: Lead LIMS Developer (Java & SAPIO LIMS) Overview / Summary We are seeking a Lead LIMS Developer to provide technical leadership for a new Laboratory Information Management System (LIMS) modernization initiative. During the first year, this position will primarily focus on the design and delivery of a new LIMS modernization program in its initial planning and discovery phase. The ideal candidate will bring strong thought leadership, strategic thinking, solution design expertise, and the ability to translate healthcare and laboratory operational needs into scalable technical solutions. This role will partner closely with laboratory operations, healthcare stakeholders, quality assurance, product owners, architects, and development teams to define the future-state LIMS environment. The Lead will guide technical design, establish development standards, evaluate solution options, conduct architecture and code reviews, and remain actively involved in hands-on development and problem resolution. Direct healthcare, laboratory, and LIMS experience is required. Key Responsibilities Lead the design, architecture, and implementation of SAPIO LIMS and/or LabVantage solutions. Translate laboratory and business requirements into scalable workflows, integrations, and data models. Design and optimize laboratory processes, including sample management, testing, results review, approvals, and exception handling. Architect integrations with laboratory instruments, healthcare systems, ELN, SDMS, CDS, and enterprise platforms. Develop and oversee APIs, microservices, custom configurations, business rules, and platform extensions. Establish technical standards, development best practices, and architecture governance. Conduct architecture reviews, code reviews, performance tuning, and technical quality assessments. Lead onshore and offshore engineering teams while mentoring developers and driving technical excellence. Ensure compliance with GxP, 21 CFR Part 11, ALCOA+, data integrity, security, and regulatory requirements. Support Computer System Validation (CSV) activities, including URS, FRS, Traceability, IQ/OQ/PQ, and audit readiness. Required Qualifications Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field. 8+ years of software engineering or enterprise application development experience. Extensive Java development experience with Spring and Spring Boot. Strong hands-on experience with SAPIO LIMS and/or LabVantage. Experience with Python (Flask, Django, or FastAPI). Proven experience leading LIMS implementations, upgrades, or modernization programs. Experience in healthcare, clinical laboratory, diagnostics, pharmaceutical, or biotechnology environments. Expertise in REST APIs, microservices, system integrations, and backend architecture. Experience with AWS and/or Azure cloud platforms. Strong knowledge of SQL/NoSQL databases, data modeling, and enterprise integration patterns. Experience with architecture reviews, troubleshooting, root-cause analysis, and performance optimization. Knowledge of CSV, regulated SDLC practices, GxP, 21 CFR Part 11, and ALCOA+. Excellent communication, stakeholder management, and leadership skills. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

Genesis10 is currently seeking a Principal Data Engineer - Remote for a contract position with a Leading Pharmacy Benefit Manager located in MN. This is a long-term contract opportunity. Compensation: W2: $110.00 - 130.00 per hour IC/C2C: $120.00 - 150.00 per hour Position Overview: Join a highly collaborative engineering team that is building next-generation cloud data platforms while embracing modern AI-assisted development. You'll work alongside exceptionally talented engineers who are solving complex, large-scale data challenges and helping shape the future of data engineering within the organization. We're looking for a technically exceptional engineer who combines deep hands-on expertise with the executive presence to influence technical direction, mentor peers, and build trust across engineering and business teams. The ideal candidate is equally comfortable architecting complex solutions, writing production code, and helping others succeed through thoughtful communication and leadership. Key Responsibilities: Design, develop, and support scalable cloud-native data platforms and real-time data pipelines Build and maintain ETL/ELT and streaming data pipelines using Apache Beam, Apache Airflow, Google Cloud Dataflow, Google Cloud Composer, Python, Java, and SQL Develop and support enterprise streaming solutions using Apache Kafka Design and optimize cloud-based data storage solutions using Google BigQuery and Google Cloud Storage Ensure technology solutions meet resiliency, scalability, security, operational readiness, and performance requirements Provide technical leadership, mentorship, and guidance to 10 junior and mid-level engineers Lead by example through hands-on software development while helping establish engineering standards and best practices Partner closely with Product Owners, Architecture, Infrastructure, and Security teams to design scalable enterprise solutions Own technology roadmaps, production support, monitoring, alerting, platform health, and long-term sustainability Champion Agile software development, DevOps, CI/CD, and modern engineering practices Translate complex business requirements into scalable technical solutions Participate in technical design discussions, architecture reviews, and code reviews Primary Requirements: Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related field, or equivalent experience High School Diploma or GED required 8+ years of experience in Data Engineering, Software Engineering, or Application Development Proven experience designing, building, and supporting enterprise cloud data platforms Recent, hands-on experience with Google Cloud Platform (GCP) including Google BigQuery, Google Cloud Storage, Cloud Composer, Dataflow, Dataplex, and Apache Beam Strong programming experience with Python and SQL Java experience preferred but not required Demonstrated interest in and practical use of modern AI-assisted software development tools (e.g., GitHub Copilot, Claude, ChatGPT, Vertex AI, or similar) through professional or personal projects, with a mindset of continuously exploring emerging technologies. Hands-on experience developing orchestration workflows using Apache Airflow and/or Cloud Composer Direct experience building production data pipelines using Apache Kafka (required) Experience with CI/CD, GitHub, and modern DevOps practices Proven ability to mentor engineers, influence technical direction, and lead without direct authority Ability to balance hands-on development with technical leadership responsibilities Experience working in Agile software development environment Desired Skills: Master's Degree in Computer Science, Engineering, Data Science, Statistics, or related field Google Cloud Platform certifications Demonstrated interest in and practical use of modern AI-assisted software development tools (e.g., GitHub Copilot, Claude, ChatGPT, Vertex AI, or similar) through professional or personal projects, with a mindset of continuously exploring emerging technologies. Side projects or professional experience leveraging AI to improve engineering productivity Experience with Google Dataplex and enterprise data governance Experience with Google Looker Studio and/or IBM Cognos Experience working within HIPAA, PCI, or other regulated environments Previous healthcare, PBM, or financial services experience Architecture and technical strategy experience Demonstrated "lead-by-example" leadership style Strong mentoring, coaching, and cross-functional collaboration skills Executive presence with the ability to influence teams through communication, patience, and technical credibility If you meet the qualifications described and are interested in this exciting opportunity, apply today! About Genesis10: Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20+ years. The opportunity to have a home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as the Best Company for Work-Life Balance, and as the Best Company for Career Growth, Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Principal Digital Signal Processing Systems Engineer Contract position 12-24 months Onsite/Hybrid 9/80 Scedule Clearance Active Clearance is preferred. Applicants selected for this position will be required to obtain and maintain a US government security clearance. As Principal Signal Processing System Engineer you will work directly with customers and program managers to create innovative, multidisciplinary technical solutions, for a broad range of highly-complicated mission needs. You will perform highly-competent analysis of the core system at a post-graduate level, consistently exhibiting good judgement for which problems must be solved, and which may be delegated or deferred. You will have hands-on engagement with prototype development, which may include software or firmware coding, test equipment operation and programming, integration and validation, and field tests and customer demonstrations. As a leader in the signal processing organization your advice will be sought for business development, IR&D strategy, hiring strategy and execution, and university engagements. Due to the nature of our customers missions, this position is necessarily performed onsite in our recently-renovated Cambridge facility and laboratories. Typical candidates have ten years of relevant experience beyond the doctorate, or 15 years of relevant experience post master's degree. Aligned with our goal of developing long-term relationships with key staff, we offer the best benefits package and retirement plan in our industry. Duties/Responsibilities Independently drives solutions to complex problems develops requirements, proposes ways forward when customer requirements are unclear or incomplete, and adapts appropriately to changes in requirements. Able to analyze Client strategy and work with management to build capabilities in key areas to help sustain business growth. Capable of helping customers shape their needs and develop requirements for programs that solve their most challenging technical problems. Focuses on advancing State of the Art (SOA) solutions and techniques in their field. Contributes to capability expansion, talent acquisition and mentoring graduate students. Assembles and delivers customer presentations that inspire a high degree of confidence in Client and our work. Able to provide insights and suggest design modifications based on analysis outcomes, and to apply analysis techniques across a range of technical disciplines. Identifies program/system-level technical risks and develops and executes mitigation strategies for them. Develops, documents, and teaches best practices to less experienced engineers. Demonstrates strong organization, planning, and time management skills to achieve program goals. Ability to lead cross-functional teams. Supports business development activities including leading the development of proposals and engaging with sponsors. Performs other related duties as assigned. Skills/Abilities Knowledge of RF systems and architecture. Knowledge of fundamentals of electrical engineering. Skills with RF and Communications software tools. Hands-on experience with instrumentation for RF measurements. Strong problem-solving skills. Excellent verbal and written communication skills and ability and willingness to work in highly collaborative team environment. Excellent management and organizational skills: proven ability to meet deadlines, task prioritization and attention to details. Education Requires bachelor's degree in electrical engineering or related field. Advanced degree preferred. Experience Requires 10+ years experience in Radio Frequency or Communications Engineering or related field.

Principal Software Engineer Location: Remote (within the US) Employment Type: Contract (6 Months) with potential contract extensions Pay Rate: $100 to $115 per hour (W2) Industry: Global Medical Technology & Manufacturing Note: No Corp-to-Corp (C2C) or visa transfer. No visa sponsorship. Only open to W2 employment. Job Description As a Principal Engineer, you will lead the development of a digital twin environment for advanced Robotics and Enabling Technology applications. This work includes migrating the existing Mako OR simulator to NVIDIA Isaac Sim and expanding the simulation environment to support operating room (OR) layout optimization, robotic system simulation, sensor simulation, and future AI model development for intra-operative use cases. You will collaborate closely with clinical application, robotics, and software engineering teams to establish a representative simulation environment for the Mako robotic system and related OR components, creating the technical foundation for simulation-based evaluation, workflow studies, and AI model training. This is a highly specialized individual contributor role requiring deep technical expertise and recognized leadership within a specialized engineering discipline. The ideal candidate brings extensive experience in their field, along with an advanced degree or equivalent combination of education and experience. As a technical expert, you will apply in-depth knowledge to solve complex engineering challenges, exercise sound analytical and evaluative judgment, and make informed decisions in situations involving both quantitative and qualitative information. Success in this role requires the ability to assess, prioritize, analyze, and validate complex and evolving technical problems while contributing to innovative solutions. Candidates should possess a bachelor's degree or equivalent experience and typically have 8+ years of relevant professional experience. Typical Day-to-Day Participate in daily standup / progress reporting meetings Work independently on assigned tasks Work with stakeholders to resolve issues and blockers Present on milestone achievements Responsibilities Migrate the assets from the existing OR simulator to Isaac Sim using its import and scene definition capabilities, including the robot, the operating table, sawbone and tracking instrument models. Set up an articulation controller to control joint positions of the robot. Connect the simulation to ROS2 to use already existing functionality for controlling the robot. Evaluate the use of Isaac Sim for OR layout optimization and implement or extend missing features needed to support basic layout, access, collision, and workflow studies. Develop a physics model for tool-tissue interaction to accurately model bone resection and tissue manipulation. Integrate a variety of sensor models into the simulation. Desired Qualifications Candidates should possess a bachelor's degree or equivalent experience and typically have 8+ years of relevant professional experience. Solid background with Python programming in a Linux environment. Experience with robotics hardware development and CAD modeling. Exposure to simulation tools (e.g., Gazebo, Webots, Unity, MATLAB/Simulink, NVIDIA Isaac Sim). Experience with physics modeling and simulation. Experience with Omniverse and USD workflows preferred. Experience with articulated robot simulation preferred. Experience with edge computing preferred. Robotics controls background and working knowledge of ROS2 preferred. Additional Information This is a newly created position supporting the development of foundational technologies for future robotics and AI capabilities. You'll join a collaborative team of approximately 8 engineers focused on robotics simulation and software development. This is an individual contributor role with no direct reports or people management responsibilities. The position is primarily engineering-focused with collaboration across internal cross-functional teams and does not involve direct interaction with external clients or customers.

Lead Software Engineer, Oracle EPM Principal Duties and Responsibilities The Lead Software Engineer will be responsible for the implementation, development, and support of Oracle EPM module technology solutions within Lennar Corporation. This role requires strong software development expertise, problem-solving abilities, and excellent interpersonal skills to deliver impactful solutions and provide a positive experience for end users. Your Responsibilities on the Team Manage and Support Oracle Enterprise Performance Management Applications. Develops individual modules and functions as identified through technical design. Develops conversion and implementation plans and ensures successful implementation of EPM system changes, monitoring changes for increased efficiency. Execute unit, performance, acceptance tests to solutions to ensure they meet quality standards. Prepare and present updates and other presentation materials to internal teams, client teams and executive leadership. Administer Oracle EPM Applications Monthly/Quarterly close process. Build and manage data integrations using Data Management / Data Integration tools Designs EPBCS web forms, business rules and financial reports. Advise clients on best practices in planning, budgeting, and forecasting. Understands and translates a client's business, informational and process needs into solid EPM solutions. Ensure data governance and master data consistency using EDMCS Utilize Microsoft Office (Word, Excel, PowerPoint) Provide assistance and uses troubleshooting for bug fixes, enhancements, and "how-to" assistance in various EPM Modules enhancements. Identify and implement process improvements to support more efficient financial analysis. Works with Solution Architects and Project Owners to define right solution for the problems. Your Toolbox: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience). 8+ years of experience with business processes around and implementing the following Oracle EPM Cloud modules: Oracle Planning and Budgeting Cloud Service (PBCS/EPBCS), EDMCS (Enterprise Data Management Cloud Services) , Narrative Reporting and FCCS(Financial Consolidation and Cloud Service). End-to-end lifecycle development and implementation experience including requirements gathering, configuration, design, build, test, and go-live phases. Have experience with any of the other EPM Cloud modules - PCMCS and ARCS. Strong technical background with hands-on experience in application build using PBCS/EPBCS; integrations with data management to build metadata and data loads; security setup; and report writing. Extensive experience in developing the calculation scripts and groovy scripts. Experience creating EPM Automate scripts, building REST API scripts. Ability to leverage best practices from previous architecture and implementation experience and work on constant support and continuous improvement skills in Hyperion application environment. Strong functional knowledge around financial systems, processes, and financial reporting practices Ability to advise users on best practices in planning, budgeting, and forecasting. Ability to prepare and present updates and other presentation materials to internal teams, client teams and executive leadership. Skilled in administration of current state EPBCS environment in support of rolling budget / forecast models. Able to provide end-user training, report writing and application support. High level of competency with reporting, ETL, and SQL queries, preferably in Narrative Reporting, Hyperion Financial Reporting Studio and Hyperion Essbase running on Oracle 9i/10g/11i and SQL Server Experience developing in waterfall, hybrid, or agile environment. Ability to quickly grasp complex technical and business concepts. Knowledge of IBM Showcase Warehouse Builder Sets, FDMEE and DRM Oracle tools. Additional Skills: Diligent; acts promptly. Interactive; maintains effective working relationships, supporting company leadership and team. Readily embraces change. Maintains a supportive and collaborative teamwork environment; encourages teamwork in others. Engages with others and works with integrity and ethically; upholds organizational values. Sensitive and responsive to internal and external needs; maintains a positive attitude, willing to seek solutions. Demonstrates operational awareness in problem solving. Understands the company's philosophy on diversity in the workplace. Self-motivated with the ability to work independently as well as part of a team. Trains less senior associates on defined procedures and standards Must be flexible and readily adapt to changing priorities/tasks. Ability to work under pressure, maintains composure and professionalism in a developing environment. Demonstrates effective communication skills. Demonstrates an understanding of the links between business drivers and IT processes. Begins to learn the market and major competitors. Physical Requirements: This is primarily a sedentary office position which requires the incumbent to have the ability to operate computer equipment, speak, hear, bend, stoop, reach, lift, and move and carry up to 25 lbs. Finger dexterity is necessary. 10-20% of travel is required. This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyone's Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennar's policies and applicable plan terms. Visit to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview LinkedIn for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

DCS Corp has an exciting opportunity for a position providing GEOINT Systems Engineer Support - Imaging and Targeting Support (I&TS) to the Air Force Life Cycle Management Center/PEO Intelligence, Surveillance, and Reconnaissance / Special Operation Forces (ISR/SOF) Directorate (AFLCMC/WI). This position will support the AFLCMC/WIN ISR Sensors Division. Essential Job Functions: The Candidate will provide support to Imaging and Targeting Support (I&TS) including airborne ISR engineering responsibility for performing analysis and making recommendations for the Next Generation U-2 Electro-Optical/Hyperspectral Sensor. The Candidate will assist with defining system specifications, input/output processes, parameters to meet business requirements, and hardware/software compatibility. The Candidate will assist in developing and leading technical projects. The Candidate will assist with fact-finding and research as required for the project. The Candidate will assist with designing test and evaluation requirements based on research and analysis. The Candidate will assist with establishing and recommending changes to the program which affect performance and advise the Government team and management on matters concerning hardware, software, and future upgrades. The Candidate will assist with reviewing system interface documentation and technical specifications for AFLCMC/WIN. The Candidate will interface with all levels of management and personnel and provide acquisition technical and management expertise with a strong background in planning, organizing, and coordinating various types of programs. The Candidate will assist with executing engineering design on various systems to include requirements definition and design evaluation. The Candidate will assist with integrating technology with operational requirements to improve weapons system capability and supportability. The Candidate will assist with test planning, data analysis and technical reporting. The Candidate will apply the principles, criteria, and procedures of the DoD to include DoD 5000.01 and DoD 5000.02 as well as the policies and processes of USAF, HQ AFMC, AFLCMC Engineering Directorate, ISR & SOF Directorate and Division level to all AFLCMC/WIN engineering tasks. The Candidate will perform data gathering, data entry, and data analysis, as well as apply knowledge of the acquisition process. The Candidate will provide operationally relevant GEOINT engineering services to assist with technology development activities that identify, analyze, evaluate, test, and implement new capabilities for potential incorporation into the intelligence collection architecture. The Candidate will assist with integrating preplanned improvements or follow-on capabilities to candidate sensors for existing or emerging platforms and sensor data with current exploitation elements as required to execute the T&E mission, to include but not limited to the following activities: I&TS, Reduction of Data Using Compression Enhancements (RDUCE), Synthetic Aperture Radar (SAR), as well as other emerging next generation imaging sensor development programs managed by AFLCMC/WIN such as those under the High Altitude Long Range GEOINT Capabilities (HALRGC) study, Laser Radar/Light Detection and Ranging (LADAR/LIDAR) study, and Hyperspectral Imaging, and EO/IR sensor designs. Engineering services will be provided with commensurate expertise in GEOINT technology areas, DoD acquisition, and system engineering processes. The Candidate will assist in translating DoD user requirements into system requirements which will be used by the weapon system contractor to design, develop, fabricate, test, and evaluate systems, subsystems, and equipment for deployment. The Candidate will assist in performing technical/mission analyses of operational requirements, assist in developing system concepts, and perform technological/trade-off study assessments of proposed designs. The Candidate will assist in reviewing the overall system design baseline (architecture and interoperability requirements). The Candidate will assist in the areas of integrated subsystem controls, environmental control, thermal management, auxiliary and emergency power, mechanical systems, and fire/overheat protection systems. The Candidate will assist with processes for drafting project documentation, including SOOs and SOWs, program plans, schedules, and presentations. The Candidate will assist in drafting documentation required by regulations and statues, to include but not limited to the SEP and LCSP. The Candidate will assist with reviewing documents and data and providing comments. The Candidate will assist test teams in the development of test requirements and reviewing test plans. The Candidate will assist in reviewing and analyzing technical proposals or modifications for cost, design feasibility and system compatibility. The Candidate will assist in reviewing specifications, including system, system segment, and equipment specifications, and ICDs submitted by the weapon system contractor or other DoD agencies involved in the program. The Candidate will assist in supporting and conducting engineering performance, effectiveness, cost effectiveness, cost performance, life-cycle cost, producibility, maintainability, supportability, reliability, technical/schedule risk assessment, and scheduling trade-off studies. The Candidate will assist in the support and conduct of systems analyses to include system design/design feasibility and state-of-the-art assessment. The Candidate will assist in supporting the evaluation of IMP, IMS, and SEDS engineering cost estimates. The Candidate will assist in the evaluation of systems test plans (such as systems test plans/test and evaluation master plans) and participate in the conduct of system, subsystem, and component testing. The Candidate will provide systems/subsystems integration support for the acquisition, development, and verification of systems and equipment. The Candidate will assist in the development of integration plans, interface management and control plans, and integration test plans. The Candidate will assist in conducting analyses and trade studies to define interface requirements, establishing cost effective interface design solutions, and resolving interface problems. This support will include assisting in the review of ICDs, participation on appropriate ICWG activities, tracking status of ICD development and problem resolution. The Candidate will assist in review of integration test plans, procedures, and data. The Candidate will assist in special studies to define alternative interface/integration approaches. The Candidate will assist in DoD and Air Force system-of-systems acquisition engineering processes. The Candidate will assist in sensor development and integration on manned or unmanned air vehicles. The Candidate will assist in areas such as integrated subsystem controls, avionics, communications/data link integration, and electrical power integration. The Candidate will assist in producing architectures which assess the user needs, document the planned and existing systems intended to meet the needs, determine deficiencies, develop alternative solutions, and recommend a solution to meet the deficiencies. The Candidate will assist in developing a plan to implement the chosen solution. These architectures could cover a command's need, such as, GEOINT systems for an advanced aircraft, system architecture need for a multi-user GEOINT systems or GEOINT mission sub-area architectures for strategic, tactical, and support communication systems. The Candidate will assist in engineering support including defining GEOINT system and subsystem requirements, system analysis, integration, test, and evaluation activities and identifying potential related projects to GEOINT programs. The Candidate will assist in the technical and management aspects of GEOINT requirements. Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. A Master's or Doctorate Degree in a related field and at least 20 years of experience, 12 years of which must be in the DoW/DoD; Bachelor's degree and 25 years of experience in the respective technical/professional discipline being performed, 15 years of which must be in the DoW/DoD; or 30 years directly related experience, 20 years of which must be in the DoW/DoD. The candidate's Bachelor's degree in Engineering is required to be from an ABET accredited program. An adjudicated DoD Top Secret/SCI Security clearance on the First Day of employment. This is a Principal level position. The candidate must possess expert knowledge, experience, and recognized ability to be considered an industry leader in their technical / professional field. Typically performs the following kinds of functions: initiates, oversees, and/or develops requirements from a project's inception to conclusion for complex to extremely complex programs; provides strategic advice, technical guidance, and expertise to program and project staff; provides detailed analyses, evaluations, and recommendations for improvements, optimization development, and/or maintenance efforts for client-specific or mission critical challenges/issues; consults with client to define needs or problems; oversees studies; and leads surveys to collect and analyze data to provide advice and recommend solutions. Possesses the ability to perform tasks and oversee the efforts of junior, journeyman, and senior contractor personnel within and across multiple technical / professional disciplines. (Program Office, Enterprise, Staff and Executive Level Support interface).