Vector Security Careers Remote Jobs in Usa

Are you passionate about Generative AI and want to apply it to one of the most impactful domains — cybersecurity?

Join our cutting-edge startup in the San Francisco Bay Area, where we are developing AI systems that transform how organizations understand, detect, and respond to cyber threats.

As an Applied AI Scientist, you’ll bridge AI research and real-world cybersecurity use cases — designing, implementing, and optimizing models that extract, reason, and act on complex security data.

You’ll work closely with cybersecurity experts, AI infrastructure engineers, and stakeholders to build end-to-end GenAI solutions: from concept to deployment.

This role blends deep applied research with practical engineering, ideal for someone eager to push the limits of Generative AI for meaningful impact.

Why Join Us:

• $25M Seed Funding: Strong capital foundation to innovate and scale fast.
• Early Success: Trusted by Fortune 500 companies, validating real-world demand.
• Experienced Leadership: Founders with 25+ years in cybersecurity — previous ventures valued at $3B+.
• Elite AI Leadership: Heads of AI, Engineering, and Product from world-class tech companies.
• Advanced AI Stack: LLMs, embeddings, RAG systems, LangGraph orchestration, and multimodal AI.
• Competitive Compensation: Excellent salary, meaningful equity, and room for technical leadership growth.
• Cybersecurity Knowledge Preferred but Not Required: We’ll teach you the domain — you bring the AI innovation.

Key Responsibilities:

Core Applied AI Research

• Collaborate with cybersecurity researchers and stakeholders to scope AI-driven solutions to security problems (e.g., vulnerability management, code analysis, threat detection).
• Conduct applied research using the latest LLMs and embedding models (Claude, Google GenAI, Unsloth, vLLM).
• Prototype, fine-tune, and evaluate GenAI and RAG/CAG architectures for classification, summarization, reasoning, and context synthesis.
• Perform embedding-level optimization for text, code, and image data using Unsloth, Hugging Face, Voyage, or similar frameworks.

System Development & Integration

• Develop and test end-to-end AI pipelines integrating Milvus or Pinecone for semantic retrieval.
• Build agentic AI systems using LangGraph or similar frameworks to enable autonomous reasoning and task chaining.
• Collaborate with MLOps engineers to deploy and monitor AI models in production securely and efficiently.
• Contribute to synthetic data generation pipelines for fine-tuning and evaluation.

Evaluation & Optimization

• Implement evaluation frameworks using DeepEval and GenAI tools (Claude / Google GenAI) for factuality, reliability, and robustness.
• Optimize model performance across latency, accuracy, and cost using vLLM, quantization, or caching strategies.
• Maintain reproducible experiment tracking with MLflow, Weights & Biases, or internal tools.

Innovation & Leadership

• Stay ahead of GenAI trends — multi-modal reasoning, agentic orchestration, embedding adaptation.
• Explore hybrid LLM deployment strategies (local Unsloth/vLLM + cloud APIs like Claude, Google GenAI).
• Document best practices, share learnings, and mentor junior scientists on applied GenAI workflows.

Qualifications:

Required

• 4+ years in Applied AI / Machine Learning Research / Data Science.
• Strong understanding of LLMs, embeddings, RAG systems, and multimodal learning.
• Proficiency in Python and frameworks like PyTorch, Transformers, Hugging Face, or LangChain.
• Experience in prompt engineering, model evaluation, and retrieval-based reasoning.
• Hands-on experience with vector databases (Milvus / Pinecone) and orchestration frameworks (LangGraph / LangChain).
• Strong communication skills and ability to collaborate across research and engineering functions.

Preferred

• Experience with fine-tuning LLMs or embeddings using Unsloth or similar frameworks.
• Familiarity with Claude / Google GenAI APIs for cloud-based inference and evaluation.
• Exposure to cybersecurity or enterprise data (CVEs, pluginText, network or asset logs).
• Prior work on synthetic data generation and evaluation frameworks (DeepEval).
• Experience in a fast-paced startup or applied research environment.

Our Culture & Team

• Collaborative and Mission-Driven: Every project directly advances global cybersecurity.

• World-Class Mentorship: Work with senior experts from top AI and security companies.

• Growth-Oriented: Opportunities to lead GenAI initiatives and own major research tracks.

• Inclusive and Innovative: We value diverse perspectives and open experimentation.

Perks & Benefits

• Comprehensive medical, dental, and vision coverage.
• Wellness and professional development stipends.
• Equity options — your impact equals ownership.
• Access to state-of-the-art GPUs, APIs, and GenAI frameworks.

Hi

I hope you’re doing well.

My name is Sai, and I’m an Account Manager with Astir IT Solutions. We are currently working with our client on a senior-level opportunity for AWS Generative AI Architect at Alameda, CA (Locals) .

Based on your background, I believe this role could be a strong fit.

Job Title: AWS Generative AI Architect

Location: Alameda, CA (Locals)

Experience: 10+ years

Position type: Contract W2/C2C

Job Description:

• B.E/B.Tech Graduate in the field of Technology
• Experience Range
• 14 Years
• Primary (Must have skills)* - To be Screened by TA Team
• 5+ years of Strong experience in AWS which should include below services

Skills:

• AWS Lambda
• Amazon EC2
• Amazon ECS / EKS
• Amazon S3
• Amazon RDS / Aurora
• Amazon DynamoDB
• Amazon API Gateway
• AWS Step Functions
• Amazon OpenSearch
• Amazon Bedrock
• AWS IAM
• AWS CloudFormation / Terraform
• Amazon CloudWatch
• Experience with serverless and microservices-based architectures.
• Multi-region deployment and high-availability design.
• Cost optimization and performance tuning.

Job Description:

• Experience working with LLMs and GenAI platforms (e.g., OpenAI, Anthropic, open-source LLMs).
• Hands-on with Amazon Bedrock and managed AI services.
• RAG (Retrieval-Augmented Generation) architecture design.
• Vector databases (e.g., OpenSearch, Pinecone, FAISS).
• Prompt engineering and evaluation frameworks.
• AI model integration into enterprise applications.
• Understanding of AI security, guardrails, and compliance.
• Job Description of Role* (RNR) - To be Evaluated by Technical Panel (Define it to give more clarity)
• Design end-to-end cloud-native architectures on AWS aligned with business and technical requirements.
• Architect and implement Generative AI solutions using LLMs, RAG pipelines, and AI orchestration frameworks.
• Lead technical design discussions and produce high- and low-level architecture documentation.
• Define best practices for scalability, security, reliability, and cost optimization.
• Design multi-account AWS environments using Well-Architected principles.
• Integrate AI services into enterprise systems and microservices architectures.
• Provide technical leadership and mentorship to engineering teams.
• Establish governance, data security, and responsible AI practices.
• Evaluate emerging GenAI technologies and recommend appropriate solutions.
• Collaborate with stakeholders, product managers, and DevOps teams to deliver robust solutions.
• Soft skills/other skills - To be Evaluated by Hiring Manager (To define how this will be evaluated)
• Strong collaboration and communication skills to work effectively with diverse teams and stakeholders.
• Expected Outcome
• We are seeking an experienced Technical Architect with deep expertise in AWS cloud architecture and Generative AI (GenAI) solutions.
• The ideal candidate will design and lead the implementation of scalable, secure, and production-grade cloud architectures while integrating advanced GenAI capabilities such as LLM-powered applications, RAG systems, and AI-driven automation.
• This role requires strong architectural vision, hands-on AWS experience, and a solid understanding of modern AI ecosystems.

If you are currently open to new opportunities, I would appreciate the chance to connect and discuss this role in more detail. Please let me know a convenient time for a quick call, or feel free to share your updated resume.

Looking forward to hearing from you.

Thanks & Regards.

Sai

Sr. Account Manager

Astir IT Solutions, Inc.

ID: , Contact: 732-694-6000 * 795

Company Description

Closai's open infrastructure connects personal purchase history to the retail ecosystem, enabling a new era of commerce. Our proprietary Closetization™ system understands what consumers already own and uses that intelligence to power personalized shopping, agentic commerce, and next-generation retail infrastructure. We operate at the intersection of AI, data infrastructure, and commerce. Closai is focused on revolutionizing the way individuals and businesses connect and utilize their assets.

Closai is an early-stage start-up with accelerator backing, pilots in development, and a live product. Check out the app here - Description

We’re looking for a full-time Technical Cofounder or Founding CTO to own Closai’s technical architecture end-to-end and help define the standard for order intelligence. This is a hands-on role. You’ll architect, code, and ship alongside the founder, while shaping the long-term technical vision of the company.

Compensation: Meaningful cofounder-level equity and long-term upside.

What You'll Own:

• Core backend architecture (APIs, data models, security)
• Purchase history intelligence pipelines (ingestion, normalization, enrichment)
• Universal infrastructure enabling third-party integrations
• AI-powered search, recommendations, and agent workflow
• Scalability, reliability, and data privacy foundations
• Technical roadmap aligned with enterprise SaaS and platform monetization

Technical Skills:

• Backend & Infrastructure - Python (preferred) or Node.js - REST and/or GraphQL APIs - PostgreSQL or similar relational databases - Cloud infrastructure (AWS or GCP) - Authentication & authorization (OAuth, JWT, scoped access)
• Data & AI - ETL and data pipeline design - Experience with embeddings, vector databases, or semantic search - Working with LLMs or ML systems in production - Schema design for messy, real-world data - Enterprise-ready pipelines and APIs
• Product Engineering - Shipping consumer and enterprise-facing products - Performance, reliability, and security mindset - Strong intuition for user experience (DX) - Enterprise

Other Qualifications

• Strong Analytical and Research skills to solve complex technical and strategic problems.
• Excellent Communication skills to collaborate with cross-functional teams and stakeholders.
• Ability to lead and manage technical projects with attention to detail and deadlines.
• Strong adaptability and self-motivation in a fast-paced startup environment.
• Previous experience in a technical or cofounder/leadership role is a plus.
• Previous experience with commerce or retail is a plus.

SteerBridge Strategies is a modern technology company delivering innovative, mission‐focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial‐grade capabilities that accelerate operational effectiveness and drive measurable mission success.

At the core of SteerBridge is our people—especially the veterans whose leadership, problem‐solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve.

SteerBridge is looking for a Data Scientist to evaluate multi-dimensional USMC C130 global supply

chain and operational data to construct and maintain predictive models. Candidates must be

familiar with multiple types of data models including, but not limited to, generalized linear

and multilinear regression, logistic and multinomial regression, and time series analysis.

Candidates must have hand-on experience with supervised (classification, regression)

and unsupervised learning (clustering, dimension reduction).

Qualifications

• Must be a U.S. Citizen.
• MSc or PhD degree in applied mathematics, statistics, or relevant work experience.
• An active security clearance or the ability to obtain one is required.
• Collaborate with various stakeholders to understand requirements and translate those requirements into data science solutions.
• Provide guidance on best practices and industry standards across data science and analytics, data visualization, and share expertise to improve technical capabilities of the team.
• Design, develop, and integrate templates, data, and models for repeatability.
• Develop and implement data quality assurance and management protocols.
• Create, maintain, and organize technical documentation for all data collection, cleaning, and analyses.

Required and Preferred Skillsets

• Must be familiar with multiple types of data models including, but not limited to, generalized linear and multilinear regression, logistic and multinomial regression, and time series analysis.
• Must have hand-on experience with supervised (classification, regression) and unsupervised learning (clustering, dimension reduction).
• 7+ years of experience evaluating relationships in data using statistical modeling and leveraging analytics tools.
• 7+ years of experience in advanced Classification and Regression modeling.
• 7+ years of professional proficiency using R, or Python for data wrangling and model building.
• Experience in SQL or Spark SQL, and basic database design.
• Cloud project work using Google, AWS and/or Azure.
• Demonstrated high proficiency in statistical analysis and data visualization.
• Demonstrated high proficiency in data wrangling and documentation.
• Solid technical skills across a wide variety of tools and data platforms.
• Able to successfully prioritize and manage multiple project tasks simultaneously and complete them in a timely manner with a high degree of accuracy.
• Strong record of applied data analysis.
• Excellent writing and presentation skills with a successful track record of communicating complex concepts to diverse audiences.
• Aviation Background Required!
• Preferred:
• (Highly preferred) AWS or Google Cloud Professional or Specialty Certification or ability to obtain certification.
• Top Secret security clearance.
• Experience with supply chain management data systems and technology is desirable (e.g., ERP, Transportation Management and Warehouse Management systems).
• Experience supporting DoD and/or VA missions.
• Proficiency in integrating and interfacing with software development processes.
• Consulting experience.
• RAG, Embedding, Vector DB, hugging face transformer, BERT, BART, LLMs

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life Insurance
• 401(k) Retirement Plan with matching
• Paid Time Off
• Paid Federal Holidays

About the Role

Our Decision Intelligence (DI) team is seeking a Senior / Lead Data Architect to drive enterprise data strategy and accelerate AI‑enabled transformation across McKesson. DI plays a critical role in enabling data‑driven change and delivering measurable business value through high‑quality data, advanced analytics, and intelligent automation.

This role will define and evolve the enterprise‑wide data and semantic architecture required to support AI‑driven insights, agentic automation, and next‑generation data products. The ideal candidate is a strategic thought partner, a hands‑on architect, and a leader capable of translating business outcomes into scalable technical solutions.

Responsibilities

Data Architecture Leadership

• Architect canonical data domains across customer, product, pricing, supply chain, contracting, and financial performance.
• Design semantic layers, business ontologies, subject‑area models, and metric definition frameworks to power enterprise AI agents and decisioning systems.
• Define architectural principles for data interoperability, lineage, access control, security, and multi‑cloud integration.
• Align data platform and architecture decisions with the USPD AI Roadmap and enterprise AI strategy.

Establish standards and patterns for:

• RAG pipelines
• Vector search
• Metadata-driven orchestration
• Multi-modal ingestion (text, events, real-time signals)

Provide architectural oversight and strategic guidance across enterprise data products including:

• Finance, Pricing, and Supply Chain Data Products
• FIA
• ContractIQ
• Specialty Leakage Agents
• Design a robust, scalable, and interoperable data environment that supports AI-ready, governed, high-quality enterprise data.
• Influence programs and project teams on best practices related to data quality, architecture, modeling, observability, and governance.
• Leverage data architecture frameworks to translate complex relational entities into business cases, use cases, and AI-enablement requirements.
• Partner with product, engineering, and analytics leaders to accelerate data product creation and improve enterprise decision intelligence maturity.

Advanced Data System Design

• Architect complex distributed data systems that ensure scalability, performance, reliability, and real-time integration across business-critical operations.
• Design and govern enterprise-wide data models, data flows, reference architectures, and integration patterns.

Produce high-quality data design deliverables including:

• Data models
• Entity relationship diagrams (ERDs)
• Data flow diagrams
• System interface schemas
• Comprehensive data dictionaries and metadata documentation
• Ensure optimal functioning of AI/ML pipelines, including data quality controls, observability patterns, and architecture for low-latency analytics.
• Guide engineering teams on reusable patterns for ingestion, transformation, curation, semantic enrichment, and operationalization.

Minimum Qualifications

• 7+ years of experience in data engineering, data architecture, or enterprise data platform development.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.

Required Skills

• 7+ years designing enterprise data architecture across large, complex organizations.
• Demonstrated experience with Enterprise data modeling, semantic layers, canonical domains
• Large-scale integration across heterogeneous systems
• Databricks, Snowflake, MDM platforms, SAP, Salesforce/Conga
• Designing intuitive architectural patterns to simplify complex data landscapes.
• Strong understanding of data quality frameworks, governance, lineage, metadata, and regulatory compliance.

Leadership Skills

• Ownership-driven leader with a track record of guiding engineering teams through delivery.
• Acts as a change champion, elevating architecture maturity and influencing cross-functional adoption of best practices.

Strategic Thinking

• Strong analytical capability and the ability to develop long-term data strategies aligned to enterprise objectives and future-state AI readiness.

Problem Solving

• Creative, innovative problem solver capable of architecting solutions for highly complex data and AI challenges.

HCLTech is looking for a highly talented and self- motivated Principal AI Architect to join it in advancing the technological world through innovation and creativity

Title: AI Architect

Location Santa Clara (USA)

As an AI Architect, you will guide the strategy and delivery for interoperable, compliant, and economically viable modern AI solutions. You will architectures across a Hybrid AI landscape, blending Frontier Models (Azure OpenAI/Gemini) with Cost-Efficient Small Language Models (SLMs) and Edge Inference.

You will craft solutions based on advanced AI technologies from OpenAI, NVIDIA, Google, , Microsoft and AWS. This role has a focus on enabling advanced Agentic AI solutions that transform core business functions and enable the future hybrid workforce.

Working at the highest levels, you will engage AI, Technology and Business leaders in the world’s most successful organizations. You will lead architectural design, establish best practices, for our most complex AI initiatives.

This role requires a combination of deep hands-on technical expertise in advanced AI with strategic business acumen, serving as both a technical authority and a trusted advisor to clients

Key Responsibilities

What you’ll do

Multi-Agent Architecture Patterns: Define and govern reference architecture for multi-agent systems, covering hierarchical, peer-to-peer, and sequential (ReAct) orchestration models. Guide teams on pattern selection based on client use cases.

Memory System Design: Architect the standards for integrated memory systems, including short-term session state, long-term knowledge via vector databases and knowledge graphs, and episodic/audit memory. Ensure coherent retrieval strategies across layers.

Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Define architectural patterns for end-to-end RAG pipelines, including chunking, embedding, vector search (e.g., Azure Cognitive Search, pgvector), and reranking. Ensure designs include standards for lineage, observability, and evaluation (e.g., RAGAS).

Cross-Cloud & Vendor Integration: Create and maintain decision frameworks for platform selection (e.g., Copilot Studio for Teams integration, Vertex AI for GCP workloads). Advise clients on balancing vendor lock-in risks with integration benefits.

GenAIOps & Observability: Define the architectural standards for GenAIOps, including CI/CD, IaC, and observability. Establish standard metrics to track agent decision traces, latency, token consumption, hallucination, and cost.

Safety, Security & Governance: Architect enterprise-wide guardrails for safety (hallucination mitigation), security (prompt injection defense, PII masking), and fairness (bias detection). Apply governance frameworks (NIST AI RMF, ISO 42001) and design human-in-the-loop (HITL) workflows.

Enterprise Integration & Scalability: Architect scalable integration patterns for agentic systems with enterprise platforms (Microsoft Entra ID, Teams, Dynamics/Salesforce, ERPs) and compute (Kubernetes). Ensure patterns address security, data residency, and compliance.

Technical Leadership & Client Advisory: Combine technical architecture with strategic guidance. Lead C-level workshops on Agentic AI adoption, advise on roadmaps, and shape technology strategy. Mentor other architects and contribute to industry thought leadership.

Thought leadership and public speaking: Present at industry events and publish articles that advance the AI industry.

Core Qualifications (The Bar)

•Enterprise Experience: 8–10+ years in technical leadership, with a strong background in both software engineering and enterprise-scale cloud architecture.

•Cloud Expertise: Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other.

•GenAI & LLM Depth: Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock).

•RAG & Orchestration: Proven experience designing complex RAG pipelines.

•Model Fine-tuning: Experience with instruction tuning or fine-tuning strategies for LLMs.

•Leadership & Advisory Skills: Exceptional communication skills with demonstrated experience advising senior stakeholders (Director/C-Level) on technical strategy, roadmaps, and governance

Desired Skills & Experience

• Multi-Agent Systems: Deep understanding of, and experience designing or prototyping, advanced multi-agent systems (e.g., task decomposition, collaborative agents).
• Multi-Cloud Experience: hands-on architectural expertise across all three major clouds (Azure, AWS, GCP).
• GenAI Ops & Governance: Hands-on experience with GenAI Ops tooling. Familiarity with AI governance frameworks (NIST AI RMF, ISO 42001) and their practical application. And AI FinOps & Model Routing
• Framework Expertise: Hands-on development experience with one or more orchestration frameworks (e.g., LangChain, LlamaIndex, Semantic Kernel).
• Thought Leadership & Open Source: Published work (whitepapers, patents), conference speaking engagements, or active contributions to relevant open-source projects.
• Certifications: Professional-level cloud certifications (e.g., Azure Solutions Architect Expert, AWS Solutions Architect Professional, GCP Professional Cloud Architect).

Compensation & Benefits

HCLTech offers a highly competitive compensation package for this role, commensurate with experience. This includes a base salary, performance-based bonus, and comprehensive benefits. A specific salary band will be discussed with qualified candidates during the initial screening process.

Scope by Level

Senior Architect: Own end-to-end architecture for 1–3 programs/accounts. Lead technical architecture reviews and decision-making on agentic design patterns. Mentor senior engineers and emerging

Architects. Drive thought leadership through internal documentation and architecture governance. Represent HCLTech in client C-level conversations for assigned accounts.

Principal Architect: Portfolio-level ownership across multiple clients and programs. Define enterprise strategy for agentic AI adoption—roadmaps, best practices, architectural standards, and governance frameworks. Influence global partner strategies (Microsoft, Google, AWS) and contribute to HCLTech’ s overall AI/Cloud roadmap. Represent HCLTech as a recognized industry leader through conference speaking, published research, and advisory board participation. Mentor other architects and shape hiring/capability building for the AI architecture practice.

Soft Skills & Behavioural Competencies

We are looking for professionals who combine deep technical expertise with strong interpersonal and leadership abilities. Specifically:

• Clear, Multi-Level Communication
• Strategic Thinking & Advisory Mindset
• Cross-Functional & Cross-Vendor Collaboration
• Pragmatic Problem-Solving
• Ownership & Accountability
• Continuous Learning & Adaptability
• Customer Obsession & Trust-Building
• Leadership & Mentorship
• Change Agent Mindset

Pay and Benefits

Pay Range Minimum: Base $ 200000 Per Year

Pay Range Maximum: Base $ 220000 Per Year

HCLTech is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation.

A candidate’s pay within the range will depend on their skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year

How You’ll Grow

At HCLTech, we offer continuous opportunities for you to find your spark and grow with us. We want you to be happy and satisfied with your role and to really learn what type of work sparks your brilliance the best. Throughout your time with us, we offer transparent communication with senior-level employees, learning and career development programs at every level, and opportunities to experiment in different roles or even pivot industries. We believe that you should be in control of your career with unlimited opportunities to find the role that fits you best.

Date Posted:

Country:

Location:

Position Role Type:

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

Security Clearance Type:

Security Clearance Status:

At Raytheon, the foundation of everything we do is rooted in our values and a higher calling – to help our nation and allies defend freedoms and deter aggression. We bring the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today’s mission and stay ahead of tomorrow’s threat. Our team solves tough, meaningful problems that create a safer, more secure world. 

Job Summary:

An exciting opportunity exists for an experienced Principal MMIC and Module Design Engineer to join Raytheon’s RF Microelectronics/Module Design & Foundry Services department in Andover, MA. This department develops, designs, and manufactures compound semiconductor devices, microwave/millimeter-wave integrated circuits, and modules for defense applications. The successful candidate will develop state-of-the-art MMIC and module products that support air and missile defense systems and radars. Using advanced semiconductor and module technologies, they will be responsible for the complete product cycle of the MMIC, including concept, design, layout, test, evaluation, and interfacing with the customer.

What You Will Do:

• Develop insights that extend your knowledge in the MMIC design field and form the basis of new concepts, theories, and products
• Design RF structures and transitions on multi-layer, multi-channel RF Modules and analog circuitry enabling both receive and transmit behavior
• Consult across MMIC design, module design, test and assembly teams
• Act independently to troubleshoot, and uncover and resolve issues
• Research and develop new technology that results in new product/business opportunities for Raytheon
• Serve as a technical resource and represent the Department as a technical contact to Raytheon and external customers

Qualifications You Must Have:

• Typically requires a Bachelor’s Degree in Science, Technology, Engineering, or Mathematics (STEM) and 8+ years of relevant work experience with RF/microwave/mm-wave MMIC design, module/subsystem design and test. An advanced STEM degree can count in lieu of some experience)
• Experience with Circuit Simulation tool ADS and in EM tools such as HFSS, Momentum
• Experience designing RF/Microwave MMIC circuits and modules
• The ability to obtain and maintain a US security clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance

Qualifications We Value:

• Master’s or Doctoral Degree in Electrical Engineering or related engineering curriculum
• Broad background in theory and techniques of microwave/mm-wave circuits, design, and test
• Experience in thermal modeling and analysis.
• Experience of different topology trade-offs, process and active/passive component selection, system/sub-system level, gain-loss analysis and flowing down requirements from the system to the component level
• Layout experience in Mentor Graphics’ Xpedition, Cadence Virtuoso or AutoCAD
• Experience with analytical tools such as Matlab, Python, or JMP
• Experience with microwave testing techniques, including using spectrum analyzers, Real-time Spectrum Analyzers (RSAs), Vector Network Analyzers (VNAs) and Performance Network Analyzer (PNAs)
• Experience with GaAs and/or GaN MMIC devices       
• Current DoD Secret level security clearance

What We Offer:

Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Trust, Respect, Accountability, Collaboration, and Innovation.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

Privacy Policy and Terms:

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