Engineering Jobs in Washington Dc Flexible

Acclaim Technical Services, founded in 2000, is a leading cyber operations, intelligence solutions and operations, network infrastructure, engineering and business enablement and enterprise operations company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow.

We are actively hiring an Administrative Support Specialist with TS/SCI clearance and polygraph to join our Data and Systems Integration Division, working in Northern Virginia in support of coordination and administration Tasks.

ROLES AND RESPONSIBILITIES:

Tasks shall include, but are not limited to, the following:

• Coordination, organization, and scheduling of meetings. Take meting notes/minutes and meeting attendance.
• Organize and assist with office drills, filings, correspondence, tracking systems, and coordinating office requests.
• Coordinate schedules, generate minutes, and document action items.
• Assist in tracking and managing responses to actions at various levels to include but not limited to: Division Review Forums, Corporate Actions, and Ad-Hoc Front Office Actions.
• Tasking may include congressional responses, testimony reviews, and program data calls.

REQUIRED EDUCATION & EXPERIENCE:

• Thorough familiarity with standard Microsoft Office tools (Outlook, Word, Excel, PowerPoint, etc.).
• Excellent communication and organizational skills.
• Bachelor’s degree
• TS/SCI with polygraph

Engineering and consulting firm seeks a temporary-to-permanent Project Assistant to provide technical, administrative, and project management support to a team of engineers.

Responsibilities:

• Preform research and assist with written technical deliverables by drafting and proofing reports, proposals, agendas, and presentations.
• Review contracts, maintain project reports, and develop detailed records.
• Input information into internal database and documents management system, maintaining accuracy of information and updating entries regularly.
• Interface with clients and provide project management support to senior leadership by establishing deadlines and updating project statuses.
• Answer and direct incoming phone calls, photocopy and scan documents, schedule internal meetings, coordinate travel, and provide additional administrative support as needed.

Qualifications:

• Excellent verbal, written, and interpersonal communication skills.
• Highly organized and attentive to detail.
• Exemplary judgement and problem-solving skills.
• Works effectively both in a collaborative and independent working environment.
• Follows instructions closely and adheres to established departmental policies and procedures.
• Proficient in Microsoft Office applications and PDF software, such as Adobe Acrobat and exceptional technical and database management skills.
• Experience producing and analyzing complex reports.
• Strong proofreading and editing skills.
• Experience using Visio, AutoCAD, Python, and SharePoint a plus.

Requirements:

• Minimum of four (4) years of experience in professional services environment.
• Ability to work extended hours as needed.

Rate: $23 per hour while temping.

Salary: $65,000 – $70,000 per year once permanent.

AI Innovation Architect

Location: Hybrid; Ashburn, VA; Springfield, VA; Washington, D.C.

Clearance: U.S. Citizen; Must have an active Top-Secret Clearance or DHS Public Trust Clearance.

InDev is seeking a senior strategic and technical AI Architect responsible for designing, building, and deploying artificial intelligence solutions that support mission outcomes across the homeland security market. In this role you will bridge advanced AI capabilities - including machine learning, natural language processing, and data engineering - with operational requirements, ensuring solutions are secure, scalable, and aligned with the homeland security mission.

YOUR FUTURE DUTIES AND RESPONSIBILITIES

• Define overall system architecture, selecting and governing Artificial Intelligence / Machine Learning (AI/ML) and platform technologies, and ensuring solutions are scalable, secure, and production-ready
• Lead end-to-end technical design, development, and implementation of an agentic AI system to orchestrate user queries across enterprise data sources
• Partner closely with development, DevOps and data engineering teams to translate project requirements into an extensible AI architecture
• Create and promote AI strategies that align with business objectives
• Develop and coordinate POCs to test new technologies
• Evaluate and select appropriate AI tools, frameworks, and platforms (i.e., AWS, Azure, Google) to drive innovation

QUALIFICATIONS

• U.S. Citizen; Active Top-Secret Clearance or DHS Public Trust Clearance
• 8+ years of experience delivering AI solutions across federal agencies
• Bachelor’s degree in Computer Science, Engineering, or Data Science
• Deep understanding of machine learning (ML), deep learning, Natural Language Processing (NLP), and neural networks
• Experience with cloud platforms (AWS, Google Cloud, Azure) and container orchestration tools like Kubernetes and Docker
• Ability to identify high-impact AI use cases and translate them into technical requirements
• Experience designing, building, and deploying advanced AI systems including Generative AI, AI Agents, LLMs, Reinforcement Learning, and computer vision models
• Ability to apply cloud and engineering expertise across AWS, GCP, Kubernetes, Docker, Terraform, Helm, Linux, and AI services, such as SageMaker, Vertex AI, Bedrock, or Gemini
• Experience with Python, agent frameworks, data engineering, APIs/microservices, vector databases, SQL engines, distributed systems, cloud services, RAG
• Experience developing and maintaining AI/ML roadmaps, performing Analysis of Alternatives, and making defensible technical tradeoff decisions
• Experience leading multidisciplinary teams, including data scientists, engineers, and business stakeholders
• Excellent written and oral communication skills
• Ability to tailor and present information across multiple stakeholders

NICE TO HAVES

• Experience integrating AI solutions with SaaS/PaaS platforms (e.g., ServiceNow, Salesforce, etc.)
• Experience implementing virtual agents within SaaS/PaaS platforms (e.g., ServiceNow Virtual Agent, Salesforce Agentforce, etc.)
• Experience with Google Gemini

ABOUT US

At InDev, we’re not just a company; we’re a trailblazing force transforming the way data shapes the future. As a dynamic player in the federal government sector, we’re on a mission to empower agencies with cutting-edge data solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us.

WHY INDEV

• Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.
• Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.
• Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.
• Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.
• Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.
• Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.

If you’re ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team. Let’s shape the future together.

Join us in our mission to normalize kinky, coily, and curly hair in all settings as a Thrive Hair Bar First Impression Specialist! As an FIS at Thrive Hair Bar, your role is all about fostering a welcoming environment for all those who walk through our doors. Our FIS team members are naturally friendly people who enjoy learning new things frequently, helping others, and whose responsibilities include include answering inquiries via phone calls/texts/emails/in person/social media, welcoming guests, scheduling appointments & managing stylists schedules, being well-versed on our offerings to make educated suggestions to guests, retail sales, laundry, light cleaning, and handling clerical duties as needed.

Qualifications

• Multi-tasks well
• Organized
• Excellent phone etiquette and communication skills
• Stylish and prideful in appearance
• Excellent computer skills (typing, researching using web search engines, data entry, adopting new technology)
• Customer service skills to provide a welcoming and positive experience for clients
• Prior experience in a salon or customer-facing role is a plus

Responsibilities

• Answering and managing all phone, email, and social media inquiries during salon business hours
• Gaining and sharing expertise in Thrive Hair Bar offerings
• Retail sales and checkout
• Hitting target retail sales goals
• Scheduling appointments over the phone
• Attending and actively participating in all team meetings
• Daily light cleaning & laundry
• Making & Serving Coffee, Tea, Water, and Smoothies
• Filing content and data entry

Benefits & Pay

• $18.05 per hour + SALES COMMISSION$$$$
• 401K Match
• 1 free hair appointment per month
• Invites to all Thrive Hair Bar team activities and outings

Submission Guidelines

Please submit the following 2 items via email to :

• Cover letter SPECIFICALLY stating why you want to work at Thrive Hair Bar in pdf format
• Your resume in pdf format

*Currently we are hiring for Tuesdays - Fridays 9:45 am - 4 pm

ProSidian is a Management and Operations Consulting Services Firm focusing on providing value to clients through tailored solutions based on industry-leading practices. ProSidian services focus on the broad spectrum of Enterprise Service Solutions for Risk Management | Compliance | Business Process | IT Effectiveness | Engineering | Environmental | Sustainability | and Human Capital. We help forward-thinking clients solve problems and improve operations.

Launched by former Big 4 Management Consultants; our multidisciplinary teams bring together the talents of nearly 190 professionals globally to complete a wide variety of engagements for Private Companies, Fortune 1,000 Enterprises, and Government Agencies. Our solution-centric services are deployed across the enterprise, target drivers of economic profit (growth, margin, and efficiency), and are aligned at the intersections of assets, processes, policies, and people delivering value.

ProSidian clients represent a broad spectrum of industries including but not limited to Aerospace And Telecommunications | Consumer Products, Services, And Retail | Development And Sustainability | DOD/Military | Energy, Resources, & Industrials | Financial Services | Government & Public Services | Information Technology, Media, And Telecommunications | Life Sciences & Health Care | Manufacturing And Operations | Nuclear and Environmental | Professional Services, etc.

ProSidian Seeks a HR Compensation Senior Consultant (HRC4) to support an engagement for a federal financial regulatory agency and one of two agencies that supply deposit insurance to depositors in American depository institutions. This agency supplys deposit insurance to depositors in American commercial banks and savings banks. This Banking, Financial Services, and Insurance Sector Role is a Senior Consultant Labor Category Position located at or near CONUS - Washington, DC (Remote).

This service supports Banking, Financial Services, and Insurance Sector Clients (For Present / Future Requirements) and ProSidian Team Members work as part of a Engagement Team Cadre (Labor Category: Senior Consultant) to fulfill T&M - Time and Materials (T&M) requirements and to provide Employee Compensation, Pay for Performance, and Classification Consulting Services on behalf of a federal financial regulatory agency and other Federal Government clients with services required to include support from experienced consulting for review and evaluation of compensation programs; including classification, exemption status under the Fair Labor Standards Act, salary structures, locality pay, pay setting, pay for performance, pay equity, job analysis, premium pay, variable pay, and rewards. The ProSidian Engagement Team works to evaluate Federal Client's current compensation policies, programs, and practices for effectiveness in attracting, retaining, and motivating the high-caliber talent required to fulfill its mission. Members of The ProSidian Engagement Team are expected to provide expertise principally in the areas of compensation and classification - Services focus primarily on Employee Compensation, Pay for Performance and Classification Consulting Services.

We aspire to build and enhance an exceptional and diverse team of high-achievers who always put mission and the spirit of service first. This position aligns with functional/technical service requirements and client engagements in the Banking, Financial Services, and Insurance Client Industry Sector - Financial Services: Building The Future Of Financial Services With Forward Thinking Solutions.. HR Compensation Senior Consultant (HRC4) Candidates shall work to support requirements for HR Compensation Functional Area Services and shall work as a HR Compensation Senior Consultant (HRC4) and

PARTICIPATE IN FUNCTIONAL / TECHNICAL ROLE BASED RESPONSIBILITIES AND SUPPORT RELATED TO:

• Research Of HR Programs: Research of human resources programs offered by exemplary public and private sector organizations, specifically related to compensation, pay-for-performance, total rewards, and classification.
• Review/Assessment Of Current Compensation Policies: Review and assessment of The Client's current compensation policies and practices based on relevant criteria (e.g. Federal regulations, industry best practices, professional guidelines, Corporation objectives).
• Analysis And Comment On Best Practices Proposals: Analysis and comment on proposals, providing alternatives based on identified best practices or \"next\" practices. Preparation of cost-benefit analyses of proposed changes to existing programs and development of new programs.
• Design And Development Of Compensation Programs Recommendations For Modifications: Design and development of recommendations for modifications to the The Client's compensation programs or initiation of new programs, including strategies for maximizing use of automated technologies to improve customer service, operating systems, and program efficiency.
• Presentation Of Recommendations For Changes To Existing Programs: Presentation of recommendations for changes to existing programs and creation of new programs that meet The Client's strategic plan and support its corporate values and goals.
• Development Of Implementation Strategies And Project Plans: Development of implementation strategies and project plans and assistance in the development and execution of revised or new programs, including revision of policies and standard operating procedures to reflect programmatic changes.
• Development, Implementation, And Evaluation Communication And Education Strategies: Development, implementation, and evaluation of The Client's (nationwide) communication and education strategies, vehicles and documents to ensure that employees and human resources staff understand the programs.
• Designing, Conducting, Administering Surveys: Designing, conducting, administering, compiling, analyzing and summarizing and disseminating surveys comparing The Client's compensation and classification policies and programs to other FIRREA agencies and federal financial regulators, other Federal and public sector organizations, and the private sector.
• Collecting Data By Electronic And Web-Based Methods: Collecting data by electronic and web-based methods. Publishing in electronic and hardcopy, the survey results and disseminating to survey participants.
• Consulting To Senior Management Officials: Consulting to senior management officials during collective bargaining and other labor- management initiatives in preparation for development of, and during the administration of, a negotiated multi-year Compensation Agreement. Meeting periodically with The Client's and, at The Client's request, union representatives to review financial and program design issues. Preparation of financial exhibits, agenda, summaries of issues, cost analyses, and opinion papers. Serving as a technical expert on compensation and classification during the The Client's collective bargaining process. Costing and issuing analysis of union proposals during course of negotiation.
• Advising The Client's On Legislative And Regulatory Changes: Advising The Client's on legislative and regulatory changes that may affect The Client's programs. Incorporating legislative and regulatory changes in recommendations.
• Writing Or Reviewing Of Job Descriptions, Performing Job Analysis And Evaluation: Writing or reviewing of job descriptions, performing job analysis and evaluation of The Client's positions and reviewing evaluations performed by The Client, as requested. Determining jobs' exemption status relative to the Fair Labor Standards Act, as administered by the U.S. Office of Personnel Management and defined in the code of federal regulations. Meeting with The Client's management, employees and/or their representatives, as needed to gather information needed to evaluate positions, or to explain the methodology and support decisions. Preparing oral and written depositions and testimony and representing the The Client's in person or in writing, if needed, to explain the methodology and to support the evaluations in internal and external review processes, including appeals, grievances, arbitration, or legal action.
• Providing Consulting Services, Including Analysis, Benchmarking, Program Design: Providing consulting services, including analysis, benchmarking, program design, development and implementation as needed for ad hoc requests. Preparing opinion/white papers, cost-benefit analyses, and special reports addressing specific human resources issues.
• Provide Communication Plans And Change Management Strategies: Provide communication plans and change management strategies to ensure successful implementation of any new programs and initiatives resulting from above recommendations.

TEAM PROSIDIAN PERSONNEL SHALL HAVE EXPERIENCE IN THE FOLLOWING:

• Expertise and experience in designing, developing, implementing, communicating, administering and evaluating human resources programs, with emphasis in compensation and classification in large (i.e., over 4,000 employees) geographically dispersed organizations with a technical, multi-faceted mission of national scope.
• Demonstrated successful experience in designing and implementing innovative private and public sector compensation and pay for performance programs, and/or expertise in a unionized environment.
• Experience in job analysis and evaluation, with expertise in making accurate Fair Labor Standards Act (FLSA) exemption determinations, and demonstrated ability to successfully defend those decisions to employees, management, and/or outside parties.
• Expertise in state-of-the art compensation, pay for performance, and awards programs, with the ability to tailor such programs to a public-sector regulatory/operational organization.
• Knowledge of existing laws and regulations pertaining to the federal compensation, classification, performance, and recognition programs, and to the federal financial regulatory agencies.

SENIOR CONSULTANT ENGAGEMENT TEAM MEMBER QUALIFICATIONS:

• Expert knowledge of and extensive experience in classification, FLSA determinations, developing and/or implementing job evaluation programs, including development and writing of job descriptions, job analysis and job evaluation methodology, ensuring sound and fair application of evaluation methodology, explaining and defending the results during internal and external review.
• BS in business administration, human resources or other related field and a minimum of seven (

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. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

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. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

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:

Click on this link to read the Policy and Terms

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. 

This is a Program direct-support position and requires a technical understanding of piece part electronic components and their assembly level applications.  This candidate will transition into a key leadership position in the supporting program Obsolescence Integrated Product Team and will drive issue resolution for situations involving obsolescence.  

The selected candidate will perform and/or assist in the performance of Parts Engineering, Components Engineering or Applications Engineering tasks supporting programs in the Proposal, System Design Description, Low Rate Initial Production, Production and Support phases. Position will require day to day interface with Designers, Contracts, Estimating, Supply Chain, Program Management, and other disciplines. 

 
This position is an onsite role, located in Tucson, AZ.

What You Will Do: 

• Understand and/or generate a program statement of work (SOW) and other defined customer component application requirements. 

• Develop and/or sustain a proactive Obsolescence Management process to deliver cost saving obsolescence mitigation strategies and solutions. 

• Drive resolution through support or execution of lifetime buys, selections of alternate parts, redesign efforts or other mitigation strategies and will facilitate and support contract negotiations, basis of estimates, and supplier statements of work for proposal efforts. 

• Interact with Program and customer leadership on a regular basis to communicate status of mitigation strategies. 

• Conduct trade study analysis help identify cost effective obsolescence driven cut in points for proposed unit redesigns.

Qualifications You Must Have:  

• Typically requires a Bachelor’s in Science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of prior relevant experience with any combination of the following:

• Experience with proactive and reactive component obsolescence management methodologies. 

• Experience with data collection, analysis, and presentation skills to adequately discuss system impact of component obsolescence issues. 

• Experience with project management working with schedules, costs, and integration of stakeholder needs throughout the obsolescence process. 

• Financial and Contract Management experience with proposals, BOE, EVMs, SOWs, CLINs and CDRLs. 

• Experience with BOM (Bill of Material) development and management for developmental and production programs. 

• Risk and Opportunity business case analysis experience supporting sustainment vs redesign cut in decisions. 

Qualifications We Prefer:  

• Master’s Degree in Electrical Engineering or other related science or engineering discipline 

• Ability to navigate multiple complex processes and tools. 

• Understanding of the application of technical theories and concepts as they apply to electronic components and the parts management field. 

• Ability to read and interpret engineering drawings and hierarchy definition. 

• Knowledge of component failure modes by commodity 

• Knowledge of Component MIL drawings, standards, test specifications, and associated QPLs and QMLs 

• Knowledge of component selection, screening, qualification, and derating for use in military, and aerospace flight applications 

• Knowledge of analog design and analysis, general knowledge of digital circuitry and interfaces 

• Excellent communication skills to interface with other Integrated Product Team members, including Electrical Engineering, Mechanical Engineering, Supply Chain Management, Quality, Operations, and Supplier Engineering.  

• Capable of supporting regular customer interactions including but not limited to leadership engagements, responding to proposal requests and contract negotiations. 

• Outstanding organizational, presentation and technical skills. 

• Ability to multi-task and appropriately prioritize responsibilities. 

• Willingness to support occasional travel.  

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. 

This position offers relocation based on candidate eligibility.

Learn More & Apply Now!  

This position requires a security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here:  

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:

Click on this link to read the Policy and Terms

Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.

About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.

Apply Today if your Background Includes:

• 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
• Strong event-driven architecture + Kafka experience
• Proven experience modernizing legacy microservices & distributed systems
• AWS Cloud experience
• Hands-on Python experience for backend/data workflows
• DevSecOps mindset: automated testing, CI/CD, secure coding
• Experience supporting both greenfield and legacy systems
• Strong relational DB experience (Postgres preferred)
• Experience handling IoT or high-volume sensor data pipelines
• Familiarity with open-source tooling and cloud-agnostic architectures
• Ability to mentor junior engineers and provide technical leadership

What the Right Professional Will Enjoy!

• Fully remote work opportunity with up to 20% travel.
• Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
• Direct impact on safety, rail operations, and national freight logistics.
• Work on high-volume IoT, event-driven architectures, cloud-native systems.
• Exposure to AI/GenAI, automation, and open-source tooling
• Leadership opportunities with junior developers

Responsibilities:

• Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
• Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
• Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
• Lead architecture, design, and deployment efforts for new and existing services.
• Refactor and support large rules-engine frameworks (600+ rulesets).
• Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
• Use Python for backend workflows, automation, and data processing tasks.
• Build automated CI/CD and testing frameworks following DevSecOps best practices.
• Work with Postgres and relational databases to tune, model, and integrate data.
• Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
• Collaborate across teams to build scalable, modern systems.
• Support both new development and the existing application footprint.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Title: AI Research Scientist

Location: San Jose, CA

Responsibilities:

• Design, execute, and analyze machine learning experiments, establishing strong baselines and selecting appropriate evaluation metrics.
• Stay up to date with the latest AI research; identify, adapt, and validate novel techniques for company-specific use cases.
• Define rigorous evaluation protocols, including offline metrics, user studies, and adversarial (red team) testing to ensure statistical soundness.
• Specify data and annotation requirements; develop annotation guidelines and oversee quality control processes.
• Collaborate closely with domain experts, product managers, and engineering teams to refine problem statements and operational constraints.
• Develop reusable research assets such as datasets, modular code components, evaluation suites, and comprehensive documentation.
• Work alongside ML Engineers to optimize training and inference pipelines, ensuring seamless integration into production systems.
• Contribute to academic publications and represent the company in research communities, as needed.

Educational Qualifications:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field is strongly preferred.
• Candidates with a master’s degree and exceptional research or industry experience will also be considered.

Industry Experience:

• 3–5 years of experience in AI/ML research roles, ideally in applied or product-focused environments.
• Demonstrated success in delivering research-driven solutions that have been deployed in production.
• Experience collaborating in cross-functional teams across research, engineering, and product.
• Publications in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ACL, CVPR) are a plus.

Technical Skills:

• Strong foundational knowledge in machine learning and deep learning algorithms.
• Hands-on experience with PEFT/LoRA, adapters, fine-tuning techniques, and RLHF/RLAIF (e.g., PPO, DPO, GRPO).
• Ability to read, implement, and adapt state-of-the-art research papers to real-world use cases.
• Proficiency in hypothesis-driven experimentation, ablation studies, and statistically sound evaluations.
• Advanced programming skills in Python (preferred), C++, or Java.
• Experience with deep learning frameworks such as PyTorch, Hugging Face, NumPy, etc.
• Strong mathematical foundations in probability, linear algebra, and calculus.
• Domain expertise in one or more areas: natural language processing (NLP), symbolic reasoning, speech processing, etc.
• Ability to translate research insights into roadmaps, technical specifications, and product improvements.

AI Research Scientist | Machine Learning | Deep Learning | Natural Language Processing | LLM | Hybrid | San Jose, CA

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA

Title: Machine Learning Engineer

Location: San Jose, CA

Responsibilities:

• Productize and optimize models from Research into reliable, performant, and cost-efficient services with clear SLOs (latency, availability, cost).
• Scale training across nodes/GPUs (DDP/FSDP/ZeRO, pipeline/tensor parallelism) and own throughput/time-to-train using profiling and optimization.
• Implement model-efficiency techniques (quantization, distillation, pruning, KV-cache, Flash Attention) for training and inference without materially degrading quality.
• Build and maintain model-serving systems (vLLM/Triton/TGI/ONNX/TensorRT/AITemplate) with batching, streaming, caching, and memory management.
• Integrate with vector/feature stores and data pipelines (FAISS/Milvus/Pinecone/pgvector; Parquet/Delta) as needed for production.
• Define and track performance and cost KPIs; run continuous improvement loops and capacity planning.
• Partner with ML Ops on CI/CD, telemetry/observability, model registries; partner with Scientists on reproducible handoffs and evaluations.

Educational Qualifications:

• Bachelors in computer science, Electrical/Computer Engineering, or a related field required; Master’s preferred (or equivalent industry experience).
• Strong systems/ML engineering with exposure to distributed training and inference optimization.

Industry Experience:

• 3–5 years in ML/AI engineering roles owning training and/or serving in production at scale.
• Demonstrated success delivering high-throughput, low-latency ML services with reliability and cost improvements.
• Experience collaborating across Research, Platform/Infra, Data, and Product functions.

Technical Skills:

• Familiarity with deep learning frameworks: PyTorch (primary), TensorFlow.
• Exposure to large model training techniques (DDP, FSDP, ZeRO, pipeline/tensor parallelism); distributed training experience a plus
• Optimization: experience profiling and optimizing code execution and model inference: (PTQ/QAT/AWQ/GPTQ), pruning, distillation, KV-cache optimization, Flash Attention
• Scalable serving: autoscaling, load balancing, streaming, batching, caching; collaboration with platform engineers.
• Data & storage: SQL/NoSQL, vector stores (FAISS/Milvus/Pinecone/pgvector), Parquet/Delta, object stores.
• Write performant, maintainable code
• Understanding of the full ML lifecycle: data collection, model training, deployment, inference, optimization, and evaluation.

Machine Learning Engineer | Python | Pytorch | Distributed Training | Optimisation | GPU | Hybrid, San Jose, CA