97 jobs found

Lead CarMax's Logistics Modeling team in developing optimization strategies and AI-powered planning models for vehicle transportation across its nationwide network. Manage and develop data scientists, guide software implementation with IT and field teams, and measure the business impact of logistics planning improvements. Responsibilities Develop short- and long-term logistics planning strategies aligned with business objectives. Lead development of optimization models and AI systems for vehicle transportation planning. Manage, coach, and set goals for a team of 4-7 data scientists. Collaborate with IT and field teams to implement planning models and deliver actionable plans. Design experiments and measure the business impact of logistics planning changes. Continuously improve logistics strategies to increase efficiency and business value. Required Skills Data science Logistics optimization Mathematical modeling Statistics Machine learning Artificial intelligence Python Computer science Software engineering Experiment design

This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details

Job Description Job Description Job Description iOS Mobile Capability Developer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: iOS Mobile Capability Developer (Computer Scientist, Level 1) Location: Columbia, MD (on-site) Category: Software Development / Mobile Embedded Platforms / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $90,000 - $110,000 (annualized USD) Experience Requirement: 1+ year with a Bachelor's degree, OR 0+ years with a Master's degree At least 1 year of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are seeking an iOS-savvy software developer to join a small, mission-impactful team building new capabilities on mobile platforms. You'll combine deep iOS internals knowledge with reverse engineering skills to design, prototype, and harden tools that solve real, hard problems. This role offers room to grow alongside experienced engineers - you'll take ownership of components from the start, and your work will be deployed and used quickly rather than sitting in a backlog. Responsibilities Develop, modify, and integrate software targeting iOS and related Apple platforms. Reverse engineer iOS applications, libraries, and platform components to inform capability design. Prototype creative solutions to complex platform-level problems and iterate based on testing and user feedback. Produce and maintain technical documentation for the tools and components you build. Collaborate with senior engineers, analysts, and end users to refine requirements and approach. Skills Requirements Hands-on experience with iOS internals. Reverse engineering experience on mobile or embedded platforms. Production-grade software development experience in at least one systems language (C, C++, Objective-C, Swift). Familiarity with Linux/macOS development environments. Familiarity with Git and Atlassian tooling (Jira, Confluence). Strong critical thinking, communication, and collaboration skills. Nice to Haves Experience with ARM assembly and low-level debugging. Familiarity with iOS exploitation, jailbreak research, or vulnerability research. Experience with embedded firmware analysis. Exposure to Android, Bluetooth, or other adjacent mobile platforms. Familiarity with GitLab CI/CD workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $90,000 - $110,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Job Description Application Developer / Reverse Engineer - Security Tools Columbia, MD Full Time TS/SCI with Polygraph Required Position: Application Developer / Reverse Engineer (Application Developer, Level 3) Location: Columbia, MD (on-site) Category: Software Development / Reverse Engineering / Security Tooling Clearance Requirement: Active TS/SCI with Polygraph Compensation: $200,000 - $250,000 (annualized USD) Experience Requirement: 12+ years with a Bachelor's degree, OR 10+ years with a Master's degree, OR 4 additional years of software engineering experience in lieu of a degree Description You will act as a Software Engineer and Reverse Engineer to develop cutting-edge security tools in a fast-paced, agile environment. Your work will support high-impact projects where you'll work closely with analysts, data scientists, and other software engineers. You'll be expected to work largely independently, pursuing opportunities that present themselves from your research and following up with customer needs. This role will provide opportunities to quickly adapt and deploy new security products - your tools will be used within weeks, not years. Responsibilities Develop Python applications to automate analysis and operational workflows. Reverse engineer network traffic and web applications. Work with customers to collect requirements and ensure proper functionality. Coordinate with a team of software developers to incorporate new technologies and leverage shared libraries. Manage dataflow and formatting to integrate into client systems. Skills Requirements Production-grade software development experience in Python. Familiarity with HTTP, HTML, JavaScript, and other common web traffic. Experience with Burp Suite, browser developer tools, or Wireshark to monitor network communications. Service containerization and deployment with Docker/Kubernetes. Familiarity with Git/GitLab. Familiarity with AI-assisted code development (Claude Code, Copilot, Cursor, etc.). Atlassian Tools (Jira, Confluence). Nice to Haves Experience prototyping web applications (JavaScript). Experience analyzing cybersecurity-related datasets (network traffic, OS events). Experience developing or reverse-engineering mobile applications and communications. Capable of designing and manipulating GitLab CI/CD automated builds. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $200,000 - $250,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Description: Hybrid 3 on in Charlotte, NC Our client seeks a senior MLOps / DevOps Engineer focused on platform and infrastructure. The role emphasizes building and operating reliable, scalable, and automated cloud environments that enable machine learning development and deployment. You will collaborate with data scientists, platform teams, and product owners to provision infrastructure as code, implement CI/CD automation, and improve developer experience through tooling and documentation. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $70.00 to $81.00/hr. w2 JN -30 Responsibilities: Design, build, and maintain cloud infrastructure using Terraform. Develop and manage CI/CD pipelines with GitHub Actions for build, test, and deployment automation. Support and improve MLOps platforms with a focus on reliability, scalability, and automation. Debug and resolve issues across Terraform deployments, pipelines, and cloud services. Automate environment provisioning, configuration, and lifecycle management. Implement monitoring, logging, and alerting to ensure platform health and performance. Collaborate with data scientists and engineers to streamline model deployment and promotion to production. Contribute to repository management, version control practices, and code quality standards. Drive developer experience improvements through tooling, documentation, and self-service capabilities. Experience Requirements: Strong experience with Terraform for infrastructure provisioning and automation. Proficiency in Python for automation, tooling, and integrations. Hands-on experience with GitHub Actions or similar CI/CD systems, including pipeline design and migration. Strong understanding of Git operations, CI/CD principles, and DevOps practices. Experience with AWS. Experience with containerization and orchestration. Familiarity with the machine learning lifecycle and model deployment workflows. Experience supporting ML platforms, data pipelines, or model infrastructure preferred. Strong communication skills and ability to work cross-functionally. Problem-solving mindset with attention to detail and shared ownership. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ( , ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: When you work with Eliassen Group, all email communication will come from an address, never Gmail, Yahoo, etc. Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with expertise in high-speed mixed-signal design to research, design, develop, and test custom instrumentation for our quantum computing control systems. In this role, you will represent the Control Systems team, working closely with Quantum Engineering to integrate, deploy, and support this hardware in our quantum computers. Due to the need for collaboration with Atom's theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with software, quantum, laser, optical, and systems engineers to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Experience completing at least one full hardware design cycle, from concept development and schematic capture through PCB layout, fabrication, and initial board bring-up. Mixed signal design experience Working knowledge of PCB design best practices and a keen attention to detail. Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Description At Atom Computing, we build quantum computers using arrays of optically trapped neutral atoms that will empower customers to achieve unprecedented computational breakthroughs. Join a world-class team of scientists, engineers, and business professionals to advance the state-of-the-art in quantum computing. We are seeking a hands-on Senior Hardware Engineer with expertise in high-speed mixed-signal design to research, design, develop, and test custom instrumentation for our quantum computing control systems. In this role, you will represent the Control Systems team, working closely with Quantum Engineering to integrate, deploy, and support this hardware in our quantum computers. Due to the need for collaboration with Atom's theory, software and hardware teams, this role is required to be in the office in Boulder or Austin at least 3 days per week. Responsibilities Design high level system architectures for instruments with particular focus on driving definition of analog and RF front end designs, including signal conditioning and amplification stages, DAC and ADC selection, power and clocking schemes, as well as control and monitoring circuitry. Own the research, simulation, prototyping, evaluation, and design of high speed mixed-signal front ends used for driving high speed and high resolution analog signals used to interface with the lasers and actuators that control our quantum computers. Collaborate with software, quantum, laser, optical, and systems engineers to understand system needs, discuss solutions and define hardware design requirements. Board-level circuit design, schematic capture, and PCB layout (working with a PCB layout designer) in Altium Designer of custom control system hardware. Actively participate in the bring-up, verification, and testing of control system hardware systems, collaborating closely with FPGA, firmware, and software engineers. Experience & Education BS or MS in Electrical Engineering, Computer Engineering, or a related technical field. 5+ years of relevant postgraduate professional experience in board-level analog and digital circuit design, preferably with Altium Designer. Required Qualifications Experience completing at least one full hardware design cycle, from concept development and schematic capture through PCB layout, fabrication, and initial board bring-up. Mixed signal design experience Working knowledge of PCB design best practices and a keen attention to detail. Demonstrated proficiency with electronic test equipment (e.g., oscilloscopes, spectrum and logic analyzers, signal generators) for the bring-up and debug of prototype electronics assemblies. Experience working on boards with complicated ICs (FPGAs, processors, etc) requiring several power supplies, high speed busses, and high speed memory interfaces Self-motivated, collaborative, and driven to work effectively in a fast-growing startup environment. Ability to effectively communicate and collaborate with a diverse team of experimental physicists, hardware, and software engineers. Preferred Qualifications Familiarity with RF design concepts and/or software defined radio Experience designing for and characterizing high-speed data-converter systems for low phase noise, low spurious content, and high linearity. Experience with multi-gigabit serial transceiver lane design, evaluation, equalization Experience with IBIS-AMI modeling and correlation for multi-gigabit serial interfaces Experience designing high speed memory interfaces Experience with high speed digital and analog I/O and connector/cable selection and characterization Capable in scripting languages (e.g., Python) for basic data acquisition, instrument control, and automating hardware test and characterization. Experience working in a Linux environment Familiarity with the MicroTCA, PXIe, or similar pluggable instrument standards Atom Computing provides a wide variety of perks and benefits, including fully paid medical, dental, and vision insurance for our employees and their dependents. Additionally, unlimited paid time off, 401K company matching, short- and long-term disability, FSA, dependent care benefits, and life insurance. We also offer drinks, snacks, and catered team lunches in our offices, every day! The base salary range for this position is between $140,000 - $160,000 annually, commensurate with experience. In addition to salary, we offer an annual bonus and equity in the company. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

AI Engineer 4 (Gen AI Platform Services: Agentic Systems) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. What You'll Do: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. Own the end-to-end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines Lead cross-functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met Mentor Principal and Senior Associates on scalable design, performance tuning and research-to-production translation The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown Basic Qualifications: Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java Preferred Qualifications: Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience designing, developing, delivering, and supporting AI services Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Experience in building agentic AI systems and agentic workflows Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for AI Engineer 4 McLean, VA: $197,300 - $225,100 for AI Engineer 4 New York, NY: $215,200 - $245,600 for AI Engineer 4 San Francisco, CA: $215,200 - $245,600 for AI Engineer 4 San Jose, CA: $215,200 - $245,600 for AI Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. 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Job Description Job Description Job Title: SME Network Autonomy Duration- Fulltime Permanent Location: Atlanta, GA - Remote Job Description:- Skills: Autonomous Networks Infrastructure as Code Digital Twins for network Network as a Service (NaaS), API Engineering, API driven Networks Data models (YANG, JSON, gNMI) Closed Loop Automation BGP, OSPF, MPLS, VXLAN, and SD WAN CI/CD, DevOps Python (preferred), Go, or C TensorFlow or PyTorch Must Have Technical/Functional Skills Networking Expertise Deep protocol level knowledge of BGP, OSPF, MPLS, VXLAN, and SD WAN Experience operating and troubleshooting carrier grade or hyperscale networks AI/ML & GenAI Hands on experience applying AI/ML models to networking use cases (e.g., time series forecasting, anomaly detection) Familiarity with ML frameworks such as TensorFlow or PyTorch Software & Automation Expert proficiency in Python (preferred), Go, or C Strong experience with CI/CD pipelines and DevOps practices Extensive use of Ansible and Terraform for network automation Cloud Native Networking Experience managing network functions in Kubernetes environments (CNI plugins) Hands on exposure to public cloud networking across AWS, Azure, and GCP. Roles & Responsibilities The Senior Network Autonomy Lead will define and execute the vision for next generation autonomous networks. The role is responsible for overall architecture design, AI/ML platform selection, and the delivery of closed loop automation systems that proactively predict failures, dynamically optimize traffic, and autonomously mitigate security threats. You will lead cross functional teams spanning networking, data science, software engineering, and cloud platforms to operationalize autonomy at scale across multi vendor and hybrid environments. Generic Managerial Skills, If any Strategic Vision & Roadmap Define and own a multi year roadmap for network autonomy, spanning Autonomy Levels 0 through to Level 5 Drive the organizational transition from Infrastructure as Code (IaC) to Intent Based Networking (IBN) Evaluate, pilot, and integrate advanced technologies such as Digital Twins for network modeling, simulation, and optimization Establish KPIs and success metrics for autonomy maturity, resiliency, and operational efficiency 2. Technical & Architecture Leadership Architect and oversee AI/ML driven platforms for predictive maintenance, anomaly detection, and root cause analysis Lead the design and implementation of closed loop automation systems where networks observe, decide, and act without human intervention Standardize and govern telemetry, APIs, and data models (YANG, JSON, gNMI) across multi vendor domains Ensure scalability, resilience, and security of autonomous control loops in production environments 3. Cross Functional Leadership Lead and mentor senior engineers, architects, and data scientist Partner with security, cloud, and platform teams to embed autonomy across the infrastructure stack Influence product, procurement, and vendor ecosystems to align with the autonomy vision