125 jobs found

AI Engineer 4 (Gen AI Platform Services: Agentic AI) 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) 3+ years of experience with Kubernetes 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

AI Engineer 4 (Gen AI Platform Services: Agentic AI) 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) 3+ years of experience with Kubernetes 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. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Artificial Intelligence Senior Associate Overview / Summary We are seeking an Artificial Intelligence Senior Associate to develop and deploy production-grade AI applications, algorithms, and intelligent automation solutions. This role focuses on building multi-agent systems, RAG pipelines, data-driven applications, and AI services that solve complex problems, generate recommendations, extract patterns, make predictions, and enable self-service capabilities. The role involves working across generative AI, natural language processing, deep learning, cognitive automation, intelligent process automation, and related AI technologies, with a strong emphasis on production software engineering, scalability, safety, evaluation, and observability. Key Responsibilities Understand business requirements and develop AI algorithms, models, and programs to solve complex problems, generate recommendations, extract patterns, make predictions, interpret sensor data, orchestrate automation, and enable self-service capabilities. Architect and deploy production multi-agent orchestration systems using modern agent frameworks with state management and checkpointing. Design and productionize RAG pipelines, including chunking, embeddings, hybrid retrieval, and reranking. Build data-driven applications that translate data into actionable intelligence through large-scale experimentation. Develop innovative applications using generative AI, deep learning, natural language processing, image processing, cognitive automation, intelligent process automation, reinforcement learning, virtual assistants, and specialized programming. Research and optimize AI technologies to improve the efficiency and accuracy of data analysis and automation. Design and implement safe, least-privilege, validated execution of LLM-generated SQL. Build CI/CD, containerization, and infrastructure-as-code solutions for deploying AI services in cloud environments. Implement evaluation pipelines and observability/tracing for AI and agent systems, including evaluation datasets, LLM-as-judge scoring, and regression monitoring. Implement guardrails, prompt-injection defenses, and human-in-the-loop approval checkpoints to support safe and reliable AI outputs. Design cost and latency optimization strategies, including tiered model routing and caching. Integrate validated AI outputs with operational systems and reporting pipelines. Collaborate with data scientists to productionize AI prototypes into scalable, monitored services. Establish versioning, testing, and safe rollout practices for evolving AI and agent logic. Required Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience. 3+ years of experience building production software systems, including 1-2+ years working on ML/AI or LLM-based applications. Proven experience designing and deploying multi-agent or multi-service architectures in production. Strong Python proficiency, including asynchronous/concurrent programming. Experience with backend frameworks such as FastAPI or Flask. Hands-on experience with agent orchestration frameworks such as LangGraph, CrewAI, LlamaIndex, or equivalent. Experience building RAG pipelines, including vector databases, embeddings, chunking strategies, and retrieval evaluation. Cloud deployment experience, ideally with Google Cloud Platform. Experience with cloud technologies such as BigQuery, Cloud Run/GKE, Vertex AI, and Pub/Sub, or equivalent AWS/Azure services. Strong SQL skills and experience with cloud data warehouses. Experience with containerization and CI/CD, including Docker, Kubernetes, and GitHub Actions/Cloud Build. Experience building evaluation and observability pipelines for LLM/agent systems, including offline evaluation datasets, LLM-as-judge scoring, and tracing tools such as LangSmith, Langfuse, OpenTelemetry, or equivalent. Understanding of LLM safety practices, including guardrails, output validation, prompt-injection defense, and safe execution of AI-generated code or SQL. Strong software engineering fundamentals, including API design, testing, version control, and security best practices. Experience with Google Cloud Platform. Preferred Qualifications Experience with cost optimization and model routing, including tiered pipelines and per-task or per-conversation cost modeling. Experience deploying agentic systems with human-in-the-loop or multi-checkpoint validation workflows. Experience with automotive, EV charging, IoT, or connected-vehicle telemetry data. Familiarity with Model Context Protocol (MCP) or similar standards for tool and data integration across agents. Experience in a startup or 0-to-1 product environment with evolving requirements. Master's degree in Computer Science, Software Engineering, or a related field. Work Arrangement Hybrid work arrangement with four days per week onsite. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

STUDENT ANALYST - STUDENT ASSISTANT-R&D - STUDENT ENGINEER - Software Developer 16-01567 Who We Are: Join the Defense and Intelligence Solutions team as a Software Engineering Intern for Summer 2027. Develop software ranging from low-level algorithms to large-data visualization and other software-centric projects. Assignments may involve signal processing, data analytics, artificial intelligence and machine learning, data storage and processing, graphical user interfaces, databases, web applications, or cloud-based development. Work with computer scientists and engineers to design, prototype, test, and document solutions supporting customer mission needs. Objectives of this Role: Develop applications involving signal processing, data storage, data analysis and processing, graphical user interfaces, databases, and web applications that will ultimately become part of larger systems supporting customer mission needs. Depending on the assignment, explore or apply artificial intelligence and machine learning techniques to data analysis, pattern recognition, prediction, optimization, or other engineering problems. Proactively communicate with project mentors, provide status updates, and critically think through challenges. Summer 2027 Student position. Daily and Monthly Responsibilities: Assist to develop software in one or more languages, including C++ and/or Java, for proofs of concept, prototypes, and production-grade applications. Proactively work with experienced computer scientists and engineers to develop advanced software solutions and translate functional requirements into conceptual and detailed designs. Contribute to software projects involving data analytics, machine learning, signal processing, visualization, web applications, graphical user interfaces, databases, or related areas, depending on the assignment. Create unit and integration tests, and contribute to software testing, installation, and documentation. Proactively communicate with project mentors and team members, provide status updates, critically think through challenges, and contribute effectively both independently and as part of a team. Requirements: Must be pursuing a Bachelors degree in Computer Science, Software Development, Software Engineering or related degree field such as Computational Engineering. Must be Sophomore, Junior or Senior level student. 0 years: C++ and Java skills with the ability to work with advanced data structures, data analytics, and machine learning applications. Familiarity with software development on Windows and LINUX operating systems. Exposure to, or interest in, artificial intelligence, machine learning, data analytics, signal processing, or related concepts and tools through coursework, projects, research, or prior experience. Proactive communicator, quick to learn, strong problem-solving and quantitative data analysis skills. Work both independently and within a team with effective communication skills. A valid/clear driver's license is required. Special Requirements: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: San Antonio, Texas For more information about this division, visit the Defense & Intelligence Solutions home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top

GRADUATE STUDENT-R&D - STUDENT ANALYST - Space Data Systems 15-01710 Who We Are: Space Data Systems is a CMMI-DEV V2.0 ML2/CL2 appraised high-performance software engineering team that empowers exploration by creating capable, sustainable software using proven technologies and effective software engineering processes in a people-focused work environment. Objectives of this Role: Work with small teams to develop, test, and deploy Java web applications to support a variety of NASA/ESA space missions. Department web applications support space missions by providing tools for planning mission activities, instrument telemetry data management, spaceflight operations tools, and space manufacturing support. Local year-round undergraduate Senior or Graduate student position. Daily and Monthly Responsibilities: Assist with the development and testing of new software functions in Java. Work with a team to create and improve existing web applications with Spring, JavaScript, jQuery, AJAX, and CSS. Write SQL to work with MariaDB and other databases. Collaborate with scientists and engineers to plan new features and review products in development. Requirements: Must be pursuing a Bachelors or a Masters degree in Computer Science. Undergraduate students must be rising seniors. 0 years: Academic or project-based experience with Java or either C++, C#, Groovy, or Scala and willingness to learn Java is required. Industry internship experience with Spring, JavaScript, jQuery, AJAX, JSP, Servlet, or SQL (Oracle or MySQL) is a plus. A valid/clear driver's license is required. Special Requirements: Must be a U.S. person (i.e., U.S. citizen, non-U.S. citizen national, lawful permanent resident, asylee, or refugee) due to ITAR work in section. Job Locations: San Antonio, Texas For more information about this division, visit the Space Science home page. An Equal Employment Opportunity Employer: race, color, religion, sex, national origin, disability, and veteran status. If you need assistance with completing the application, please Contact Us Back To Top

Position Description: The Information Technology Architect (Senior) shall provide expertise in the most current principles and practices of architecture data management systems and experience in large system designs, and with data modeling in the information management arena. This individual provides expertise in modeling and organizing information to facilitate support of projects or information architectures. The individual also provides guidance on how and what to data and process model. The position primarily deals with transition planning from legacy to modern systems by concentrating on information flows, data exchange, and data translation standardization services. - Data Architecture Design: Develop and maintain a robust data architecture strategy for the AWS Cloud-based Lake House, encompassing data modeling, data storage, data processing, and data integration across various AWS services, such as S3, Glue, Athena, and Redshift. - Cloud Data Governance: Define and enforce data governance principles, standards, and best practices to ensure data quality, security, and compliance with relevant regulations. - Data Integration: Design and implement efficient data integration processes, enabling seamless data flow between diverse data sources and the data lake infrastructure. - Performance Optimization: Collaborate with data engineers and technical teams to optimize the performance and scalability of the data lake architecture, ensuring high availability and low latency for data access and processing. - Metadata Management: Implement metadata management solutions to enhance data discoverability, lineage, and cataloging within the data lake house. - Data Security: Develop and enforce security measures to protect sensitive data, adhering to industry best practices and AWS security standards. - Collaboration and Leadership: Work closely with cross-functional teams, including data analysts, data scientists, and data engineers, to understand their data requirements and provide technical guidance on data-related initiatives. - Data Architecture Documentation: Maintain comprehensive documentation of the data architecture, including architectural diagrams, design specifications, and data flow processes. - Technology Evaluation: Stay informed about the latest AWS services and data-related technologies, assessing their potential value and recommending their adoption as appropriate. - Continuous Improvement: Continuously evaluate the effectiveness of the data architecture, identifying opportunities for enhancement and driving improvements to meet evolving business needs. Education: - Bachelor's Degree from an accredited college or university with a major in Engineering, Computer Science, Mathematics or a related field. Master's degree preferred. General Experience: - At least ten (10) years of experience planning, designing, building, and implementing IT systems. - 10+ years of overall IT experience with 6+ years in solution architecture, system design, and data management. - Proven experience as a Data Architect, focusing on designing and implementing data solutions in AWS cloud environments. - Extensive knowledge of AWS cloud services, data lake architecture, and big data technologies. - Strong understanding of data modeling principles, governance, and security practices. Demonstrated expertise in designing data integration solutions and optimizing data processing performance. - Excellent analytical and problem-solving skills, with the ability to make data-driven decisions. -Leadership skills to guide and mentor junior data architects and collaborate with cross-functional teams. - AWS certifications, such as AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty, or AWS Certified Big Data - Specialty, are highly desirable. - Strong communication and presentation skills to effectively convey complex technical concepts to non-technical stakeholders. - Join our team as a Senior Data Architect and be at the forefront of architecting our AWS Cloud-based Lake House to enable data-driven innovation and business success. Specialized Experience: At least five (5) years of the required ten (10) years of experience must be in the direct supervision and management of major projects that involve providing professional support services and/or the integration, implementation and transition of large complex system and subsystem architectures. Must have led or been chief architect in major IT implementation efforts. Must demonstrate a broad understanding of client IT environmental issues and solutions and be a recognized expert within the IT industry. Must demonstrate advanced abilities to team and mentor and possess demonstrated excellence in written and verbal communication skills. - Key qualifications include strong project management skills, leadership abilities, effective communication, and the capacity to identify and resolve issues while adapting to changing circumstances. Significant experience collaborating with cross-functional teams, product owners, and stakeholders is essential - Preferred qualifications include a technical background and experience in data and AI/ML projects. Functional experience with local or government projects in Data Services (MDM/R360/EDMS), Child Support, Integrated Eligibility, Child Welfare, Adult Protective Services, Juvenile Justice, or Health and Human Services is also preferred

This job is with S&P Global, 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 the Role: Grade Level (for internal use): 15 The Team: Enterprise Solutions (ES) Technology is a powerful combination of world class people and businesses with a shared mission and legacy of evolving markets and delivering for the most demanding customers in the world. We are the catalyst to bring data, software, services, and expertise together to power the markets of the future. We drive growth through world class execution, a growth mindset, and our unique expertise and passion for building innovative and connected solutions. We collaborate with our business line to drive business growth by focusing on execution of our joint product strategies. We ensure that we maximize business value while at the same time minimizing cost of ownership of our technology estate. Responsibilities and Impact: Define and lead the AI/ML and applied data science roadmap for Enterprise Solutions, shaping high-rigor analytical capabilities across a complex, regulated global financial-services environment. Design, build, and operate production-grade models for anomaly detection, variance analysis, drift detection, forecasting, behavioural signals, and prediction, ensuring they are accurate, explainable, resilient, and regulator-ready. Own the full model lifecycle from problem framing, data exploration, feature engineering, back-testing, validation, deployment, monitoring, tuning, and incident response when models degrade or fail in production. Partner closely with engineering, data platform, product, and business teams to translate complex analytical problems into scalable, production-ready ML systems that deliver measurable operational and business outcomes. Act as a hands-on technical authority and multiplier, reviewing models, guiding senior practitioners, improving data quality and monitoring standards, and influencing decisions through deep expertise rather than formal authority. Gain high-impact exposure to senior technology leaders, market-facing financial-services platforms, regulated AI/ML practices, and global enterprise-scale transformation, with the opportunity to shape how advanced analytics and machine learning are applied safely and effectively in production. Compensation/Benefits Information: S&P Global states that the anticipated base salary range for this position is $177,036 to $350,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here . What we are looking for: 25+ years of experience in analytics, data science, and machine learning, with a strong track record of delivering and operating production-grade models within financial services or other highly regulated, high-availability environments. Deep expertise in applied data science and ML, including statistical modelling, predictive analytics, model development, validation, deployment, monitoring, and optimisation across the full model lifecycle. Strong hands-on technical skills, with the ability to work directly with data, code, ML frameworks, and complex datasets, while partnering effectively with software engineering and platform teams. Experience building scalable, reliable, and explainable AI/ML solutions that meet operational, governance, and regulatory requirements and deliver measurable business outcomes. Additional Preferred Qualifications: Pragmatic and outcome-oriented mindset, focused on delivering models that perform reliably in production and create tangible business value. Excellent communication and stakeholder management skills, with the ability to clearly explain modelling decisions, assumptions, risks, and limitations to both technical and non-technical audiences. Influential leadership and collaboration, capable of driving alignment and technical excellence across cross-functional teams without relying on formal authority. Coaching and mentoring capability, guiding and developing data scientists through technical reviews, knowledge sharing, hands-on support, and leading by example. Right to Work Requirements: This role is limited to persons with indefinite right to work in the United States. Return to Work: Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit . What's In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits: We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global. Our benefits include: Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global: At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Recruitment Fraud Alert: If you receive an email from a domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here . - Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person. 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Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing As a part of the Lockheed Martin community, we take on challenges and find solutions using creativity and collaboration. If you're looking to be a part of a passionate team solving these complex problems, then Rotary and Mission Systems is the place for you. The Work The Launchers Integrated Engineering team is seeking a Senior Member of Engineering Staff - Systems Engineer to support Launchers programs within Lockheed Martin's portfolio. The candidate should have the ability to develop requirements and documentation for the Launchers products, participate in System Requirement Reviews, and develop the big picture perspective of the Launchers solutions. Tasks for Senior Member of Engineering Staff - Systems Engineer on these projects include: • Executing Systems Engineering tasks throughout program lifecycles. • Developing systems requirements and decomposing to subsystem level requirements • Prepare for and support System Requirements Reviews (SRRs), and external interface discussions with customer organizations. • Supporting internal and external design reviews. • Develop diagrams and interfaces for Launchers Model-Based Systems Engineering (MBSE) efforts across multiple programs. Who We Are Lockheed Martin is a global aerospace, defense, and security company dedicated to advancing scientific discovery and harnessing innovation to make the world a safer place. Our RMS business in Moorestown, NJ is a hub of talented engineers, scientists, and professionals committed to shaping the future of defense technology. We value collaboration, excellence, and integrity in everything we do. As a part of our team, you will work alongside like-minded individuals dedicate Your Health, Your Wealth, Your Life Our flexible schedules, competitive pay and comprehensive benefits enable you to live a healthy, fulfilling life at and outside of work. Basic Qualifications • Bachelor's degree in an engineering or scientific discipline, plus 5 years' total experience • 3+ years of related experience with development and maintenance of system requirements • Must have strong analytical and problem solving skills and demonstrated ability to comprehend and work successfully with complex programs • Ability to obtain and maintain a security clearance at the Secret level Desired Skills • Masters degree in Systems Engineering or related field • Prior background working Launching Systems or similar programs • Prior experience with Rhapsody and/or CAMEO • Prior experience with DOORS Pay Information $91000.00 - $181113.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Additional specific benefits are dependent upon the business unit and the collective-bargaining agreement. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Job Description Job Description WHO WE ARE: Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK: At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? JOB TITLE: Senior Product Designer II LOCATION: Remote, US only THE ROLE You know how to read a funnel, identify where an experience is failing, and fix it with the same craft and precision you'd bring to anything else. You bring a clear point of view to ambiguous work, hold craft standards even when things move fast, and design toward outcomes you can actually measure. You'll work closely with our Principal Designer on Growth across the full scope of how Splice acquires, activates, and retains creators. WHO WE ARE Splice is a creative platform for people who make music. Serious producers choose Splice Sounds to bring their ideas to life. A subscription to Splice inspires and accelerates creative success for digital music creators with an industry-leading catalog of sounds and samples and an expanding AI stack. With a rent-to-own marketplace of DAWs and plugins, the Splice experience seamlessly integrates into any music production workflow, regardless of DAW (Digital Audio Workstation). Via Splice, an unparalleled team of sound designers and sample creators are fueling the success of a growing global community of chart-topping producers, students, and DIY creators. HOW WE WORK At Splice, DISCO is a rallying cry for collaboration, accountability, and unity within our organization; Direct, Inclusive, Splice Together, Creator Centric, and Optimistic. Our shared success depends on our ability to support one another, work well together, and communicate directly. By embracing flexibility and a unified approach, we can navigate anything that's thrown at us. Splice embraces a culture of remote work. You'll see your colleagues showing up from across the US and the UK. In order to keep us working well as a team, we have regular communication, including Town Halls, departmental all-hands and get-togethers. When you join Splice, you join a network of colleagues, peers, and collaborators. Are you ready? WHAT YOU'LL DO Execute high-quality design across the full growth scope. Onboarding, subscription and paywall experiences, referral programs, core site, and lifecycle moments. You carry the craft standard across all of it, from early concept through shipped product. Partner with our Principal Designer on Growth to shape what gets built. You bring a point of view early, share it clearly, and then hold it loosely enough to change your mind when the work proves you wrong. You contribute to product decisions, not just execute them. You push back if briefs are too vague and distill fuzzy input into clear design questions. Drive experimentation with rigor. You identify where experience and data signal a real problem, frame a hypothesis, design the variants, and interpret results to inform what comes next. You know what a good experiment looks like and what makes a bad one - including when they're scoped too small to tell you anything, aimed at the wrong lever, or when the result is actually pointing you at the real problem elsewhere entirely. Ship work that moves metrics. Success is concrete: more creators completing onboarding, stronger conversion through the subscription experience, lifecycle moments that bring people back. You'll see the numbers and know which ones you moved. Collaborate closely with Marketing, PMs, engineers, and data scientists. You build working relationships that make fast, high-quality shipping possible. You communicate trade-offs clearly and keep things moving without waiting on a handoff. Contribute to the design system. You build in a way that scales, flag inconsistencies when you see them, and contribute components when you identify gaps. Use AI-native tools as a standard part of your practice. Cursor, Claude, and similar tools belong in your daily workflow - for rapid prototyping, exploring directions, and accelerating execution. JOB REQUIREMENTS 7+ years of product design experience, with meaningful time in a growth, conversion, or retention context. You've shipped real work that produced real outcomes. Your portfolio shows a refined eye and a high standard of execution. Work that doesn't demonstrate this clearly won't move forward. You are already using AI-native tools (Cursor, Claude, or equivalent) as a standard part of your workflow. This is a baseline expectation, not a bonus. Experimentation fluency. You understand A/B testing, how to design for it, and how to read results without over-indexing on noise. Funnel thinking. You can map a conversion funnel, identify where experience quality and business outcomes diverge, and design toward a specific outcome without losing sight of the user. Metric fluency. You know which metrics matter for growth, how to interpret them in context, and how to set up a design decision so it can actually be measured. You work fluidly within established design systems and contribute back to them. You partner naturally with PMs and engineers. You influence product direction through your work and your thinking, not just your pixels. You can present work clearly at every stage, from rough concept to leadership review, and articulate the reasoning behind a design decision without a lengthy preamble. NICE TO HAVES A genuine connection to music and creator culture. You understand what it means to be mid-session, chasing a sound, making something. Front-end fluency (HTML/CSS/React). You can read and write code when it helps you move faster or communicate more precisely. Experience with subscription or marketplace business models. SPLICE BENEFITS: Compensation & Equity: Competitive pay with annual reviews and equity opportunities. Time Off: Unlimited PTO to recharge and thrive. Health & Wellness: Comprehensive medical, dental, and vision coverage for you and your dependents. Retirement Savings: 401(k) plan with immediate vesting and company match. Parental Support: 12 weeks of fully paid parental leave for non-birthing parents, and 18-20 weeks for birthing parents. Flexible Work Options: Work remotely or connect at our office hubs and creative spaces worldwide. Professional Growth: Annual learning budget, leadership programs, and team ambassador opportunities. Community & Connection: Inclusive events, team meet-ups, and vibrant Employee Resource Groups. The national pay range for this role is $160,000 - $200,000. Individual compensation will be commensurate with the candidate's experience. Splice is an Equal Opportunity Employer Splice provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job Description Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford, CT and New York City Offices. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

Job Description Job Description Trexquant is seeking a highly skilled Senior Data Architect to design and lead the next-generation architecture for our research and simulation data ecosystem. This role is central to unifying Trexquant's extensive collection of datasets-sourced from hundreds of vendors-into an accessible, efficient, and scalable data platform that supports simulation, research, and alpha generation across multiple asset classes. The successful candidate will architect the end-to-end data infrastructure that enables researchers and simulators to seamlessly discover, query, and combine datasets across equities, futures, FX, ETFs, corporate bonds, and options. This person will design data models, storage systems, and researcher-facing interfaces that make it easy to transform raw vendor data into structured, analysis-ready forms-empowering systematic research and robust backtesting. Responsibilities Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers. Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows. Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks values matrices for rapid hypothesis testing. Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs. Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors. Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability. Prototype and deploy internal data applications that enhance research productivity and data transparency. Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems. Requirements 7+ years of experience in data architecture, quantitative research infrastructure, or large-scale data engineering in a financial or research-driven environment. Proven experience designing and implementing scalable data storage solutions (e.g., columnar databases, time-series systems, object stores, or data lakes). Strong proficiency in Python and familiarity with modern data stack technologies (e.g., Parquet, Arrow, Spark, SQL/NoSQL, distributed file systems). Deep understanding of time-series and financial data modeling, including handling multiple vendors, instruments, and frequencies. Experience building data interfaces, APIs, or tools that serve researchers, data scientists, or quantitative analysts. Ability to translate research needs into efficient data schemas and access patterns. Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Mathematics, or a related quantitative field. Strong collaboration, communication, and documentation skills. Familiarity with cloud-based architectures (e.g., AWS, GCP, Azure) and modern data governance practices is a plus. Benefits Competitive salary plus bonus based on individual and company performance. Collaborative, casual, and friendly work environment. PPO health, dental, and vision insurance premiums fully covered for you and your dependents. Pre-tax commuter benefits. Weekly company meals. Applications are open for both Stamford, CT and New York City Offices. The base salary range is $175,000 - $200,000 depending on the candidate's educational and professional background. Base salary is one component of Trexquant's total compensation, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt. Trexquant is an Equal Opportunity Employer.

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 specific expertise in high speed mixed-signal design to lead the design, implementation, and deployment of custom electronic assemblies for the control system of our quantum computer. In this role, you will drive hardware strategy across multiple concurrent projects while remaining deeply engaged in the tactical engineering work This position is located in Boulder, Colorado, and will report to the Control Systems Manager. 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 quantum engineers and other groups 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 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. Experience in a full design cycle, from concept and schematic capture through to layout, fabrication, and initial board bring-up. Working knowledge of PCB design best practices and a keen attention to detail. Mixed signal design experience 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 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 About the Role We are building an AI-native data platform that powers fraud detection and response across 360 Fraud Protection. We are hiring a Staff or Principal Data Engineer to own the data platform and data lake at the heart of that work. You work hands-on and own the domain end-to-end, alongside a small group of senior engineers, data scientists and product partners. Owns the unified data platform and data lake that powers detection and response across 360 Fraud Protection. Every detection model and downstream AI capability depends on this data foundation, which makes it one of the highest-leverage engineering roles on the team. Stronger, broader and more reliable fraud signal directly improves detection accuracy, reduces customer losses and protects brand trust. Key Responsibilities Own the design, build and operation of the data lake and ingestion platform end-to-end, from architecture through production reliability. Build low-latency batch and streaming pipelines that ingest signals from internal and external sources, normalize them to a common schema, enrich them with context and serve model-ready data to the layers above. Make adding a new data source a routine task rather than a project, so our view of risk keeps widening over time. Establish data quality, freshness, completeness, lineage and observability so the platform is trustworthy enough to automate on top of. Build data pipelines that ground generative AI, including unstructured text and threat intelligence processing, embedding generation, vector storage and retrieval. Own deployment, CI/CD and operational reliability of the platform on Kubernetes. Partner with data science, product and architecture to turn the platform into a shared foundation across 360 Fraud Protection. Required Qualifications Extensive experience building and operating large-scale data platforms and data lakes, with comfort working at high data volumes. Deep, hands-on expertise with Apache Spark, Apache Flink and modern big-data systems. Proven command of best practices for building and maintaining data pipelines in both batch and streaming modes. Strong production engineering skills across the full delivery lifecycle, including Kubernetes and CI/CD tooling, with the ability to ship end-to-end. A track record of owning data infrastructure end-to-end with limited supervision. Preferred Qualifications Experience with generative AI and embedding models, including embedding pipelines, vector databases and retrieval. A cybersecurity or threat intelligence background, with hands-on exposure to threat types such as phishing, mobile threats and malware. Familiarity with transaction data and transaction fraud signals. Compensation Base salary range: $180 - $270 Bonus / commission: 15% Travel Minimal travel expected. This is an on-site role based in New York City, with 3-4 days per week in the office. AppGate is An Equal Opportunity/Affirmative Action Employer and a federal contractor subject to the Rehabilitation Act of 1973 and the Vietnam Era Veterans Readjustment Assistance Act of 1974 as amended, and their corresponding regulations. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class. Further, AppGate is an affirmative action employer committed to taking positive steps to employ, advance in employment and otherwise afford equal employment opportunity to protected veterans and individuals with disabilities. In furtherance of AppGate's policy regarding affirmative action and equal employment opportunity, AppGate has developed a written affirmative action program. This program is available for review upon request by any applicant or employee during normal business hours by contacting the company's EEO Coordinator.

Job Description Job Description About Astera Astera is a private foundation on a mission to steer science and technology toward a better future. We believe the coming years will bring an era of unprecedented scientific and technological advancement as exponential progress in AI converges with central advances in other fields to accelerate innovation. This inflection point provides an unparalleled opportunity to fundamentally rethink the institutions, systems, and tools that drive progress. We have committed a $3.5B endowment to that work and fit the form of our support to the function it serves: grants, investments, and in-house research programs. We accept meaningful risk in the research we back and expect some of it to fail because transformative ideas are rarely the ones already proven. Our projects, and the foundation itself, operate like high-velocity startups, with a high performance bar and competitive compensation to match. We are searching for leaders who are compelled by the challenge of driving high-impact change in the way science is funded, conducted, and communicated. You can read more about our mission, vision, and programming at astera.org/vision. About Astera Neuro Astera Neuro seeks to understand and engineer consciousness. We believe consciousness is the process by which the brain builds a coherent internal model of the world and the self. We aim to understand this model and to develop the technologies to write experience directly into the brain. By combining large-scale neural recording, causal perturbation, and brain-based AI, we seek to move neuroscience from observing correlates of experience to engineering it. The same tools carry direct therapeutic promise for neurological and psychiatric diseases that alter perception, thought, and sense of self. Because the science and tools required do not yet exist, we are assembling a founding team of neuroscientists, theorists, and engineers to create them. We do high-risk, high-reward science in a well-resourced, collaborative environment with competitive pay, and share everything openly under Astera's Open Science Policy. Position Summary Working closely with our experimental, surgical, and software teams, probe engineers here design and build the recording hardware - the probes, insertion mechanisms, and robotics that determine how much of the brain we can see, and how well. The role spans three tightly coupled problems: the probe (thin, flexible, high-density electrode arrays), the needle (the micro-machined tool that carries a probe past the meninges without damaging it or the tissue), and the robot (the precision system that places many probes quickly, accurately, and repeatedly while avoiding vasculature). You will move fluidly across mechanical design, microfabrication, and control, and you will own hardware from initial concept through benchtop validation and into the recording rig. We are hiring at multiple levels. As an Engineer, you will lead well-defined hardware projects with regular guidance. As a Senior Engineer, you will own hardware lines end-to-end, drive design decisions, and set fabrication and test strategy. As a Principal Engineer, you will define the probe and robotics roadmap, mentor engineers, and shape how mechanical, fabrication, and control work fit together at Astera. We will calibrate scope and title to your experience. What You'll Do Design flexible, high-density neural probes; thin-film polymer arrays (polyimide, Parylene C, or comparable) patterned with hundreds to thousands of microelectrodes, from layout through fabrication and encapsulation. Build probe-to-chip integration and the readout signal chain, bonding high-density electrode arrays to amplifier and acquisition electronics, and developing the low-noise front-end that amplifies, digitizes, and streams microvolt neural signals to the acquisition system. Design insertion needles and needle-pincher mechanisms; micro-machined and electrochemically etched tools that grasp, insert, and release flexible probes at micron-scale placement accuracy. Develop insertion strategies that solve the hard mechanics of putting a flexible thread into soft tissue; managing bending stiffness and buckling, temporarily stiffening the probe for insertion, and mitigating the forces that build up across many closely spaced insertions. Build a precision insertion robot; multi-axis motion, servo and linear-motor drives, and the real-time control that makes placement fast, accurate, and repeatable. Develop machine-vision guidance for the robot; imaging and computer vision that locate targets, guide the needle to them, and avoid surface vasculature during insertion. Build electrode characterization and process pipelines, impedance and electrochemistry (e.g., Pt, PEDOT coatings), yield, and reliability testing that turn a working prototype into a manufacturable part. Who You Are Required: Strong hands-on engineering across mechanical design and prototyping; you move fluently between CAD, the machine shop, and the benchtop. Experience building precision electromechanical or robotic systems (multi-axis motion, servo/linear-motor control, tight tolerance stacks). Familiarity with microfabrication and thin-film processes (photolithography, deposition, etching, cleanroom work), or a demonstrated ability to pick them up fast. Comfort with real-time control and the software that drives hardware (Python plus C/C++ or comparable; embedded, FPGA, or RTOS a plus). Working knowledge of the signal-acquisition chain - how low-level analog signals are amplified, digitized, and acquired - and comfort collaborating with electronics engineers on it. Genuine interest in building instruments for neuroscience, and in the tissue-mechanics constraints that make this problem hard. Preferred/Nice to Have: Flexible/thin-film electrode microfabrication (polyimide, Parylene C, PDMS) and electrode electrochemistry. Micro-machining and electrochemical etching of fine metal tooling (e.g., tungsten, tungsten-rhenium). Low-noise analog/mixed-signal front-end design for recording microvolt-scale signals (amplification, filtering, multiplexing, digitization). High-density interconnect and packaging; bonding fine-pitch electrode arrays to electronics (e.g., flip-chip, wire bonding, ACF, or comparable). Precision motion control, machine vision, or real-time closed-loop robotics. Surgical or medical-device hardware, including sterilization, sterile workflow, and design under regulatory constraints. Neural interfaces, MEMS sensors, or other implantable devices. Contributions to open-source hardware, instrumentation, or scientific-computing projects. Additionally Expected at Senior / Principal Level A track record of taking hardware from concept to working, validated device; owning design tradeoffs, fabrication, and test. Experience making and defending tradeoffs across precision, reliability, manufacturability, and biocompatibility. Comfort working across the stack, from mechanical design and fabrication to control software and system integration. A history of mentoring engineers or leading technical initiatives (Principal level). Education PhD with 3 to 12+ years of experience. Backgrounds in mechanical, electrical, biomedical, or materials engineering, mechatronics, robotics, applied physics, MEMS/microfabrication, or related fields are all welcome. Graduate work or research experience is a plus but not required. We value demonstrated skill and relevant experience above credentials. Compensation The posted salary range is based on location in the Bay Area. The successful candidate will receive a competitive compensation package, commensurate with their experience and location. Why Join Us Astera Neuro is hiring a probe engineer to design the flexible neural probes, insertion needles, and precision robotics that make large-scale recording possible: devices that place thousands of electrodes with micron precision while sparing the tissue around them. If you want to build the physical instrument at the heart of a new neuroscience, let's talk. Astera Neuro provides a comprehensive benefits package and total compensation that is competitive and commensurate with the level of experience and qualifications. We are an equal opportunity employer and value diversity and inclusion! Compensation Range: $200K - $350K

Job Description Job Description Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Big Data Visual Analytics, Explainable AI (XAI), Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, SIGGRAPH, TVCG. Job Description Job Responsibilites: Develop and lead research of AI projects that label, predict, classify, cluster, describe and fuse multi-sensor data (including acoustic, telemetry timeseries signals, vibration, radar, lidar, image, Wi-Fi, and ultrasound data), to improve / enable advance driver assistance system (ADAS) functionality in vehicles and AI functionalities in other Bosch products. Architect, design and validate multi-modal deep learning and Timeseries Foundation Models (TSFM) to work with multivariate time series signals. Must have a grasp of both low and high frequency models. Integrate and extend timeseries models to leverage information from other auxiliary modalities such as videos and images to enhance context understanding. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Stay abreast of the latest technological innovations, document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science, Electrical Engineering, Information Technology or a related discipline OR Masters degree with 2-3 years of preferred professional experience Expertise with Time Series FMs (beyond the time series task of forecasting) In-depth experience in signal processing for sensor data and their integration with deep-learning methods Proficiency in Python, PyTorch (including libraries such as torchaudio, torchvision, torchmetrics), familiarity with PyTorch Lightning A strong publication record in relevant venues such as ICASSP, NeurIPS, InterSpeech, ICML, ICLR, KDD, ICRA, CVPR, ICCV, ECCV or equivalent contributions to the field such as patents or significant open-source projects Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications 3+ years of experience in industrial research Experience with one or more of the following areas: data-centric AI, synthetic data generation, agentic AI Proficiency with version control systems (Git), integrated development environment (VSCode or PyCharm) and experience with experiment tracking tools (MLFlow) Familiarity with high-performance computing systems and job schedulers (Slurm, LSF) Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience leading projects with small teams, demonstrating the ability to mentor junior researchers and interns, manage project timelines, and deliver results within time constraints Additional Information Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success! Equal Opportunity Employer, including disability / veterans Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. The U.S. base salary range for this full-time position is $165,000 - $ 195,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your Recruiter can share more details about the specific salary range for this position during the interview process.