Provide basic to intermediate analysis and documentation of business and management problems for systems and programming requirements, supporting multiple ancillary systems and their integrations.
Compensation
Actual salary commensurate with experience.
Responsibilities
Learn and provide support for multiple ancillary systems and their integrations with transactional systems
Work closely with the team to ensure seamless system operations and support
Self‑motivated with the ability to manage projects to completion with oversight
Collaborate closely with customers and stakeholders at all organizational levels to enhance their understanding and effective utilization of supported systems
Demonstrate strong troubleshooting and problem‑solving skills to resolve issues related to supported applications while effectively managing system changes and enhancements
Requirements
Bachelor’s degree equivalent
Bachelor’s degree or equivalent in Computer Science
Nice to have: Computer Science degree
Nice to have: Two years of experience working in IT
Lead launch operations and propulsion testing for Relativity Space’s Terran R rocket, overseeing real‑time decision making, system integration, and data analysis during live launches.
Compensation
$185,000—$277,000 USD
Responsibilities
Own critical systems in launch control room during live rocket launches
Conduct complex propulsion tests and launch operations
Create and optimize automated test sequences, procedures, and data review processes
Command and monitor launch pad and flight hardware through GUIs and integrated control
Perform hardware setup, system configuration, and cross‑disciplinary troubleshooting
Requirements
Bachelor’s degree or higher in Aerospace, Mechanical, Electrical, Computer, Software Engineering, or Computer Science
Nice to have: rocket subsystems knowledge
Nice to have: propulsion test support
Nice to have: intermediate programming proficiency
As a Platform Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer’s primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues.
Develop and own the technical account plan and strategy, participating in planning and supporting targeted sales motions.
Combine sales, programming, and solutions architecture expertise to prove the value of Google Cloud Platform across the portfolio through complex demos, pilots and in-depth workshops.
Architect cross-pillar solutions, drive technical wins, and define initial delivery plans for customers; continue to lead the technical engagement in the solution phase.
Facilitate the post-sales transition by supporting pricing activities and transitioning the final delivery plan to implementation teams.
Maintain awareness of progress against the delivery plan, providing support to cross-functional teams during ramp, delivery, migration or implementation phases.
Requirements
Bachelor's degree or equivalent practical experience
Nice to have: Infrastructure Modernization
Nice to have: Application Modernization
Nice to have: Data Management
AI Software Engineer, Multimodal Agentic AI for Glasses
Play a technical leadership role at the forefront of developing groundbreaking multimodal agentic AI solutions for smart glasses.
Take ambitious, ambiguous AI capabilities from initial research and rapid prototyping to flagship production launches.
Own the end-to-end technical direction and quality of core pillars, driving model and agent quality improvement through data optimization, evaluation benchmarks, system prompting, skill and tool use, Agent harness, and model post-training to deliver an instant, natural, and immersive experience for users.
Requirements
Bachelor’s degree or equivalent practical experience
Master's degree or PhD in Computer Science or related technical field
Faculty responsible for developing and delivering data analytics courses to undergraduate and graduate students, integrating technology and responsible AI practices.
Locations (4)
Arizona, United States
California, United States
Indiana, United States
Pennsylvania, United States
Compensation
Pay may vary in most states from $1500-$2700 per 8-week session. Pay in the states of AZ, CA, IN and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour.
Responsibilities
Develops and provides students with an approved DeVry University syllabus that follows a template established by the local campus
Lead our pioneering AI initiative at AWS and define the future of AI agents. Shape how businesses leverage artificial intelligence by creating foundational building blocks used across AWS business applications.
Compensation
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Responsibilities
Own the technical architecture and strategy for a critical AI agent capability area, setting the foundation for enterprise-scale AI solutions across AWS
Lead projects requiring multiple engineers, balancing business goals with technical excellence while navigating ambiguous problem spaces
Research, evaluate, and integrate state-of-the-art AI technologies, making informed decisions about build vs. leverage approaches
Design and implement reusable AI components that meet enterprise-grade quality standards while simplifying complex technical challenges
Drive consensus across teams with different priorities and perspectives to create unified AI building blocks
Requirements
Bachelor's degree in computer science or equivalent
Nice to have: 10+ years of full software development life cycle
Executive Director, AI/ML — Forecasting, Constraint Optimization, and Recommendation Systems
Lead the creation and operation of a complex, constraint-based optimization and recommendation ecosystem supporting the bank’s operations, integrating time-series predictions and demand forecasts with optimization models.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Lead the design and delivery of a complex constraint-optimization recommendation system
Formulate global, system-wide optimization objectives and constraints
Develop and validate time-series and demand-driven predictive models
Build and lead a multidisciplinary team of applied AI/ML researchers, optimization specialists, and engineers
Drive significant business stakeholder management across executive leadership and product, business, analytics, data, and engineering partners
Requirements
PhD in Computer Science in Artificial Intelligence, Operations Research, or a closely related quantitative discipline
Nice to have: advanced research or specialized doctoral work at the intersection of AI/ML, time-series forecasting, demand modeling, and constraint optimization
Nice to have: deep experience with distributed infrastructure
Nice to have: deep experience with distributed ML and scalable optimization
Nice to have: deep experience with production model lifecycle management
Lead the strategy, architecture, engineering, and lifecycle management of enterprise email security platforms protecting critical business communications.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Lead the strategy, architecture, engineering, and lifecycle management of enterprise email security platforms protecting critical business communications.
Define and drive the roadmap for email security capabilities, including secure email gateways, phishing protection, threat detection and response, encryption, data loss prevention (DLP), and cloud-based security services.
Serve as the technical authority for email security architecture, ensuring solutions align with cybersecurity, resiliency, regulatory, and multi-level security requirements.
Partner with Cyber, Technology, Risk, Compliance, Audit, and business stakeholders to assess threats, prioritize investments, clarify security requirements, and manage security risk.
Lead complex engineering and modernization initiatives from concept through deployment, including proof-of-value evaluations, migrations, technology upgrades, and platform transformations.
Senior Data Analytics Engineer responsible for designing, building, and maintaining data pipelines, integration workflows, and analytics solutions to support government and enterprise decision-making.
Compensation
The projected compensation range for this position is $77,500.00 to $176,000.00 (annualized USD).
Responsibilities
Design and maintain data pipelines, ETL/ELT workflows, and data integration solutions
Integrate data from enterprise sources such as SharePoint, databases, or APIs
Develop dashboards, KPIs, and reporting solutions using Power BI or Tableau
Use SQL and programming or scripting languages for data transformation, analytics, automation, and reporting
Develop analytical solutions to identify trends, measure performance, and support operational decision-making
Organizes, prepares, and regularly revises and updates all course materials
Uses appropriate technological options for online technologies and course-related software, including Websites, e-mail, and online discussions for preparing the course and making it accessible to students
Models effective oral and written communications that engage the students, provide clarity, and improve student learning
Sets clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories
Requirements
Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field
18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
Nice to have: industry certifications in data analytics, data science, or business intelligence platforms
Nice to have: experience with data management and analytics ecosystems
Nice to have: experience with data governance and data lifecycle management
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
Principal Launch Operations EngineerNewRelativity Space · Cape Canaveral, US
Customer Engineer, Platform, Google CloudNewGoogle · Seattle, US
Online Visiting Professor of Data AnalyticsDeVry University · US+3 more
Senior Software Development EngineerInovalon · Tampa, US+2 more
Sr Software Engineer, AWS Applied AI Solution – Core ServicesAmazon · Seattle, US
Executive Director, AI/ML — Forecasting, Constraint Optimization, and Recommendation SystemsJPMorgan Chase & Co. · New York, US
Data Analytics EngineerBooz Allen Hamilton · Charlottesville, US