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Job ID: 716321BR Date posted: Mar. 02, 2026 Description:What We're Doing Lockheed Martin is shaping the future of defense through cutting edge radar and missile defense technologies, and we want you to help write the next chapter. As the premier developer of active electronically scanned array (AESA) radars and integrated air and missile defense solutions for the U.S. military, our allies, and more than 45 nations worldwide, we deliver world class situational awareness, early warning, and kill assessment capabilities in the most demanding environments. Join a global team of engineers, software developers, and cyber experts who turn complex challenges into reliable, next generation systems that keep warfighters ahead of emerging threats. Your talent will power everything from space domain awareness to ground based radar testbeds, ensuring the safety of today's forces and the security of tomorrow's world. The Work: In this position, you will • Contribute to technical planning, system development and design, requirements allocation, detail trade studies, verification and validation, cost and risk, test ability, and manufacturability. • Support top level architecture design, mission planning, requirements decomposition, and traceability. Lead development and maturation of RF design through entire program lifecycle. • Interface with subject matter experts and providers of various subsystem products and technologies. Provide RF manufacturing support to include assembly and test. • Develop work instruction planning, and manufacturing support, designing with manufacturability in mind. Perform cascade analysis, modeling, simulation, troubleshooting, and test of Various RF Subsystems, circuits, and components. • Develop and manage RF systems engineering program plans for cost and schedule, as a self-sufficient RF Hardware Design Engineer who can lead teams of RF engineers, and independently determine and develop approaches to solutions. • Collaborate through effective communication skills with interdisciplinary teams, cross-Business Areas, and customers to appropriately communication status and results. • Provide solutions to difficult technical issues associated with specific projects. Who we are: Syracuse, NY is a vibrant city located in the heart of upstate New York. With a rich history and culture, there's always something to see and do in Syracuse. From the historic architecture and charming neighborhoods to the thriving arts scene and delicious food, there's something for everyone here. Visit Our Syracuse site Virtually! Why Join Us: 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. Learn more about Lockheed Martin's competitive and comprehensive benefits package. Explore some of the cutting edge technologies we support: Basic Qualifications: - Bachelors degree in a related discipline with 8 years of professional experience. - Experience with the application of electromagnetics and RF theories. - Experience with RF board design and construction, including material selection. -Experience with RF analysis tools, such as ADS, HFSS, or equivalent. - Knowledge of analog circuits, design, and analysis, schematic capture and layout tools. - Experience leading cross functional team and managing cost and schedule. - Experience developing trade studies. - Experience performing RF testing using VNA, RSA, Spectrum analyzers, etc - Ability to obtain and hold a DoD Secret Security clearance. U.S. Citizenship is required. Desired Skills: - familiar with lab equipment such as oscilloscopes, spectrum analyzers, Digital Volt Meters, Vector Network Analyzers, etc. - Experience with T/R Module and Antenna design. - Experience guiding development of technology from design to production, including development of the necessary RF design artifacts. -Experience developing requirements at assembly and subassembly level. - Experience developing advanced technical ideas and presenting them effectively to internal and external customers. - Experience leading and inspiring multidiscipline hardware development teams and managing cost and schedule. -Experience with Antenna array Design. - Experience with MS Office tools. - Experience with Matlab, Test Eval Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $145,200 - $255,990. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. 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. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in most major metropolitan areas in California, Massachusetts, and New York is $167,000 - $289,340. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information 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 and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: Possible Career Area: RF Engineering Type: Full-Time Shift: First

DIRECTOR OF DATA ANALYTICS, Institutional Research Job Description DIRECTOR OF DATA ANALYTICS, Institutional Research Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 11/10/2025 Salary Grade Grade 53 Expected Hiring Range Minimum $170,000.00 Expected Hiring Range Maximum $190,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experiences to join our innovative and inclusive community. The Director of Data Analytics is a technically proficient and strategic leader responsible for designing and delivering a sophisticated analytics program that supports data-informed decision-making by senior leadership and central administration at Boston University. This position requires deep technical fluency in Python, SQL, machine learning, and statistical modeling, alongside the ability to translate advanced analyses into actionable institutional insights. The Director delivers high-impact data products including predictive models, statistical analyses, executive dashboards, and scenario simulations to support institutional planning, resource allocation, policy development, and performance assessment. This role is critical in advancing a modern, scalable analytics infrastructure and in developing cutting-edge models that directly inform areas such as enrollment forecasting, student success, and operational optimization. In collaboration with the Data Engineering team and analysts in Analytical Services & Institutional Research, the Director contributes to the University Data Library an integrated resource offering coordinated access to data, reports, and business intelligence tools. The role is essential to enrollment management and institutional forecasting, providing robust, technically sound models and decision frameworks that support the financial sustainability of the university. The Director leads a team of analysts and works across academic and administrative units to foster a culture of advanced analytics and evidence-based planning aligned with Boston University's strategic goals. Responsibilities: Advanced Analytics & Insight Generation: Develop predictive models and machine learning algorithms to support strategic initiatives like student success, enrollment forecasting, and space optimization. Extract actionable insights from complex datasets to inform university-wide decisions. Develop an analytics program that includes evaluation of academic and administrative efforts for potential improvement and growth. Analytics and Data Infrastructure: Build scalable analytics tools, automated reporting and processes, and secure reporting environments. Collaborate across departments to enhance data access, governance, and integration for improved decision-making. Reporting and Insight Delivery: Deliver clear, tailored reports and dashboards for senior leadership, ensuring accuracy and relevance in KPI tracking, benchmarking, and compliance. Leadership and Team Development: Lead and mentor analytics staff, promote best practices in data science, automation, and foster collaboration across academic and administrative units. Stakeholder Engagement: Serve as a liaison to campus and external groups, and champion data literacy among non-technical stakeholders. Required Skills Qualifications: Bachelor's degree in statistics, data science, computer science, applied mathematics, higher education, or a related field. Master's or PhD preferred but not required. 8+ years of progressively responsible experience in data analytics, data science, or institutional research. Advanced proficiency in Python, SQL, and R for data modeling, cleaning, and analysis. Hands-on experience with machine learning frameworks and statistical modeling. Proficiency in data visualization platforms and programming libraries (e.g., Tableau, Power BI). Strong understanding of data engineering practices, including pipeline design, version control, and workflow orchestration. Exceptional communication skills with the ability to articulate complex analyses to non-technical audiences and senior leadership. Demonstrated success leading analytic teams and managing high-impact, cross-departmental projects. Bonus Qualifications: If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn. Higher education experience is ideal but not required. Demonstrated experience with enrollment management concepts, modelling, and applications. Experience in an R1 university or similarly complex academic institution. Familiarity with higher education data systems (e.g., SIS, HRIS, LMS) and national higher education data sources (e.g., IPEDS, NSF HERD, Common Data Set). Knowledge of higher education policy, strategic planning, or institutional effectiveness frameworks. Knowledge of data governance practices, metadata management, or semantic modeling. Experience with cloud platforms (e.g., AWS, Azure) and modern data stack tools (e.g., dbt, Airflow). Boston University offers an excellent benefits package including: Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $170,000.00-$190,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-0e0b7071c36c664ea68bd797f239918f

Software Developer School of Engineering, Stanford, California, United States Information Technology Services Nov 25, 2025 Post Date 107811 Requisition # Note: This is a 1 year fixed term position. Visa sponsorship is not available for this position. All candidates must be eligible to work and live in the U.S. This position has been deemed critical by the School of Engineering Dean's Office and is exempt from the hiring freeze. The School of Engineering Stanford Engineering has been at the forefront of innovation for nearly a century, creating pivotal technologies that have transformed the worlds of information technology, communications, health care, energy, business and beyond. Our faculty and students are creative risk-takers who pursue excellence across a breadth of disciplines. Our alumni include some of the world's most successful leaders in technology and business. Our staff are critical to enabling Stanford Engineering to accomplish its mission: seeking solutions to some of the world's most urgent challenges and educating leaders who will make the world a better place through the power of engineering principles, techniques and systems. The Stanford Vision and Learning Lab (SVL) at SAIL within the Computer Science Department addresses the theoretical foundations and practical applications of computational vision. We are focused on discovering and proposing the fundamental principles, algorithms, and implementations for solving high-level visual perception and cognition problems involving computational geometry, automated image and video analysis, and visual reasoning. At the same time, our curiosity leads us to study the underlying neural mechanisms that enable the human visual system to perform high level visual tasks with amazing speed and efficiency. The Stanford Vision and Learning Lab (SVL) is looking for a full-time Software Developer to develop software for exciting research projects related to robotics. The main focus of this position will be related to a core project of SVL, the BEHAVIOR benchmark, a platform on which robots can learn to solve household activities like washing dishes or cleaning floors. Built on our OmniGibson simulation platform, BEHAVIOR is a combination of simulation software and data assets intended to support robot learning use cases, such as training learning-based agents (e.g. in paradigms such as Reinforcement Learning or Imitation Learning), with the long-term goal of enabling the development of advanced robots to help humans with everyday activities. To effectively enable robot learning workflows, BEHAVIOR needs to be high-performance and high-realism. The goal of this position is to contribute to the development of BEHAVIOR in these directions and help us lead it to widespread adoption as a performant and easy-to-use robot learning platform. You can find out more about BEHAVIOR on . In this position, you will co-lead the project under the guidance of the SVL faculty to gain first-hand experience in developing software for advanced, impactful research. You will have the chance to join us as an author on papers we publish at top AI conferences such as CVPR/NeurIPS/ICRA/CoRL. In this role, you will: Conceptualize design, implement, and develop solutions for complex system/programs independently. Take ownership of the above open-source projects as their lead maintainer. Interact with an internal and external client base to gain information and triage and address bugs. Document system builds and application configurations; maintain and update documentation as needed. Work as a project leader, as needed, for projects of moderate complexity. Responsible for CI pipeline, conducting code reviews, etc. Develop and maintain robotics simulation software (including features of physics simulation, AR/VR, rendering, task and motion planning, reinforcement learning, etc.), using platforms such as pyBullet and NVIDIA Omniverse. Mentor lower level software developer. Education & Experience (Required): Bachelor's degree and five years of relevant experience, or a combination of education and relevant experience. Knowledge, Skills, & Abilities (Required): Expertise in designing, developing, testing, and deploying applications. Proficiency with application design and data modeling. Ability to define and solve logical problems for highly technical applications. Strong communication skills with both technical and non-technical clients. Ability to lead activities on structured team development projects. Ability to select, adapt, and effectively use a variety of programming methods. Knowledge of the application domain. Education & Experience (Desired): Experience with software design and development, particularly in Python and C++. Experience with active practice of Git-based CI/CD workflows. Experience with Docker/container frameworks. Experience developing and maintaining open source software. Familiarity with the fundamentals of linear algebra, robotics, and computer graphics. Experience with machine learning algorithms and tools (e.g. PyTorch, Tensorflow). Working Conditions: May work extended hours, evening and weekends. Physical Requirements: Constantly perform desk-based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, writing by hand. Rarely use a telephone, lift/carry/push/pull objects that weigh up to 10 pounds. Work Standards: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, Pay Range: The expected pay range for this position is $138,402 to $163,985 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford's extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Why Stanford is for you: Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with: Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. Join a TedTalk, film screening, or listen to a renowned author or global leader speak. A caring culture. We provide superb retirement plans, generous time-off, and family care resources. A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! How to Apply: We invite you to apply for this position by clicking on the "Apply for Job" button. To be considered, please submit a cover letter and résumé along with your online application. The cover letter should briefly describe why you believe you are a good fit for this position. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status . click apply for full job details