Nvidia Confidential Computing Aws Jobs in Usa
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Salary range:
The posted UC academic salary scales set the minimum pay determined by rank and/or step at appointment. See the following table for the current salary scale for this position: . The current full-time salary range for this position is $101,198 - $199,722.
Percent time:
FTE/Percent may vary based on departmental needs. Positions typically range from 17% -100% time in a given semester.
Anticipated start:
Academic Year: July 1
Fall semester (only): August 1
Spring semester (only): January 1
Summer (only): May-August
Review timeline:
Appointments for summer sessions are usually reviewed in February. Appointments for the fall and spring semesters are usually reviewed in March.
Application Window
Open date: June 10, 2025
Most recent review date: Sunday, Feb 15, 2026 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Monday, Feb 1, 2027 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley invites applications for a pool of qualified temporary instructors to teach Electrical Engineering or Computer Science courses should an opening arise. These are not tenure-track positions - selected candidates will hold the title of Lecturer. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester, depending on the needs of the department. Due to budget restrictions, no funding is available for visa or relocation expenses.
In addition to lecturing responsibilities, general duties for these positions include holding office hours, assigning grades, advising students, preparing course materials (e.g. syllabus), and maintaining a course website.
The department seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy in higher education through their teaching. UC Berkeley has an excellent benefits package as well as a number of policies and programs to support employees as they balance work and family, if applicable.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the Department is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Labor Contract:
Department:
Division:
School:
Qualifications
Basic qualifications (required at time of application)
The minimum qualification required to be considered an applicant for the position is a Bachelor's degree (or equivalent international degree). Must be met by the time of application.
Additional qualifications (required at time of start)
The following additional qualifications are required by the start date of the job. Advanced degree or four years teaching and/or industry experience.
Preferred qualifications
Experience in teaching courses in Electrical Engineering or Computer Science, particularly courses with 200+ students. Experience managing large course staff.
Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Application Requirements
Document requirements
Cover Letter (Optional)
Curriculum Vitae - Your current and updated C.V.
Statement of Teaching - Please discuss prior teaching experience, qualifications (including teaching evaluations, if available), teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
The teaching statement must include information on the course(s) the applicant is qualified to teach (after reviewing our list of courses: academics/courses).
Courses of particular interest in the Computer Science division include CS 10, CS 61A, CS 61B, CS 70, CS 88, CS C8, CS C100, CS 160, CS 169, CS 170, CS W186, CS 188, CS 189, CS 194-100*, CS 195, CS 370, and CS 375. *Note: Candidates qualified to teach CS 194-100 possess teaching experience and a background covering the intersection of social justice and technology.
Courses of particular interest in the Electrical Engineering division include EE 16A , EE 16B, EE 192, and EE 247B.
Reference requirements
- 3 required (contact information only)
References will only be contacted at the finalist stage. We will seek candidate permission before contacting references.
Apply link:
JPF04955
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
LocationAtlanta, Georgia
Full/Part TimeFull-Time
Regular/TemporaryRegular
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About Us
Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
About the College of Computing at the Georgia Institute of Technology
The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering.
Location
Atlanta, GA
Job Summary
The College of Computing at the Georgia Institute of Technology invites nominations and applications for the position of Chair of the School of Computing Instruction for the Atlanta campus located in midtown Atlanta, Georgia. The Chair will have the opportunity to build upon the success of the School and the College of Computing. With more students graduating with a Computer Science degree than any other major at Georgia Tech and the Institute's requirement that every student complete at least one programming course, quality instruction on the foundations of computing has never been more important. The School of Computing Instruction (SCI) was created to serve these critical needs within Georgia Tech and beyond. Our award-winning teaching-focused faculty have three core missions:
Platform for Creativity and Innovation. SCI's creative faculty boldly experiment with new ideas and approaches to pedagogy, while continually re-examining proven methods to ensure their approach is effective and practical across a different set of courses and students. Ultimately, we consider SCI a platform for meaningful experimentation and invite collaborations both within and beyond Georgia Tech to further push the envelope in computing education research, practice and outreach.
Scalability of Computing Instruction. SCI's faculty design and serve as primary instructors for the College's array of introductory computer science courses, direct the junior design/capstone program for our undergraduate computing majors, and teach a selection of upper-division and graduate level courses that reflect our faculty's varied interests. At the undergraduate level, SCI faculty teach a third of the College's 1000-4000 level course offerings or half of the nearly 9000 undergraduate computing course seats each semester. Further, we reach tens of thousands of GT graduate students and non-GT students through special initiatives, such as MOOCs and the state of Georgia's dual enrollment high school program.
Transparency and Meaningful Dialogue. While the main source of recognition we desire is from the numerous learners our faculty reach, we seek to foster meaningful dialogue and to share what works and what does not work in practice, in order to inspire others to attempt new ideas in computing education. We will use SCI's platform to encourage the distribution of information and (of course) to learn from others. We aspire to be leaders in the conversation on computing education.
Responsibilities
Reporting to the Dean of the College of Computing, the Chair has overall responsibility for the academic program in the School of Computing Instruction specifically focusing on all budgetary, administrative, academic, fiscal, and personal decisions in conjunction with the mission and goals of the College and Georgia Tech. The chair must have a forward-thinking strategic vision, the ability to implement that vision, and the necessary skills to lead a group of faculty and staff. Additionally, the Chair will provide overall leadership for all the school's teaching components at the undergraduate level. The Chair should establish collaborative and interdisciplinary relationships with others Computing School Chairs, with other leaders in the College, as well as all internal and external constituents at Georgia Tech and abroad. They must be able to build successful partnerships with executive leaders at Georgia Tech. Fostering community engagement and industry relationships should also be primary goals for the incoming Chair. Finally, the successful candidate must demonstrate a commitment to Georgia Tech Core Values.
Required Qualifications
The ideal candidate will:
- Have a Doctorate in Computer Science, Engineering, or a related field;
- Be a Senior Academic or Teaching Faculty (equivalent or above) in a premier department at a research university;
- Have demonstrated strong leadership and team building skills;
- Have experience with strategic planning and vision development;
- Have facility with fiscal management and administrative oversight;
- Embrace participative management and open decision-making;
- Care about the personal and educational enrichment of faculty, staff, and students;
- Have a proven record of achieving external visibility and experience working with development;
Required Documents to Attach
Candidates should provide the following with their application:
- CV
- Letter of application
- Online link(s) to one or more teaching samples (e.g., course websites, lecture slides, assessments, sample video)
Apply Before Date
Applications should be submitted by December 1, 2025, for full consideration. Your application will remain confidential (known only to the search committee) until its final stage. For finalists, we will ask for the names of 5 references to contact for letters of support.
Applications should be submitted via the Georgia Tech Careers website, careers/, Job ID: 284703.
Contact Information
Inquiries may be directed to Dr. Sashank Varma, Search Committee Chair and Professor of Interactive Computing, at . Please be sure to put "Chair - School of Computing Instruction" in the subject.
USG Core Values
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.
Equal Employment Opportunity
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (USG) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individuals race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
Background Check
The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.
Other Information
Work allocation is 30% teaching, 5% research/scholarship, 10% service, and 55% administration. For additional information please click on the link below.
chair-search-school-computing-instruction
LocationAtlanta, Georgia
Full/Part TimeFull-Time
Regular/TemporaryRegular
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About Us
Overview
Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.
About Georgia Tech
Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.
Georgia Tech's Mission and Values
Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:
1. Students are our top priority.
2. We strive for excellence.
3. We thrive on diversity.
4. We celebrate collaboration.
5. We champion innovation.
6. We safeguard freedom of inquiry and expression.
7. We nurture the wellbeing of our community.
8. We act ethically.
9. We are responsible stewards.
Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.
About the College of Computing at the Georgia Institute of Technology
The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering.
Location
Atlanta, GA
Job Summary
The College of Computing at the Georgia Institute of Technology invites nominations and applications for the position of Chair of the School of Computer Science for the Atlanta campus located in midtown Atlanta, Georgia. The Chair will have the opportunity to build upon the success of the School and the College of Computing. The school has 3 PhD programs in ACO, Computer Science, and Machine Learning as well as Masters and Bachelor degrees which are managed by the College. The School of Computer Science is a leader in the following areas of specialization: Computer Architecture, Data Systems and Analytics, Foundations of Artificial Intelligence, Networking, Programming Languages and Compilers, Software Engineering, Systems, and Theory. The school has academic faculty, endowed chairs, research faculty, postdocs, adjunct faculty, and classified staff along with several research centers.
Responsibilities
Reporting to the Dean of the College of Computing, the Chair has overall responsibility for the academic and research programs in the School of Computer Science specifically focusing on all budgetary, administrative, academic, fiscal, and personal decisions in conjunction with the mission and goals of the College and Georgia Tech. The chair must have a forward-thinking strategic vision and the appropriate skills to lead a group of faculty and staff. Additionally, the Chair will provide overall leadership for all the school's teaching and research components at the undergraduate and graduate levels. The Chair should establish collaborative and interdisciplinary relationships with others Computing School Chairs, with other leaders in the College, as well as all internal and external constituents at Georgia Tech and abroad. They must be able to build successful partnerships with executive leaders at Georgia Tech. External affairs, community engagement, and industry relationships should also be primary goals for the incoming Chair. Finally, the successful candidate must demonstrate a commitment to Georgia Tech Core Values.
Required Qualifications
The ideal candidate will:
- Have a Doctorate in Computer Science, Engineering, or a related field;
- Be a Full Professor with tenure in a premier department at a research university;
- Have a proven record of achieving external visibility and funding;
- Have demonstrated strong leadership and team building skills;
- Care about the personal and educational enrichment of faculty, staff, and students;
- Have experience with strategic planning, administrative oversight;
- Fiscal management, and vision development;
- Embrace participative management and open decision-making.
Apply Before Date
You will need to submit your CV, a letter of application, 5 references, and other supporting documents no later than January 06, 2025, for full consideration. Your application will remain confidential (known only to the search committee) until its final stage, at which point, with your permission, we will contact your references and request letters of support.
Applications should be submitted via the Georgia Tech Careers website, careers/, Job ID: 275176, and your reference letter information should be submitted at Academic Jobs Online, located at: ajo/jobs/29304
Contact Information
Inquiries may be directed to Jilleon Ivey, Director of HR, at . Please be sure to put "Chair - School of Computer Science" in the subject.
USG Core Values
The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at policymanual/section8/C224/#p8.2.18_personnel_conduct.
Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at policymanual/section6/C2653.
Equal Employment Opportunity
The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The University is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and University policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.
Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of race, ethnicity, ancestry, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. This prohibition applies to faculty, staff, students, and all other members of the Georgia Tech community, including affiliates, invitees, and guests. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.
More information on these policies can be found here: policymanual/section6/c2714 Board of Regents Policy Manual | University System of Georgia ( ).
Other Information
Workload allocation is 55% administration, 20% research, 20% teaching, and 5% service.
Background Check
The candidate of choice will be required to pass a pre-employment background screening. employment/pre-employment-screening.
Optomi, in partnership with a leading logistics company is seeking a Senior Full Stack Java Developer (Java / Kafka / Spring Boot / AWS) to support and modernize critical systems within the Mechanical organization. This team maintains locomotives, railcars, and detector systems that capture millions of operational and safety data points across the network.
About the Position: The role focuses on refactoring legacy microservices, scaling event-driven architectures, re-platforming rules engines, and building cloud-native, resilient, high-volume IoT data pipelines. This is a high-impact engineering role where your work directly influences safety, reliability, and operational efficiency across one of the largest transport networks in the US.
Apply Today if your Background Includes:
- 6+ years of Full Stack experience with a backend emphasis in Java Spring Boot development.
- Strong event-driven architecture + Kafka experience
- Proven experience modernizing legacy microservices & distributed systems
- AWS Cloud experience
- Hands-on Python experience for backend/data workflows
- DevSecOps mindset: automated testing, CI/CD, secure coding
- Experience supporting both greenfield and legacy systems
- Strong relational DB experience (Postgres preferred)
- Experience handling IoT or high-volume sensor data pipelines
- Familiarity with open-source tooling and cloud-agnostic architectures
- Ability to mentor junior engineers and provide technical leadership
What the Right Professional Will Enjoy!
- Fully remote work opportunity with up to 20% travel.
- Opportunity to work with a fast-growing team focused on modernization, cloud adoption, and automation.
- Direct impact on safety, rail operations, and national freight logistics.
- Work on high-volume IoT, event-driven architectures, cloud-native systems.
- Exposure to AI/GenAI, automation, and open-source tooling
- Leadership opportunities with junior developers
Responsibilities:
- Modernize legacy microservices and distributed systems supporting mechanical operations and detector networks.
- Design and implement backend services using Java, Spring Boot, event-driven patterns, and Kafka.
- Scale and optimize high-volume IoT data pipelines (30M+ incoming data points from sensors/detectors).
- Lead architecture, design, and deployment efforts for new and existing services.
- Refactor and support large rules-engine frameworks (600+ rulesets).
- Contribute to cloud-native development (AWS preferred; Azure acceptable; cloud agnostic mindset encouraged).
- Use Python for backend workflows, automation, and data processing tasks.
- Build automated CI/CD and testing frameworks following DevSecOps best practices.
- Work with Postgres and relational databases to tune, model, and integrate data.
- Mentor junior developers and support a strong engineering culture focused on speed, clarity, and automation.
- Collaborate across teams to build scalable, modern systems.
- Support both new development and the existing application footprint.
Remote working/work at home options are available for this role.
18 months contract ; May extend or convert to FT
Onsite from Day 1
Candidates must have strong verbal communication skills and be able to describe their experience in details and explain their thought process in how they solve certain problems.
* Looking for strong senior backend Scala developer preferably with AWS Cloud experience
* A coding exercise is required as part of the interview process.
* Position will be onsite until further notice
JOB DUTIES: Working within an agile team, develop scalable backend software, using TDD. Develop Scala/Java applications running in an AWS environment.
REQUIRED experience:
*5+ years hands-on experience with Scala
*Profound insight of Scala Internals (Class loading, Memory Management, Concurrency, Futures, Multithreading.)
*Building low-latency & high volume, distributed, scalable and reliable backend systems
*RESTFul APIs
PREFERRED experience:
*AWS
*Cats Effect, Http4s, Fs2, Akka
*Spring
*Frontend experience a plus
*Deere experience a plus
Azure/AWS Cloud Administrator (AI Deployment)
Bloomfield, CT
6 months to long term
contract
Experience :10+ years
Azure/AWS Cloud Administrator (AI Deployment) - Looking for a skilled Azure or AWS Cloud Administrator with hands‑on experience in cloud implementation, deployment automation, and AI/ML model operationalization. This role supports cloud infrastructure, CI/CD pipelines, and production‑ready AI workloads
AI deployment - 2 years
Job Title: Cloud Developer
Location: Boston, MA
Only for W2
Job Overview:
We are looking for an experienced AWS Cloud Developer to build and manage cloud-based analytics and dashboards for device and fleet data. The role involves Athena, and AWS visualization tools to create reliable datasets, optimized queries, and operational dashboards.
Key Skills Required:
- 4+ years of AWS cloud development experience
- Strong SQL and Amazon Athena experience
- Hands-on with Amazon S3 analytics workflows
- Experience with QuickSight or CloudWatch dashboards
- TypeScript development experience
- Knowledge of Git, CI/CD, and SDLC practices
Salary range:
The UC academic salary scales set the minimum pay at appointment. See the following table(s) for the current salary scale(s) for the Lecturer position: The current full-time salary range for the Lecturer position is $70,977-$199,722.
Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department. The current salary range for TSP positions is $1,455.90 - $3,440 flat rate per bootcamp taught.
Percent time:
11%-100%
Anticipated start:
We typically start reviewing applications for Fall and Summer courses in December, for Spring courses in August-September, however we encourage applications throughout the year as new needs may arise.
Anticipated start date for TSP is summer 2026 or future semesters.
Application Window
Open date: July 1, 2025
Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.
We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.
Teaching Responsibilities:
STATISTICS 2: Introduction to Statistics
STATISTICS C8: Foundations of Data Science
STATISTICS 20: Introduction to Probability and Statistics
STATISTICS 21: Introduction to Probability and Statistics for Business
STATISTICS 33A: Introduction to Programming in R
STATISTICS 33B: Introduction to Advanced R
STATISTICS 88: Probability and Mathematical Statistics in Data Science
STATISTICS C100: Principles and Techniques of Data Science
STATISTICS 131A: Statistical Methods for Data Science
STATISTICS 133: Concepts in Computing with Data
STATISTICS 134: Concepts of Probability
STATISTICS 135: Concepts of Statistics
STATISTICS 150: Stochastic Processes
STATISTICS 151A: Linear Modeling: Theory and Applications
STATISTICS 153: Time Series
STATISTICS 154: Modern Statistical Prediction and Machine Learning
STATISTICS 155: Game Theory
STATISTICS 159: Reproducible and Collaborative Statistical Data Science
General Duties:
General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.
TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .
Department:
Division:
To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit::
Statistics Course Descriptions: courses/stat/
Qualifications
Basic qualifications (required at time of application)
The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).
Additional qualifications (required at time of start)
Additional qualifications include evidence of college level instructional experience.
Preferred qualifications
Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.
Application Requirements
Document requirements
Curriculum Vitae - Your most recently updated C.V.
Cover Letter
Statement of Teaching Philosophy and Experience
Teaching Documentation - Teaching materials and/or student evaluations.
Copy of Transcript (Optional)
Reference requirements
- 2-3 required (contact information only)
Apply link:
JPF04974
Help contact:
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
Job location
Berkeley, CA
**DO NOT APPLY FOR THIS POSITION THROUGH LINKED IN. ONLY APPLICATIONS SUBMITTED THROUGH ADP LINK BELOW WILL BE CONSIDERED**
Maria University invites applications for an Assistant or Associate Professor of Computer Science to start July 1, 2026. The primary duties of this position include regular instruction of a wide range of undergraduate computer science courses, advising and mentoring undergraduate students, pursuing an active research program that includes scholarly publications, and engaging in service to the University. We encourage applicants from all areas of computer science to apply. The standard teaching load is twelve credits per semester (typically three four-credit courses).
Minimum Qualifications include
- a Ph.D. in Computer Science or a closely related field (e.g., Computer Engineering), conferred by July 1, 2026;
- an active research program;
- teaching experience with a commitment to excellence in undergraduate education and the Catholic liberal arts tradition; and
- a dedication to the University’s mission as expressed in Ex Corde Ecclesiae.
Preferred Qualifications include
- Demonstrated excellence in teaching, which may include employing active and experiential learning strategies
- Experience effectively advising and mentoring undergraduate students, especially on capstone projects
- Scholarly, peer-reviewed publications related to the candidate's area of research expertise and a commitment to strengthening and expanding the department's research
- Experience in working collaboratively with various constituents, including colleagues, industry professionals, and community members
How to Apply
A complete application consists of:
- One-page cover letter that addresses all minimum and any applicable preferred qualifications met
- Curriculum Vitae
- Statement addressing research plans (a maximum of three pages)
- Statement of the applicant's teaching philosophy, including how it relates to the University's Catholic mission as expressed in Ex Corde Ecclesiae
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(a minimum of two pages, but no more than three pages)
Only when requested by the search committee, candidates should arrange for three confidential letters of recommendation to be submitted in support of their application.
Review of applications will begin on November 1, 2025 and continue until the position is filled.
Only complete applications will be considered. Official transcripts are required for faculty appointment and will be requested upon selection of the final candidate.
Questions should be directed to Dr. Saverio Perugini, Computer Science Program Director and Search Committee Chair, at
The Computer Science program is offered through the Department of Computational and Mathematical Sciences.
- Ave Maria University is a Catholic, liberal arts institution of higher learning. The University is an Equal Opportunity Employer and provides an excellent benefit package to full-time faculty.
Senior Software Engineer (Backend | Java/Python | AWS)
We’re looking for a Senior Software Engineer to join a high-impact Metadata Engineering team focused on powering the backend systems behind large-scale streaming platforms.
This role is all about building the systems that organize, structure, and distribute content data — helping ensure a seamless viewing experience for millions of users.
What You’ll Do
- Design and build scalable backend systems and services
- Own features end-to-end (design → development → deployment)
- Improve existing systems and workflows for performance and scalability
- Collaborate with cross-functional teams (Product, TPMs, Engineering)
- Mentor junior engineers and contribute to technical direction
What You Need
- 5+ years of backend software engineering experience
- Strong experience with Java and Python
- Hands-on experience with AWS (Lambda, SQS/SNS, Kinesis, DynamoDB, etc.)
- Experience with SQL and/or NoSQL databases
- Familiarity with event-driven architectures (Kafka, Kinesis, etc.)
- Strong understanding of data structures, algorithms, and system design
- Ability to work independently and solve complex problems
Nice to Have
- Experience with Graph databases (Neo4j)
- Familiarity with Terraform or GraphQL
Requirements
- Bachelor’s degree in a STEM field
- Strong backend engineering background (non-negotiable)
Why This Role?
- Work on high-scale systems powering major streaming platforms
- Be part of a team shaping how content data is structured and delivered
- Opportunity to make a real impact on user experience at scale