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Job Description

This position offers a unique opportunity to work on advanced projects at the intersection of AI, machine learning, computer vision, and multimodal learning, focusing on advancing the Large Language Models (LLMs). The successful candidate will work on pioneering research projects that push the boundaries of what AI can achieve, particularly in the domain of multimodal learning. You will have the opportunity to develop innovative algorithms and models that integrate multiple data modalities, collaborate with industry partners, and contribute to high-impact publications.

Job Responsibilities

1. Research and Innovation:Conduct cutting-edge research in AI, machine learning, and multimodal learning, with a focus on developing Large Language Models (LLMs) that process and generate multimodal data (text, audio, video, images).Explore and implement new algorithms and methodologies to enhance the performance of LLMs in various real-world applications.

2. Model Development and Optimization:Design, build, and fine-tune LLMs and other AI models to address complex challenges in multimodal learning.Develop scalable and efficient architectures for deploying models in real-world environments.

3. Collaboration and Industry Partnerships:Collaborate closely with industry partners to align research with practical applications, ensuring that developed models and solutions address real-world needs.Participate in cross-functional teams to apply research findings to industry-related projects.

4. Publishing and Dissemination:Prepare and publish high-quality research papers in top-tier journals and present findings at leading academic conferences.Contribute to technical reports and documentation for both academic and industry audiences.

5. Mentorship and Lab Contributions:Mentor graduate and undergraduate students in the lab, guiding them in research methods, experimental design, and technical skills. Contribute to the overall success of the lab by collaborating on ongoing projects and assisting with grant proposals and reports.

Minimum Qualification

Ph.D. from an accredited institution in Computer Science, Electrical and Computer Engineering, or a related field with a focus on AI, NLP (natural language processing), machine learning, or data science.

Preferred Qualifications

Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3, Gemma, Mistral AI, and others.
Multimodal Learning Experience: Demonstrated experience in integrating and processing multiple data modalities (text, audio, video, images) using AI/ML techniques.
Programming Proficiency: Strong programming skills in Python, with experience in deep learning frameworks such as TensorFlow, PyTorch, and associated libraries.
Research Excellence: Proven track record of publications in high-impact journals and conferences in relevant fields.
Collaborative Mindset: Ability to work effectively in a multidisciplinary team, with strong communication and leadership skills.

Department

Work Schedule

Type of Appointment

Expected Salary

Equal Employment Opportunity Statement:

The University of Central Florida is an Equal Opportunity/Affirmative Action Employer including Disabled/Vets. Click on UCF's Equal Opportunity Statement to view the President's Statement.

The UCF affirmative action plans for qualified individuals with disabilities and protected Veterans are available for inspection in the Office of Institutional Equity, Monday through Friday, from 9:00 a.m. to 5:00 p.m., upon request.

As a Florida public university, UCF makes all application materials and selection procedures available to the public upon request.

The University of Central Florida is proud to be a smoke-free campus and an E-Verify employer.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Flight Controls Engineer at Reliable Robotics, you will be part of the Guidance, Navigation, and Control (GNC) Team. You will design, implement, integrate, and test flight control laws for all phases of operation including autotaxi, auto-takeoff, autoland, and automatic rollout. You integrate real-world hardware and C/C++ flight software as part of ongoing flight test programs, and perform simulation analysis and data reduction in our Python and C/C++ modeling & simulation environment.

Responsibilities

• Establish autoflight and flight control system requirements

• Interface with Pilots and Operations team to develop flight test plans, respond to squawks, and communicate design updates

• Design and analyze flight control laws from conceptual design through implementation and certification

• Develop simulation models to evaluate flight control system performance and stability

• Implement control laws and algorithms in flight software

• Test flight software in simulation, Monte Carlo, hardware-in-loop, and flight

Basic Success Criteria

• BS in aerospace engineering, robotics, or equivalent field

• 3+ years of hands on, professional experience developing and testing flight controls algorithms

• Experience with flight dynamics simulation and model identification

• Professional experience with developing C/C++ flight software and Python data reduction & analysis

• Excellent written and verbal communication skills

Preferred Criteria

• MS in aerospace engineering, robotics, or similar advanced degree

• Current pilot, instrument or commercial ratings

• Experience with flight controls, autopilot, or flight management system certification

We are developing and building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the entire team, you will be making key contributions to the autoflight system that drive our core company mission forward.

This position is based at our facility in Mountain View, California.

Must be willing to travel up to 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $155K - $215K

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

Our Flight Software team is at the core of Reliable's autonomy mission, building safety critical embedded flight software, maturing next generation detect and avoid and communications technology, FPGA designs, and simulation and test infrastructure. We're deeply involved in all aspects of the development and certification of the Reliable Robotics autonomy stack, and play a central role in bringing our aircraft to life.

Responsibilities

As a Flight Software Manager at Reliable Robotics, you'll lead and grow the team responsible for the safety critical flight software that makes the aircraft fly. You'll own the maturation of engineering processes to balance immediate engineering execution with formal DO-178C verification, supporting rapid integration and testing of GNC algorithms while building out the software architecture for certification.

You'll provide technical and architectural guidance on flight software components, from flight controls to redundancy management. You'll work closely with leads across Guidance, Navigation, and Controls (GNC), Avionics, Systems, and Hardware to develop and execute technical roadmaps, manage priorities, and ensure your team is unblocked and empowered to deliver robust, reliable, and certifiable flight software enabling advanced autonomy.

Basic Success Criteria

• Bachelor's Degree in Aerospace, Computer Science, or related discipline

• 7+ years of professional experience in real-time embedded software development (C/C++)

• 3+ years in a technical leadership or people management role

• Experience working on complex systems where hardware and software intersect

• Experience with Guidance, Navigation, and Control (GNC) algorithms, flight dynamics, and state estimation

Preferred Criteria

• Demonstrated success scaling teams and maturing development processes in a high-growth environment

• Experience designing and implementing fault-tolerant systems and redundancy management schemes

• Experience working through the full lifecycle of a DO-178C certification program

• Professional experience with Python for tooling, test, and data analysis

This role is located onsite at our HQ in Mountain View, CA. Must be willing to travel 10% of the time.

At Reliable Robotics, we strive to provide competitive and rewarding compensation based on experience and expertise, as well as market conditions, location, and pay equity.

In addition to base compensation, Reliable Robotics offers stock options, employee medical, 401k contribution, great co-workers and a casual work environment.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $180K - $260K

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Flight Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define navigation system requirements in collaboration with internal and external stakeholders

• Analyze, source, and select sensor solutions for use in the navigation system

• Develop sensor models in simulation for evaluation of the navigation system

• Implement state estimation algorithms in flight software

• Establish test methods to ensure compliance with requirements, best practices, and regulatory standards

• Evaluate the navigation system performance via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies

• 8+ years of professional experience developing and testing navigation algorithms

• Professional experience with developing C/C++ flight software and Python data reduction & analysis

• Excellent written and verbal communication skills

Preferred Criteria

• PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: probability theory; fault detection and exclusion (FDE); sensor error/noise modeling; or GPS-denied navigation

• Experience developing software for safety critical applications

• Experience with navigation system certification

We are building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the whole team, you will contribute to a novel navigation system that drives our mission forward.

Must be willing to travel 25% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $200K - $300K

Open date: February 19, 2026

Most recent review date: Thursday, Mar 5, 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, Mar 23, 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.

The Department of Earth and Planetary Science at the University of California, Berkeley seeks applications for an Assistant Project Scientist in the area of Atmospheric Science, specifically Cloud Physics, using Stereophotogrammetry, Remote Sensing, and Computational Modeling to study moist convection, with strong emphasis on instrument development (cameras), data processing (calibration, stereo reconstruction algorithms), scientific leadership, and mentorship in physical sciences.

This position will be in David Romps' group in the Earth and Planetary Science Department of UC Berkeley. The group at UC Berkeley and Lawrence Berkeley National Laboratory (LBNL) uses theory, simulation, and observation of clouds and atmospheric dynamics to improve our understanding of Earth's climate.

The successful candidate will co-lead the development of cameras for the stereophotogrammetry of clouds, combining the camera data with the theory of physical processes and related numerical simulations to answer scientific questions about moist convective dynamics.

Assist with supervising and mentoring postdocs, graduate students, and undergraduate students. The Assistant Project Scientist will collaborate with David Romps' group to produce publications, as well as contribute to proposals and progress reports. Maintain the code base responsible for camera calibration, feature matching, stereo reconstruction, and volume filling. Develop new stereo-reconstruction algorithms to keep our program at the cutting edge of cloud photogrammetry. Manage the operations of the cameras, including calibration, maintenance, and troubleshooting.

Labor Contract: resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

Department: home

The Climate Physics Group:

PhD or equivalent international degree.

* 2 years of experience since PhD in applied physics of meteorological processes, measurements, or impacts.

* PhD in physics or related STEM field.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.
  
  (Optional)

  
  

• 3 required (contact information only)

Help contact:

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
  

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 Scheller College of Business

The Scheller College of Business' Full-time MBA Program is ranked #9 among public universities by Bloomberg BusinessWeek (2021) and U.S. News & World Report (2023). Georgia Tech is one of the nation's leading research universities and consistently ranks among the top public universities in the country. Atlanta is the 9th largest metropolitan area in the U.S. and serves as a cultural and economic hub for the region.

The Scheller College of Business at the Georgia Institute of Technology in Atlanta, Georgia, seeks applications for a research-focused Postdoctoral Fellow in Information Technology Management (ITM). The initial appointment is for one year and may be renewed for up to two years, depending on satisfactory performance. The postdoc can begin as soon as January 2026 or as late as August 2026 we are happy to accommodate the timeline that works best for the selected candidate.

The role involves close collaboration with the ITM area faculty on mutually selected research projects. Two preferred areas of focus for our group are:

Studying the application of LLMs in online multisided platforms, such as the design and optimization of LLM-powered advertising mechanisms, and strategic interaction between platform participants. We are particularly interested in how LLMs influence user engagement, attention allocation, and economic outcomes on digital platforms, including auction-based advertising markets and dynamic information environments.

Developing economic frameworks for data valuation and privacy in business applications, including topics such as federated learning, copyright-preserving generative models, data marketplace pricing, and incentive-compatible privacy mechanisms. This line of research aims to connect information economics, machine learning algorithms, and market design, to address practical concerns in decentralized data governance, trustworthy machine learning, and platform strategy.

Responsibilities for this position include :

• Work on high-impact research projects, from conceptualization, data collection, and data analysis to manuscript preparation and publication.
• Teach one 3-credit course each year.
• Perform related services based on the needs of the ITM area

• A Ph.D. or equivalent degree in information systems, economics, management science, computer science, statistics, operations, or other related quantitative and/or social science domains
• The degree must completed by the position start date. For example, ABD (All but dissertation) candidates must have successfully defended their dissertation no later than July 1, 2026 for an August 1, 2026 start date.
• Strong analytical, quantitative, and communication skills.

• Knowledge in machine learning, generative models and LLM.
• Knowledge in data privacy technologies, including but not limited to federated learning, differential privacy, copyright preserving technologies in generative models.
• Knowledge in microeconomic theory, including but not limited to mechanism design, auction theory, game theory
• Prior teaching experience

Applicants should submit:

• A cover letter (please discuss research themes or topics that you'd like to pursue and any relevant research or industry experience)
• Your CV
• Names and contact information of three references as a single pdf file, and
• One published or working paper.

Review of applications will begin immediately and continue until the position is filled. To receive full consideration, please submit your application no later than 2

The selection process for the chosen candidates will include passing a pre-employment background screening, submission of transcripts, as well as other pre-employment documents once top candidates have been identified.

Questions can be sent to addressing Professor Mingxi Zhu or Professor Lizhen Xu

We welcome candidates with strong skills in areas including, but not limited to, analytical modeling; economic theory (such as game theory, mechanism design, and information design); and machine learning (including algorithm design, analysis, and generative models such as large language models). While a background in information systems is preferred, we also encourage applicants from related fields such as economics, computer science, operations research, and statistics. We are particularly interested in scholars who can integrate economic theory with computational approaches to address key challenges at the intersection of artificial intelligence, digital markets, and information technologies.

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.

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 individual's 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.

This is not a supervisory position.
This position does not have any financial responsibilities.
This position will not be required to drive.
This role is not considered a position of trust.
This position does not require a purchasing card (P-Card).
This position will not travel
This position does not require security clearance.

Successful candidate must be able to pass a background check. Please visit employment/pre-employment-screening

Applicants with the need for an accommodation: Georgia Tech is committed to ensuring that its online applicant process provides an equal employment opportunity to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation due to a disability to search for a job opening or submit an application, please call us at .

This line is designed to assist disabled job seekers whose disability prevents them from being able to apply online. Please do not use this number for non-disability-related inquiries. Only messages left for this purpose will be considered. A response to your request may take up to two business days.

Please note: Messages left for other purposes, such as following up on an application or non-disability-related technical issues, will not receive a response. Please review our FAQs for assistance with common questions.

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Flight Guidance Engineer at Reliable Robotics, you will be a part of the Guidance, Navigation, and Control team. You will contribute to the design, implementation, and testing of the guidance system, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define guidance system capabilities and requirements in collaboration with operations and pilot teams

• Design guidance system features to integrate with flight control systems and pilot displays

• Implement flight guidance algorithms in simulation and flight software

• Reduce and analyze simulation, lab, and flight test data

• Evaluate guidance system performance and behavior via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• BS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• 5+ years professional experience developing guidance or motion planning algorithms for real-time vehicle systems

• Professional C/C++ and Python software development experience

• Excellent ability to communicate system behavior to end users

Preferred Criteria

• MS or PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: motion planning, control systems, probability theory, optimization

• Experience developing software for safety critical applications

• Experience with Flight Management System certification

• Current pilot, instrument or commercial rating

We are developing and building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the whole team, you will contribute to a novel guidance system that drives our mission forward.

This position is based at our facility in Mountain View, California.

Must be willing to travel 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $185K - $245K

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Flight Navigation Engineer at Reliable Robotics, you will be part of the Guidance, Navigation and Control Team. You will contribute to the navigation system design, implementation, and testing, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define navigation system requirements in collaboration with internal and external stakeholders

• Analyze, source, and select sensor solutions for use in the navigation system

• Develop sensor models in simulation for evaluation of the navigation system

• Implement state estimation algorithms in flight software

• Establish test methods to ensure compliance with requirements, best practices, and regulatory standards

• Evaluate the navigation system via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• BS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: Kalman filtering; GNSS navigation; inertial navigation; or alternative navigation technologies

• 3+ years of professional experience developing and testing navigation algorithms

• Professional experience with developing C/C++ flight software and Python data reduction & analysis

• Excellent written and verbal communication skills

Preferred Criteria

• MS in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: probability theory; fault detection and exclusion (FDE); sensor error/noise modeling; or GPS-denied navigation

• Experience developing software for safety critical applications

• Experience with navigation system certification

We are building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the whole team, you will contribute to a novel navigation system that drives our mission forward.

Must be willing to travel 10% of the time. This position is based at our facility in Mountain View, California.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $155K - $215K

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Sr. Flight Guidance Engineer at Reliable Robotics, you will be a part of the Guidance, Navigation, and Control team. You will contribute to the design, implementation, and testing of the guidance system, and your work will enable the integration of uncrewed aircraft into the National Airspace System.

Responsibilities

• Define guidance system capabilities and requirements in collaboration with operations and pilot teams

• Design guidance system features to integrate with flight control systems and pilot displays

• Implement flight guidance algorithms in simulation and flight software

• Reduce and analyze simulation, lab, and flight test data

• Evaluate guidance system performance and behavior via simulation, hardware-in-loop, and flight test cases

Basic Success Criteria

• MS in aerospace engineering, robotics, or equivalent field

• 8+ years professional experience developing guidance or motion planning algorithms for real-time vehicle systems

• Professional C/C++ and Python software development experience

• Excellent ability to communicate system behavior to end users

Preferred Criteria

• PhD in aerospace engineering, electrical engineering, computer science, or similar advanced degree

• Technical expertise in one of the following areas: motion planning, control systems, probability theory, optimization

• Experience developing software for safety critical applications

• Experience with Flight Management System certification

• Current pilot, instrument or commercial rating

We are developing and building high-integrity, safety-critical systems for automated flight, and your role is critical to what we do at Reliable Robotics. With the support of the whole team, you will contribute to a novel guidance system that drives our mission forward.

Must be willing to travel 10% of the time.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $200K - $300K

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 Georgia Tech

The College of Computing at the Georgia Institute of Technology (GT Computing) is a national and world leader in the creation of real-world computing breakthroughs that drive social and scientific progress. Our undergraduate program is ranked #5 and our graduate program #6 in the country by US News and World Report. GT Computing includes more than 200 faculty members in the schools of Computational Science and Engineering, Computer Science, Interactive Computing, Cybersecurity and Privacy, and Computing Instruction. Those faculty teach more than 15,000 students, including more than 10,000 in our groundbreaking Online Masters of Science in Computer Science (OMSCS) program. With an unconventional approach to education, GT Computing is defining the new face of computing by expanding the horizons of traditional computer science students through interdisciplinary collaboration and a focus on human-centered solutions. For more information about GT Computing, its academic divisions and research centers, please visit .

Atlanta, GA

The College of Computing (CoC) at the Georgia Institute of Technology (Georgia Tech) invites applications and nominations for two inaugural Krishna A. Bharat Professorships in Computational Journalism, at its campus in Atlanta, Georgia. The Bharat Professorships will further research and innovation that focuses on information access in the public sphere, exploring responsible, civic-minded approaches to computational journalism and civic technologies broadly. The chair is endowed by Krishna Bharat, a Georgia Tech doctoral alumnus in computer science and the founder of Google News.

The scope of this search is not limited to journalism as conventionally defined. It may include candidates whose backgrounds span a variety of fields that inform civic life - including communication, public policy, political science, statistics, and law - who have the ability to teach and mentor a student body and to promote an inclusive and welcoming educational and work environment. Examples of research might include (but are in no way limited to) understanding the impact of algorithmic recommendations on political discourse; exploring how AI and machine learning can support new models of journalism with a positive societal impact; analysis of court records at scale to understand the impact of new laws on legal outcomes; addressing the spread of misinformation and disinformation in social networks; using algorithms or computer simulations to study gerrymandering; or the role of information visualization to investigate and communicate complex information.

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.

We seek transformative scholars and leaders who can bring about a synergy of various multidisciplinary methods in computational research, in fostering collaboration between citizens, government entities, and other stakeholders, or in enhancing and improving civic engagement, governance, and the overall functioning of communities and societies.

The ideal candidate's research and teaching could encompass a broad range of solutions and approaches aimed to bridge the gap between citizens and government, creating a more transparent, responsive, and participatory democratic environment. They should have a demonstrated record of success as a respected researcher, academician, or professional in relevant areas, a sincere commitment to teaching, and a deep dedication to the ethos of service to an informed, diverse public. Applicants and nominees from computer science, information science, journalism, policy, law, communication, the media industry, and all related fields are welcome.

Applicants are expected to hold a terminal degree in their field and should have the ability to teach and mentor a student body.

Candidates for these endowed chair professorships must present qualifications suitable for appointment in one or more of the College of Computing's five schools (Interactive Computing; Cybersecurity and Privacy; Computer Science; Computational Science and Engineering; and Computing Instruction). Joint or adjunct appointments in other colleges may also be possible.

Application materials should be submitted via Academic Jobs Online ajo/jobs/31031. Candidates must include a curriculum vitae and a cover letter that addresses the applicant's contributions and vision for computational journalism and civic technology at Georgia Tech and beyond. Questions about the position or process, as well as confidential nominations for the position, can be emailed to the chair of the search committee, Dr. Keith Edwards: .

Preference will be given to applications submitted before January 15, 2026, but we will continue accepting applications until the position is filled.

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.

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.

For more details about the position, please visit: bharat-endowed-faculty-professorships.